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GitLab presents itself as an intelligent, AI-powered DevSecOps platform trusted by over 50 million users and more than half of the Fortune 100, emphasizing a high-performance, inclusive culture where AI is a core productivity multiplier. The Strategic Account Executive for Singapore owns and grows enterprise relationships in the Singapore market, leading the full sales cycle from prospecting to rollout and long-term adoption, using a consultative approach and partnering with strategic channel partners. In the first year, you will establish and execute clear account plans for enterprise prospects and customers, build strong internal and external stakeholder relationships, and maintain a transparent forecast and pipeline. You will lead account strategy, conduct prospecting in named large and strategic accounts (with a focus on financial services), coordinate pre- and post-sales engagement with solutions architects, customer success, and support, and act as the voice of the customer to inform product and process improvements. Ideal candidates have experience selling to large enterprise customers (preferably in financial services), strong consultative selling and pipeline management skills, and alignment with GitLab’s values, and the role is remote with global eligibility, comprehensive benefits, and a commitment to equal opportunity.

GitLab is an intelligent DevSecOps orchestration platform trusted by more than 50 million registered users and over half of the Fortune 100, with AI embedded as a core productivity multiplier in a high-performance, values-driven culture. The Engineering Manager, Gitaly role leads a deeply technical team responsible for Gitaly, GitLab's Git data storage tier, covering development, scalability, tooling, and ongoing maintenance. Responsibilities include managing senior and staff engineers, fostering technical rigor and ownership, driving long-horizon work on performance and architecture, balancing product and infrastructure priorities, mentoring engineers, coordinating with Git and other stakeholders, and participating in on-call support when needed. Requirements include prior experience managing engineering teams with direct reports, the ability to guide through ambiguity and high-stakes technical tradeoffs, strong written and asynchronous communication across distributed teams, and a hands-on background in low-level infrastructure (ideally in Go or similar). The team emphasizes collaboration and knowledge exchange; GitLab offers benefits such as health, finances, PTO, equity, parental leave, and growth opportunities, supports remote worldwide hiring with location guidelines, and GitLab is an equal opportunity employer with a comprehensive non-discrimination policy.

GitLab is the 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 more than half of the Fortune 100, with AI integrated as a core productivity multiplier across the team. The company emphasizes a high-performance culture driven by values and continuous knowledge exchange, where innovation flourishes and every voice is valued. Summary: Lead the Switchboard team which owns the Tenant management product for GitLab Dedicated environments, enabling self-service and workflow automation for a large-scale Dedicated tenant fleet. Responsibilities include leading the full-stack Switchboard team, coordinating with the Product Manager, hiring and developing a high-performing team, partnering with Product and Design on the customer-facing control panel, owning quarterly delivery planning, ensuring fast cross-functional execution and quality, and providing on-call support as needed. The ideal candidate has a proven track record building large-scale distributed services and fleet management with Terraform, Kubernetes, and AWS, maintaining 99.99% SLOs, plus experience with AI tooling, leading distributed/remote teams, and a commitment to inclusion; GitLab offers remote worldwide roles with benefits such as flexible PTO, equity, parental leave, and accommodations, and is an equal opportunity employer.

GitLab is an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, and security, accelerating digital transformation, and is trusted by over 50 million users and many Fortune 100 companies, with AI embedded in daily workflows. The company emphasizes a high-performance, values-driven culture that fosters innovation, knowledge exchange, and inclusive collaboration, enabling teams to reach their potential while solving complex problems. They are hiring a technical engineering manager to lead the Dedicated Platform Integration team, responsible for integrating third-party and modular features for the Dedicated platform hosted SaaS, with emphasis on availability, security, scalability, automation, and self-service production ownership. Required qualifications include building and owning large-scale distributed services, fleet management with Terraform and AWS across 20+ clusters, delivering 99.99% uptime, using AI tooling to boost productivity, and leading distributed teams without relying on a dedicated TPM. GitLab offers remote worldwide roles with benefits, equity and stock plans, a Growth and Development Fund, parental leave, and a strong commitment to equal opportunity and accommodations, along with privacy and location guidelines for applicants.

GitLab is the intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, and security, trusted by 50M+ users and over half of the Fortune 100, with AI as a core productivity multiplier and a culture of high performance and inclusive collaboration. The role, Engineering Manager for Architecture Engineering: Async, leads a distributed team of Site Reliability Engineers and Backend Engineers to balance production reliability with platform projects such as zero-downtime Redis upgrades, single-tenant and cell-based deployments, and migrating from queue-based orchestration to a durable workflow engine. Key responsibilities include hiring and growing the team, owning reliability for job processing and caching (SLAs, error budgets, alerts, operational reviews), capacity planning and incident follow-ups, running on-call and serving as incident commander for high-severity events, and driving quarterly planning and roadmap alignment with partner teams. Required experience includes managing an engineering team delivering high-performance SaaS, deep technical expertise in Redis/Sidekiq and related failure modes, reliability work against SLOs with burn-rate alerting, 24/7 on-call rotation, and leading a fully remote, globally distributed team. The Async team runs GitLab.com’s background processing, Redis infrastructure, data durability, and on-call rotations across multiple regions; GitLab offers benefits such as flexible PTO, equity, parental leave, and growth opportunities, and maintains an equal opportunity, inclusive policy with location-based eligibility and privacy considerations.

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 over 50 million registered users and trust from more than half of the Fortune 100, while embedding AI as a core productivity multiplier. The Engineering Manager, Production Engineering - Observability will lead a globally distributed team responsible for the metrics, logging, alerting, and capacity planning platforms used to understand GitLab.com and GitLab Dedicated, shaping how telemetry is collected, stored, queried, and acted on while balancing reliability, scale, and cost. In the first year, the role focuses on improving Prometheus-based metrics pipelines, log ingestion and retention, SLO-driven alerting, and capacity forecasting, working with Site Reliability Engineering, Product Engineering, and other Infrastructure Platforms teams to make observability easier for engineers and to participate in incident response. Requirements include experience leading observability, platform engineering, or SRE teams at scale in distributed environments, knowledge of Prometheus and long-term storage, logging (e.g., Elasticsearch or cloud-native services), SLOs and error budgets, capacity forecasting, and production SaaS incident management, with a preference for familiarity with applying AI tools; GitLab welcomes diverse career paths and encourages applicants even if not meeting every qualification. The team operates within Production Engineering under Infrastructure Platforms, uses Tamland for capacity forecasting, and GitLab promotes remote worldwide roles, offers benefits and growth opportunities, and maintains an equal opportunity and accommodation-friendly recruitment approach.

GitLab is an intelligent DevSecOps platform with 50M+ registered users and trust from over half of the Fortune 100, and it treats AI as a core productivity multiplier in its culture. The Ecosystem Operations Specialist will translate GitLab’s ecosystem go-to-market strategy into reliable day-to-day execution and serve as the primary operational resource and first point of contact for sellers, Ecosystem Sales Managers, partners, and cross-functional teams. Key responsibilities include executing partner workflows (intake, account/opportunity setup, deal registrations, cloud co-sell referrals, validation, routing, and approvals), processing quotes and purchase orders, supporting marketplace and two-tier transactions, monitoring Salesforce data quality, and building dashboards on backlog, pipeline, attribution, and program health. Requirements include experience in partner/sales/operations, enterprise quote-to-cash knowledge, Salesforce and partner-management systems, strong analytics, and hands-on use of generative AI; preferred tools include Impartner, SQL, or Snowflake. The role is with the Ecosystem team, remote in the United States with a base salary range of $86,400–$146,400, plus benefits and equity considerations, and GitLab is an equal opportunity employer that provides accommodation as needed.

GitLab is the intelligent orchestration platform for DevSecOps trusted by over 50 million users and Fortune 100 companies, and it embeds AI as a core productivity multiplier in both its products and culture. The company is hiring a Distinguished Engineer to lead technical direction across Core DevOps—CI, CD, Plan, and source control—high-traffic, long-lived systems central to customers’ delivery pipelines and increasingly AI-native. Responsibilities include setting go-forward architecture, partnering with the VP of Engineering, translating company productivity and AI goals into roadmaps, defining measurable targets, managing systemic risk, guiding migrations, and ensuring designs scale across GitLab.com, Dedicated, and Self-Managed deployments. Requirements include 10+ years of software engineering with 4+ years in Staff/Principal leadership, deep AI/ML expertise and production-scale systems experience, multi-tenant distributed systems knowledge, human-in-the-loop safety practices, mentoring ability, and strong remote communication; US base salary is $250,000–$349,000 plus benefits, with roles remote worldwide and location eligibility considerations. The posting emphasizes equal opportunity, privacy and recruitment policies, and a broad benefits package (equity, PTO, parental leave, ERGs), inviting candidates from underrepresented groups and offering accommodations.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security and compliance, and digital transformation, with AI treated as a core productivity multiplier across the company. The role is Director, Support Engineering for the Bengaluru Center of Support, responsible for building and managing the India-based regional hub as a strategic peer to the Americas and EMEA hubs, and delivering enterprise-grade technical support across APAC, Europe, MEA time zones. Responsibilities include designing the hub’s organizational structure, establishing management rhythms and escalation frameworks, managing hiring and retention with Talent Acquisition, developing managers and engineers, owning performance against SLAs and KPIs, implementing local escalation workflows and AI toolchains, and guiding global strategy with Product, Engineering, and leadership. Requirements include experience leading a technical support or customer-facing function (including a manager-of-managers), scaling a global delivery hub across regions, deep knowledge of enterprise SaaS support and operational metrics, comfort with distributed async/sync work, familiarity with AI-assisted tooling and DevSecOps/kubernetes/cloud-native environments, and proficiency with support platforms (GitLab experience is a plus). The team is globally distributed; GitLab offers remote roles with location-based eligibility, a range of benefits (PTO, ERGs, equity, parental leave), and a commitment to equal opportunity and inclusion, inviting applicants even if not all qualifications are met, with recruitment privacy and country-specific guidelines in place.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, operational efficiency, security/compliance, and digital transformation, trusted by over 50 million users and more than half of the Fortune 100. The company emphasizes AI as a core productivity multiplier and fosters a high-performance, inclusive culture where careers accelerate and every voice is valued. The Director, Social Media will lead GitLab's global social media strategy, owning the function’s strategy, budget, team development, YouTube strategy, and measurement, and will serve as the senior voice on social with executive stakeholders. Responsibilities include driving organic and paid social programs, cross-functional collaboration, social listening and insights, creator/advocate programs including employee advocacy, and applying AI thoughtfully across social workflows. Requirements include 10+ years in social media with global brand leadership, deep YouTube and multi-region experience, proficiency with enterprise social tools, and the ability to work in a distributed, asynchronous environment; the role offers a US salary range of $139,200–$235,200, remote-friendly hiring, and comprehensive benefits, with a strong emphasis on equal opportunity.

GitLab is an AI-enabled DevSecOps platform aimed at boosting developer productivity, efficiency, security, and digital transformation, with a culture that embraces AI and values inclusion. The Director of Recruiting, Engineering and Information Technology role leads GitLab’s India-based recruiting for Engineering and IT and shapes regional talent strategy across Asia-Pacific, reporting to a senior Talent Acquisition leader and supervising recruiting managers while handling executive-level searches. Responsibilities include managing 100–200+ requisitions across India and APAC, building recruiting leadership capability, defining sourcing and market strategies for AI/ML/security roles, advising on organization design and workforce planning, and establishing regional hiring metrics. The ideal candidate has deep experience in high-growth tech recruiting, managing multi-layered teams, sourcing for Engineering and IT at all levels including executives, strong knowledge of India’s talent market, and a data-driven approach using ATS and sourcing tools, with GitLab welcoming diverse backgrounds. GitLab supports remote, globally distributed work, offers extensive benefits and inclusive policies, and is an equal opportunity employer committed to privacy, location-based eligibility, and a harassment-free, merit-based work environment.

GitLab pitches itself as an intelligent DevSecOps orchestration platform trusted by over 50 million users and many Fortune 100 companies, with AI as a core productivity multiplier and a culture that values every voice. The Director of Product, SaaS Platforms, will own the product direction and business outcomes for GitLab.com and GitLab Dedicated, balancing reliability, scalability, monetization, and cost, starting as an individual contributor and working remotely from the US or Canada. Responsibilities include setting the strategy and roadmap for both platforms, improving reliability and operability, defining rate and usage limits and monetization for GitLab.com, scaling Dedicated through automation and self-service, expanding customer self-service, enabling disaster recovery and beta access, and owning the portfolio’s P&L. Requirements include director-level experience leading a multi-product portfolio, technical product experience with cloud/SaaS, the ability to tie product decisions to monetization and gross margin, cross-team influence, and preferably exposure to AI-enabled environments. The package includes a US base salary range of $203,200–$345,600 (base pay; sales roles may receive incentive pay up to 100%), plus benefits such as Flexible PTO, Employee Resource Groups, Equity Compensation & ESPP, Growth and Development Fund, Parental Leave, and a commitment to equal opportunity and accommodation with worldwide remote hiring and location-based eligibility.

