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GitLab positions itself as the AI-powered DevSecOps platform that boosts developer productivity, operational efficiency, security/compliance, and digital transformation, trusted by more than 50 million users and over half of the Fortune 100, with AI embedded as a core productivity multiplier in its culture. The role is with GitLab’s Canada Enterprise Team serving government accounts and requires an enterprise sales background in the public sector, along with knowledge of the software development lifecycle, CI/CD automation, secure development practices, and infrastructure modernization in regulated environments. What you’ll do includes leading strategic accounts, directing pre- and post-sales activities, prospecting and developing opportunities, ensuring rollout and adoption, voicing customer needs to product teams, generating leads with channel partners, forecasting, and collaborating across marketing, sales, and technical groups. What you’ll bring includes a genuine focus on delivering customer value, strong account management and negotiation skills, experience selling to large organizations, a consultative selling approach with the ability to craft formal quotes or proposals, and preferred familiarity with Git, ALM, or security tools, plus willingness to travel and work remotely. GitLab also highlights remote-global hiring, generous benefits (including flexible PTO, equity, parental leave, and development funds), a strong commitment to equal opportunity and non-discrimination, and accommodations for disabilities, along with recruitment and privacy policies.

GitLab presents itself as an intelligent DevSecOps orchestration platform that increases developer productivity, operational efficiency, security/compliance, and digital transformation, trusted by millions and many Fortune 100 companies, with a culture that embraces AI as a productivity multiplier. The Professional Services Technical Architect leads the technical direction for customer engagements, designs high-level reference architectures for self-managed and cloud environments, and guides migrations to GitLab using tools like Congregate, Terraform, and Ansible. They are responsible for delivering the full technical lifecycle, building repeatable delivery kits and enablement materials, mentoring others, coordinating across teams, and ensuring scalability, security, and compliance in proposed architectures, while maintaining 55% billable utilization. Candidates should have strong communication skills, be UK-based/remote with up to 50% travel, and have hands-on experience in source code management migrations, cloud/DevOps/CI/CD consulting, Terraform/Ansible, and migration tooling; a bachelor’s degree or equivalent is expected. GitLab emphasizes a remote, asynchronous, inclusive work environment with equal opportunity policies, offers benefits like flexible PTO, equity, and parental leave, and hires globally, though some location-based eligibility may apply.

GitLab positions itself as an intelligent orchestration platform for DevSecOps used by 50M+ registered users and Fortune 100 companies, with AI embedded as a core productivity multiplier and a culture that values every voice. The role is Technical Program Manager on the all-remote R&D PMO, owning end-to-end programs aligned with the AI-powered DevSecOps strategy and driving initiatives like the GitLab Duo Agent Platform from concept to enterprise adoption. Responsibilities include leading cross-functional programs across product, engineering, data, and security; translating strategy into actionable roadmaps; coordinating distributed teams with asynchronous communication; managing risks and dependencies; and partnering with customer success to refine communications and workflows while upholding GitLab values. Requirements include proven experience delivering complex SaaS/cloud/DevOps programs, the ability to create clarity in ambiguity, strong cross-functional leadership with executives, and outstanding communication and stakeholder management, with GitLab welcoming diverse backgrounds and candidates who may not meet every requirement. The team is all-remote, spanning North America and Europe, with comprehensive benefits and location-based eligibility considerations, and GitLab emphasizes equal opportunity and nondiscrimination in its hiring and employment practices.

GitLab presents itself as an intelligent DevSecOps orchestration platform trusted by over 50 million registered users and more than half of the Fortune 100, emphasizing AI as a core productivity multiplier and a culture that values every voice. The role is a Technical Program Manager on GitLab's all-remote R&D PMO, responsible for end-to-end programs central to its AI-powered DevSecOps strategy, translating strategy into executable roadmaps and driving initiatives like the GitLab Duo Agent Platform. You will lead cross-functional programs across product, engineering, data, and security, coordinate distributed teams across time zones with asynchronous communication, and maintain comprehensive program plans while managing risks and dependencies. Qualifications include proven experience leading technical programs in SaaS/cloud/DevOps contexts, ability to define strategy amid ambiguity, strong executive stakeholder management, exceptional communication, and a collaborative leadership style; candidates from diverse backgrounds are welcome. The team is all-remote across North America and Europe; the US base salary range is $203,200–$345,600, with additional benefits such as PTO, equity, parental leave, and growth funds, and GitLab emphasizes equal opportunity and accommodation.

GitLab is an intelligent DevSecOps orchestration platform trusted by over 50 million users and many Fortune 100 companies, with AI embedded as a core productivity multiplier across the organization. The company is seeking a Principal Security Researcher on the Application Security team to conduct cutting-edge security research on GitLab’s AI-powered DevSecOps capabilities, including AI agent security and human/AI collaboration workflows. Responsibilities include leading security research projects, identifying systemic and chained vulnerabilities, validating exploits, building scalable tooling, and translating findings into actionable remediation and security requirements while mentoring others. Requirements include 10+ years in security research, proficiency in multiple languages (Ruby, Go, Python, TypeScript, or Rust), strong knowledge of AI frameworks and AI attack vectors, and excellent communication; nice-to-have credentials include published research or distributed-systems experience. The role is remote (US-based) with a base salary range of $203,200–$275,000, plus benefits, equity, and growth opportunities, and GitLab emphasizes equal opportunity and inclusive hiring practices.

GitLab seeks a Principal Security Awareness & Human Risk Engineer within its Security Assurance organization to own the global security awareness and education program and drive measurable reductions in human-related security risk by embedding secure behaviors and culture. Responsibilities include evolving annual, new-hire, role-based, targeted, executive, and microlearning content; running end-to-end phishing simulations; applying behavior-change methods; building security campaigns and multimedia content; administering training and phishing platforms; defining KPIs and reporting; and managing vendor relationships. Requirements include at least 10 years of experience in building global awareness programs in large, distributed enterprises (preferably regulated industries), SANS SSAP or equivalent, experience with enterprise phishing programs, vendor evaluations/negotiations, instructional design, security policy knowledge, and the ability to influence across technical and non-technical teams in an all-remote organization. The role sits in the Security Risk Team, which handles third-party risk and risk assessments, and collaborates with Security Compliance, Governance, and Enablement to strengthen trust and risk reduction. The position is remote with a US base salary range of $203,200–$275,000, plus benefits, equity, and potential incentive pay, with GitLab emphasizing flexible work, growth opportunities, equal opportunity, and accommodations.

GitLab markets itself as an intelligent orchestration platform for DevSecOps that increases developer productivity, operational efficiency, security and compliance, and accelerates digital transformation, trusted by 50 million+ users and over 50% of the Fortune 100. AI is treated as a core productivity multiplier, with every team member expected to incorporate AI into daily workflows to drive efficiency, innovation, and impact, within a high-performance culture built on Speed with Quality, Ownership Mindset, and Customer Outcomes. The Principal Program Manager, Go-To-Market role oversees two pillars of GTM execution for Product & Technical Marketing: architecting AI-driven launches and managing cross-functional PTM initiatives across Product Management, Design, Growth Marketing, Comms, Social, and Field Enablement. The role requires extensive high-stakes program management experience, hands-on work with AI agents and automations, and a track record turning manual work into AI workflows while coordinating with executive leadership and multiple teams to land decisions. The package includes a US-based base salary range of $203,200–$345,600, potential incentives up to 100% for sales roles, comprehensive benefits, remote global hiring, and a firm commitment to equal opportunity and accommodation.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million registered users and over half of the Fortune 100 trusting GitLab to ship better, more secure software faster. The company promotes AI as a core productivity multiplier, requiring all team members to incorporate AI into daily workflows to drive efficiency, innovation, and impact, within a high-performance culture guided by values and continuous knowledge exchange. The role of Principal Product Manager, Software Factory, is to define and unify GitLab’s end-to-end software creation experience—from planning and specification through coding, review, and verification—and align it across the GitLab Duo Agent Platform and other product areas. You’ll define the product vision, partner with cross-functional teams, identify gaps, apply strong product and design judgment to clarify complex workflows, and present direction and tradeoffs to senior leadership; qualifications include senior-level product management across multi-team initiatives, end-to-end workflow understanding, AI/devops or developer tools experience, technical judgment, user experience instincts, cross-functional influence, and strong communication. The role sits within a broader team focused on delivering a cohesive customer experience by connecting multiple groups, with remote, worldwide hiring, generous benefits, and an inclusive, equal-opportunity policy that welcomes applicants from diverse backgrounds and accommodations as needed during recruitment.

GitLab presents itself as an intelligent DevSecOps orchestration platform trusted by 50M users and over half of the Fortune 100, with AI treated as a core productivity multiplier across the company culture. The Principal Product Manager role focuses on custom models and self-hosted AI experiences, balancing model choice, agent-based workflows, usability, and operational realities like configuration, infrastructure, and hardware. You will lead strategy and roadmap for these capabilities, drive discovery and delivery, collaborate with engineering and design, define self-hosted requirements, and align with the broader platform strategy while prioritizing customer value and long-term quality. Qualifications include owning product strategy for technical platforms or AI products, knowledge of AI model ecosystems (custom/open models), familiarity with self-hosted deployments, ability to work with engineers on configuration and hardware constraints, and strong communication in a distributed team; the team is small, remote, and highly collaborative. The role offers a US salary range of $203,200–$345,600 plus benefits, equity, and growth options, with GitLab as an equal opportunity employer and remote-friendly recruitment with location-based guidelines.

GitLab is an intelligent DevSecOps platform that boosts developer productivity, improves operational efficiency, reduces security and compliance risk, and accelerates digital transformation, trusted by 50 million+ users and many Fortune 100 companies, with AI embedded as a core productivity multiplier. The role of New Business Account Executive for the Netherlands focuses on acquiring net-new customers, expanding market presence, managing the full sales cycle from outreach to close, and building pipeline through high-quality prospecting, in collaboration with a dedicated SDR pod and cross-functional teams. You’ll conduct discovery, quantify impact, engage C-level and multi-stakeholder buyers, develop strategic territory plans, coordinate technical evaluations and proofs of concept, and apply MEDDPICC and Command of the Message to forecast and progress deals. Requirements include 5+ years of B2B SaaS sales with a track record of greenfield logo acquisition and new business development, comfort with consumption-based models, strong discovery and consultative selling, proficiency with Salesforce and other tools, and Dutch and English language skills. The New Business team operates like a startup within GitLab, pursuing high-velocity, repeatable outbound motions in untapped markets, and GitLab offers remote global roles with benefits such as flexible PTO, equity, parental leave, and a strong commitment to equal opportunity and inclusivity, plus accommodations in recruitment.

GitLab is an intelligent DevSecOps orchestration platform used by 50M+ registered users and trusted by over half of the Fortune 100, with a culture that embraces AI as a core productivity multiplier. The Migration Engineer for GitLab Dedicated partners with customers to migrate from self-managed GitLab to GitLab Dedicated, using GitLab Geo to replicate data and manage cutovers with minimal disruption while improving tooling for repeatable migrations. Key responsibilities include delivering migrations end-to-end (assessment, planning, replication, cutover, post-migration validation), designing network connectivity within GitLab Dedicated constraints, applying infrastructure as code practices, advising on sequencing and risks, and collaborating with multiple teams to resolve blockers. Required qualifications include experience with customer-facing migrations or deployments, solid GitLab and source-control knowledge, IaC tools (Terraform, Ansible, etc.), production Kubernetes experience, cloud provider familiarity, and programming language skills (Go, Python, or Ruby), along with the ability to lead multiple projects remotely; PubSec/Federal experience is a plus. The role is part of the Dedicated Infrastructure team, is remote and globally distributed, offers a US base salary range of $126,400–$213,600 plus benefits and growth opportunities, and GitLab is an equal opportunity employer that provides accommodations and privacy protections.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million users and more than 50% of the Fortune 100, with AI embedded as a core productivity multiplier and a high-performance, inclusive culture. The role is a Support Engineering Manager for GitLab’s US Government customers, leading a team of support engineers to troubleshoot complex environments and ensure exceptional end-to-end support. You’ll hire and develop engineers, refine processes, partner with product and engineering to address government-specific needs, and participate in on-call rotations and customer interactions to shape secure, reliable government support. Candidates should have experience leading enterprise support teams, handling regulated data and crisis incidents, and collaborating cross-functionally, with openness to transferable leadership backgrounds. The position is remote in the United States with a salary range of $115,200–$194,400 plus benefits and equity, and GitLab affirms equal opportunity and privacy protections, encouraging applicants from diverse backgrounds.