GitLab is an intelligent DevSecOps orchestration platform that boosts developer productivity, efficiency, and security, trusted by over 50 million users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier. The Director of Product Management: Agentic Software Delivery will own CI, artifact management, continuous deployment, and observability, lead senior and principal PMs, and be accountable for adoption, retention, and revenue as the industry moves toward agent-driven software delivery. In the first year you’ll align four connected roadmaps into one coherent strategy, determine investment allocation, deepen engineering and go-to-market partnerships, and provide customers with a credible path for scaling software delivery. You’ll define the three-year vision, establish frameworks and operating rhythms, own section KPIs, evaluate major bets, and drive pricing, packaging, go-to-market, migration, and adoption across free, commercial, and enterprise offerings while representing the section to senior leadership and key customers and modeling AI-native product management. Qualifications include experience leading PMs and owning portfolios with accountability for adoption and revenue, technical fluency with pipelines and observability, pricing and packaging expertise, executive communication, practical use of AI in PM workflows, and GitLab’s status as an all-remote, equal-opportunity employer with a US salary range of $203,200–$345,600 plus benefits (location eligibility may vary).

GitLab presents itself as an intelligent DevSecOps orchestration platform trusted by millions and Fortune 100 companies, embedding AI into daily workflows to boost productivity and innovation within a high-performance, inclusive culture. The Director of Dedicated Infrastructure Engineering & Platforms will lead the organization behind GitLab Dedicated, the premium single-tenant SaaS for enterprise and public sector, with goals to scale growth, deliver dedicated infrastructure, compliance certifications, and enterprise-grade SLAs in an isolated environment. You will define the strategy and roadmap for Dedicated, partner with Product and executives to hit growth targets, and lead teams for tenant orchestration, resilience, the Switchboard control plane, public sector platforms and compliance, and enterprise migrations, while enabling self-service tooling and FedRAMP/AWS GovCloud readiness. You should have led enterprise SaaS infrastructure at scale, driven improvements in reliability or cost, and possess deep expertise in cloud-native and cellular architectures, Infrastructure as Code, and modular services, with experience delivering under strict compliance regimes such as FedRAMP and AWS GovCloud, plus the ability to translate financial targets into investments and roadmaps and to lead with ownership and customer outcomes. The Dedicated Infrastructure & Platforms team is organized into five focus areas—Platform Orchestration & Integrations; Core Features, Resilience & Response; Switchboard & Control Plane; Public Sector Platforms & Compliance; and Enterprise Migrations & Import Tooling—with a base US salary range of $212,000–$290,000, remote/global eligibility, comprehensive benefits, and GitLab’s commitment to equal opportunity and inclusive accommodation.

GitLab is an AI-enabled DevSecOps orchestration platform that emphasizes AI-driven productivity, security, and digital transformation, with a culture that values diversity and continuous knowledge sharing. The Director of Engineering, Database Excellence will report to the VP of Data Engineering and own the databases supporting GitLab.com, self-managed GitLab, and GitLab Dedicated, with PostgreSQL as the primary focus alongside Redis, OpenSearch, ClickHouse, and object storage. Responsibilities include setting long-range plans for the database platform, owning capacity and availability for GitLab.com, leading three Engineering Managers and developing staff-plus engineers, driving cross-division technical decisions with Product, Infrastructure, Support, Security, and FinOps, managing hiring, org design, retention, budgets, OKRs/KPIs, and serving as an escalation point with on-call involvement as needed. Requirements cover experience leading managers of managers, hands-on PostgreSQL at scale (capacity planning, upgrades, replication, performance), data-driven decision making, experience with self-managed upgrades and SRE practices, leading remote globally distributed teams, and familiarity with Redis, ClickHouse, OpenSearch, object storage, GCP, Kubernetes, Terraform, Chef, FinOps, and AI-assisted engineering workflows; AI experience is a plus. The Database Excellence team comprises Database Architecture, Database Automation, and Self Managed Database, led by three Engineering Managers and an Operations Manager, with teams across the US, Europe, the Middle East, Africa, and India; the base US salary range is $230,400–$345,600, with benefits and remote-work eligibility, and GitLab emphasizes equal opportunity and accommodations.

GitLab is 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 across the organization. As Director, Financial Planning and Analysis (FP&A) for R&D, you will lead finance for GitLab’s largest operating expense area and serve as the strategic finance partner to the CTO and R&D leadership, owning R&D planning, forecasting, and investment decisions tied to product outcomes. You will advise the CTO and R&D leadership, lead annual planning and rolling forecasts, own the operating plan across headcount, compensation, contractors, hosting and cloud, AI/LLM costs, software and tooling, and build frameworks that connect R&D investment to the product roadmap while defining metrics and reporting risks and opportunities. You will lead the AI transformation of R&D finance, rethink FP&A processes and systems with AI at the center, collaborate with Accounting and Procurement on related processes, and recruit and develop the R&D finance team through asynchronous, handbook-first collaboration across time zones. Required qualifications include extensive finance experience as a partner to R&D/Engineering/Product, strong understanding of cost drivers (including AI usage) and advanced financial modeling using Google Sheets (not Excel); a bachelor’s in Finance/Accounting/Economics; comfort with remote work; and preferred SaaS/CTO partnership experience, with a US base salary range of $168,000–$285,600 plus benefits. GitLab is an equal opportunity employer offering comprehensive benefits and supporting flexible location-based eligibility.

GitLab presents itself as an intelligent DevSecOps platform that boosts developer productivity, operational efficiency, security, and digital transformation, with a culture that treats AI as a core productivity multiplier and values every voice. The Director, Data Science role will lead GitLab’s Product, Sales, and Finance Data Science teams (about 12 people) and partner with the VP of Data & Insights to drive growth and ensure data-informed executive decision-making. Responsibilities include building trusted executive partnerships, prioritizing data science investments, leading cross-functional programs to drive product adoption and consumption growth, coaching managers, setting organization-wide data standards, and aligning with Analytics and Data Engineering on a shared AI roadmap. Requirements encompass 12+ years in data science/analytics (including 6+ years leading teams and 3+ years managing managers) with strong business acumen, executive communication, deep expertise in statistics/causal inference (and SQL/Python/ML), and a clear view of how AI reshapes the field; nice-to-have items include experience with developer tools/DevSecOps and usage-based pricing. The role offers a US base salary range of $209,600–$314,400 plus benefits, is remote-friendly, and GitLab emphasizes equal opportunity and inclusive hiring with growth and development opportunities.

GitLab presents itself as an intelligent orchestration platform for DevSecOps, highlighting AI as a core productivity multiplier and a remote, high-performance culture trusted by over 50 million users and Fortune 100 customers. As Director, Analytics Engineering, you’ll lead an eight-person team reporting to the VP of Data & Insights, setting strategy across data access, semantic modeling, self-service analytics, and enterprise data applications. Your responsibilities include building a trusted semantic model with governed metrics, developing evals and telemetry, creating a model-selection harness, owning BI and self-service tooling, and delivering production-grade data apps that combine trusted data, APIs, and AI. You should have 12+ years in analytics/BI with 5+ years leading teams, deep expertise in data modeling and semantic layers (dbt, Snowflake, LookML, Cube), hands-on experience with LLM-powered data access, and strong data governance and cross-functional leadership; nice-to-have items include LLM routing, BI migrations, web app development, and finance data experience. The role offers a US base salary of $139,200–$285,600 plus benefits, equity, and remote-friendly hiring, and GitLab emphasizes equal opportunity hiring, privacy, and location-based eligibility.

GitLab is an intelligent DevSecOps orchestration platform used by over 50 million users and many Fortune 100 companies, and it emphasizes AI as a core productivity multiplier in its culture. The Demo Architect role aims to help teams and customers engage with the platform quickly by building tools, applications, and infrastructure for demos, workshops, trials, and internal test environments, reporting to the Senior Director of the Solutions Architecture Center of Excellence. Key responsibilities include expanding the Demo Architect Portal for automation and self-service, provisioning and supporting demo infrastructure, collaborating across departments to deliver practical technical solutions, creating workshop assets, advising on sales opportunities, improving presenter experience, and troubleshooting urgent demo issues. Required qualifications include experience building software/tools for technical users, production-grade automation, cross-domain capabilities (application development and infrastructure), observability skills, strong communication with varied stakeholders, a focus on usability and repeatability, ability to work remotely with periodic travel, and exposure to demos/workshops or related technical paths. The team is a small, globally distributed group maintaining shared tooling and infrastructure for internal demos, with remote roles and location-based eligibility, and GitLab offers flexible PTO, equity plans, growth funds, parental leave, and an equal opportunity policy, welcoming applicants who may not meet every listed qualification.

GitLab is an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, and security, accelerating digital transformation and trusted by over 50 million users including Fortune 100 companies, with AI embedded as a core productivity tool. The Data Scientist role on the Enterprise Analytics team partners with Sales, Revenue Operations, and Finance to define GTM performance metrics, forecast outcomes, and support executive-level reporting on consumption, ARR, and first orders. Responsibilities include exploratory data analysis, building and productionizing ML models (propensity, PQL scoring, churn, expansion), running growth experiments, and developing agentic workflows and semantic-layer metrics. Qualifications require 3-5 years in GTM analytics or similar, strong SQL and Python, experience with experimentation and ML methods, and hands-on experience with AI agent workflows, plus a self-motivated, remote-work capable profile. The company lists a US base salary range of $86,400–$176,400 plus benefits, emphasizes remote/global hiring with location eligibility, and commits to equal opportunity and non-discrimination.

GitLab is an intelligent DevSecOps orchestration platform that increases developer productivity, operational efficiency, security and compliance, and accelerates digital transformation, trusted by over 50 million users and a majority of the Fortune 100, with AI embedded as a core productivity multiplier across the team. The company fosters a high-performance, values-driven culture where every voice is valued, collaboration is essential, and careers unfold as innovation flourishes and world-changing software is built together. The role overview: a Customer Success Manager who acts as a trusted advisor to a portfolio of customers, guiding them through GitLab’s capabilities and DevSecOps best practices, and translating product usage data into actionable recommendations for customers and account teams. Responsibilities include building trusted advisor relationships, providing deployment guidance, leading workshops and Centers of Excellence efforts, monitoring progress via KPIs, reviewing strategic objectives with executives, and collaborating with Product Management, Engineering, Sales, and Professional Services to align success plans. The position is remote with a United States salary range of $85,200–$144,000, plus benefits, equity and an Employee Stock Purchase Plan, and GitLab emphasizes equal opportunity hiring and invites candidates from diverse backgrounds, even if they don’t meet every listed qualification.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and the Fortune 100, and it emphasizes AI as a core productivity multiplier within a high-performance, value-driven culture. The role is Customer Success Engineer in GitLab's On-Demand Success Tier—a pooled post-sales technical consultant who works with Customer Success Managers, Account Executives, and Renewals Managers to support implementation across GitLab's key workflows, reporting to the Team Manager. First-year outcomes focus on building trusted advisor relationships, enabling successful customer implementations, and creating reusable workshops and technical content to help customers adopt GitLab at scale. Responsibilities include engaging with customers via Zoom and email to provide product and architectural guidance, delivering enablement through webinars, hands-on labs, office hours, and on-demand engagements, and developing workshops and reusable enablement content in collaboration with cross-functional partners, while contributing to documentation and enablement programs. Requirements include fluency in English and Spanish (Portuguese a strong plus), location in the United States, Mexico, or Brazil, experience with GitLab use cases and DevSecOps tooling, strong communication skills, a technical background, and a continuous learning mindset; the team is globally distributed, salaries base US range $93,600–$158,400 with potential incentives up to 100% of base, and GitLab is an equal opportunity employer with policies supporting diversity and remote hiring.

GitLab is an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security/compliance, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with AI embedded as a core productivity multiplier. The company’s culture is high-performance and values-driven, emphasizing continuous knowledge exchange, innovation, and ensuring every voice is valued as team members leverage AI to drive impact. The role of Customer Success Engineer is a post-sales technical advisor in GitLab’s On-Demand Success Tier, working in a pooled model to support implementation and adoption across workflows and collaborating with Customer Success Managers, Account Executives, and Renewals Managers. Responsibilities include engaging with customers via Zoom and email, delivering technical guidance and enablement, developing workshops and reusable content, aligning with sales on business outcomes, and contributing to learning resources and specialty competencies. The position requires experience with GitLab use cases and DevSecOps tooling, strong communication and advisory skills, the ability to manage multiple engagements, remote-work eligibility, and competitive compensation in the US—base salary $93,600–$158,400 plus benefits—along with GitLab’s commitment to equal opportunity, privacy, and inclusive recruitment.

GitLab is an intelligent DevSecOps platform used by more than 50 million registered users and many Fortune 100 companies, and it emphasizes AI as a core productivity multiplier within a high-performance, inclusive culture. The Customer Success Architect role in APJ/Japan is an individual-contributor post-sales position acting as a trusted strategic and technical advisor to Enterprise and Government customers to drive adoption, maturity, and long-term outcomes; in the first year, success means establishing yourself as the trusted advisor across flagship accounts and materially improving platform maturity. You will turn pre-sales command plans into concrete success plans, guide customers through their journey, influence renewal and expansion discussions with executives, and coordinate cross-functional teams to resolve high-priority issues. Requirements include Japanese citizenship and base in Japan with native/professional English, hands-on end-to-end CI/CD expertise, deep DevSecOps knowledge, and a proven track record across government, finance, manufacturing, and other sectors managing complex enterprise accounts and executive-level business cases. The role sits in the Customer Experience organization, is remote with asynchronous collaboration, offers benefits and growth opportunities, and GitLab is an equal opportunity employer that welcomes applicants from diverse backgrounds while noting location-based eligibility.