GitLab is an intelligent orchestration platform for DevSecOps that increases developer productivity, improves operational efficiency, reduces security and compliance risk, and accelerates digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI as a core productivity multiplier. The Manager, Solutions Architects for the Enterprise team leads a distributed group of intermediate and senior Solutions Architects serving Enterprise customers in the East territory to validate GitLab's Enterprise Edition and drive adoption across the full software development lifecycle. Responsibilities include hiring, coaching, and retaining a high-performing team; guiding customer opportunities from discovery through technical validation and adoption; driving the quality of technical evaluations, demos, and proofs of concept; and partnering with Sales, Engineering, Product Management, and Marketing while defining and tracking KPIs and communicating progress. Required qualifications include experience mentoring technical teams; leading enterprise pre-sales or IT professionals; strong technical presentation and cross-functional collaboration skills; knowledge of the end-to-end software development lifecycle, CI/CD, and cloud concepts; travel willingness and ability to learn GitLab tools. The Enterprise team is fully remote across North America; the role offers a US salary range of $142,200–$213,300 with incentives up to 100% of base, plus comprehensive benefits, and a strong commitment to equal opportunity and inclusive hiring along with privacy and location-based eligibility considerations.

GitLab is an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, and security while accelerating digital transformation, with over 50 million users and Fortune 100 trust, and a culture that treats AI as a core productivity multiplier. The role is Manager, Solutions Architects for the Enterprise team in the San Francisco Bay Area, leading a distributed group of intermediate and senior Solutions Architects serving enterprise customers in the West territory and acting as trusted advisors to validate GitLab's Enterprise Edition and foster adoption across the software development lifecycle. You’ll hire, coach, and retain a high-performing team, guide them through complex technical evaluations and business outcome conversations, drive the quality of demos and proofs of concept, collaborate with Sales, Engineering, Product Management, and Marketing, and define KPIs to track progress. Qualified candidates have experience mentoring technical teams, leading enterprise pre-sales or IT professionals, strong presentation and cross-functional collaboration skills, knowledge of the SDLC, CI/CD, cloud concepts, and customer adoption patterns, and are willing to travel and learn GitLab tools. The Enterprise Solutions Architect team operates fully remote and asynchronous in North America; the role’s base US salary range is $154,200–$231,300 with incentive pay potential up to 100% of base, plus benefits and equity, and GitLab is an equal opportunity employer with inclusive hiring practices and a strong commitment to privacy.

GitLab presents itself as an intelligent DevSecOps orchestration platform that aims to boost developer productivity, security, and digital transformation, with AI integrated as a core productivity tool and a high-performance, values-driven culture. The Manager, Procurement is an individual contributor role supporting the CTO, CIO, and CISO, leading strategic sourcing, vendor management, and contract negotiations for software, cloud infrastructure, and hyperscaler partnerships. Key responsibilities include developing category strategies, managing supplier performance, conducting spend analysis, producing KPI reports for senior leadership, forecasting with Finance, and collaborating across Legal, IT, Security, and Finance while exploring AI-enabled procurement improvements. Requirements include 5-7 years of procurement experience (including at least 3 years in category management), experience with software/SaaS and cloud, familiarity with procure-to-pay processes and P2P systems, strong communication and stakeholder skills, a bachelor’s degree, and a proven track record of delivering cost savings; a software/tech background is preferred. The role is remote globally with a U.S. salary range of $115,200–$194,400 plus benefits, and GitLab emphasizes equal opportunity and an inclusive, privacy-conscious hiring process.

GitLab is an intelligent DevSecOps orchestration platform that increases developer productivity, improves operational efficiency, reduces security and compliance risk, and accelerates digital transformation, with 50 million+ users and trust from more than half the Fortune 100; AI is a core productivity multiplier embedded in daily workflows. The Customer Success Management (CSM) team aligns with customer outcomes, enables use cases, and expands into additional opportunities, serving as a liaison between customers and the GitLab ecosystem. In this role you will mentor and lead a team of CSMs, establish goals with the CSM Director, manage resources and recruitment, ensure onboarding and renewals, drive executive business reviews, and collaborate across Product, Engineering, and Sales to support customer success and OKRs. Candidates should have a proven track record in software/tech sales, consulting, or customer success, experience leading global teams, knowledge of SDLC/DevOps, cloud/container and security technologies, ability to translate strategy into initiatives, and fluency in German. GitLab offers comprehensive benefits (including PTO, equity, parental leave, ERGs, and development funds), supports location-based eligibility for remote roles, and is an equal opportunity employer that values diversity and accommodations.

GitLab is an AI-powered, all-remote DevSecOps platform with more than 50 million registered users and more than 50% of the Fortune 100 trusting GitLab, built around AI as a core productivity multiplier and a high-performance, inclusive culture. The SEC Manager on GitLab’s Accounting team owns end-to-end external financial reporting (including Forms 10-K and 10-Q), drives the quarterly and annual reporting calendar, coordinates across Accounting, Legal, FP&A, and Investor Relations, and leads the earnings release process from the Americas. Responsibilities include preparing or reviewing journal entries and reconciliations, maintaining XBRL disclosures, ensuring SEC and U.S. GAAP compliance, supporting SOX, and driving process improvements and automation in disclosures. Ideal candidates hold a bachelor’s in Accounting with CPA licensure preferred, have SEC reporting experience in public companies or public accounting, strong project management and communication skills, and familiarity with Workiva Wdesk and NetSuite. GitLab offers flexible benefits, a remote-first, globally hiring approach with location-based eligibility, a base US salary range of $139,000–$235,000, and inclusive policies including growth opportunities, equity, parental leave, and privacy protections.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million users and more than half of the Fortune 100, with a culture that embraces AI to boost productivity and innovation. The role is Lead Pricing Strategist in the Pricing team, shaping pricing and packaging across the portfolio including Premium/Ultimate, GitLab Duo, and AI/usage-based products like Flex and Orbit. Responsibilities include collaborating with Product Management, Product Marketing, Finance, go-to-market, Sales, and Deal Desk to develop commercial models, analyze market and usage data, conduct pricing reviews, explore new monetization models, and communicate recommendations to senior leaders. Requirements include extensive SaaS pricing experience, strong analytical and data-visualization skills, the ability to frame ambiguous problems and influence executives, and the capacity to manage multiple cross-functional initiatives. The position offers a US base salary of $139,200–$235,200 (plus bonuses, equity, and benefits elsewhere), remote-friendly work, comprehensive benefits, and GitLab’s commitment to equal opportunity and disability accommodations.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security/compliance, and digital transformation, with AI deployed as a core productivity multiplier across products and daily workflows. The culture emphasizes a high-performance, remote-first, asynchronous environment where every voice is valued and continuous knowledge exchange enables team members to reach their potential. The Internal Events Lead will design, produce, and deliver GitLab’s internal events for a global, distributed workforce, owning the full lifecycle—from concept to post-event analysis—and partnering with the Executive Group, People partners, and cross-functional teams. Requirements include substantial experience with large-scale internal events (500+ attendees), strong project management and budgeting skills, comfort presenting to senior leaders, familiarity with virtual/hybrid platforms, and willingness to use GitLab tools, with the role housed in the People Communications and Engagement function. GitLab offers benefits such as Flexible PTO, equity plans, parental leave, home office support, and employee resource groups, and maintains an equal opportunity employment stance with location-based hiring guidelines and a Recruitment Privacy Policy.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, enhance operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with over 50 million registered users and substantial Fortune 100 trust; AI is embedded as a core productivity multiplier across its products and daily workflows. The company culture emphasizes a high-performance, value-based environment with continuous knowledge exchange, where every voice is valued, careers accelerate, and collaboration with industry leaders drives innovation. The role described is a shift-based Support Engineer position embedded in the Engineering department, requiring 8-hour shifts across four weekdays and one weekend day, where you’ll interact with customers in complex environments and may contribute to code, documentation, and support processes. Responsibilities include supporting Self-managed and GitLab.com customers via Zendesk, merge requests, email, and video conferencing; collaborating with Product, Development, Infrastructure, Customer Success, and Sales to shape goals and roadmaps; creating and updating documentation; participating in pairing sessions and on-call rotations; and contributing to internal tools and projects such as Omnibus install checks, server-state capture, log-to-interactive-table tooling, and ChatOps. Required skills include Linux systems administration (LFCE/RHCE-like), scripting (Ruby or Bash) and Rails familiarity, Git and CI/CD experience, strong ability to write support content and explain complex topics to varied audiences, and familiarity with DevOps, Kubernetes, and related technologies; the team is globally distributed and the role is remote with flexible benefits, and GitLab is an equal opportunity employer with location-based eligibility and a commitment to privacy and anti-discrimination.

GitLab positions itself as the intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, and digital transformation, with AI treated as a core productivity multiplier and more than 50 million users backing its adoption, including many Fortune 100 companies. The role of Support Engineer sits at the intersection of Support and Engineering, embedded in Engineering, where you’ll troubleshoot edge cases in Linux systems, logs, and the Ruby on Rails codebase, contribute merge requests to fix issues at the source, and help improve documentation and support processes. In the first year you’ll gain deep expertise across GitLab’s self-managed and GitLab.com implementations, helping keep customers productive and creating tools and content to enhance support efficiency, such as an automated Omnibus install checker, a tool to capture server state for troubleshooting, a log-to-table converter, and a ChatOps feature to identify user accounts. You’ll support a mix of Self-managed and SaaS customers through Zendesk tickets, email, and video calls; collaborate with Product, Development, Infrastructure, Customer Success, and Sales to shape roadmaps; investigate with Linux tools and the GitLab codebase; produce clear documentation; pair with teammates; participate in on-call rotations; and contribute to improving support processes and automation. The team is globally distributed and remote-friendly, with transparent visibility into work, flexible shifts, and a strong emphasis on equal opportunity and inclusion, supported by a comprehensive benefits package, location-based eligibility notes, and recruitment/privacy policies that encourage diverse applicants.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security and compliance, and digital transformation, trusted by over 50 million users and many Fortune 100 companies. The company embraces AI as a core productivity multiplier and expects all team members to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. The role is an Intermediate Software Engineer on GitLab’s Vulnerability Management team, building core security workflows used to triage, prioritize, and act on vulnerabilities, mainly working with Ruby on Rails backend systems like dashboards, reports, and ingestion pipelines. You’ll own well-defined projects, ship features with minimal guidance, improve performance and scalability of security data ingestion and reporting, collaborate with frontend engineers and other security teams, and participate in on-call rotations. The team focuses on delivering vulnerability management workflows with remote, distributed collaboration, and GitLab offers comprehensive benefits and inclusive, merit-based hiring with location-based guidelines and equal-opportunity policies.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, security, and digital transformation, with AI embedded as a core productivity multiplier and broad trust from users including the Fortune 100. The Platform Readiness team within Infrastructure and Developer Experience builds internal tooling to ensure features ship reliably across all four deployment targets: Self-Managed, Dedicated, Dedicated for Government, and GitLab.com. The Intermediate Backend Engineer role focuses on building and maintaining agentic workflow components on the Duo Agent Platform (including the Core Agentic Workflow and Requirements Agent), contributing to the platform requirements knowledge base, and creating integration surfaces to involve feature teams. Required skills include backend software experience with TypeScript/Node, Python, or Go; comfort with YAML/JSON schemas and Kubernetes; asynchronous communication; and exposure to LLMs or agentic frameworks, with Ruby, GitLab-style workflows, open source contributions, and platform engineering experience highly valued. GitLab emphasizes growth, remote-first global hiring, ample benefits, and an inclusive, merit-based environment, and encourages applicants who may not meet every qualification to apply.

GitLab presents itself as an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, and security while accelerating digital transformation, with over 50 million users and broad Fortune 100 adoption; AI is embedded as a core productivity multiplier in daily workflows. The company emphasizes a high-performance, inclusive, remote-first culture that values every voice and promotes continuous knowledge exchange to co-create transformative software. The Intermediate Backend Engineer role involves taking backend features from clarification through delivery, collaborating with PMs, Frontend, Infrastructure, and Security, and shipping secure, maintainable code in Ruby/Rails, Go, or other modern languages in a remote, asynchronous setting. Responsibilities include owning and shipping features, building for production with APIs and data models, expanding automated test coverage, and engaging in on-call or operational support while productively leveraging AI with proper validation. Ideal candidates bring strong backend fundamentals, adaptability across languages, feature ownership, practical judgment, clear communication, and AI tooling experience, and GitLab offers extensive benefits, growth opportunities, global remote roles, and an inclusive, merit-based hiring policy with accommodations.

GitLab presents itself as the intelligent orchestration platform for DevSecOps, helping organizations boost developer productivity, operational efficiency, security/compliance, and digital transformation, with 50 million+ users and Fortune 100 trust, and treats AI as a core productivity multiplier across the team. The culture emphasizes high performance, continuous knowledge exchange, and valuing every voice, with opportunities to co-create the future and work alongside industry leaders. The role is Intermediate Backend Engineer, responsible for taking features from clarification through delivery and production, collaborating across Product, Frontend, Infrastructure, and Security, and working in a remote, asynchronous environment with mentorship from tenured engineers. Responsibilities include owning and shipping backend features in Ruby/Rails or Go, building production-ready APIs and services, writing tests, reviewing code, operating on-call tasks, and productively leveraging AI with careful validation. The compensation section notes a Poland base salary range of 248,000–372,000 PLN (EU residents), potential incentives for sales roles, plus comprehensive benefits, and GitLab’s commitment to equal opportunity and non-discrimination, including accommodations; the company also supports remote global hiring and provides a recruitment/privacy framework.

GitLab portrays itself as an AI-powered DevSecOps orchestration platform that aims to boost developer productivity, efficiency, security, and digital transformation, trusted by more than 50% of the Fortune 100 and over 50 million users. The company emphasizes AI as a core productivity multiplier and fosters a high-performance, inclusive culture where every voice is valued and careers can accelerate. The Intermediate Backend Engineer - Database Change Management role focuses on building a safe, fast, and predictable database upgrade experience for GitLab.com and self-managed customers, using Ruby on Rails and PostgreSQL. Responsibilities include building and testing the upgrade system, creating testing frameworks for schema changes, implementing safeguards to catch problems before upgrades, reviewing migrations for safety and backward compatibility, documenting procedures, and collaborating with operations, packaging, QA, and distribution teams. Requirements include PostgreSQL experience in large production environments, Rails proficiency, strong system-design reasoning about reliability and backward compatibility, excellent asynchronous communication, a self-directed work style, alignment with GitLab values, and willingness to work across organizational boundaries, with GitLab offering remote work, comprehensive benefits, and an equal-opportunity policy.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security, and digital transformation, with over 50 million users and extensive Fortune 100 adoption. The company treats AI as a core productivity multiplier and expects all team members to incorporate AI into daily work within a remote, autonomous, high-performance culture where every voice matters. The role of Intermediate Backend Engineer involves taking backend features from problem clarification to delivery and production follow-up, partnering with Product, Frontend, Infrastructure, and Security to ensure quality, security, performance, and maintainability. Responsibilities include owning and shipping features in Ruby/Rails, Go, or other modern languages; building production-ready APIs, background jobs, data models, tests, and operating the service; and leveraging AI productively with validation. Required qualifications include strong backend experience and adaptability across languages, feature ownership, good judgment on security/reliability, clear written communication in a remote environment, and AI tooling fluency; the job offers a US salary range of $115,200–$194,400 plus benefits, and GitLab emphasizes equal opportunity hiring and an inclusive culture.

GitLab is an intelligent DevSecOps orchestration platform trusted by more than 50 million users and a majority of the Fortune 100, and it embeds AI as a core productivity multiplier within a high-performance, inclusive culture. The role is a Fullstack Engineer on the Duo Client SDK team, building a true SDK extracted from the GitLab Language Server to be used by editor extensions, Duo Chat on GitLab.com, and external apps, with TypeScript across frontend and backend. You’ll develop secure, well-tested TypeScript features, publish versioned packages, design durable public APIs with semantic versioning and deprecation paths, build isomorphic core packages, and strengthen credential handling and performance for browser and Node.js environments. You should have strong TypeScript experience, Node.js services, experience with monorepos and ESM, Vue 3 or similar frontend experience, API design skills, cross-environment coding, and a security-minded approach; the base US salary range is $115,200–$194,400 with benefits and equity. The role is fully remote within a globally distributed, transparent team; GitLab is an equal opportunity employer with inclusive hiring guidelines and offers flexible PTO, benefits, equity, and career development opportunities.

GitLab is an intelligent orchestration platform for DevSecOps trusted by more than 50 million registered users and over 50% of the Fortune 100, designed to boost developer productivity, security, and digital transformation while integrating AI into daily workflows. The Staff Forward Deployed Engineer (EMEA) role is a field-based product engineer position that partners with strategic customers to drive AI adoption and contribute to GitLab’s product, working across Product, Engineering, SRE, SA, CSA, CSM, Professional Services, and other teams. You’ll contribute production-quality code, diagnose adoption blockers, drive AI adoption patterns for the agentic SDLC with GitLab Duo, and translate field learnings into durable product improvements, reference architectures, and guiding documentation. Ideal candidates have staff-level experience building or operating complex production software, strong Ruby on Rails or Go skills, experience with AI-assisted development and governance, and the ability to coordinate across multiple teams without formal authority; direct GitLab platform experience and familiarity with modern DevSecOps tools are strongly preferred. GitLab supports remote, global employment with comprehensive benefits, equity programs, and a commitment to equal opportunity and inclusion, encouraging applicants from diverse backgrounds even if they don’t meet every listed qualification.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million registered users and trust from over half of the Fortune 100. The Forward Deployed Engineer, AI and Agentic SDLC role closes the gap between customer needs and GitLab’s delivery by working with customers, Product, and Engineering to resolve friction and contribute reusable improvements, including building the GitLab Duo Agent Platform at the frontier of agentic software development. You will design and build agentic systems using models, context, retrieval, state, memory, evaluation, tracing and human oversight; develop context/knowledge systems; work in strategic customer environments; build agent workflows, integrations, evaluation suites, reference architectures, and product capabilities; contribute production-quality changes across the GitLab Duo Agent Platform and broader product; evaluate quality, reliability, latency, cost, token use, safety, governance, and developer experience; diagnose failures and mentor across teams. Candidates should bring staff-level software-engineering experience building and shipping complex production systems; hands-on AI-system design, debugging, and optimization; deep understanding of agentic systems, context/knowledge systems, AI developer tools, inference, or AI-enabled product engineering; strong programming in Python, TypeScript, Go, Rust, or similar languages, and the ability to learn across large polyglot codebases, with excellent communication to customers and stakeholders and a track record of technical leadership. GitLab provides remote roles worldwide, flexible benefits ( PTO, equity, growth funds, parental leave), and a strong equal-opportunity, non-discrimination policy; they welcome applicants with varying levels of experience and encourage applying even if not all qualifications are met, with privacy and location guidelines governing applications.

GitLab presents itself as the intelligent DevSecOps platform that boosts developer productivity, operational efficiency, security and compliance, and accelerates digital transformation, trusted by over 50 million users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier. The Field CTO, Public Sector is an individual-contributor role serving as a trusted technical advisor to public sector customers and prospects, guiding pre-sales strategy and aligning DevSecOps, security, and compliance with business and mission outcomes. Key responsibilities include providing executive-level DevSecOps thought leadership, building relationships with CIOs/CSOs/CTOs and security architects, partnering with marketing on awareness, educating customers on the GitLab platform, and contributing to government standards work and field feedback. Ideal candidates possess demonstrated DevSecOps and compliance expertise in regulated environments, public-sector experience, ability to create independent technical content, knowledge of the SDLC/CI-CD and cloud platforms, strong communication, and experience in pre-sales or solutions architecture; DC metro is preferred and a background check may be required. GitLab supports a remote, collaborative, and values-driven culture, offering benefits such as flexible PTO, equity, growth funds, parental leave, and a commitment to equal opportunity and inclusion.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security and compliance, and digital transformation, with over 50 million registered users and adoption by more than half of the Fortune 100, all while embedding AI as a core productivity multiplier in its culture. The role, Strategic Account Executive for Singapore, owns and grows GitLab’s enterprise relationships in the market, leading the full sales cycle from prospecting to rollout and long-term adoption, and working with channel partners to generate opportunities as part of an all-remote, distributed enterprise sales team. Responsibilities include developing and executing account plans, prospecting large and strategic accounts (notably in financial services), coordinating pre- and post-sales activities with solutions architects and customer success, and maintaining transparent activity, pipeline, and forecast. Ideal candidates will have experience managing complex enterprise sales, ability to grow existing accounts while developing new opportunities, strong consultative selling and collaboration skills, familiarity with software development concepts, and alignment with GitLab’s values. GitLab offers benefits such as flexible PTO, equity, growth and parental leave, and a fully remote, globally distributed team; the company is an equal opportunity employer with location guidelines and accommodations for candidates, and emphasizes privacy in recruitment.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, efficiency, security, and digital transformation, with more than 50 million registered users and more than half of the Fortune 100 trusting GitLab, and it treats AI as a core productivity multiplier in daily work. The Engineering Manager, Git at GitLab, will lead a deeply technical team focused on building, maintaining, and providing expertise on the Git version control system, including upstream Git development, tooling, scalability, new data formats, and ongoing maintenance in an upstream-first environment. Responsibilities include building a culture of technical rigor and ownership, driving long-horizon work across performance and core Git architecture, balancing upstream open source with GitLab priorities, mentoring engineers, and coordinating with downstream teams and stakeholders. Requirements include experience managing engineering teams with direct reports, a management philosophy centered on engineer agency and credibility, ability to guide specialized engineers through ambiguity and long feedback cycles, strong written/remote collaboration skills, and hands-on background in version control or low-level infrastructure (ideally C or Go). GitLab provides remote, worldwide opportunities with benefits such as flexible PTO, equity, parental leave, and growth opportunities, along with an equal-opportunity and accommodation-friendly policy and a recruitment privacy policy.

GitLab is an intelligent orchestration platform for DevSecOps, and this role leads the Switchboard team that owns the Tenant management product for Dedicated environments, enabling self-service and workflow automation for a large-scale Dedicated tenant fleet. Responsibilities include leading the full-stack Switchboard team for GitLab Dedicated’s customer-facing control panel, coordinating with the Product Manager, hiring and developing a high-performing team, and partnering with Tech Leads, Product, and Design on UI/UX and quarterly delivery epics. You will ensure fast, high-quality cross-functional execution across frontend, backend, UX, product, and technical writing, drive improvements in quality, security, and performance, and support customers in managing tenant environments at scale. The ideal candidate has a proven track record building and owning large-scale distributed services, experience delivering services at four-nines (99.99%) SLOs, a history of leveraging AI tooling to boost productivity, and experience leading distributed and remote teams without a dedicated TPM. GitLab offers comprehensive benefits, equity programs, and growth opportunities, and maintains an inclusive, equal-opportunity hiring policy for remote worldwide roles with location-based eligibility; they encourage applicants from diverse backgrounds even if they don’t meet every listed qualification.

GitLab positions itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, efficiency, security/compliance, and digital transformation, with 50M+ users and Fortune 100 trust, and a culture that embeds AI as a core productivity multiplier. The Engineering Manager role leads the Software Supply Chain Security Add-On team, shaping how they build capabilities like Dependency Firewall, Build Provenance, Malicious Package detection, and Artifact Signing for enterprise customers with strict security needs. Key responsibilities include delivering general availability milestones, shaping the team’s operating rhythm, hiring and developing engineers, conducting performance reviews, monitoring quality metrics, coordinating quarterly planning, and aligning with Finance on headcount. Requirements include 3+ years guiding backend product engineering in security/DevOps, the ability to hire across distributed teams, architectural credibility in areas like package registries/CI/CD security and signing infrastructure, experience delivering multi-quarter roadmaps, and familiarity with supply chain security concepts such as SLSA and Sigstore, with strong async communication skills. The SSCS Add-On team operates asynchronously within GitLab’s Software Supply Chain Security stage; GitLab offers benefits and equal opportunity policies, encourages applicants who may not meet every requirement to apply, and provides location and privacy guidelines for the recruitment process.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security and compliance, and digital transformation, with over 50 million registered users and trust from more than half of the Fortune 100. The company emphasizes AI as a core productivity multiplier and promotes a high-performance, inclusive culture where every voice is valued and AI is integrated into daily workflows. The Manager, Engineering, Nonlinear Productivity (Friction Elimination & Solutions) role involves surveying GitLab’s software development lifecycle to identify friction, prototyping durable fixes, evaluating build/buy/adapt options with cost and risk in mind, and driving internal adoption toward productization in partnership with product. Candidates should have a track record of shipping developer productivity fixes, comfort with ambiguity, people management experience, technical depth to prototype solutions, and familiarity with AI-assisted tooling, with a path to Senior Manager. GitLab offers remote, worldwide roles with comprehensive benefits, equity plans, and a strict equal-opportunity policy that emphasizes merit-based, inclusive hiring practices.

GitLab is an AI-powered, remote-friendly DevSecOps platform trusted by over 50 million users and many Fortune 100 companies, with a culture that emphasizes innovation and collaboration. The role of Manager, Engineering, Git & Gitaly Operations leads the team responsible for the Git infrastructure layer—Git, Gitaly, and related services—across Self-Managed, GitLab Dedicated, and SaaS. Responsibilities include owning production reliability for Git/Gitaly, driving incident management and postmortems, designing cross-model service models, maintaining cloud-agnostic tooling, and shaping elastic storage and compute strategies for Git repositories. Qualifications cover deep Git internals expertise, strong distributed systems fundamentals, experience running production infrastructure across deployment models, and people-management experience; experience with Gitaly, libgit2, or JGit is advantageous, as is cloud-agnostic ops experience. The team emphasizes deep technical work, cross-team collaboration, remote global opportunities, comprehensive benefits, and an inclusive hiring policy that encourages applicants from diverse backgrounds even if they don’t meet every qualification.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million registered users and over half of the Fortune 100 trusting it to ship better, more secure software faster. The company emphasizes AI as a core productivity multiplier and expects all employees to integrate AI into their daily workflows to drive efficiency, innovation, and impact, within a high-performance, inclusive culture where every voice is valued. The role is for a technical engineering manager who will lead a team building and operating large-scale distributed systems, combining deep technical depth with strong operational instincts to ensure quality and speed while enabling secure, scalable self-service production for feature implementers, including maintaining 3+9s availability for dedicated infrastructure. Responsibilities include providing clear direction and feedback, ruthlessly automating toil, recruiting and developing top talent, modeling incident management best practices, and using a data-driven approach to prioritize work and manage risk and technical debt, with proven experience owning services at four-nines SLOs and leveraging AI tooling to boost team productivity. The Enterprise Platform team’s Dedicated unit focuses on single-tenant SaaS with full data isolation and optional AWS region residency, while GitLab offers flexible benefits, remote worldwide hiring with location considerations, and a strong commitment to equal opportunity and accommodations under privacy and non-discrimination policies.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by more than 50 million users and over 50% of the Fortune 100. The company embeds AI as a core productivity multiplier and expects all team members to incorporate AI into daily workflows to drive efficiency, innovation, and impact, reflecting a culture where careers accelerate and every voice is valued. The role is a technical engineering manager to lead the Dedicated Platform Integration team, responsible for integrating third-party and modular features into the GitLab ecosystem for the Dedicated platform hosted SaaS. Key responsibilities include enabling effective execution with the product manager, ensuring high availability and security, eliminating toil through automation, promoting self-service production ownership, modeling incident management best practices, and using data and AI to prioritize work and quantify risk. Candidates should have a proven track record building large-scale distributed services with 99.9%+ availability, experience using AI tooling to boost team productivity, and experience leading distributed or remote teams; GitLab welcomes applicants with varying levels of experience, supports remote roles, outlines location guidelines, and emphasizes equal opportunity and privacy policies.