GitLab is 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 registered users and many Fortune 100 companies trusting GitLab. The company emphasizes AI as a core productivity multiplier and expects all team members to incorporate AI into their daily workflows. The Customer Success Architect role is a strategic advisor to key customers after the sale, turning pre-sales command plans into concrete success plans, guiding adoption, and coordinating with Product Management, Engineering, Sales, Professional Services, and Support. Responsibilities include building and executing Customer Success Plans with goals and KPIs, owning a book of customers, driving adoption and retention, providing hands-on enablement, managing escalations, and identifying training opportunities in collaboration with internal teams. Requirements include practical Git and CI/CD knowledge, DevSecOps experience, customer-success or post-sales background, strong communication and project-management skills, and alignment with GitLab’s values; the role is remote within a global Customer Success team with comprehensive benefits and a commitment to equal opportunity and accommodations.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security, and digital transformation, with more than 50 million users and Fortune 100 trust, and it positions AI as a core productivity multiplier across the company. The culture emphasizes a high-performance environment, continuous knowledge sharing, and valuing every voice, with a commitment to diversity and inclusion and an emphasis on AI-driven innovation. The Enablement & AI organization supports revenue teams by turning business priorities into scalable programs—collaborating across Sales, Customer Success, Solutions Architecture, Partnerships, Product, Marketing, and Operations to create training, onboarding, content, and accreditations, and ensuring alignment with events and product launches. The role focuses on program managing CX enablement, developing content and training, leveraging tools like Salesforce, Cornerstone, and Gong, and measuring impact, with required experience in SaaS/software sales enablement (preferably in DevOps/Open Source and Gov/regulated sectors) and strong communication and collaboration skills, plus the ability to incorporate AI into daily practice. GitLab offers flexible benefits, remote work with potential location-based eligibility, and a US base salary range of $168,000–$285,600, along with equal opportunity employment and recruitment privacy policies.

GitLab is an AI-enabled DevSecOps platform, and the Corporate Development Director role sits in the Corporate Development & Strategic Partnerships team to influence what GitLab builds, buys, partners with, or declines. You will lead research of the broader market around our AI-powered DevSecOps platform, develop investment theses, and translate findings into concise recommendations for the executive team; when the answer is to acquire, you’ll own the end-to-end deal process through integration, with success measured by strategic clarity rather than deal count. Responsibilities include owning the market view (competitors, hyperscalers, AI labs), building build/buy/partner analyses, defining markets we should not play, and feeding those insights into annual and long-range planning. Deal execution and integration involve validating target fit, developing valuations, leading cross-functional diligence, drafting deal documents, negotiating, and leading post-acquisition integration while building the external network. Requirements include 8+ years in corporate development/strategy with deal experience in enterprise software, strong market research and executive communication skills, technical fluency in software/DevSecOps/AI, and a fully remote, inclusive culture with comprehensive benefits.

GitLab is the intelligent orchestration platform for DevSecOps that aims to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, with AI embedded as a core productivity multiplier. With over 50 million registered users and more than half of the Fortune 100 trusting GitLab, the company emphasizes a high-performance, values-driven culture where every voice is valued. The posting targets a 12-month contract Talent Acquisition Sourcer in APJ, fully remote, responsible for building strong candidate pipelines for the sales team and engaging passive talent. Responsibilities include sourcing and screening passive candidates for sales roles across APJ via LinkedIn and outbound channels, mapping talent markets, informing sourcing strategies, maintaining pipelines, ensuring a strong candidate experience, and keeping data in applicant tracking systems. Qualifications include experience in outbound recruiting for software sales, strong research and communication skills, familiarity with ATS tools such as Greenhouse or LinkedIn Recruiter, comfort with remote work across time zones, and a commitment to GitLab's equal opportunity and inclusive hiring practices.

GitLab is an AI-enabled DevSecOps platform that aims to boost developer productivity, operational efficiency, security, and digital transformation, trusted by over 50 million users and more than half of the Fortune 100. The company emphasizes AI as a core productivity multiplier and cultivates a high-performance, inclusive culture where every voice is valued. The overview describes a Commercial Account Executive role in South Korea, focused on growing commercial adoption and expansion of GitLab’s AI-powered platform and mentoring teammates. Responsibilities include owning a territory of commercial accounts in South Korea, managing the full sales cycle from outbound prospecting to close, driving product adoption, meeting quota, forecasting, and collaborating with cross-functional teams to win new business and minimize churn. Requirements include experience selling complex B2B SaaS, strong CRM/forecasting skills, multi-threaded deal experience, and excellent communication; GitLab supports remote work, offers benefits, and is an equal opportunity employer with location guidelines and privacy disclosures.

GitLab is an intelligent orchestration platform for DevSecOps that aims to increase developer productivity, operational efficiency, and security/compliance, with AI embedded as a core productivity multiplier and a culture of innovation and inclusivity; more than 50 million users and over half of the Fortune 100 rely on GitLab. The role advertised is Commercial Named Account Executive for the US Western region, focusing on top-end mid-market companies (2,500–4,000 employees) and managing a spectrum from small teams to complex enterprise projects. Responsibilities include meeting/exceeding quota, owning the book of business, building pipeline, prospecting, closing new business, ensuring adoption and minimizing churn, collaborating with partners and cross-functional teams, forecasting, and contributing to product feedback and sales-process improvements. Requirements include SaaS sales experience with value-based selling to development teams (devops preferred), strong communication and negotiation skills, willingness to travel, and being located in Central, Mountain, or Pacific Time zones; familiarity with Git and Application Lifecycle Management is a plus. Compensation features include a base US salary range of $91,600–$154,200 (for US residents only), incentive pay up to 100% of base, remote-global eligibility, comprehensive benefits, and an equal-opportunity, inclusive workplace policy.

GitLab is an AI-powered DevSecOps platform used by over 50 million users and more than half of the Fortune 100, built on a high-performance culture that treats AI as a productivity multiplier. The Commercial Account Executive - Mid-Market role is the primary contact for mid-market customers (250–1,999 employees) in the East or Central US time zones, owning a broad book of business and guiding adoption, expansion, and churn reduction. Responsibilities include building and maintaining a healthy pipeline using MEDDPICC and Command of the Message, collaborating with Sales Development, Solutions, Renewals, Partners, and Marketing, documenting buying criteria and next steps, and supporting post-sale adoption and quarterly forecasting. Qualifications include experience selling SaaS with value-based conversations to technical and business stakeholders, end-to-end territory ownership, strong relationship-building and negotiation skills, outbound prospecting, cross-functional collaboration, clear communication, willingness to travel, and an interest in GitLab’s open-source ethos. The role is remote within a distributed Sales team; US base salary ranges from $68,800 to $114,600 with incentive pay up to 100% of base, plus benefits (PTO, ERGs, equity/ESP, parental leave), and GitLab is an equal opportunity employer with location-based guidelines and a recruitment privacy policy.

GitLab is an AI-powered DevSecOps platform used by more than 50 million users and trusted by over half of the Fortune 100, designed to boost developer productivity, security, and digital transformation while embedding AI in daily workflows. The Commercial Account Executive - Mid-Market (Canada) is the primary point of contact for a broad mid-market book, focusing on expansion opportunities, guiding customers through adoption, and using value-based selling and MEDDPICC to meet revenue goals. Responsibilities include building a healthy pipeline through outbound prospecting, articulating GitLab's value to prospects, coordinating with sales, success, renewals, partners, and technical teams, documenting buying criteria and stakeholders, and helping reduce churn. Requirements include SaaS sales experience, ownership of a territory from prospecting to close and expansion, strong relationship-building and negotiation skills, cross-functional collaboration, clear communication, travel as needed, and a passion for GitLab, open source, and software development tools. The role is remote with Canada-based eligibility, part of a global team, and GitLab offers benefits such as flexible PTO, equity, parental leave, growth funds, and a strong commitment to equal opportunity and accommodation in recruitment.

GitLab is an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, security and compliance, and digital transformation. It has over 50 million registered users and more than half of the Fortune 100 trust GitLab, with AI embedded as a core productivity multiplier across its teams. The role of Commercial Account Executive can be based in Sydney, Melbourne, or Brisbane and focuses on the Queensland territory (with opportunities in South Australia) to help commercial customers adopt, implement, and expand GitLab’s AI-powered DevSecOps platform, while mentoring teammates. You’ll own a book of commercial accounts, drive the full sales cycle from outbound prospecting to discovery, negotiation, and close, drive adoption and expansion, meet quota, forecast accurately, and collaborate with partners, Sales Development, Customer Success, Renewals, and Solutions Architects, while sharing knowledge with the team. The team is fully remote and collaborative, offers benefits such as flexible PTO, equity, parental leave, and a Growth and Development Fund, and GitLab is an equal opportunity employer with location-based eligibility and accommodations available in recruitment.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that aims to boost developer productivity, operational efficiency, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with a culture that deeply integrates AI to drive efficiency and innovation. The Cloud Platform Engineer role on the Runway team focuses on designing, building, and maintaining GitLab’s Kubernetes-based infrastructure and developer tooling, advancing GitOps practices and infrastructure as code to support engineering teams. Key responsibilities include operating production Kubernetes clusters across clouds, extending Argo CD-based GitOps workflows, writing Terraform modules, monitoring and incident response, onboarding services, and implementing security, CI/CD integration, and self-service tooling. Requirements include production Kubernetes experience with at least one major cloud provider (AWS, GCP, or Azure), proficiency with Argo CD or Flux, Terraform, scripting (Python, Bash, or Go), Helm, and networking fundamentals, plus strong communication; optional qualifications include multi-cluster or multi-region setups, observability, or relevant certifications. The role offers a US base salary range of $115,000–$194,000 plus benefits, is remote with global hiring considerations, and GitLab emphasizes equal opportunity, merit-based hiring, and inclusivity with privacy protections.

GitLab is an AI-powered, all-remote DevSecOps orchestration platform trusted by more than 50% of the Fortune 100, with a culture that emphasizes AI-driven productivity, career growth, and inclusive collaboration. This is a contract opportunity for a Candidate Experience Specialist based in the EST timezone, who will shape candidate experience from first touch through offer and handoff to People Operations. Responsibilities include partnering with Recruiters and hiring teams to execute hiring plans, coordinating interviews, maintaining accurate ATS and GitLab records, scheduling, ensuring timely and engaging candidate communication, managing candidate flow, creating employment contracts, and acting as a brand ambassador. Required qualifications include end-to-end hiring experience in fast-paced or high-volume environments, ATS experience (Greenhouse preferred), Google Workspace proficiency, strong written and verbal communication, organization and confidentiality, cross-time-zone collaboration, and alignment with GitLab's all-remote culture. The Candidate Experience team supports high-volume, asynchronous hiring across GitLab's global organization, focusing on process refinement and data accuracy, with benefits like flexible PTO, equity, and growth opportunities, while GitLab upholds equal opportunity, non-discrimination, privacy, and accommodation policies.

GitLab is an intelligent DevSecOps orchestration platform that uses AI as a core productivity multiplier and centers a high-performance, values-driven remote culture. This 100% remote role is based in Spain and seeks a Business Development Representative (BDR) to lead initial outbound outreach to targeted accounts in collaboration with Field and Digital Marketing, Sales, and Customer Success teams. You will generate qualified meetings and pipeline through outbound prospecting, conduct high-level discovery to qualify opportunities for Sales Accepted Opportunities (SAOs), and maintain a multi-touch outreach cadence to maximize engagement using tools like Outreach and Salesforce. Requirements include fluency in Spanish, prior tech outbound sales development experience, strong phone and writing skills, proficiency with Salesforce, Sales Navigator, and Outreach, English proficiency, ability to travel for events, and a proven ability to drive initiatives and meet targets. You’ll be part of a growing remote Sales team with extensive onboarding, a clear path to Account Executive, and comprehensive benefits, while GitLab maintains an equal opportunity employer policy and supports location-based eligibility and accommodations.

GitLab is a 100% remote, AI-powered DevSecOps platform trusted by over 50 million users and many Fortune 100 companies, with a culture that emphasizes continuous knowledge exchange and equality, and roles based in the UK, Spain, and Ireland. The position is a remote Business Development Representative (BDR) on the Sales team, responsible for leading outbound outreach to targeted accounts to generate qualified meetings and create pipeline for GitLab's AI-powered platform. Responsibilities include executing multi-touch outbound campaigns, generating new logos and growth opportunities, conducting high-level discovery to qualify opportunities and create SAOs, collaborating with Field, Marketing, Sales, and Customer Success, attending events, mentoring new BDRs, and pursuing a path to Account Executive. Requirements include fluency in German, prior tech outbound sales development experience, strong communication and writing skills, proficiency with Salesforce, Sales Navigator, and Outreach, English proficiency, ability to travel for events, and willingness to work across multiple US time zones in a remote setup. GitLab provides extensive onboarding, remote collaboration, flexible benefits (PTO, equity, parental leave), and a firm commitment to equal opportunity and privacy, with location-based eligibility and recruitment privacy policies in place.