GitLab describes itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, efficiency, and security, with AI embedded as a core productivity multiplier across the team. The Engineering Manager role sits in Data Foundations, leading the Data Insights Platform and classic search to build a scalable data platform that ingests, processes, stores, and queries data across GitLab’s deployments, handling hundreds of millions of events per day. You’ll hire and develop a high-performing team, own the roadmap, and guide architecture for distributed data-path components while ensuring security, observability, capacity, and AI-driven self-service reporting. Requirements include extensive experience leading platform or data systems at scale, deep distributed-systems expertise, backend/platform engineering skills, and ability to collaborate across multiple deployment models and cross-functional teams. The posting also notes the US salary range, benefits, remote-work considerations, and GitLab’s commitment to equal opportunity and non-discrimination.

GitLab is an intelligent DevSecOps orchestration platform used by 50M+ registered users and many Fortune 100 companies to boost developer productivity, security, and digital transformation, with a culture that treats AI as a core productivity multiplier. The Lead the Build team within GitLab Delivery owns the strategy, execution, and operational excellence of the build systems that turn source code into secure, verified, distributable artifacts for Self-Managed and other delivery targets. Responsibilities include roadmapping the build platform (UBT, TUBE, Omnibus, CNG), delivering artifacts (packages, container images, cloud marketplace images), enabling a build-once, deploy-everywhere model, centralized dependency management, supply chain security, self-service onboarding with templates and docs, and observability via dashboards and metrics. You should have a proven track record building large-scale distributed services with four-nines (99.99%) SLOs, experience leveraging AI tooling to boost productivity, and a history of leading high-performing, distributed/remote teams; GitLab encourages applicants with varying levels of experience. GitLab offers comprehensive benefits, equity, growth funds, parental leave, remote-global hiring with location considerations, and a strong commitment to equal opportunity, non-discrimination, accessibility, and privacy, inviting applicants to apply even if they don’t meet every qualification.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security and compliance, and digital transformation, trusted by more than 50 million registered users and over 50% of the Fortune 100, with AI as a core productivity multiplier in daily workflows. As Engineering Manager for the Agent Execution group, you'll lead more than 10 engineers who build foundations for AI agents to run safely and effectively across GitLab, providing clarity, removing obstacles, and helping teams move quickly while protecting what matters. You’ll lead the Agent Tools, Agent Observability, and Runner Execution teams across frontend, backend, and AI engineering, grow the group, partner with product and UX to turn ambiguous problems into shipped milestones, and contribute to technical design for running agents safely at scale while establishing practical AI tool standards. What you’ll bring includes experience managing distributed engineering teams, fluency with modern AI coding tools and agent harnesses, ability to apply AI to software engineering workflows, a track record of delivering results in fast-paced environments, and a commitment to coaching in an inclusive environment; experience with sandboxing, container isolation, infrastructure security, observability, or languages like Python, Ruby, Go, or TypeScript is helpful. The role sits within a three-continent team building the GitLab Duo Agent Platform, with a US base salary range of $152,800–$172,800, remote-ready work, and benefits including flexible PTO, equity, parental leave, and growth opportunities; GitLab is an equal opportunity employer and provides recruitment privacy and location-based eligibility information.

GitLab is described as an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, security, and digital transformation, trusted by 50M+ users and a large portion of the Fortune 100, with AI treated as a core productivity multiplier. The Scale Ecosystem Sales Manager - AMER role aims to grow GitLab’s Scale business by turning the partner ecosystem into a scalable source of new customers, focusing on partner-sourced pipeline, repeatable campaigns, account mapping, and whitespace analysis with partners like AWS and Google Cloud. Responsibilities include driving partner-sourced Scale pipeline, integrating partners into territory planning and demand generation, executing partner-led campaigns, enabling partners, and providing weekly forecasts and campaign performance insights. Requirements include B2B sales or partner-driven pipeline experience, familiarity with partner ecosystems (distributors, longtail partners, hyperscalers), ability to design scalable demand-gen campaigns and event-driven programs, experience with Salesforce and marketing automation, strong analytics and communication skills, travel willingness, and an interest in GitLab and open source. GitLab emphasizes global remote hiring with location-based eligibility, offers benefits such as flexible PTO, equity, parental leave, growth funds, and an inclusive equal-opportunity policy with a Recruitment Privacy Policy.

GitLab positions itself as the intelligent DevSecOps orchestration platform that boosts developer productivity, security, and digital transformation, with AI embedded in daily workflows and a customer base that includes Fortune 100 companies. The role is Director of Support Engineering for GitLab’s Bengaluru Center of Support, a remote-friendly, India-based hub, reporting to the Vice President of Support Engineering and tasked with building the org design, headcount growth, and operating standards across Asia-Pacific, Europe, the Middle East, Africa, and the Americas. Responsibilities include designing the Bengaluru hub’s structure, establishing management infrastructure and escalation frameworks, overseeing hiring and retention with Talent Acquisition, developing managers and engineers, and driving SLAs, customer satisfaction, ticket quality, resolution metrics, and global KPI reporting. The role also guides the hub’s use of GitLab’s AI toolchain, collaborates on tooling and automation with Support Operations and Strategy, and coordinates with Product, Engineering, and regional leaders on strategy and roadmaps. GitLab emphasizes an inclusive, high-performance culture with flexible benefits, equity, growth opportunities, and equal opportunity employment, while encouraging applicants from diverse backgrounds and noting location eligibility and privacy considerations.

GitLab positions itself as an intelligent orchestration platform for DevSecOps used by more than 50 million registered users and trusted by over half of the Fortune 100, with AI embedded as a core productivity multiplier. The Director, Strategic Partnerships will own GitLab’s relationships with AWS and Google Cloud, shaping strategy from the top and executing the day-to-day partnership, including commercial terms, spend management, and renewal negotiations. They will lead technical integrations, co-develop joint go-to-market plans, align GitLab’s product and AI roadmap to partner initiatives, and coordinate cross-functional teams to deliver measurable outcomes. The role requires substantial experience in strategic or vendor partnerships in enterprise software/cloud/AI, direct experience with hyperscaler agreements, hands-on ownership, strong communication and program management, and technical fluency, with US Eastern/Central availability preferred. GitLab offers a remote-friendly environment with a US salary range of $168,000–$285,600, comprehensive benefits, equity, and an affirmative, merit-based equal opportunity policy.

GitLab is described as the intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with more than 50 million users and Fortune 100 trust, plus AI treated as a core productivity multiplier. The role of Director, Social Media, involves leading GitLab’s global social media strategy, shaping the company’s voice across channels, and owning the outcomes of the social function—strategy, budget, tooling, team development, and results—while serving as the senior-most voice on social strategy with executive stakeholders. Responsibilities include owning organic social strategy and YouTube end-to-end, coordinating with Growth Marketing on paid social, developing audience-focused campaigns, guiding content planning, managing the budget and agency relationships, building social programs with creator, influencer, and employee advocacy, and applying AI tools to social workflows. Requirements call for 10+ years in social media with at least 5 years leading global brand strategy at senior manager level or above, deep YouTube expertise, experience with LinkedIn and X, paid social, and the ability to lead across regions in a distributed, asynchronous environment with strong editorial judgment and measurement skills. The position sits within GitLab’s Marketing team, offering a United States salary range of $139,200–$235,200 plus benefits like flexible PTO, equity, parental leave, and inclusive hiring practices, with remote work and location-based eligibility considerations and accommodations for applicants with disabilities.

GitLab is an AI-enabled DevSecOps platform that increases developer productivity, efficiency, security, and digital transformation, trusted by millions and Fortune 100 companies, with a culture that embraces AI and values every voice. The Director of Recruiting, Engineering and Information Technology will lead GitLab’s India-based recruiting for Engineering and IT, shape regional talent strategy across Asia-Pacific, and own senior and executive searches, reporting to the VP of Talent Acquisition. You will build and manage a multi-layer recruiting organization, support 100–200+ requisitions, coach managers, and drive sourcing strategies for hard-to-fill AI/ML, security, infrastructure, and emerging tech roles while advising leaders on organization design and compensation. The role requires experience in high-growth tech recruiting, leading distributed teams, deep Engineering/IT recruiting expertise, knowledge of India/APAC markets, and a data-driven approach using ATS and sourcing tools; diverse backgrounds are welcome and Greenhouse experience is helpful. GitLab offers remote-friendly benefits, a commitment to diversity and equal opportunity, recruitment privacy, and location-based guidelines; they encourage applicants to apply even if not all criteria are met and will assist with accommodations and questions about location.

GitLab positions itself as an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, and security while accelerating digital transformation, with AI embedded as a core productivity multiplier across the team. As Director, Product Management: Agentic Software Delivery, you will own the strategy and three-year vision for CI, artifact management, continuous deployment, and observability, lead senior and principal product managers, and drive adoption, retention, and revenue as automation becomes more capable of making decisions. You will establish frameworks and operating rhythms, own section KPIs and adoption funnels, evaluate major bets and build/buy/partner decisions, and partner with Engineering and go-to-market functions to deliver a cohesive customer experience across build, package, deploy, and monitor. Qualifications include experience leading PMs and owning multi-product portfolios, technical fluency with pipelines and observability, pricing and packaging experience, executive communication, and practical use of AI in product management; applicants from diverse backgrounds are welcome. The role is part of an all-remote GitLab team, with a US salary range of $203,200–$345,600 plus comprehensive benefits and equity, and GitLab emphasizes equal opportunity, privacy, and inclusive hiring practices.

GitLab is an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, and security while accelerating digital transformation, with over 50 million users and broad Fortune 100 trust, and AI woven as a core productivity multiplier. The role described is Director of Engineering, Security Factory, who will lead the engineering organization responsible for GitLab’s customer-facing security capabilities across the AI-powered DevSecOps platform, overseeing nine teams that work on proprietary scanners, AI-driven detection engines, agentic remediation flows, and security foundations. Responsibilities include setting the engineering vision and multi-quarter roadmap for scanners, AI workflows, research, vulnerability management, and security foundations; driving architecture for AI/ML detection engines and remediation flows; partnering with product management; owning delivery; and upholding engineering standards and observability, while representing the Security Factory in cross-functional planning and disclosures. Candidates should have experience leading distributed engineering organizations, strong knowledge of application security fundamentals, experience building detection or scanning systems in SaaS/DevSecOps, and direct experience shipping customer-facing AI/ML features tied to detection or remediation quality, plus collaborative, async-first communication skills. The Security Factory team encompasses nine groups focused on detection quality, scalable security workflows, vulnerability management, and software supply chain security, with global, remote hiring and comprehensive benefits, underpinned by GitLab’s equal opportunity and accommodation policies.

GitLab is an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, and security/compliance while accelerating digital transformation, trusted by more than 50 million users and over half of the Fortune 100, with AI embedded as a core productivity multiplier. The Director, Engineering, Platform Operations & Productivity role oversees three connected functions—Git & Gitaly Operations, Nonlinear Productivity (Friction Elimination), and Platform Staff—and requires hands-on technical depth along with people leadership to deliver predictable outcomes through clear metrics, operating rhythms, and direct technical judgment. Responsibilities include owning Git & Gitaly Operations to maintain reliability across Self-Managed, GitLab Dedicated, and SaaS; owning Nonlinear Productivity with measurable metric movement; building Platform Staff as a small, senior, AI-assisted team, deciding when to bootstrap new work, handle urgent customer requests or crises, and representing these functions to peers and customers. Qualifications include hands-on experience designing and shipping distributed systems, a track record in high-scale engineering operations and incident management, experience with AI-assisted development tools, multi-manager leadership, and the ability to context-switch across infrastructure, developer productivity, and crisis response while keeping high-leverage teams intentionally small. The role is part of three connected teams focused on platform reliability, productivity, and responsiveness, with GitLab offering flexible benefits, remote global opportunities with location-based considerations, and a strong equal opportunity policy that welcomes applicants even if they don’t meet every listed requirement, along with recruitment privacy practices.

GitLab positions itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security, and digital transformation, with AI embedded in daily workflows and a strong, inclusive remote culture. It is hiring a Director of Customer Success for the EMEA region to lead the integrated CSMA and CSE organizations, owning the regional customer-success operating model across relationship management, adoption architecture, enablement, health, and outcome realization, from implementation through renewal. The role requires setting regional strategy, capacity and engagement models, building scalable adoption programs, ensuring measurable success plans, and driving adoption and value realization for strategic use cases such as GitLab Duo and the Duo Agent Platform. Requirements include significant leadership in enterprise SaaS customer success, a track record of improving adoption, retention, and expansion, the ability to lead both relationship and technical teams, and experience with Gainsight and Salesforce in a global, all-remote environment. GitLab offers flexible benefits, equity, growth opportunities, and an equal-opportunity policy, with remote-first hiring worldwide and location-based eligibility, welcoming applicants from diverse backgrounds.

GitLab presents itself as an intelligent DevSecOps orchestration platform used by over 50 million users and trusted by a significant portion of the Fortune 100, with AI embedded as a core productivity multiplier and a high-performance, inclusive culture. As a Customer Success Manager, you’ll help customers realize the full value of GitLab by driving adoption, measurable outcomes, and long-term advocacy, acting as a trusted advisor on Git, branching strategies, and the software development lifecycle. You’ll build trusted relationships, guide deployment best practices, lead workshops and Centers of Excellence, monitor progress against KPIs, translate usage data into actionable recommendations, and maintain regular executive-level touchpoints. Qualifications include post-sales customer-facing experience, knowledge of Git and version control workflows, understanding of the software development lifecycle, CI/CD, and DevSecOps, and the ability to communicate insights to technical and executive stakeholders while collaborating with Product Management, Engineering, Sales, and Professional Services. The role is remote with a US base salary range of $85,200–$144,000 plus potential sales incentives, along with benefits, equity, and growth opportunities, and GitLab emphasizes equal opportunity and accommodations for applicants regardless of location or experience.

GitLab positions itself as an intelligent DevSecOps platform that boosts developer productivity, efficiency, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with a culture that embraces AI and values every voice. The role of Customer Success Engineer (On-Demand Success Tier) is a pooled, post-sales technical advisory position that collaborates with CSMs, Account Executives, and Renewals Managers to support implementation and adoption of GitLab workflows across source code management, CI/CD, DevSecOps, and Agile Planning. Responsibilities include engaging with customers via Zoom and email, delivering webinars, hands-on labs, office hours, and on-demand content, creating reusable enablement materials, and contributing to customer-facing resources and learning content. Requirements include fluency in English and Spanish (Portuguese a strong plus), location in the US, Mexico, or Brazil, experience with GitLab use cases and DevSecOps tooling, a technical background, and a proven ability as a trusted advisor in a post-sales context, with a continuous learning mindset. GitLab supports a globally distributed, remote workforce with location-based guidelines and offers benefits such as flexible PTO, ERGs, equity, a Growth and Development Fund, parental leave, and a US salary range of $105,600–$158,400, with further details by region.

GitLab is an AI-enabled orchestration platform for DevSecOps that helps 50+ million registered users and many Fortune 100 companies ship better, more secure software faster. The company’s culture is high-performance and value-driven, embedding AI in daily workflows to boost efficiency, innovation, and impact, while empowering careers and fostering inclusive collaboration. The Customer Success Architect (CSA) role is a key part of the customer success team, focusing on hands-on technical enablement, adoption, and maturity, serving as a trusted advisor and liaison among customers and GitLab’s ecosystem (Product Management, Engineering, Sales, Services). You’ll build and manage Customer Success Plans, drive adoption and retention, onboard new customers, handle escalations, and stay current on GitLab releases; required skills include Git, SDLC, CI/CD/DevSecOps, strong communication, project management, travel ability, and fluent German. GitLab offers remote, worldwide roles, flexible benefits, equity, growth funds, parental leave, and is an equal opportunity employer with comprehensive anti-discrimination policies and accommodation options; they encourage applicants from underrepresented groups.

GitLab is the intelligent orchestration platform for DevSecOps, helping organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with over 50 million users and Fortune 100 customers trusting GitLab. The company embeds AI as a core productivity multiplier and maintains a high-performance, inclusive culture where every voice is valued. The Customer Success Architect role, reporting to a Senior Manager in North America, serves as an architectural strategic advisor to GitLab’s largest customers, translating pre-sales plans into long-term success plans and guiding adoption across the customer journey. Key responsibilities include leading Accelerator programs, driving adoption and retention, building and tracking Customer Success Plans with KPIs, and coordinating across Support, Product Management, Sales, and Professional Services while delivering structured technical enablement. Requirements include practical Git, CI/CD, and DevSecOps experience; enterprise-facing advisory and workshop delivery skills; strong communication and project management abilities; alignment with GitLab’s values; and openness to remote, globally distributed work with comprehensive benefits and an inclusive EEO policy.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, efficiency, security, and digital transformation, trusted by over 50 million users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier. The Commercial Account Executive for Southern Cone will be the primary contact for SMB and mid-market customers in Argentina, Chile, Uruguay, Paraguay, and Bolivia, working remotely (based in Mexico) to help them modernize how they plan, build, secure, and ship software using GitLab’s AI-powered platform. You will own a broad book, drive new business and expansion from prospecting to close and renewal, articulate GitLab’s value, maintain a healthy pipeline using MEDDPICC and Command of the Message, and collaborate with Sales Development, Customer Success, Renewals, Marketing, Partners, and technical teams to ensure adoption and reduce churn. Requirements include fluency in Spanish, SaaS sales experience with technical and business stakeholders, experience managing SMB/mid-market territories, strong relationship-building, outbound prospecting, clear communication, willingness to travel, and an openness to diverse backgrounds. The role sits within GitLab’s Sales organization and emphasizes a distributed, collaborative approach with shared playbooks and a range of benefits, equal opportunity employment, and accessibility accommodations, with location-based eligibility and privacy policies noted.

GitLab is an AI-powered DevSecOps orchestration platform that helps organizations increase developer productivity, improve efficiency, reduce security risk, and accelerate digital transformation, with over 50 million users and Fortune 100 adoption, while fostering a high-performance, inclusive culture that values AI-driven work. The role is Commercial Account Executive for Northern Cone, 100% remote and based in the US or Mexico, focusing on small to mid-market customers in Andean, Central America, and the Caribbean with up to 1,999 team members to modernize how they plan, build, secure, and ship software using GitLab’s AI-powered platform. You’ll own a broad book from prospecting to close and renewal, build a healthy pipeline using MEDDPICC and Command of the Message, articulate GitLab’s value, and collaborate with Sales Development, Customer Success, Renewals, Marketing, Partners, and technical teams to drive adoption and reduce churn. Required: fluency in Spanish and SaaS sales experience through value-based conversations with technical and business stakeholders, ability to manage SMB/mid-market territory, strong relationship-building and outbound prospecting skills, clear communication, and willingness to travel, with openness to transferable backgrounds. The team is part of GitLab’s broader Sales organization, operating remotely with global hiring guidelines, offering comprehensive benefits, equal opportunity employment, and a commitment to non-discrimination and accommodations, along with a recruitment privacy policy.

GitLab positions itself as an AI-powered DevSecOps platform trusted by 50M+ users and many Fortune 100 companies, with a culture that embraces AI, collaboration, and continuous knowledge exchange. The Commercial Account Executive - Mid-Market will be the primary contact for mid-market customers (250–1,999 employees) in East or Central US time zones, guiding them from prospecting through adoption and expansion of GitLab’s AI-powered platform. You’ll build and maintain a healthy pipeline using MEDDPICC and Command of the Message, run complex sales cycles, collaborate with cross-functional teams, document buying criteria and stakeholders, and forecast to support revenue goals while reducing churn. Requirements include selling SaaS with a broad mid-market book, strong relationship-building and negotiation skills, outbound prospecting, clear communication, travel willingness, and an interest in GitLab, open source, and DevSecOps; you’ll join a distributed, remote-first sales team. GitLab offers a remote-global workplace with a US base salary range of $68,800–$114,600, incentive pay up to 100% of base, benefits, equity, growth opportunities, and a strong equal-opportunity policy, with location eligibility and privacy considerations noted.

GitLab positions itself as an AI-powered DevSecOps orchestration platform that aims to boost developer productivity, operational efficiency, security, and digital transformation, underpinned by a high-performance, inclusive culture. The Commercial Account Executive - Mid-Market role (must be located in Canada) will be the primary contact for mid-market customers (250–1,999 employees), helping them modernize planning, building, securing, and shipping software with GitLab. Key responsibilities include owning a broad territory, building a healthy pipeline using structured methodologies (MEDDPICC and Command of the Message), coordinating with cross-functional teams, enabling adoption, reducing churn, forecasting, and feeding insights to product and playbooks. Qualifications emphasize SaaS sales experience with value-based selling, strong relationship and negotiation skills, outbound prospecting, teamwork across sales development, renewals, marketing, and technical teams, and willingness to travel. GitLab emphasizes its remote, global team, generous benefits, equal opportunity and anti-discrimination policies, and invites candidates from diverse backgrounds to apply even if they do not meet every listed qualification.

GitLab presents itself as an intelligent orchestration platform for DevSecOps, designed to boost developer productivity, efficiency, security, and digital transformation, trusted by over 50 million users and Fortune 100 companies. The role is Commercial Account Executive for mid-market customers (up to 4,000 team members) to adopt and expand GitLab’s AI-powered DevSecOps platform, reporting to an Area Sales Manager. You will own a broad Enterprise book, manage the full sales cycle from discovery to close, articulate GitLab’s value to align with customer outcomes, maintain an evidence-based pipeline, and share root-cause learnings with teams. Requirements include proven software sales success in enterprise contexts, ability to guide buyers through buying criteria and processes, strong negotiation and communication skills, German fluency, willingness to travel, and alignment with GitLab’s values, with a emphasis on welcoming applicants who may not meet every qualification. You’ll join a distributed Commercial & Enterprise Sales team, working remotely with global colleagues, while GitLab offers benefits such as PTO, equity, parental leave, growth funds, and a strong commitment to equal opportunity and accommodation.

GitLab is an AI-powered intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security and compliance, and digital transformation, with AI embedded in daily workflows and a culture that values every voice. The company cites more than 50 million registered users and Fortune 100 trust, and notes this is a contract opportunity for candidates based in the EST timezone. The role, Candidate Experience Specialist, will shape candidates’ experience from first touch through offer, partnering with recruiters, hiring managers, and People Operations to coordinate interviews and maintain accurate hiring data in ATS and GitLab repositories, while acting as a brand ambassador. Qualifications include experience supporting end-to-end hiring in fast-paced or high-volume environments, ATS proficiency (Greenhouse beneficial), Google Workspace skills, strong written and verbal communication, organization, time management, confidentiality, and comfort working across time zones in a fully remote setting. The Candidate Experience team works asynchronously in a global all-remote organization; GitLab offers benefits, emphasizes equal opportunity and non-discrimination, notes location-based eligibility for some roles, and encourages applications even if not all requirements are met, with privacy policies in place.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security and compliance, and digital transformation, trusted by millions of users and many Fortune 100 companies. The role is a contract opportunity for a Candidate Experience Specialist based in EMEA, responsible for shaping candidate experience from first touch through offer and handoff to People Operations, partnering with recruiters, hiring managers, and leadership, and acting as a brand ambassador. Responsibilities include coordinating hiring plans, maintaining accurate ATS and GitLab data, scheduling interviews, ensuring timely and thoughtful candidate communications, managing candidate traffic and pipelines, creating employment contracts for offers, and enabling seamless onboarding handoffs. Requirements include experience supporting end-to-end hiring in fast-paced environments, ATS proficiency (Greenhouse beneficial), Google Workspace and scheduling tools, strong written and verbal communications, organizational skills, ability to work across time zones, and alignment with GitLab’s values in an all-remote, asynchronous environment. The text also notes GitLab’s all-remote, global team, equal opportunity and affirmative action employment, location-based eligibility for some roles, privacy considerations, and an invitation to apply even if not all qualifications are met.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security, and digital transformation, with over 50 million users and trust from many Fortune 100 companies, all while embracing AI as a core productivity multiplier. The role is a remote, Australia-based Business Development Representative (BDR) on the Go To Market team, responsible for leading initial outreach to targeted Enterprise and Mid-Market accounts, generating qualified meetings and pipeline, collaborating with Field and Digital Marketing, and using tools like Outreach.io and Salesforce; duties include inbound/outbound prospecting, discovery calls, attending events, mentoring new BDRs, and contributing to onboarding to learn GitLab knowledge. Requirements include professional English (additional Asian languages are a plus), strong phone, listening, and writing skills, a self-starter mentality, knowledge of business processes, and experience developing Enterprise/Mid-Market business in Australia, plus proficiency with Salesforce and prospecting tools and a demonstrated interest in GitLab/DevOps; prior tech industry experience and outbound prospecting are advantageous. The role sits within GitLab's growing Sales team, offering extensive onboarding and training, remote collaboration with Account Executives, Field, and Digital Marketing, and a clear path to progression to Account Executive, with asynchronous collaboration across AUNZ and shared playbooks. GitLab also highlights benefits such as Flexible PTO, equity and the Employee Stock Purchase Plan, Growth and Development Fund, parental leave, and other wellbeing supports, plus worldwide remote hiring with some location-based eligibility; the company is an equal opportunity employer with strong non-discrimination policies and accommodations for disabilities, and encourages applicants from underrepresented groups.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, improve operational efficiency, reduce security risk, and accelerate digital transformation, trusted by more than 50 million users and over half of the Fortune 100, with AI embedded as a core productivity multiplier. The company emphasizes a forward-looking talent pipeline and invites outstanding professionals to connect even before an urgent need arises to help build the AI-powered DevSecOps platform of the future. The role is a 100% remote Business Development Representative based in the United States and/or Canada, responsible for outbound prospecting to generate qualified meetings and pipeline in collaboration with Field and Digital Marketing, Sales, and Customer Success teams. Responsibilities include conducting high-level discovery, qualifying opportunities, meeting SAO targets, researching target accounts, executing a multi-touch outreach cadence, managing activities in Salesforce, attending regional events, and mentoring new BDR hires. Requirements include strong communication and organizational skills, proficiency with Salesforce, Sales Navigator, and Outreach, English fluency, and prior tech or BDR experience is a plus; compensation features a US base salary of $59,000–$84,000 plus incentive pay up to 100%, plus benefits, equity, and a comprehensive equal-opportunity policy with location-based eligibility.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with over 50 million registered users and trust from many Fortune 100 companies. The company embeds AI as a core productivity multiplier and expects all team members to incorporate AI into their daily workflows, fostering a high-performance culture where careers accelerate and every voice is valued. As a Backend Engineer on the GitLab Agent Observability team, you’ll help define how AI agents interact with the full software delivery lifecycle and contribute to architectural patterns for AI integration across GitLab. You’ll develop, ship, and maintain features for Agent Observability and Interactions in the monolith backend and the AI gateway, design and review GraphQL and REST APIs, improve automated testing, and participate in on-call rotations to strengthen observability and resiliency. The Agent Observability team is a new unit within the Agent Execution group, initially consisting of three engineers across AMER and EMEA timezones, and GitLab emphasizes remote, worldwide hiring with comprehensive benefits and a strong commitment to equal opportunity.