GitLab presents itself as an AI-powered, intelligent DevSecOps platform that aims to boost developer productivity, security, and digital transformation, anchored in a high-performance, knowledge-sharing, and inclusive culture. The role is a 100% remote Business Development Representative based in the US or Canada, responsible for leading outbound outreach to target accounts and generating qualified meetings and pipeline in collaboration with Field, Digital Marketing, Sales, and Customer Success teams. Key duties include outbound prospecting to create New Logo and Growth opportunities, conducting discovery to qualify opportunities, meeting SAO targets, prioritizing accounts, executing multi-touch outreach, tracking activities in Salesforce, collaborating across teams, attending events, and mentoring new BDR hires. The position offers a clear path to an Account Executive role, with a US base salary of $59,000–$84,000 plus incentive pay up to 100%, plus benefits such as flexible PTO, equity, parental leave, and a Growth and Development Fund. GitLab emphasizes equal opportunity and inclusive hiring, global remote eligibility with location-based rules, recruitment privacy, and an ongoing effort to build a diverse talent pipeline even when positions aren’t immediately available.

GitLab is an AI-powered DevSecOps orchestration platform trusted by over 50 million users and a large portion of the Fortune 100, emphasizing AI-driven productivity and rapid software delivery. The role is a 100% remote Business Development Representative based in the UK, Ireland, or Spain, responsible for outbound prospecting to generate qualified meetings and pipeline in collaboration with Field, Digital Marketing, Sales, and Customer Success. You’ll conduct high-level discovery, qualify opportunities to create Sales Accepted Opportunities, meet SAO targets, research target accounts, perform multi-touch outreach, and track activities in Salesforce. The position offers extensive onboarding and training, a clear path to Account Executive, remote collaboration across time zones, and benefits such as flexible PTO, equity, and growth opportunities. GitLab is an equal opportunity employer committed to diversity and inclusion, notes location-based eligibility for some roles, and describes this as a future opportunity with promises to keep your information on file for a suitable opening.

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 users and significant Fortune 100 adoption. AI is integrated as a core productivity multiplier, and the company promotes a high‑performance culture where every voice is valued. The job posting describes a Benefits Analyst on the Total Rewards team, based in Bangalore, India, responsible for global benefits administration and day‑to‑day operations in India while collaborating with a Senior Benefits Analyst. Responsibilities include administering eligibility and enrollment, onboarding, billing, audits, data analysis across sources, coordinating with brokers and vendors, hosting benefits events, and driving process improvements with AI tools in partnership with Payroll, Finance, and People Operations. Requirements include multi‑country benefits experience, HRIS/benefits platforms (Workday preferred), strong Excel/Sheets skills, clear communication, ability to work across time zones, and willingness to be based in Bangalore, with GitLab offering supportive benefits, remote work, and an equal‑opportunity, merit‑based culture.

GitLab is an AI-enabled intelligent orchestration platform for DevSecOps used by millions, trusted by over 50 million users and many Fortune 100 companies, with AI embedded in daily workflows to boost productivity, innovation, and impact within a high-performance, inclusive culture. The role of Intermediate Backend Engineer involves taking backend features from requirements through delivery and production, collaborating with Product, Frontend, Infrastructure, and Security to ensure quality, security, performance, and maintainability of backend services. You’ll own and ship features in Ruby/Rails, Go, or other modern languages, design and maintain APIs, background jobs, data models, and tests, and operate the services in production while leveraging AI productively with proper validation. What you’ll bring includes production backend experience, adaptability across languages, feature ownership, sound judgment on security and operational risk, strong written communication for a remote asynchronous setting, plus practical experience with Go services, Docker, Kubernetes, CI/CD, PostgreSQL, and observability; knowledge of Rust is a plus. GitLab provides remote-friendly benefits like Flexible PTO, equity, Growth and Development Fund, parental leave, and Team Member Resource Groups; it is an equal opportunity employer with non-discrimination policies and accommodations, encourages applicants from underrepresented groups, and notes that location eligibility may apply.

GitLab is an intelligent orchestration platform for DevSecOps used by over 50 million registered users and trusted by more than half of the Fortune 100, with AI integrated as a core productivity multiplier across daily workflows. The company promotes a high-performance, inclusive culture that values every voice and aims to co-create technology that accelerates software development. The role is a Backend Engineer on the Repository Services team in the Create stage, building the repository access layer with Ruby and GraphQL and focusing on reliability, performance, caching, testing, observability, and cross-team collaboration. Applicants should have experience building backend web applications or APIs with Ruby and GraphQL, relational databases, testing, and ideally experience with AI coding agents or interest in developing those skills, plus strong English communication and the ability to work in a remote, asynchronous environment with on-call responsibilities as needed. The Repository Services team is a small backend group formed in 2026, with a US base salary range of $115,200–$194,400 (base, not including bonuses, equity, or benefits), remote-friendly and worldwide eligibility, comprehensive benefits, and GitLab’s equal opportunity hiring policy.

GitLab is an intelligent DevSecOps orchestration platform trusted by over 50 million registered users and many Fortune 100 companies, emphasizing AI as a productivity multiplier and a high-performance, inclusive culture. The Backend Engineer role on the Plan: Spec-Driven Development team focuses on building GitLab’s intent-to-code loop with agentic workflows, owning backend work across flows, APIs, data models, and evaluation systems using Ruby on Rails, Python, PostgreSQL, GitLab Duo Agent Platform, LLM APIs, and an AI gateway. You’ll join a small, distributed team of four engineers working toward a public beta, collaborating with design partners, and in your first year you’ll lead major features from unclear problems through release while mentoring others and shaping technical decisions. Requirements include strong Ruby on Rails and Python production experience, experience leading multi-month projects with outcomes, a product mindset, full-stack capabilities with API design and SQL fundamentals, and familiarity with AI-assisted development; experience with GraphQL, PostgreSQL at scale, or LLM/agent systems is helpful but not required, and diverse backgrounds are welcomed. GitLab offers remote, async work, comprehensive benefits, equity, growth opportunities, and a commitment to equal opportunity and accommodations, with location-based eligibility and a recruitment privacy policy guiding the process.

GitLab is the intelligent orchestration platform for DevSecOps that helps organizations boost productivity, efficiency, security, and digital transformation, with more than 50 million users and Fortune 100 adoption. The company emphasizes AI as a core productivity multiplier and expects all team members to incorporate AI into their daily workflows, fostering an inclusive, high-performance culture where every voice is valued. The role is Backend Engineer on the Plan: Spec-Driven Development team, building GitLab’s intent-to-code loop and owning backend work across flows, APIs, data models, and evaluation systems using Ruby on Rails, Python, PostgreSQL, GraphQL, GitLab Duo Agent Platform, LLM APIs, and an AI gateway. Responsibilities include leading features from early discussions through design, implementation, rollout, and post-launch learning; building flows, APIs, and durable specifications; developing evaluation/benchmarking for workflow quality and cost; collaborating with product, design, engineers, and users; mentoring others; and working in GitLab’s asynchronous, all-remote environment. Qualifications include strong Ruby on Rails experience in large production codebases, production Python experience, experience leading multi-engineer projects with clear outcomes, a product mindset and end-to-end ownership, API design and SQL fundamentals, familiarity with AI-assisted development, and the team notes a small, four-engineer, remote setup with EU/Poland salary ranges and comprehensive benefits under an equal-opportunity policy.

GitLab is an AI-enabled DevSecOps platform with 50M+ users and Fortune 100 adoption, emphasizing AI as a daily productivity multiplier across the company. The Intermediate Backend Engineer on the GitLab Orbit team will build and operate the Knowledge Graph Rust backend that powers GitLab Duo agents, analytics, and architecture-wide features, using ClickHouse, NATS JetStream, and the Data Insights Platform. Responsibilities include implementing backend features in Rust, maintaining integrations with Rails and Data Insights, contributing to system design for reliability and scalability, improving metrics and runbooks, and participating in on-call and asynchronous cross-team collaboration. Requirements include production backend experience, Rust interest or experience, exposure to distributed data/analytics, interest in graph data modeling, and the ability to work in a low-process, high-ownership environment with a language-agnostic mindset and AI tooling experience. GitLab offers remote worldwide roles, a US base salary range of $115,200–$162,000 for this level, plus benefits, equity, and growth opportunities, and is an equal opportunity employer with inclusive policies.

GitLab is an intelligent orchestration platform for DevSecOps trusted by over 50 million users and a majority of Fortune 100 companies, built around AI-driven productivity and a high-performance, inclusive culture. The role, Associate Renewals Manager, is an individual-contributor position reporting to a Senior Renewals Manager, focused on timely, accurate renewal execution and consultative engagement with customers throughout the renewal cycle. Key responsibilities include managing a portfolio of renewals, surfacing expansion opportunities, preparing renewal quotes and documentation, analyzing terms, and collaborating with Sales, Customer Success, and Finance while maintaining CRM data. Requirements include the ability to execute basic renewal processes, a growth mindset, strong written and verbal communication, attention to detail, and willingness to travel in a remote, asynchronous work environment. GitLab offers flexible PTO, equity, growth funds, parental leave, and an equal-opportunity, global hiring policy, with a US salary range of $53,760–$105,000 and location-based eligibility guidelines for remote roles.

GitLab frames itself as an AI-enabled DevSecOps orchestration platform used by 50M users and many Fortune 100 companies, with AI as a core productivity multiplier shaping its culture. The AI Transformation Owner will drive the field organization's AI agenda, translate capabilities into enablement roadmaps and field-use cases, partner with product and engineering to pilot and scale AI, embed AI into daily workflows, and establish governance for safe, compliant adoption. Responsibilities include owning the AI enablement roadmap, identifying high-value field use cases (deal support, prospecting, content generation, etc.), building field champions and tracking adoption, designing an operations plan to scale pilots, and leading AI governance standards. The candidate should have mid-senior experience in enablement or sales ops, direct AI tools experience, cross-functional fluency, autonomy, strong program management, an innovative mindset, and alignment with GitLab’s all-remote culture. The role sits in Enablement & AI within the CRO organization, with flexible benefits and a US-based base salary range of $139,200–$235,200, and GitLab emphasizes equal opportunity and accommodation.

At Atlassian, employees can choose to work in an office, from home, or a mix of both, and the company hires in any country where it has a legal entity to support personal priorities. Atlassian’s DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product (getdx.com) and to act as the technical authority for Enterprise customers after the sale. The role involves leading technical implementation with Customer Success Managers across onboarding, complex integrations, and system architecture to ensure a smooth transition from evaluation to production. It also includes architecture and strategy work—deep-dive sessions to map the DX platform to customers’ long-term goals and workflows—and custom solution engineering to build integrations that connect DX APIs to client environments. Additional responsibilities include consultative implementation, serving as a trusted advisor on best practices for DX analytics and deployment, and capturing feedback to inform the product roadmap and feature enhancements.

Atlassian offers flexible work arrangements—office, remote, or a combination—and hires in any country where they have a legal entity. The DX Solutions Engineering Team is seeking a skilled Solutions Architect to drive adoption and long-term growth of the DX product (getdx.com) for Enterprise customers. The role serves as the technical authority after the sale, leading all post-sales technical work from onboarding to complex integrations and system architecture to ensure a smooth transition from evaluation to production. Responsibilities include leading technical deep-dives to map the DX platform to customers’ workflows, designing tailored integrations, and guiding consultative implementation to optimize performance. It also acts as a trusted advisor on DX analytics and deployment best practices, while capturing feedback to inform the product roadmap and future feature enhancements.

Atlassian lets employees choose where to work—office, home, or a mix—and hires in any country where it has a legal entity. The company is seeking a Senior Machine Learning Engineer to join the AI Context team within the broader Rovo + AI organization, to develop agentic LLM harnesses powering high-visibility Rovo AI features and context-aware experiences. The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, with a mix of SWEs and MLEs collaborating across Rovo + AI and product teams to deliver insights, modeling, and personalization. Responsibilities include designing, building, shipping, and operating agentic LLM harness solutions, improving quality and reducing cost of production LLM systems, building evaluation capabilities, and contributing to fine-tuning and model serving, while setting long-term technical direction for LLM harness engineering. The role entails navigating complex systems, proposing durable architectures, guiding cross-team technical direction, leading small virtual squads, coaching junior engineers, and partnering with Engineering Managers and Heads of Engineering to achieve key results.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. They are seeking a Senior Machine Learning Engineer to join the AI Context team within the Rovo + AI organization to build agentic LLM harnesses that power high-visibility features and contextually aware experiences for users and agents. The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, consists of software engineers and MLEs, and collaborates closely with Rovo + AI and product teams to deliver insights, modeling, and personalization that provide relevant context to users and AI agents. Responsibilities include designing, building, shipping, and operating agentic LLM harness solutions, improving quality and reducing cost of production LLM systems, building robust evaluation capabilities, contributing to fine-tuning and model serving, and setting long-term technical direction while incorporating research advances. The role also involves navigating complex systems, leading small virtual squads, acting as a thought partner to Engineering Managers and Heads of Engineering, influencing technical direction across stakeholders, and coaching junior engineers to help the team achieve key results.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. The Senior Machine Learning Engineer will join the AI Context team within the broader Rovo + AI organization, building agentic LLM harnesses for high-visibility features and contextual experiences. The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, combining software and ML engineers who collaborate with Rovo + AI and product teams. Responsibilities include designing, building, shipping, and operating agentic LLM harness solutions, improving quality and reducing cost in production LLM systems, and contributing to evaluation, fine-tuning, and model serving, while shaping long-term technical direction. You will act as a thought partner to Engineering Managers, influence across stakeholder teams, lead small virtual squads, and coach junior engineers to help the group achieve its key results.