GitLab is an intelligent orchestration platform for DevSecOps trusted by over 50 million users and more than half of the Fortune 100, and it embeds AI as a core productivity multiplier within a high-performance, values-driven, fully remote culture where every voice is valued. As a Backend Engineer on the Chat Engine team, you’ll build the engine behind GitLab Duo Chat, mainly in Python, developing the agentic runtime (Flow Registry, LangGraph flows, Duo Workflow Service) and integrating Chat with the GitLab Rails monolith. You’ll develop secure, well-tested features, implement and extend agentic flows, ensure integration with the Rails GraphQL API, write maintainable code with tests, review contributions, tackle technical debt, collaborate with product, UX, and frontend teams, and participate in on-call rotations. Required qualifications include production Python experience, Ruby on Rails proficiency or willingness to learn, interest in large language models and prompting, API design and performance optimization, secure coding, clear communication, independent work, and experience with LangGraph/LangChain, GraphQL, RSpec, and remote teams. The role sits in GitLab’s AI Engineering organization’s Chat Engine team; the US base salary range is $115,200–$194,400, with benefits and equity options, and GitLab is an equal opportunity employer that provides accommodations and supports global, remote hiring.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security and compliance, and accelerate digital transformation, trusted by over 50 million users and more than half of the Fortune 100; AI is a core productivity multiplier across the company. The culture emphasizes a high-performance environment, continuous knowledge exchange, and valuing every voice, with a mission to co-create the future of software development. The Associate Renewals Manager role aims to maximize customer retention and minimize churn by driving renewals to retain or expand ARR, evaluating license usage, preparing renewal quotes, providing renewal administration, and ensuring timely closings through collaboration with Sales and Customer Success. Requirements include experience in related B2B software sales or customer experience, familiarity with subscription GTM and renewals, strong communication and negotiation skills, and preferably experience with DevOps or software development. GitLab offers flexible benefits, remote-first global hiring with location-based eligibility, and a strong commitment to equal opportunity and accommodation, along with privacy considerations and accessibility policies.

GitLab positions itself as an intelligent DevSecOps platform that boosts developer productivity, operational efficiency, and security, trusted by millions and Fortune 100 companies. The AI Transformation Owner role is to shape their function’s AI strategy, identify where AI can transform operations, and drive measurable outcomes by managing the full lifecycle—from workflow mapping to adoption—fusing prototyping with no-code/low-code solutions alongside an Enterprise AI Engineer. Responsibilities span Strategy & Prioritization, Adoption & Change Management, and Hands-On Building & Agent Operations, including owning an AI agent fleet, defining success metrics, building a Champion network, and ensuring AI initiatives are adopted rather than merely automated. The candidate should have deep domain knowledge, strategic prioritization and product-management instincts, strong communication and cross-functional collaboration skills, experience building peer networks, and hands-on ability with AI tools, no-code/low-code platforms, prompt engineering, and data-flow mapping, working closely with Enterprise AI. The role is remote with a US base salary range of $203,200–$345,600 plus benefits and equity, and GitLab emphasizes equal opportunity hiring, recruitment privacy, and inclusive practices.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, security, and digital transformation, with over 50 million users and Fortune 100 trust, and a culture that treats AI as a core productivity multiplier. The AI Transformation Owner is a hands-on role in the Enablement & AI function of the CRO organization, responsible for translating AI capabilities into enablement roadmaps, field use cases, and governance, and for partnering with product and engineering to pilot, scale, and embed AI into daily workflows. Key responsibilities include owning the AI enablement roadmap, identifying high-value field use cases (e.g., deal support, prospecting, content generation, guided selling), building field champions, driving an operations transformation plan, and leading AI governance. Qualifications call for several years in enablement or GTM, direct experience evaluating or deploying AI tools, cross-functional fluency with product and engineering, autonomy, strong program management, an innovative mindset, and alignment with GitLab’s remote, transparent culture. The role is remote with global hiring, offering benefits like flexible PTO, equity, growth funds, parental leave, and home office support, with a US base salary range of $139,200–$235,200 and potential incentives up to 100% for sales roles.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and more than 50% of the Fortune 100, with AI treated as a core productivity multiplier embedded in its culture. The AI Engineer role, reporting to the Director of Enterprise AI, will own internal AI-powered solutions end-to-end, starting with diagnosing business problems, mapping workflows, identifying constraints, and validating whether AI is the right intervention, with initial work focused on Sales, Marketing, and Customer Support. Responsibilities include delivering working prototypes quickly, improving organizational flow, measuring success with flow and business metrics, integrating AI into existing systems via APIs and platforms like the GitLab Duo Agent Platform, and acting as Customer Zero to showcase AI offerings. Required qualifications include being a technologist at heart with strong coding skills, deep AI/LLM expertise (prompt engineering, model selection, agentic architectures), safety and risk awareness, systems thinking, enterprise data/workflow understanding, and end-to-end ownership with a product mindset; preferred items include GitLab experience, consulting or customer-facing roles, value stream mapping experience, and startup or high-growth background. The role sits within the Enterprise Technology & AI team in a fully remote, asynchronous environment with benefits such as flexible PTO, equity, and parental leave, and GitLab’s commitment to equal opportunity and non-discrimination.

Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals focused on helping customers perform risk assessments to trust Atlassian Cloud products and to earn and maintain customer trust at scale. As Senior Manager, you will lead an AMER-based team, collaborate with Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and drive improvements to trust and security practices, processes, and customer engagement, including acting as the primary contact for strategic & enterprise escalations and supporting executive briefings. You will contribute to strategic planning, shape an enterprise strategy aligned with Atlassian’s Trust objectives, drive tooling and process improvements, and support legal in negotiating security and compliance terms for customer agreements. Requirements include 10+ years in management roles across Security/Governance/Risk/Compliance, proven leadership and cross-functional influence, experience scaling trust programs, use of AI tools to improve efficiency, familiarity with AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience with Regulatory Compliance, Global Privacy, and Large-scale Cloud solutions.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity; the Trust Engagement team is a globally distributed group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products. The Senior Manager, Trust Engagement will drive the growth and expansion of how Atlassian earns and maintains customer trust, overseeing the team's interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support. They will focus on enhancing Trust & Security practices, improving internal processes, influencing product features, and strengthening customer engagement, while enabling customers' trust by meeting diverse expectations regarding Atlassian Cloud products. Responsibilities include providing leadership for an AMER-based team, contributing to strategic planning with senior leadership, driving scalable processes and tooling, partnering cross-functionally, serving as the primary contact for strategic and enterprise customer escalations, and supporting executive briefings and security/compliance negotiations for customer agreements. The role requires 10+ years in security/governance/risk/compliance management, experience mentoring high-performing teams, ability to influence cross-functional teams, experience scaling trust programs, familiarity with AI tools and AI security/compliance considerations, knowledge of certifications (FedRAMP, ISO 27001, PCI-DSS), and experience in Regulatory Compliance, Global Privacy Programs, Cloud Security, and large-scale enterprise cloud solutions.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where the company has a legal entity. - The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers conduct risk assessments to trust Atlassian Cloud products and to continually improve the Trust Program. - As Senior Manager, you will lead an AMER-based team, drive growth of customer trust, oversee cross-functional interactions with Trust & Security, GTM/Sales, Compliance, Privacy, Legal, and Customer Support, and influence internal processes and product features to strengthen customer engagement. - You will serve as the primary contact for strategic and enterprise customer escalations, support executive briefings, and work with Legal to negotiate security and compliance terms while driving process improvements and post-incident reviews. - The role requires 10+ years in management across Security, Governance, Risk, and Compliance; experience scaling trust programs; strong cross-functional influence; familiarity with AI tools and AI security considerations; and knowledge of certifications (e.g., FedRAMP, ISO 27001, PCI-DSS) plus experience with large-scale enterprise cloud solutions.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The role is Senior Manager in the globally distributed Trust Engagement team, a group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products. You will lead an AMER-based team and partner with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support to improve processes, tooling, and customer engagement, and serve as the primary contact for strategic and enterprise escalations and executive briefings. You will contribute to strategic planning for the Trust Engagement function and support legal in negotiating security and compliance terms for Atlassian Customer Agreements. The candidate should have 10+ years of management experience in Security, Governance, Risk, and Compliance (GRC), a track record of scaling trust programs across large organizations, experience with AI tools and AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience in regulatory compliance, global privacy programs, and cloud security for large-scale enterprise solutions.

Atlassian supports flexible work locations and hires globally wherever it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals helping customers perform risk assessments to trust Atlassian Cloud products, and the team is growing to strengthen its trust program and narrative. As Senior Manager, you will drive growth and expansion of how the company earns and maintains customer trust, oversee interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and lead a high-performing AMER-based team. You will lead strategic planning, process and tooling improvements, cross-functional partnerships, manage strategic and enterprise escalations, support executive briefings, and assist legal in negotiating security and compliance terms for customer agreements. Requirements include 10+ years in security/governance/risk/compliance, proven leadership and cross-functional influence, experience scaling trust programs, familiarity with AI tools and AI security/privacy considerations, and knowledge of certifications such as FedRAMP, ISO 27001, and PCI-DSS, along with experience in regulatory compliance, global privacy programs, and large-scale enterprise cloud solutions.

- Atlassian offers flexible work options (office, home, or hybrid) and can hire anywhere with a legal entity. - The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers perform risk assessments needed to trust Atlassian and its cloud products. - As Senior Manager, you will lead an AMER-based team, drive growth and expansion of customer trust, and partner with Security, Go-To-Market, Compliance, Privacy, Legal, and Customer Support to improve processes and engagement. - You will act as the primary point of contact for strategic and enterprise escalations, support executive briefings, assist legal in negotiating security and compliance terms for customer agreements, and drive scalable trust programs. - Candidates should have 10+ years in security/GRC management, demonstrated leadership and cross-functional influence, experience scaling trust programs, familiarity with AI tools and AI security considerations, and knowledge of certifications like FedRAMP, ISO 27001, PCI-DSS, plus experience with cloud security in large enterprises.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix, and hires people in any country where it has a legal entity. The role is Senior Manager, Trust Engagement, leading a globally distributed team of security and compliance professionals focused on helping customers perform risk assessments to trust Atlassian Cloud products, with collaboration across Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support. You will provide leadership to a high-performing AMER-based team, shape strategic planning for the Trust Engagement function, drive process, tooling, and reporting improvements, and act as the primary contact for Strategic & Enterprise customer escalations. You will support Atlassian Executive Briefings, assist in negotiating security and compliance terms for Customer Agreements, and require 10+ years in security/governance/risk/compliance with cross-functional influence and a track record of scalable programs, plus experience using AI tools to improve efficiency and familiarity with AI security/compliance considerations and relevant certifications. The role aims to enhance customer trust at scale by improving internal processes and product features to meet current and future customer expectations.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees more control over family, personal goals, and priorities. The company is seeking a Mid-Market Pre-Sales Solutions Engineer who will be a solution expert in the sales cycle, solving enterprise customer problems with Atlassian products and helping close deals. Atlassian serves over 250,000 customers such as NASA, IBM, HubSpot, Samsung, and Coca‑Cola, focusing on value selling and transforming outcomes through the power of its software, while maintaining a culture of teamwork where employees work with Atlassian, not for Atlassian. In this role you will partner with direct sales, partners, and larger account teams to understand the customer’s profile and problems, map them to Atlassian products, identify cross-product opportunities, and lead value-based demonstrations. You will also build strong partnerships with account executives, gather product feedback and competitive intelligence, and continuously learn to advance pre-sales, product, and platform knowledge.