Atlassian supports flexible work locations, allowing in-office, remote, or hybrid arrangements to help employees balance family, personal goals, and priorities. The company hires people in any country where it has a legal entity. Atlassian is seeking a Senior Machine Learning Engineer to join the AI Context team within the broader Rovo + AI organization to build agentic LLM harnesses powering high-visibility Rovo AI features and contextually aware experiences. The AI Context team spans Sydney, Melbourne, Brisbane, and the US West Coast, with a mix of software engineers and ML engineers who collaborate across Rovo + AI and product teams, focusing on insights, modeling, and personalization and valuing ownership with asynchronous collaboration. In this role you will design, build, ship, and operate agentic LLM harness solutions, improve quality and reduce costs of production LLM systems, contribute to long-term technical direction, navigate complex systems, partner with engineering managers, lead small virtual squads, and coach junior engineers toward key results.

Atlassian's mission is to unleash the potential of every team, with collaborative products like Jira, Confluence, and Bitbucket that fit into teamwork across diverse groups and even power breakthroughs such as NASA's Mars Rover and Cochlear’s hearing solutions. The Central AI Org drives AI innovation across Atlassian’s products and platforms, aiming to deliver seamless AI experiences and a robust Atlassian AI infrastructure, including horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system, while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team builds foundations to democratize AI and ML for Atlassian’s teams, customers, and ecosystem by delivering productive, reliable tools to develop, deploy, measure, and operate AI/ML experiences, integrating with the Atlassian Data Platform and upholding security and data usage policies to ensure a smooth user experience. Atlassians can work in an office, from home, or in a hybrid setup, and the company hires in any country where it has a legal entity. The Senior Machine Learning System Engineer role involves developing core infrastructure for engineers, ML engineers, and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with Jira and Confluence to solve ML challenges, curating datasets and fine-tuning LLMs, leading projects from design to launch, delivering solutions used by millions, and mentoring junior team members.

Atlassian’s mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that support collaboration across diverse teams and industries, as shown by examples like NASA’s Mars Rover and Cochlear. The role sits in the Central AI Org, specifically the AI & ML Platform Team, which drives AI innovation, builds horizontal AI capabilities, and creates a centralized Search, Q&A, and Conversational AI system that integrates with all Atlassian products and beyond. The AI & ML Platform Team aims to democratize AI/ML across Atlassian by building tools to develop, deploy, measure, and operate AI experiences while integrating with the Atlassian Data Platform and enforcing security and data usage policies. Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever there is a legal entity. As a Senior Machine Learning System Engineer, you will develop core infrastructure enabling engineers and data scientists to create, train, deploy, evaluate, and manage ML models and pipelines; collaborate with Jira/Confluence teams; curate datasets and fine-tune open-source or proprietary LLMs; lead projects from design to launch; deliver AI features used by millions; perform code reviews, documentation, and bug fixes; partner on company-wide initiatives; and mentor junior teammates.

Atlassian's mission, to unleash the potential of every team, is realized through products like Jira, Confluence, and Bitbucket that support collaboration across diverse teams and have contributed to real-world achievements such as the NASA Mars Rover mission and Cochlear's hearing devices. The role sits in the Central AI Org, specifically the AI & ML Platform team, which aims to drive AI innovation across Atlassian products and build a robust AI infrastructure, including a centralized Search, Q&A, and Conversational AI system. The AI & ML Platform Team seeks to democratize AI/ML by creating horizontal capabilities and tools that integrate with the Atlassian Data Platform while ensuring security and data usage policies. As a Senior Machine Learning System Engineer, you will help develop core infrastructure enabling engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with Jira and Confluence to solve their ML challenges, such as curating datasets and fine-tuning LLMs. You will lead projects from design to launch, deliver AI features used by millions, perform code reviews and bug fixes, mentor junior engineers, and enjoy flexible working arrangements with global hiring for any country with a legal entity.

Atlassian's mission to unleash the potential of every team underpins products like Jira, Confluence, and Bitbucket, enabling collaboration across diverse teams and powering breakthroughs such as NASA's Mars Rover and Cochlear. The company's Central AI Org is dedicated to driving AI innovation and building a robust AI infrastructure, including a centralized Search, Q&A, and Conversational AI system across products and potential integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by developing horizontal capabilities and tools that integrate with the Atlassian Data Platform, enabling development, deployment, measurement, and operation of AI experiences while enforcing security and data usage policies. As a Senior Machine Learning System Engineer, you will build core infrastructure to empower engineers and data scientists to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with Jira and Confluence teams and possibly fine-tuning LLMs or using proprietary models, from design to launch. Atlassian offers flexible work arrangements and global hiring, and this role focuses on delivering cutting-edge AI features to millions of users, with opportunities for code reviews, documentation, bug fixes, mentoring juniors, and leading cross-team initiatives.

Atlassian's mission is to unleash the potential of every team, supported by Jira, Confluence, and Bitbucket that fit into the fabric of teamwork and help teams succeed—impacting fields as diverse as NASA's Mars Rover and Cochlear's hearing solutions. The role is in the Central AI Org, specifically the AI & ML Platform team, which drives AI innovation and aims to deliver horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system across Atlassian products. The team works to democratize AI/ML across Atlassian's products and ecosystem by building tools to develop, deploy, measure, and operate AI experiences, integrated with the Atlassian Data Platform and abiding by security and data usage policies. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, giving employees control to support personal goals. As a Senior Machine Learning System Engineer, you'll develop and refine core infrastructure that lets engineers, ML engineers, and data scientists build, train, evaluate, deploy, and manage ML models; collaborate with Jira and Confluence teams; curate datasets and fine-tune LLMs; lead projects from design to launch; deliver features used by millions; and mentor junior teammates while participating in code reviews and cross-team initiatives.

The Principal Incident Responser at Atlassian, based in Australia, leads regional security incident response and guides complex investigations during critical Severity 0/1 incidents, coordinating cross-team efforts. They manage incident-related communications to executives and key stakeholders (Legal, Privacy, Communications) and serve as the primary liaison with external bodies such as law enforcement, CERTs, and ISACs. The role includes coaching and mentoring team members, delivering projects to enhance incident response capabilities, and building tools, systems, and programs to boost Atlassian's security posture. They strengthen readiness by creating and running regular training exercises and post-incident reviews to identify root causes and drive process improvements, while collaborating with other security teams on long-term prevention strategies. The position requires an ideal candidate with broad security-domain experience, strong problem-solving and communication skills, and a mindset that values teamwork, innovation, and dedication, while producing Atlassian-specific threat intelligence and staying current with security trends and emerging risks.

At Atlassian, the Principal Incident Responser based in Australia leads the security incident response from initial triage to remediation and develops tools, systems, and playbooks to improve incident handling. The ideal candidate has extensive experience across security domains, strong problem-solving abilities, and excellent communication, with a focus on teamwork, innovation, and dedication. Responsibilities include leading the region's security incident response for critical (Severity 0/1) incidents, driving complex investigations, cross-team coordination, and providing updates to executives and stakeholders such as Legal, Privacy, and Communications. The role serves as the primary liaison with external bodies (law enforcement, CERTs, ISACs), coaches and mentors team members, and owns projects to enhance incident response capabilities, including building new tools and conducting training exercises and post-incident reviews. Additional duties involve collaborating with other security teams on long-term prevention strategies, producing Atlassian-specific threat intelligence, and staying current with security trends, threats, and technologies to prepare for emerging risks.

The Head of Detection & Response (DnR) at Atlassian is a senior security engineering leader responsible for global incident detection, response, threat intelligence, and security operations, driving strategy, execution, and outcomes to prevent, detect, and respond to threats at scale and to build customer trust. Atlassian supports flexible work arrangements and hires in any country where it has a legal entity. The role owns the global detection and response strategy, roadmap, and investment plan; leads a multi-time-zone organization; and establishes governance with OKRs, SLOs, and executive dashboards for visibility. Responsibilities include detection engineering to scale cloud-native detections across identity, data, endpoints, CI/CD, containers, and SaaS; incident response with 24x7 coverage, automation, playbooks, and blameless post-incident reviews; and threat intelligence and hunting to translate signals into prioritized detections and measurable findings. It also covers platform, data, and AI enablement with privacy-aware telemetry and human-in-the-loop controls; risk, compliance, and partnering across security teams; and representing DnR in executive forums and external audits to build trust through transparency.

The Head of Detection & Response (DnR) at Atlassian leads global incident detection, response, threat intelligence, and security operations, tying strategy and outcomes to business risk and customer trust in cloud-first environments to prevent, detect, and respond to threats at scale. Atlassian offers flexible work options and hires in any country where it has a legal entity, enabling staff to balance family, personal goals, and other priorities. The role owns the global detection and response strategy, roadmap, and investment plan; leads a multi-layer organization across time zones; builds a high-performing leadership bench and succession plan; and establishes governance with clear OKRs, SLOs, and executive dashboards. It drives detection engineering to scale cloud-native detections across identity, data, endpoints, CI/CD, containers, and SaaS, reduces false positives through quality gates and purple teaming, and runs a 24x7 incident response function with automation, playbooks, and blameless post-incident reviews. It also builds threat intelligence and hunting capabilities, partners with Trust Engineering to evolve the security data platform with privacy-aware telemetry and lineage, uses ML/LLM-assisted detections with human-in-the-loop controls, and collaborates on risk, compliance, and external partnering while representing DnR in executive forums and audits to maintain trust.

The Head of Detection & Response (DnR) is a senior security engineering leader accountable for Atlassian’s global incident detection, response, threat intelligence, and security operations programs, with the aim of preventing, detecting, and responding to threats at scale while maintaining customer trust across cloud-first environments. They own the global detection and response strategy, roadmaps, and investment plans, and establish governance with clear OKRs, SLOs, and executive/board-level dashboards while building a high-performing leadership bench across time zones. Detection engineering focuses on scaling cloud-native detections across identity, data, endpoints, CI/CD, containers, and SaaS, continuously reducing false positives and missed detections through quality gates, purple teaming, and regression testing pipelines. Incident response and operations deliver 24x7 coverage, incident management, executive communications, and customer/regulatory readiness, driving automation and playbooks for rapid containment, eradication, and recovery with blameless post-incident reviews and durable fixes. Threat intelligence and hunting, platform/data/AI enablement, and risk/partnering involve building intel fusion, hypothesis-driven hunting, evolving the security data platform with privacy-aware telemetry and data lineage for detections and analytics, and representing DnR in executive forums, customer escalations, and external audits to build trust through transparency and evidence.

The Head of Detection & Response (DnR) at Atlassian is a senior security engineering leader responsible for global incident detection, response, threat intelligence, and security operations, shaping strategy and outcomes across cloud-first environments to prevent, detect, and respond to threats at scale while Atlassian supports flexible work arrangements and hires globally where it has legal entities. The role oversees global strategy, roadmaps, investment, governance with clear OKRs and SLOs, and leads a multi-time-zone organization with succession planning and executive visibility. In Detection Engineering, the DnR scales cloud-native detections across identity, data, endpoints, CI/CD, containers, and SaaS, while reducing false positives through quality gates, purple teaming, and regression testing. In Incident Response, the function operates 24x7, manages incidents, executive communications, customer/regulatory readiness, and drives automation with durable post-incident fixes. The role also leads Threat Intelligence and Hunting, Platform/Data/AI Enablement, and Risk/Compliance partnerships—building intel fusion, leveraging ML/LLM-assisted detections with human-in-the-loop controls—and represents DnR in executive forums and audits to build trust and meet commitments.

The Head of Detection & Response (DnR) is a senior security engineering leader accountable for Atlassian’s global incident detection, response, threat intelligence, and security operations programs, driving strategy, execution, and measurable outcomes across cloud-first environments to prevent, detect, and respond to threats at scale while building customer trust. Atlassians can work anywhere (office, home, or hybrid), and the company hires in any country with a legal entity. Strategy and Leadership: Own the global detection and response strategy, roadmap, and investment plan, tie security outcomes to business risk and customer trust metrics, lead a multi-layer organization across time zones, and establish governance with clear OKRs, SLOs, and executive dashboards. Detection Engineering and Incident Response: Scale cloud-native detections across identity, data, endpoints, CI/CD, containers, and SaaS; continuously reduce false positives and missed detections; operate a world-class IR function 24x7 with automation, playbooks, and blameless post-incident reviews with durable fixes. Threat Intelligence, Platform/Data/AI Enablement, and Risk/Compliance: Build intel fusion and hypothesis-driven threat hunting with measurable findings-to-detection; enable a privacy-aware data platform with ML/LLM-assisted detections and human-in-the-loop controls; align with Product Security, Corporate Security, Governance/Risk, and Security Assessments, and represent DnR in executive forums, customer escalations, and external audits, building trust through transparency and evidence.