At Atlassian, employees can work in an office, from home, or in a hybrid arrangement, and the company hires people in any country where it has a legal entity. They are seeking a Mid-Market Pre-Sales Solutions Engineer who is passionate about becoming a solution expert in the sales cycle to solve enterprise customer problems and help close deals. Atlassian highlights its 250,000+ customers, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and emphasizes value selling by showing how its products combine to transform business outcomes. Responsibilities include partnering with sales teams and partners, conducting customer discovery, identifying cross-product opportunities, acting as a product expert in pre-sales, delivering value-based demos, guiding technical needs, and providing feedback to product management. The culture centers on the motto “play as a team,” with mutual support and knowledge sharing, and there is high earnings potential tied to enterprise opportunities in cloud and AI.

Atlassian allows employees to choose their work location, including office, home, or a hybrid arrangement. This policy gives Atlassians greater control over supporting their family, personal goals, and other priorities. The company states it can hire people in any country where it has a legal entity. The text includes a placeholder indicating where a job description should be added. Overall, the focus is on flexible work options and global hiring within existing legal entities.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder in the text for a job description: [[INSERT JOB DESCRIPTION HERE]]. The overall message emphasizes flexibility and broad global hiring capabilities.

Atlassians can choose where they work—office, home, or a mix of the two. This flexibility gives them more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a job description. Overall, the message emphasizes flexible work arrangements and a global hiring capability.

Atlassians can choose to work in an office, from home, or in a hybrid arrangement. This flexibility allows employees to better support their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder indicating that a job description will be inserted. Overall, the passage highlights flexible work locations and global hiring capabilities.

- Atlassian allows employees to choose their workplace, including office, home, or a mix. - This flexibility gives Atlassians greater control over supporting their family, personal goals, and other priorities. - The company can hire people in any country where it has a legal entity. - The text includes a placeholder indicating where a job description will be inserted. - Overall, the message emphasizes flexible work options and global hiring with room for role-specific details.

Atlassian offers flexible work locations—office, home, or a combination. This setup gives employees more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder indicating where a job description will be inserted. Overall, the message emphasizes employee choice and global hiring capability.

At Atlassian, work arrangements are flexible (office, remote, or hybrid), and hires can be made in any country with a legal entity to support employees’ family, personal goals, and priorities. The Search Platform team powers Rovo Search and knowledge discovery across Atlassian and external apps, aiming to provide secure, fast, globally scalable, and cost-efficient enterprise search. The technical lead for Search Serving will set long-term direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems addressing latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation; setting the architecture roadmap for online retrieval, index serving, query processing, and ML inference; and turning advances in IR and ML into production through rigorous evaluation, experimentation, rollout, and incident response. Additional focus covers advancing production inference for embedding, retrieval, and ranking models with techniques like batching, quantization, distillation, and hardware-aware optimization, while leading multi-team initiatives, mentoring engineers, and raising team and platform maturity for best-in-class agentic development.

Atlassians can choose where they work and the company hires in any country where it has a legal entity. The Search Platform team powers Rovo Search and knowledge discovery across enterprise data, making knowledge across Atlassian and external apps searchable securely, quickly, and at scale. As the technical lead for Search Serving, you’ll set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities to improve the experience. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation, and defining the architecture for online retrieval, index serving, query processing, and ML inference. You’ll establish ML production practices, advance production inference with techniques like batching, quantization, distillation, and hardware-aware optimization, and lead cross-team initiatives while mentoring engineers to raise platform maturity and accelerate innovation.

Atlassian offers flexible work options and hires in any country with a legal entity for this role, within the Search Platform team. The team powers Rovo Search and enterprise data search, aiming to make knowledge across Atlassian and external apps securely, quickly, and at scale through an enterprise-grade infrastructure. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply new ML capabilities. Responsibilities include designing high-quality agentic search systems, setting the architecture for online retrieval, index serving, and ML inference, and turning IR and ML advances into production via rigorous evaluation, experimentation, and controlled rollout. The role also demands establishing ML production practices, advancing production inference with techniques like batching and quantization, leading cross-team initiatives, mentoring engineers, and elevating the team's maturity to accelerate innovation.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The Search Platform team powers Rovo Search to enable secure, fast, globally scalable, and cost-efficient knowledge discovery across Atlassian data and third-party apps. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, and capacity; establishing the architecture for online retrieval, index serving, query processing, and ML inference; turning IR and ML advances into production systems with rigorous evaluation and safe rollout practices; and advancing production inference through techniques like batching, quantization, distillation, compilation, and hardware-aware optimization. The role also involves leading cross-team initiatives, mentoring engineers, aligning technical and product leaders around the long-term direction, and elevating the team's maturity to accelerate innovation.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. Atlassian's Rovo Experiences & Growth organization builds customer-facing AI experiences to help people find, understand, and act on their organization's knowledge, with teams spanning Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients across web, mobile, desktop, and browser extensions. The organization leads technical strategy and architecture across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, ensuring scalable, reliable, secure, and cohesive experiences, and shapes the convergence of Search and Chat for multi-step interactions and actions. It develops rich, reusable experience foundations, reduces fragmentation, and partners with product, design, data science, ML, and engineering to define and deliver a roadmap of high-impact Rovo experiences, enabling rapid experimentation, contextual activation, personalization, measurement, and continuous improvement. Additional responsibilities include leading complex cross-organizational initiatives, raising quality and operational excellence, standardizing AI development and deployment into scalable, composable approaches, and mentoring senior engineers while fostering inclusive collaboration and continuous learning.

- Atlassians can choose where to work—office, home, or a hybrid—and Atlassian hires people in any country where it has a legal entity. - The Rovo Experiences & Growth organization builds customer-facing AI experiences across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, delivering them on web, mobile, desktop, and browser extensions to help customers use Rovo daily. - The role leads technical strategy and architecture for these products, ensuring scalability, reliability, security, and cohesion, and drives the convergence of Search and Chat with shared patterns for information retrieval, context, multi-step interactions, and action. - It develops reusable experience foundations across Atlassian products and integrates with third-party tools, partners with product, design, data science, ML, and engineering to define a high-impact roadmap, and enables sustainable growth through rapid experimentation, contextual activation, personalization, measurement, and continuous improvement, while leading cross-organizational initiatives. - It raises the bar for quality, performance, trust, and operational excellence, standardizes AI development and deployment toward scalable, composable, repeatable approaches, and mentors senior engineers to promote technical excellence, inclusive collaboration, and continuous learning.

Atlassian supports flexible work locations—office, home, or a mix—and hires in any country with a legal entity to help employees balance family, personal goals, and priorities. The way people find and use knowledge at work is changing: AI agents must understand goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. Atlassian is building an intelligence layer called context-layer across the enterprise ecosystem, with their team working at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. They are solving problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, presenting an opportunity to shape search in the agent era. The role involves building systems for AI agents to discover information, reason over enterprise knowledge, and choose capabilities, across areas such as Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with considerations of permissions, freshness, latency, trust, heterogeneous data, and multi-tenant systems.

1) Atlassians can work anywhere—office, home, or a blend—and the company hires in any country with a legal entity, giving teams more control over family, personal goals, and priorities. 2) As the way people find and use knowledge at work changes, AI agents must understand user goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. 3) Atlassian is building an intelligence layer, the context-layer, to enable this across the enterprise and broader ecosystem, at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. 4) The team tackles problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, and invites those excited about defining search in the agent era. 5) You’ll work on building systems that let AI agents discover information, reason over enterprise knowledge, and choose the right capabilities, across areas like Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with concerns about permissions, freshness, latency, trust, data heterogeneity, and multi-tenancy.

Atlassian is hiring a Senior Machine Learning Engineer for the Search & Intelligence organization to build intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines powering AI products and innovation across the company. The role leads development and productionization of advanced ML systems to improve how people discover, understand, and act on knowledge, spanning the full ML lifecycle from problem definition to deployment and ongoing optimization, and Atlassian supports flexible work arrangements (office, home, or a combination) with hires in any country where we have a legal entity. You will work with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, and designing robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experiments and evaluations. You will collaborate with product, engineering, data science, analytics, and platform teams to integrate AI capabilities into Atlassian products, translate research into reliable production systems, identify opportunities to improve model performance and developer experience, and communicate trade-offs and results clearly to technical and non-technical audiences while helping foster a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer in the Search & Intelligence group to build intelligent experiences, models, and data pipelines that power AI products and accelerate innovation. You can work anywhere—office, home, or a mix—and Atlassian hires in any country where it has a legal entity. The role involves leading end-to-end ML projects from problem definition and data exploration through development, deployment, and ongoing optimization, in collaboration with product managers, engineers, and data scientists. Responsibilities include designing production-ready ML algorithms and architectures for information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experimentation and evaluation to translate research into reliable systems. You will mentor engineers, shape technical strategy, promote experimentation and inclusive collaboration, and communicate decisions and results clearly to both technical and non-technical audiences.

Atlassian is looking for a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, home, or a hybrid—and the company can hire in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced ML systems that improve how people discover, understand, and act on knowledge across Atlassian, spanning the full ML lifecycle from problem definition and data exploration to model development, experimentation, evaluation, deployment, and optimization, partnering with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions. You will design and implement state-of-the-art ML algorithms for production, own ML projects end-to-end, and design robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across areas such as information retrieval, search ranking, personalization, NLP, deep learning, and large language model applications. You will design and execute rigorous experiments and evaluations, collaborate with cross-functional teams to integrate AI capabilities into Atlassian products, translate research into reliable production-quality systems, identify opportunities to improve model performance and customer outcomes, communicate decisions and results clearly to technical and non-technical audiences, and mentor others while contributing to technical strategy and a culture of experimentation and iterative delivery.

Atlassian is seeking a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, remote, or a hybrid—and the company can hire people in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced machine learning systems that improve how people discover, understand, and act on knowledge across Atlassian, working across the full ML lifecycle from problem definition and data exploration to model development, experimentation, deployment, and ongoing optimization. You will partner with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing and implementing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, designing robust architectures for quality, latency, scale, privacy, and cost, and conducting rigorous experiments and evaluations, while communicating findings to technical and non-technical audiences and fostering a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for Atlassian’s AI products. The company offers flexible work options and hires in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with an emphasis on making evaluation a first-class part of AI development. Responsibilities include designing evaluation-driven development processes, building evaluation datasets and benchmarks, conducting offline and online evaluations, human assessments, model-based evaluations, error analysis, and mentoring other engineers while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. The work requires designing scalable architectures that meet quality, reliability, latency, privacy, and cost requirements, applying modern techniques in information retrieval, ranking, embeddings, NLP, deep learning, and large language models, and communicating technical decisions and results clearly to both technical and non-technical audiences while contributing to ML and engineering best practices.

Atlassian seeks a Senior ML Engineer for its Search & Intelligence org to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering Atlassian’s AI products. Employees can work from office, home, or hybrid, and the company hires in any country with a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement, with an emphasis on evaluation-driven development. Responsibilities include building evaluation datasets, benchmarks, regression suites, offline/online evaluations, error analysis, and designing scalable architectures for quality, latency, privacy, and cost, while collaborating with cross-functional teams and mentoring others. You should apply modern techniques in information retrieval, NLP, deep learning, and large language models, communicate decisions clearly across audiences, and contribute to engineering and ML best practices.

Atlassian is seeking a Senior Machine Learning Engineer for its Search & Intelligence group to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering its AI products. Atlassian offers flexible work options and hires in any country where it has a legal entity. In this role you will develop and productionize ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects across the entire ML lifecycle from problem definition to deployment and continuous improvement. A key part of the role is making evaluation a first-class part of AI development, including defining quality, building evaluation datasets and benchmarks, analyzing model behavior, and guiding product and engineering decisions, while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. You will design scalable architectures, apply modern techniques in information retrieval, embeddings, NLP, deep learning, and large language models; conduct offline and online evaluations, build datasets and pipelines, communicate technical decisions clearly, mentor engineers, and contribute to engineering and ML best practices.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for AI products. Employees can work in-office, from home, or a hybrid, and Atlassian can hire in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with a emphasis on evaluation as a first-class part of AI development. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, independently solve complex problems, contribute to technical direction, and mentor other engineers. Responsibilities include building AI systems, designing evaluation-driven processes, creating evaluation datasets and benchmarks, conducting offline and online evaluations, building scalable architectures, applying techniques from information retrieval, NLP, deep learning, and LLMs, and communicating decisions while mentoring on best practices.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for the Growth organization to help create personalized experiences that guide customers through the lifecycle. The Growth team spans product, engineering, data science, analytics, and operations and focuses on experimentation, personalization, and intelligent orchestration to improve discovery and adoption across the funnel. The ML Engineer will design, build, and operate systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including data foundations, features, models, evaluation frameworks, and decisioning, moving cross-flow ranking toward a unified, value-aware orchestration system. Requirements include a degree plus 5+ years in ML, strong Python and knowledge of Java/Typescript, SQL, Spark, cloud data environments, experience deploying large-scale models, building datasets and evals, and the ability to communicate ML concepts to diverse audiences while emphasizing practicality and iterative improvement. Nice-to-haves include experience in consumer/B2B SaaS, growth-focused ML applications, and familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, as well as collaboration with product, analytics, marketing, and sales teams.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the customer lifecycle. The role involves turning behavioral and product signals into scalable ML systems that support the growth funnel and enable more relevant customer and sales experiences. You will design, build, and operate ML systems for personalized recommendations, activation journeys, cross‑product expansion, and sales experiences, while striving for durable business value. Requirements include 5+ years in ML, a Bachelor’s or Master’s degree (preferably CS), strong Python (plus Java/Typescript), SQL, Spark, cloud data environments, and experience delivering large-scale ML in business applications, with the ability to communicate ML concepts to diverse audiences and a pragmatic, iterative mindset. Nice-to-have: experience in consumer or B2B SaaS contexts, familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, and collaboration with product/analytics/marketing/sales to build personalized journeys.

1. Atlassian offers flexible work options, allowing employees to work in-office, from home, or a hybrid, to balance responsibilities and family. 2. Atlassian is hiring a Machine Learning Engineer for the Growth organization to build intelligent, personalized experiences that help customers discover value and progress through the lifecycle. 3. The role involves designing, building, and operating ML systems, developing models and decisioning services for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, and transitioning from fragmented heuristics to a unified orchestration system based on context, conversion probability, and lifetime value. 4. Requirements include a bachelor’s or master’s in CS or equivalent, 5+ years in ML, proficiency in Python (and Java/TypeScript), SQL, Spark, and cloud environments (AWS, Databricks), and strong ability to communicate ML concepts and collaborate across teams; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference is a plus. 5. Bonus experience includes working in consumer SaaS or enterprise B2B, applying ML to growth and personalization, and understanding engagement, activation, conversion, expansion, and retention metrics to balance short-term and long-term outcomes.

Atlassian offers flexible work locations (office, home, or hybrid) to balance business responsibilities with family needs. They’re hiring a Machine Learning Engineer for Growth, a unit that builds intelligent, personalized experiences to guide customers through the lifecycle from awareness to retention. The role involves designing, building, and operating ML systems for personalized recommendations, activation journeys, cross-product expansion, and sales experiences, plus developing data foundations, features, evaluation frameworks, and decisioning toward a unified, value-aware orchestration system. You’ll partner with product, engineering, data science, analytics, marketing, and sales to translate opportunities into measurable experiments and production capabilities, including offline/online evaluation, monitoring, and ensuring durable customer and portfolio value. Requirements include 5+ years of ML experience, a CS degree preferred, proficiency in Python (plus Java/Typescript), SQL, Spark, and cloud environments (AWS/Databricks), experience scaling models, building datasets/evals, strong communication, agile mindset, ability to solve ambiguities, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; optional experience in SaaS/B2B contexts and understanding engagement/activation/conversion/expansion/retention metrics.

Atlassian offers flexible work options—office, home, or hybrid—and is hiring a Machine Learning Engineer to join Growth to build intelligent, personalized experiences that help customers discover value, adopt Atlassian, and progress through the lifecycle. The Growth team brings together product, engineering, data science, analytics, and product operations to optimize the full funnel—from acquisition and onboarding to activation, expansion, and retention—through experimentation, personalization, and intelligent orchestration. You will design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including creating data foundations, features, models, evaluation frameworks, and decisioning systems for cross-product rankings and personalized journeys. You will define the ML strategy to support Atlassian’s short-, mid-, and long-term goals and partner with product, engineering, data science, analytics, marketing, and sales to translate opportunities into measurable experiments and production capabilities, while monitoring attribution, latency, quality, and fairness. Requirements include a Bachelor’s or Master’s in CS (or equivalent), 5+ years of ML experience, proficiency in Python (and Java/Typescript), SQL, Spark, cloud data environments (AWS, Databricks), experience building scalable models and datasets/evaluations, strong communication skills, an agile, iterative mindset, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; plus optional experience in SaaS/B2B or consumer growth contexts.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for its Growth organization, which builds intelligent, personalized experiences to guide customers from awareness to expansion and retention. The role will turn behavioral and product signals into scalable ML systems that power the growth funnel, enabling more relevant customer and sales experiences across surfaces like navigation, screen-space flags, and the app-switcher. You will join a cross-functional Growth team spanning product, engineering, data science, analytics, and product operations to develop ML capabilities, data foundations, features, models, evaluation frameworks, and decisioning systems for cross-product recommendations and personalized journeys. Responsibilities include designing, building, and operating ML systems for personalized recommendations and activation journeys, defining strategy for ML capabilities, and partnering with product, analytics, marketing, and sales to run experiments and production capabilities while monitoring attribution, latency, quality, and fairness. Requirements include 5+ years in ML, a CS-related degree, strong Python (plus Java/Typescript), SQL, Spark, cloud experience, experience scaling ML in business applications, ability to communicate ML concepts, and familiarity with contextual bandits, uplift modeling, recommender systems, and causal inference; bonus if you have SaaS/B2B or growth-focused experience.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder in the text for inserting a job description. Overall, the message emphasizes adaptable work arrangements and international hiring capabilities.

Atlassian lets employees decide where they work—office, home, or a mix. This choice gives them greater control over work-life balance, family, and personal goals. Atlassian can hire people in any country where it has a legal entity. [[INSERT JOB DESCRIPTION HERE]] is a placeholder indicating where a specific job description will be inserted. Overall, the text emphasizes flexible work arrangements and a global hiring scope.

Atlassians can choose where they work, whether in an office, from home, or a combination of the two. This flexibility gives them more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for a job description: [[INSERT JOB DESCRIPTION HERE]]. Overall, the message emphasizes flexible work options and broad global hiring.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians greater control over supporting family needs, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder indicating a job description will be inserted. Overall, the message emphasizes flexible work options and broad international hiring capability.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility helps Atlassians better support their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder indicating that a job description should be inserted. Overall, the text emphasizes flexible work arrangements and global hiring capabilities.

Atlassians can choose where they work—office, home, or a mix. This flexibility gives employees more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a job description. Overall, it emphasizes flexible work arrangements and global hiring options at Atlassian.

- Atlassian offers flexible work options and hires globally where it has a legal entity. - Atlassian’s Trusted Data Platform (TDP) provides secure, scalable data storage used by product and platform teams, meeting enterprise needs such as data residency, encryption, regulatory compliance, backup and recovery, and multi-cloud operations. - TDP SQL is Atlassian’s managed relational database platform, giving engineering teams a supported way to build applications on relational databases without managing infrastructure, availability, security, scaling, or other enterprise controls themselves. - The Senior Engineering Manager for TDP SQL will lead the team, owning its people, strategy, execution, and operational outcomes, and will partner with senior engineers, product and program leaders, infrastructure, security, and product teams to evolve TDP SQL into a dependable, easy-to-adopt internal platform. - Responsibilities include building an inclusive, high-performing team; defining strategy and roadmaps; surfacing delivery risks and dependencies; improving platform adoption and reliability; managing cost posture; and leading cross-functional collaboration across product, security, reliability, and infrastructure to ensure trusted, compliant, and cost-efficient platform delivery.

Atlassian offers flexible work locations and hires globally, with the Trusted Data Platform (TDP) providing secure, scalable data storage including data residency, encryption, compliance, backup, and multi-cloud operation; TDP SQL is the managed relational database platform. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for people, strategy, execution, and operational outcomes, partnering with senior engineers, product, infrastructure, security, and product organizations to evolve TDP SQL as a dependable internal platform. Responsibilities include building an inclusive, high-performing team, establishing operating practices, managing capacity across strategic investments, commitments, and technical debt, and translating enterprise requirements into a clear, measurable roadmap. The role requires owning the platform’s reliability and trust—availability, durability, performance, security, compliance, recoverability, incident response, and disaster recovery—ensuring data residency and regulated environments with clear visibility into customer commitments. It also entails technical and cross-functional leadership across architectural direction for multi-cloud, balancing delivery with platform simplification, establishing contracts with infrastructure and customer teams, representing TDP SQL in reviews, and owning cost posture and investment decisions for customer trust and sustainable cost efficiency.

Atlassian supports flexible work arrangements and hires in any country where it has a legal entity, while the Trusted Data Platform (TDP) provides secure, scalable data storage for product and platform teams with requirements like data residency, encryption, compliance, and multi-cloud operation. TDP SQL is Atlassian’s managed relational database platform that lets engineering teams build applications on relational databases without managing underlying infrastructure, security, or scaling. Atlassian is looking for a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product, security, and infrastructure teams to evolve TDP SQL into a dependable internal platform. The role emphasizes building an inclusive, high-performing team, establishing operating practices, managing capacity across strategic investments and technical debt, and delivering a clear, executable roadmap. Additional focus areas include defining the TDP SQL strategy, ensuring reliability and compliance, guiding multi-cloud architectural direction, fostering cross-functional partnerships, and owning the platform’s cost posture to balance customer trust with sustainable cost efficiency.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity. Their Trusted Data Platform provides secure, scalable data storage for product and platform teams, addressing data residency, encryption, regulatory compliance, backup/recovery, and multi-cloud operations. TDP SQL is Atlassian’s managed relational database platform, enabling teams to build applications without managing underlying infrastructure, availability, security, scaling, or enterprise controls. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to collaborate with senior engineers, product, security, and infrastructure teams to evolve TDP SQL into a dependable internal platform. Key responsibilities include building an inclusive, high-performing team; defining strategy and roadmap; ensuring reliability, security, and compliance; driving platform adoption; guiding architecture and cross-functional collaboration; and managing cost and capacity.

Atlassian supports flexible work arrangements and global hiring, and its Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage with data residency, encryption, regulatory compliance, backup/recovery, and multi-cloud operation; TDP SQL is Atlassian’s managed relational database platform built on TDP. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for the team’s people, strategy, execution, and operational outcomes, partnering with senior engineers, product and program leaders, infrastructure teams, security specialists, and Atlassian product organizations to evolve TDP SQL as a dependable, easy-to-adopt internal platform. Responsibilities include leading and developing managers and engineers, building an inclusive, high-performing team through hiring, onboarding, talent development, and succession planning, delegating meaningful ownership, establishing operating practices, and managing capacity across strategic investments, customer commitments, operational work, and technical debt. The role requires defining and executing the TDP SQL strategy and roadmap in alignment with Atlassian’s data-platform goals, surfacing delivery risks and dependencies early, increasing platform adoption, and owning the platform’s reliability, security, compliance, and recoverability with service-level objectives and incident response. It also entails cross-functional leadership to establish architectural direction across multi-cloud environments, manage technical and operational contracts with dependent teams, represent TDP SQL in reviews and portfolio planning, and own cost posture and investment decisions that balance customer trust with sustainable cost efficiency.

Atlassian supports flexible, office/home/hybrid work and hires globally where it has legal entities, and operates the Trusted Data Platform (TDP) for secure, scalable data storage across clouds, including data residency, encryption, and compliance, with TDP SQL as the managed relational database layer. The company is seeking a Senior Engineering Manager to lead the TDP SQL team, accountable for people, strategy, execution, and operating outcomes, working with senior engineers, product, infrastructure, security, and other Atlassian teams to make TDP SQL a dependable internal platform. The role emphasizes building an inclusive, high-performing engineering organization, establishing effective operating practices, and balancing strategic investments, customer commitments, and technical debt. Responsibilities include defining and executing the TDP SQL strategy and roadmap, ensuring reliability with SLAs and incident response, and improving adoption by reducing integration complexity while supporting data residency and regulatory needs. Cross-functional leadership covers architectural direction across multiple clouds, managing platform costs and partner relationships, and making investments that prioritize customer trust and sustainable cost efficiency.

Atlassian supports flexible work locations and global hiring, giving employees control over work-life priorities and enabling hiring in any country with a legal entity. Their Trusted Data Platform (TDP) provides secure, scalable data storage, with TDP SQL offering a managed relational database platform for internal use. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to partner with senior engineers and various product, infrastructure, and security teams. The role involves defining the TDP SQL strategy and roadmap, surfacing risks early, increasing platform adoption, and ensuring designs meet scalability, security, data residency, and multi-cloud requirements. Cross-functional leadership also includes managing cost posture, capacity, investments, and ownership of infrastructure efficiency and unit economics while balancing delivery with platform simplification.