Atlassian supports flexible work options (office, home, or hybrid) and hires people in any country where it has a legal entity. The Atlassian Advisory Services team is globally distributed and helps large strategic and enterprise customers maximize value from their Atlassian investments. They are hiring a Principal Consultant - Agile Scale with an Enterprise Strategy and Planning focus and AI expertise as an individual contributor (not managerial) to join Advisory Services Delivery. The role involves collaborating on strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, leading complex engagements, developing innovative technical content, and delegating to Solution Consultants while owning client outcomes. It also includes driving internal initiatives across Atlassian, influencing broader engagement with enterprise customers, and traveling up to 30% domestically and occasionally internationally.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control over family, personal goals, and priorities. - The Atlassian Advisory Services team is globally distributed and works with large strategic and enterprise organizations to solve complex challenges and maximize value from Atlassian investments for their users. - They are hiring a Principal Consultant - Agile Scale with an Enterprise Strategy and Planning focus and strong AI expertise to join the Advisory Services Delivery team as an individual contributor (not a managerial role). - Responsibilities include aligning strategic outcomes with customers, solving business challenges using Atlassian products, identifying expansion opportunities, building deep expertise, leading complex engagements, driving internal initiatives, delegating to Solution Consultants while owning client outcomes, and developing technical content and enablement across the organization. - The role requires travel up to 30% (domestically and sometimes internationally) for internal and customer-facing events.

- Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. - Jira sits at the heart of Atlassian’s System of Work, evolving into an intelligent partner for modern work, enriched by the Teamwork Graph and powered by Rovo, 1P, and 3P agents to blend human creativity with enterprise-grade reliability. - The Jira Design team, based in Australia and North America, is seeking a Lead Product Designer who will report to a Senior Design Manager and lead strategic, end-to-end design work across Jira within the Teamwork Collection. - The role involves designing end-to-end experiences, integrating AI into Jira workflows and collaboration, unifying design language across Jira, Rovo, and agentic tooling, mentoring the design team, and collaborating with cross-functional partners to deliver customer value and impact. - Requirements include 7+ years of product design for complex software, strong craft and prototyping, experience with AI-native processes, end-to-end UX, storytelling, user research, collaboration, stakeholder management, and the ability to define success metrics and drive meaningful outcomes.

Atlassian supports flexible work locations—office, remote, or hybrid—and hires in any country where the company has a legal entity, giving employees more control over family, personal goals, and priorities. Jira is the core of Atlassian's System of Work, evolving from a team-management tool into an intelligent partner for modern work, enriched by the Teamwork Graph and powered by Rovo, 1P, and 3P agents to blend human creativity with enterprise-grade reliability and agent-driven execution. The Jira Design team is seeking a Lead Product Designer who will report to a Senior Design Manager and work across multiple teams in Australia and North America to lead strategic work within Jira, Atlassian’s flagship product in the Teamwork Collection. In this role you will design end-to-end experiences, mentor the design team, lead strategic initiatives, define a cohesive vision, and collaborate with engineers, product managers, researchers, and others to ship industry-leading work and advance AI-native workflows and integrations. Candidates should have 7+ years of product design experience with enterprise software, strong visual craft and prototyping, experience with AI-native processes, end-to-end UX, customer research, storytelling, stakeholder management, cross-functional collaboration, and the ability to define success metrics and improve processes.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity; for this role, it is fully remote but must be located in Australia or New Zealand. The Growth Organization helps users discover, try, adopt and gain value from Jira, Confluence, Loom and Teamwork by combining product thinking, platforms and data analysis to drive experimentation and AI transformation. The Growth Monetization team optimizes customer experiences and interactions across core products, contributing to revenue from first contact to purchase, with focus areas including guiding frontend experiments and understanding the user journey and purchase funnel. Responsibilities include owning the technical evolution and long-term architecture of Growth Monetization services, collaborating on roadmaps, maintaining operational excellence in performance, reliability, observability, data safety and security, and leading reviews, incidents, and cross-team experimentation strategies while mentoring engineers. Basic qualifications include a CS-related degree or equivalent, 12+ years in large-scale distributed systems with 4+ years in architectural leadership; preferred qualifications cover shaping technical direction across teams, experience with data streaming, cloud platforms (AWS/GCP), proficiency in modern OO languages, and strong mentoring and leadership abilities.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country with a legal entity; this role is fully remote but located within Australia or New Zealand. The Growth Organization helps users discover, try, adopt, and derive value from Jira, Confluence, Loom, and the Teamwork Collection by combining product thinking, platforms, and data analysis to drive experimentation and long-term customer value. As a Senior Principal Engineer in Growth, you will shape platforms, set technical strategy, and drive the Atlassian AI transformation to make products the agent-native system of record, delivering customer value through data-driven innovation. The Growth Monetization team focuses on optimizing customer experiences and revenue, guiding front-end experiments, understanding the product-led sales funnel, and owning the long-term architecture, reliability, observability, data safety, and security of monetization platforms and experimentation capabilities, with mentoring and cross-team collaboration. Basic qualifications include a CS degree or equivalent, 12+ years of building large-scale distributed systems, and 4+ years of architectural leadership, with preferred qualifications including department-level influence on architecture and product strategy, experience with SaaS/PaaS/IaaS and cloud (AWS and/or GCP), multi-language proficiency, and a track record mentoring engineers and leading technical initiatives.

Atlassian is building a world-class engineering organization focused on AI initiatives and helping customers transition to the cloud, delivering value across Jira, Confluence, Trello, and Bitbucket. The Senior FinOps Analyst role reports to the Head of Engineering FinOps and plays a key part in Atlassian’s cost efficiency strategy across AWS and GCP. The role involves owning cost and usage insights, identifying optimization opportunities, and delivering evidence-based recommendations to engineering teams to adopt. It also includes collaborating on rate optimization with cloud vendors, leading cost-efficiency discussions, supporting cost allocation and attribution, and designing data models and dashboards to give stakeholders visibility into costs and opportunities. Additional responsibilities cover setting data-query standards, building adaptable analytical models, using AI tools to speed analysis, validating savings with trade-offs, planning training, mentoring junior analysts, and contributing to a fast-growing FinOps team with exposure to senior leaders.

Atlassian aims to be a 100-year company and is building a world-class engineering organization focused on AI initiatives and helping customers transition to the cloud, delivering value through Jira, Confluence, Trello, and Bitbucket. In this context, the Senior FinOps Analyst reports to the Head of Engineering FinOps and plays a key role in Atlassian’s cost-efficiency strategy across AWS and GCP. The role involves owning cost and usage insights for partner teams, identifying optimization opportunities, and making evidence-based recommendations, including leading rate optimization discussions with engineers and cloud vendors. It also supports cost allocation and attribution, designs data models and dashboards, sets standards for data querying, and uses AI tooling to accelerate analysis and surface actionable insights while validating savings with trade-offs. Finally, the role includes planning training, mentoring junior analysts, and working within a fast-growing, multi-disciplinary FinOps team that has exposure to engineering teams and senior leaders.

- Atlassian is seeking a Senior Machine Learning Engineer to join the Rovo Agents quality team in Studio to build systems that measure and improve AI agent performance for thousands of companies. - Rovo Agents is a model-agnostic cloud platform where customers configure agents with instructions, knowledge, tools and skills and deploy them in Jira, Confluence, automation rules, or as autonomous agents, making continuous quality checks essential because misconfigurations and failing tools can occur. - The role involves designing, building, shipping, and operating evaluation and optimization systems, including offline benchmarks and online production metrics that assess whether agents understand tasks, use tools correctly, and deliver helpful results. - You will implement regression tests, develop realistic evaluation suites with real usage patterns, synthetic scenarios, and simulated tools, and create sampling-based and model-based quality signals that are calibrated against human judgments and independent outcomes. - You will own projects end-to-end, contribute to design and code reviews, coach engineers on writing effective evals, and work with product, data science, and central AI teams to improve agent quality while reducing cost and latency in production LLM systems.

Atlassian seeks a Senior Machine Learning Engineer for the Rovo Agents quality team in Studio to build systems that measure and improve AI agents used by thousands of companies. The role focuses on designing, building, deploying, and operating evaluation and optimization systems for Rovo agents, including offline evaluation suites and benchmarks that reflect real tasks and online production metrics. You will run regression tests, create online quality metrics on production traffic, and evaluate agents with signals such as tool errors, retries, failed handoffs, abandoned sessions, and model-based judgments, calibrated against human ratings and independent outcomes (addressing the three questions of understanding, tool use, and usefulness). You will use evaluation results to improve agent quality across prompts, context, tool use, retrieval, and routing, including selecting the right agent for a request, while reducing cost and latency of production LLM systems. You will own projects end-to-end, contribute to design and code reviews, coach engineers, and help write good evals; the team is based in Sydney and Melbourne with remote options, and Rovo Agents is a model-agnostic cloud platform integrated with Jira and Confluence.

Atlassian is seeking a Principal Machine Learning Engineer to set the technical direction for AI agent quality in Studio and lead hands-on work to measure and improve agent performance. The role centers on Rovo Agents, a model-agnostic cloud platform where customers configure agents with instructions, data, and tools to operate in Jira, Confluence, automation rules, or autonomously. Because customers build their own agents, quality must be evaluated continuously with three questions: did the agent understand and follow the task, did it use its tools correctly and report honestly, and did the result help. Responsibilities include owning the agent quality architecture, designing evaluation systems with a mix of deterministic checks, behavioral heuristics, and context-based judgments, and building benchmarks, datasets, and observability for production evaluation. The position leads cross-team technical direction, defines regression gates and drift detection, mentors engineers, and collaborates with teams in Sydney and Melbourne (with remote options) plus product, data science, and central AI teams to drive measurable improvements in agent quality.

Atlassian is seeking a Principal Machine Learning Engineer to set the technical direction for AI agent quality in Studio, taking hands-on leadership to measure and improve agent performance on the Rovo platform. The Rovo Agents platform is model-agnostic and customer-built, so quality must be evaluated across individual agents with checks for understanding, tool use, honesty, and actual usefulness, rather than a single pre-release QC. Responsibilities include owning the agent quality architecture—defining metrics, sampling production traffic, and aggregating results while surfacing important failure modes. You'll design for cost and accuracy, determine which quality questions can be answered deterministically, heuristically, or via contextual model judgment, and build an evaluation and experimentation system with benchmarks, datasets, and observability. The role involves shipping quality into releases with regression gates and drift detection, tackling hard problems like agent routing and tool reliability, leading cross-team technical direction, growing ML craft, and mentoring engineers in Sydney/Melbourne with remote options and collaboration across product, data science, and central AI teams.

The role targets an engineer to join Atlassian's SRE team and help scale cloud services powering Jira, Confluence, and Bitbucket Clouds. The SRE team owns the infrastructure, tooling, and automation and deeply understands how Atlassian products use cloud infrastructure to meet customer reliability expectations. They are seeking someone with knowledge of modern cloud infrastructure, programming expertise, operational experience, and a passion for changing the status quo to improve reliability, performance, scalability, and cost efficiency. On the first day, candidates should have at least 1 year of experience operating high-availability, fault-tolerant, distributed software in production, plus 1 year of hands-on experience with public cloud offerings, familiarity with Unix/Linux, and a focus on debugging, improving code, and automating routine tasks. Backend experience in Java, Go, or Python and strong written and verbal communication skills to explain complex technical issues to both technical and non-technical audiences are also required.

We are looking for an engineer to join our SRE team to scale cloud services and improve reliability, performance, scalability, and cost efficiency. The SRE team owns the infrastructure, tooling, and automation that Jira, Confluence, and Bitbucket Clouds run on, and understands how Atlassian products leverage cloud infrastructure to meet customer reliability expectations. The ideal candidate has modern cloud infrastructure knowledge, programming expertise, operational experience, and a desire to change the status quo. On day one, they should have at least 1 year of experience operating high-availability, fault-tolerant, scalable distributed software in production (monitoring, dashboards, alerts, runbooks), 1+ year of hands-on public cloud experience, familiarity with Unix/Linux, and a focus on debugging, improving code, and automating routine tasks. Backend engineering experience in Java, Go, or Python and strong communication skills to explain complex technical issues to diverse audiences are required.

The job is for an SRE engineer to join the growing SRE team that supports Jira, Confluence, and Bitbucket Clouds, focusing on scaling cloud services. The SRE team owns infrastructure, tooling, and automation and understands how Atlassian products use cloud infrastructure to meet reliability expectations. They want someone with knowledge of modern cloud infrastructure, programming and operational experience, and a drive to change the status quo, who can analyze and improve services and processes for higher reliability, performance, scalability, and cost efficiency. On day one, candidates should have at least 1 year of experience operating high-availability, fault-tolerant, scalable distributed software in production (monitoring, dashboards, alerts, runbooks), plus 1 year of hands-on public cloud experience, familiarity with Unix/Linux, and a focus on debugging, code improvement, and automation. Backend engineering experience in Java, Go, or Python and strong written and verbal communication skills to convey complex technical issues to both technical and non-technical audiences are required.

Atlassian offers flexible work locations—office, home, or a hybrid setup—to support personal goals and priorities, and hires in any country where it has a legal entity. The Solution Sales Executive (SSE) for Strategy Collection has full commercial ownership of their assigned sales territory, including quota, pipeline generation, and revenue realization. They lead end-to-end sales cycles from qualification through close, building trusted relationships with Directors, VPs, and C-level executives to address complex strategy-to-execution challenges. While they independently own numbers and deal mechanics, they collaborate with core enterprise account teams to map whitespace, navigate accounts, coordinate strategy, and activate the Solution Partner ecosystem to scale territory reach and customer success. Responsibilities include leading end-to-end sales motions for scaled Agile solutions, partnering with strategic accounts on planning, building territory and account plans, co-selling with partners and GSIs, and forecasting pipeline for the scaled Agile solution.

- Atlassian offers flexible work options—office, home, or a combination—and hires globally where they have a legal entity. - As a Solution Sales Executive (SSE) – Strategy Collection, you have full commercial ownership of your sales territory, including quota, pipeline, and revenue realization. - You lead end-to-end sales cycles and build trusted relationships with Director, VP, and C-level executives to address complex strategy-to-execution challenges. - While you independently own the numbers and deal mechanics, you collaborate with core enterprise account teams and activate the Solution Partner ecosystem to scale territory reach and customer success. - Responsibilities include leading end-to-end sales motions for the scaled Agile solution, partnering on account planning, building territory and account plans, co-selling with partners and GSIs, and forecasting pipeline.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity to support employees’ personal goals and priorities. As a Solution Sales Executive (SSE) – Strategy Collection, you have full commercial ownership of your assigned sales territory, including quota, pipeline, and revenue realization. You lead end-to-end sales cycles from qualification to close, building trusted relationships with Director, VP, and C-level executives to address complex strategy-to-execution challenges. You independently own the numbers and deal mechanics but collaborate with core enterprise account teams to map whitespace, navigate accounts, coordinate strategy, and activate the Solution Partner ecosystem to scale reach and customer success. Responsibilities include leading end-to-end sales motions for the scaled Agile solution, partnering with the Strategic account team on planning, building territory and account plans, co-selling with solution partners and GSIs, and forecasting pipeline for the scaled Agile solution.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally, with Atlassian Administration serving as the control center to set up, secure, and grow an organization’s Atlassian portfolio, now increasingly AI-first with Rovo and agents. The Admin Experience team is building the operating system for Atlassian admins, aiming for an Admin that tells admins what to act on, explains why, and acts on their behalf based on trusted data and scalable org structures. They are rebuilding foundations such as accurate license data, Units-based org structures, and portfolio visibility while launching AI-powered experiences like Rovo in Admin Hub and a redesigned Overview for enterprise-scale use. Day-to-day, you’ll design end-to-end admin journeys for high-stakes, data-heavy workflows (licensing, identity, app governance) and shape AI-native features (recommendations, approvals, audit trails, rollback) to earn enterprise trust. The role also involves making Administration feel like one cohesive product across teams, contributing to the Admin UI Kit and Atlassian Design System, and partnering with PM and Engineering to ensure data accuracy and meaningful outcomes for IT admins, security teams, and org owners.

Atlassians can choose where they work—office, home, or a mix—and Atlassian hires in any country where it has a legal entity to support family, personal goals, and priorities. Atlassian Administration is the control center for every organization on Atlassian's System of Work, used to set up, secure, comply, and grow the Atlassian investment, now being redesigned as AI-first with Rovo and agents. The Admin Experience team is building an Atlassian Admin that tells admins what to act on, explains how and why, and acts on their behalf, backed by trusted data, flexible org structures, and portfolio visibility. The role focuses on designing end-to-end admin journeys—covering licensing, org hierarchies, identity and access, and app governance—while shaping AI-native experiences with transparency, audit trails, approvals, and rollback. You will contribute to a cohesive product by designing patterns for the Admin UI Kit and Atlassian Design System, partnering with product and engineering to define goals and ensure enterprise-grade governance across teams.

Atlassian offers flexible work locations and global hiring to support employees’ family and personal goals while aiming to unleash the potential of every team. The Atlassian Creative Team is seeking a Lead Designer to guide the evolution and scalability of the brand identity system across a growing portfolio and audience, blending brand strategy with system-level expertise and hands-on work. The role entails leading brand systems projects from brief to delivery, directing designers and copywriters, and serving as the main contact for leadership, clients, and agency partners to ensure a coherent brand experience across products and channels. It also involves extending the brand into new territories and sub-brands, developing AI-ready guidance and tools, and shaping how the team uses AI in concepting, production, and review while protecting quality. On day one, candidates should have 8+ years of experience, a strong portfolio of ambitious brand systems, a track record leading multidisciplinary projects, deep identity expertise, design-system experience with technical implementation, strong stakeholder management, fluency in Figma/Adobe/Keynote, and a thoughtful, collaborative approach to AI-enabled brand work.

- Atlassian offers flexible work options (office, home, or a mix) and hires in any country where they have a legal entity. - They are seeking a Lead Designer for the Atlassian Creative Team to guide the evolution and scaling of the brand identity system across a growing portfolio, working hands-on as a player/coach. - Responsibilities include leading brand system projects from brief to delivery, directing designers and copywriters, serving as the main contact for leadership and partners, and ensuring a cohesive experience that connects brand and product systems across teams and new territories. - The role also involves turning the brand system into AI-ready guidance and tools, shaping how the team uses AI, and setting standards for AI-assisted work while preserving quality. - Requirements include 8+ years of experience with a portfolio of ambitious brand systems, experience leading complex multidisciplinary projects, deep identity expertise, design-systems know-how, proficiency in Figma/Adobe/Keynote, experience with AI tools, and a collaborative mindset.

Atlassian offers flexible work options—office, home, or hybrid—and hires globally, with virtual interviews and onboarding as part of a distributed-first approach. The Mid-Market sales team manages a portfolio of mid-sized customers, pursuing cloud-first sales opportunities, cross-sell and user expansion, nurturing relationships, and hitting revenue targets, while advocating for customers by feeding feedback to product and engineering. These responsibilities are performed in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, with a TEAM commitment to guiding customers’ deployment and utilization at scale and aligned with Atlassian values. In this role you will lead and manage a team of Mid-Market sellers for the Asia Market, crafting customized sales strategies and programs to grow market share, and providing mentorship while setting and tracking performance goals. You will recruit and onboard new Account Executives, collaborate with internal teams to improve sales processes, analyze data and market trends, conduct performance evaluations, and stay informed about industry trends and competitive dynamics.

Atlassians can work anywhere—office, home, or hybrid—giving them control over family, personal goals, and priorities, and the company hires in any country where it has a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The Mid-Market sales team is responsible for managing a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and user expansion, nurturing relationships, achieving revenue targets, and serving as a strong advocate by providing feedback to product and engineering to improve the customer experience. All of these responsibilities are carried out in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, reflecting a TEAM commitment to guiding and aiding customer deployments at scale while following Atlassian values. In this role, you will lead and manage a team of Mid-Market sellers for the Asia Market, developing customized sales strategies, implementing plans to reach and expand market share, providing mentorship, and setting and tracking performance goals; you will also recruit, hire, and onboard new Account Executives. You will collaborate with internal regional and corporate teams to improve sales processes and customer satisfaction, analyze sales data and market trends for growth, conduct regular performance evaluations, and stay informed about industry trends, competitor activity, and market dynamics in the enterprise segment.

At Atlassian, work location is flexible and distributed-first, with virtual interviews and onboarding for hires worldwide. The Mid-Market sales team manages mid-sized customers, identifying cloud-first opportunities, pursuing cross-sell and expansion, nurturing relationships, and achieving revenue targets. You’ll act as a strong customer advocate by providing feedback to product and engineering to improve the customer experience, in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. All responsibilities are carried out in team-based collaboration to guide customers’ deployment and utilization of Atlassian at scale, guided by Atlassian values and a evolving sales model. In this role, you will lead a Mid-Market team for the Asia market, develop strategic sales plans, mentor and coach your team, set performance goals, recruit and onboard new Account Executives, collaborate with internal teams to improve processes and satisfaction, analyze sales data and trends, conduct performance evaluations, and stay informed about industry dynamics and competitors.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity. The Senior Solutions Consultant role is in the globally distributed Advisory Services Delivery team and is an individual contributor focused on Enterprise Strategy & Planning, not a management position. You will collaborate with peers to define strategic outcomes, partner with customers to solve business challenges using Atlassian products, and identify opportunities for service expansion within a client organization. You will also create technical solution content, stay current with best practices, advocate for customer needs across Atlassian teams, and travel up to 30% domestically or internationally for events. Requirements include 6–8 years in SaaS, 5+ years in customer-facing roles, expertise in Enterprise Agility and mapping customer practices to product capabilities, experience delivering enterprise strategy & planning tool implementations, familiarity with relevant tools and AI integrations, and English fluency (additional languages such as Japanese, Korean, or Chinese are a plus); nice-to-have items include coaching, cross-team project experience, and experience with large customers in consulting or technical roles.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever it has a legal entity. - The Atlassian Advisory Services team is a globally distributed group of experts who work with large strategic and enterprise customers to maximize value from Atlassian investments. - They’re hiring a Senior Solutions Consultant with an Enterprise Strategy & Planning focus as an individual contributor (not a management role) to deliver strategic technical guidance and expand Atlassian adoption. - Responsibilities include aligning strategic outcomes with customers, solving business challenges using Atlassian products, identifying expansion opportunities, creating prescriptive guidance, collaborating across teams, and traveling up to 30% (domestically and internationally). - Ideal candidates have 6–8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, experience delivering enterprise strategy and planning tool implementations, familiarity with AI integrations, English fluency (a second language is a plus), and enjoy coaching and cross-team collaboration.

Atlassian offers flexible work locations and global hiring, serving 300,000+ customers worldwide with a mission to unleash team potential through software and drive ongoing revenue growth. The company emphasizes a "play as a team" culture where employees support each other, celebrate wins, and share knowledge; employees work with Atlassian, not for it, and sales has strong earning potential in an expanding enterprise market. Atlassian is leading in responsible AI integration into cloud products, guiding customers to the cloud with transparent costs, faster collaboration, and improved business outcomes, while building a powerful sales strategy. The sales role focuses on high-value, strategic accounts, understanding their long-term goals, building relationships with key decision-makers, and collaborating with internal teams and partners to deliver aligned solutions and opportunities for upsell or cross-sell. Responsibilities include developing named account or territory plans, serving as the primary contact, negotiating contracts, conducting market research, providing forecasts to management, maintaining product knowledge, traveling as needed, and mentoring junior team members.

Atlassian supports flexible work locations, hires globally, serves 300,000+ customers like NASA and IBM, and aims to unleash every team's potential through powerful software, guided by the value “play as a team” and a culture where employees work with Atlassian, not for it. The company offers strong sales earnings potential driven by the enterprise market and customer preference for Atlassian products, and is leading responsible AI integration into cloud products to migrate customers to the cloud with transparent costs and faster collaboration. The role involves managing a strategic set of high-value customers, understanding their long-term goals, and crafting customized strategies to drive mutual growth, requiring close collaboration with internal teams, Channel Partners, Product Specialists, Account Managers, and Solution Engineers. Responsibilities include developing and executing named account or territory plans, serving as the main contact, building relationships with executives, identifying decision-makers, leading negotiations, conducting market research, and delivering regular sales forecasts while pursuing upsell and cross-sell opportunities. Travel as needed, mentoring junior sales staff if applicable, and embodying Atlassian values as a compass to build a revolutionary sales model focused on customer outcomes.

Atlassian’s Gen AI Platform team builds the shared foundation for creating, deploying, and operating production AI agents. They provide reusable runtimes, APIs, tools, plugins, and operational capabilities so product teams can focus on customer experiences. They’re looking for a Software Engineer who enjoys building reliable backend systems and platforms that make other engineers more effective. The role involves building and operating backend services, APIs, libraries, and developer tools for the agent platform, owning capabilities from design through testing, rollout, and production support. It also includes developing stable, self-service interfaces for defining agents, connecting tools, and extending platform behavior, improving reliability, performance, observability, and developer experience, investigating failures across distributed services, collaborating with product and platform teams, participating in code/design reviews, and on-call duties to turn operational learning into lasting improvements.

- Atlassian’s Gen AI Platform team builds the shared foundation for creating, deploying, and operating production AI agents, providing reusable runtimes, APIs, tools, plugins, and operational capabilities so product teams can focus on customer experiences. - They are looking for a Software Engineer who enjoys building reliable backend systems and platforms that make other engineers more effective. - Responsibilities include building and operating backend services, APIs, libraries, and developer tools for the agent platform, and owning well-defined capabilities from design through testing, rollout, and production support. - The role also involves developing stable, self-service interfaces for defining agents, connecting tools, and extending platform behavior, while improving reliability, performance, observability, and developer experience. - Additional duties include investigating failures across distributed services and agent execution flows, collaborating with product and platform teams, participating in code and design reviews, and on-call responsibilities with a focus on turning operational learning into lasting improvements.

Atlassian’s Gen AI Platform team builds the shared foundation for creating, deploying, and operating production AI agents, providing reusable runtimes, APIs, tools, plugins, and operational capabilities so product teams can focus on customer experiences. They are looking for a Software Engineer who enjoys building reliable backend systems and platforms that make other engineers more effective. Responsibilities include building and operating backend services, APIs, libraries, and developer tools for the agent platform, and owning well-defined capabilities from design through testing, rollout, and production support. They aim to develop stable, self-service interfaces for defining agents, connecting tools, and extending platform behavior, and to improve reliability, performance, observability, and developer experience. The role also involves investigating failures across distributed services and agent execution flows, collaborating with product and platform teams, participating in code and design reviews, and taking part in on-call to turn operational learning into lasting improvements.

Atlassian’s Gen AI Platform team builds the shared foundation for creating, deploying, and operating production AI agents, including runtimes, APIs, tools, plugins, and operational capabilities so product teams can focus on customer experiences. They are seeking a Software Engineer who enjoys building reliable backend systems and platforms that make other engineers more effective. The role involves building and operating backend services, APIs, libraries, and developer tools for the agent platform, and owning well-defined capabilities from design through testing, rollout, and production support. You will develop stable, self-service interfaces for defining agents, connecting tools, and extending platform behavior, while improving reliability, performance, observability, and developer experience. The work includes investigating failures across distributed services and agent execution flows, collaborating with product and platform teams, participating in code and design reviews, and taking part in on-call to turn operational learnings into lasting improvements.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a highly skilled Solutions Architect to drive adoption and long-term growth of the DX product for Enterprise customers. The role serves as the technical authority after the sale, leading all technical aspects of the post-sales lifecycle, including onboarding, complex integrations, and system architecture to ensure customers realize maximum value. Responsibilities include leading technical deep-dive sessions, mapping the DX platform to customers’ workflows, and designing custom integrations to meet unique business requirements. Additional duties include consultative implementation, acting as a trusted advisor on best practices for DX analytics and deployment, and capturing feedback to inform the product roadmap with engineering.

Atlassian allows flexible work arrangements—office, home, or a combination—and hires in any country where it has a legal entity, supporting employees’ family and personal goals. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product for enterprise customers, serving as the technical authority after the sale. The role leads technical implementation with Customer Success Managers, overseeing onboarding, complex integrations, and system architecture to transition from evaluation to production. It also entails architecture and strategy work, deep-dive sessions to map the DX platform to clients’ workflows, and designing custom solutions and integrations to meet unique business requirements. The architect acts as a trusted advisor on best practices for DX analytics and deployment, and provides a feedback loop to Product and Engineering to inform the product roadmap.

Atlassian offers flexible work locations—office, home, or a combination—and hires people in any country where they have a legal entity, enabling support for family, personal goals, and other priorities. They are hiring a Principal Solutions Engineer, Strategic who will be a product expert in the sales cycle, solving customers’ hardest business problems and helping close enterprise deals. The role involves partnering with sales teams and executives in large global accounts, conducting customer discovery, mapping needs to Atlassian products, identifying cross-product opportunities, delivering compelling demos, and guiding technical requirements to gain buy-in. It also requires forging strong partnerships with aligned account executives, coordinating cross-functional teams, collecting product feedback for internal development, and continually learning about Atlassian offerings and sales processes. Compensation includes equitable base pay within geographic zones in the United States (Zone A/B/C with ranges), potential benefits, bonuses, commissions, and equity, with go.atlassian.com/payzones providing location details.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity to support employees’ family and personal goals. They are hiring a Principal Solutions Engineer, Strategic who will be a product expert in the sales cycle, solving customers’ toughest business problems and helping close enterprise deals. The role involves partnering with sales teams and executives on transformation deals in large, global accounts, conducting discovery, mapping needs to Atlassian products, and identifying cross-product opportunities. Responsibilities include leading value-based demos, understanding customers’ technical needs, forging strong partnerships with aligned account executives, coordinating cross-functional teams, and providing product feedback to management. Compensation is designed to be equitable and competitive, with US geographic pay zones: Zone A: $193,730-$252,925; Zone B: $174,357-$227,633; Zone C: $160,796-$209,928, and may include benefits, bonuses, commissions, and equity, with pay zone details at go.atlassian.com/payzones and location confirmation with the recruiter.

Atlassian allows flexible work locations—office, home, or a hybrid approach—and hires globally wherever they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. Their mission is to unleash the potential of every team, offering tools that help teams worldwide collaborate to accomplish what cannot be done alone. AI/ML is transforming how teams plan, track, and deliver work, and Atlassian is seeking top machine learning engineers to advance this mission across its product portfolio. As a Machine Learning engineer, you will develop and implement cutting-edge ML algorithms, train models, and collaborate with product, engineering, and analytics teams to embed AI functionalities into Atlassian products and services. Your daily responsibilities will include designing system and model architectures, conducting experiments and evaluations, applying AI/ML to various product problems, and contributing to Atlassian Intelligence features.

Atlassian offers flexible, distributed work options and hires globally with virtual interviews and onboarding. Their mission is to unleash the potential of every team, and their tools aim to make collaboration possible for all kinds of work. AI/ML is transforming how teams plan, track, and deliver work, and they are seeking rockstar machine learning engineers to advance this mission and boost productivity with AI across products. As a Machine Learning Engineer, you'll develop and implement cutting-edge ML algorithms, train models, and collaborate with product, engineering, and analytics teams to embed AI functionalities into Atlassian's products. Your duties include designing system and model architectures, conducting experiments and evaluations, applying AI/ML to product problems, and contributing to Atlassian Intelligence features.

- Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity. - The role is a remote, field sales position based in Germany, with a territory of 2-4 strategic customers and reporting to the Director of Strategic Sales for the DACH region. - Responsibilities include developing and closing new opportunities, creating named account or territory plans, driving expansion across the full product portfolio, and serving as the main contact/escalation point for strategic named accounts to ensure customer success. - The candidate will identify key decision-makers, understand customers’ objectives, position solutions, and collaborate with internal teams, channel partners, product specialists, account managers, and solution engineers to streamline sales and satisfaction, while leading complex negotiations and contracts. - Additional duties include market research, staying informed about industry trends, providing regular sales updates and forecasts to senior management, traveling as needed, and mentoring junior sales team members if applicable.

Atlassian supports flexible work arrangements—office, home, or a mix—and hires in any country where it has a legal entity. This is a remote, field sales role based in Germany to support the DACH region, covering a territory of 2-4 strategic customers. Responsibilities include developing and closing new sales opportunities, implementing named account or territory plans, generating and maximizing expansion opportunities across the full product portfolio, and ensuring a high bar for customer success. You will be the main Atlassian contact or escalation point for strategic named accounts, identify key decision-makers, understand business objectives, and collaborate with internal teams—channel partners, product specialists, account managers, and solution engineers—to streamline sales and lead complex negotiations and contract discussions. You will conduct market research, stay informed about industry trends, provide regular updates and forecasts to senior management, travel as necessary, and mentor junior sales team members if applicable.

Atlassian offers flexible work options and hires in any country with a legal entity; this role is a remote field sales position based in Germany. You will manage a territory of 2–4 strategic customers and report to the Director of Strategic Sales for the DACH region. Responsibilities include developing and closing new sales opportunities, implementing named account or territory plans, driving expansion across the product portfolio, and ensuring high customer success. You will be the main contact or escalation point for selected strategic named accounts, identify key decision-makers, build relationships, understand business objectives, and position solutions while collaborating with internal teams to streamline sales and negotiations. You will conduct market research, provide regular sales updates and forecasts to senior management, travel as needed, and mentor junior sales team members if applicable.

Atlassian offers flexible work locations—office, home, or a hybrid model—and hires in any country with a legal entity, with this role being a remote field sales position based in Germany. The position covers a territory of 2-4 strategic customers and reports to the Director of Strategic Sales for the DACH region. Responsibilities include developing and closing new sales opportunities, creating named account or territory plans, driving expansion across the full product portfolio, and ensuring a high level of customer success. You will be the main contact or escalation point for selected strategic named accounts, identify key decision-makers, build relationships, understand business objectives, position solutions, and collaborate with internal teams and partners to streamline sales processes and satisfaction. Additional duties involve leading negotiations, conducting market research, providing regular updates and forecasts to senior management, traveling as needed, and mentoring junior sales staff if applicable.

Atlassian offers flexible work locations and will hire in any country with a legal entity, welcoming applicants from across France, with fluency in French and English required. The Strategy Collection, powered by Atlassian Intelligence and Rovo, connects strategic priorities, people, investments, and execution through Focus, Talent, and Jira Align, with Jira Product Discovery helping teams prioritise opportunities and link decisions to delivery. The role is a Senior Solution Sales Executive for Strategy Collection in France, partnering with C-levels to modernise strategic portfolio management and accelerate enterprise-wide adoption, leading six- and seven-figure deals from discovery to close. You will join the Strategy Collection Solution Sales team as the commercial and subject-matter lead across key French enterprise accounts, driving adoption and expansion in collaboration with Account Executives, Solution Engineers, Advisory Services, SDRs, Product, Customer Success, and Partners to build pipeline and close complex deals. Core responsibilities include driving revenue and deal execution, strategic account growth and co-selling, C-suite advisory for SPM modernisation, cross-functional deal orchestration, and governance and market intelligence to inform leadership and sharpen GTM.

- Atlassian offers flexible work options (office, home, or hybrid) and hires wherever there is a legal entity, with this France-focused role requiring fluency in French and English. - The Strategy Collection, powered by Atlassian Intelligence and Rovo, connects strategy, product discovery, and execution through Focus, Talent, and Jira Align, with Jira Product Discovery helping tie decisions to delivery. - As a Senior Solution Sales Executive for Strategy Collection in France, you will lead six- and seven-figure opportunities, partner with enterprise Account Executives, and drive executive-level engagements to modernise strategic portfolio management and enterprise-wide adoption. - France is a premier growth market for Strategy Collection, where CAC 40 and SBF 120 firms are actively modernising SPM and connected execution, requiring engagement with CXOs and cross-functional buying committees. - The role sits within Atlassian’s Strategy Collection Solution Sales team, collaborating with Solution Engineers, Advisory Services, SDRs, Product, Customer Success, and Partners to build pipeline, co-sell, accelerate deals, ensure customer success, and provide governance and market intelligence to sharpen France GTM execution.

Atlassian Professional Services delivers outcome-based solutions that maximize the value of Atlassian investments by accelerating adoption, reducing implementation risk, and enabling long-term business success through the Atlassian System of Work. The Services Solutions Advocate (SSA), as the commercial specialist, drives demand for professional services by partnering with customers to shape the right services engagement for their business needs. Working with Atlassian Sales, the SSA helps customers clarify objectives and recommends the services engagement and delivery model best suited to achieve them, including when to engage the Atlassian Partner Ecosystem. As a trusted advisor, the SSA works with business and technical decision makers to identify priorities, navigate complex opportunities, and align services solutions to customer goals while balancing customer value, commercial priorities, and delivery considerations. The SSA generates and influences the professional services pipeline, leads consultative discovery and the services sales cycle, shapes customer-specific engagements, develops account-level strategies with Sales, coordinates cross-functional stakeholders, and owns the professional services sales target with bookings, pipeline, forecast accuracy, and opportunity management.

Atlassian Professional Services helps customers maximize value from their Atlassian investment by delivering outcome-based solutions that accelerate adoption, reduce implementation risk, and enable long-term business success through the Atlassian System of Work. The Services Solutions Advocate (SSA) drives demand for professional services by partnering with customers to shape the right engagement and delivery model, including when to engage the Atlassian Partner Ecosystem, in collaboration with Atlassian Sales. As a trusted advisor, the SSA works with business and technical decision makers to identify priorities, navigate opportunities, and align services solutions with customer goals while balancing value, commercial priorities, and delivery considerations. The SSA leads the services sales cycle from discovery to commercial recommendations, shapes customer-specific engagements, develops account-level strategies with sales, and coordinates cross-functional stakeholders across Atlassian Sales, Professional Services, Customer Success, and the Partner Ecosystem. The SSA generates and influences professional services pipeline, identifies expansion opportunities, and owns a sales target through bookings, pipeline growth, forecast accuracy, and opportunity management.

Atlassian Professional Services delivers outcome-based solutions that maximize value from Atlassian investments by accelerating adoption, reducing risk, and enabling long-term success through the Atlassian System of Work. The Services Solutions Advocate (SSA) is the commercial specialist who drives demand for professional services by partnering with customers to shape the right engagement and, with Atlassian Sales, recommend the delivery model and timing for involving the Partner Ecosystem. Acting as a trusted advisor, the SSA works with business and technical decision makers to identify priorities and align services solutions with customer goals while balancing value, commercial priorities, and delivery considerations. The SSA generates and influences the services pipeline by leading discovery, guiding the services sales cycle from discovery to commercial recommendations, shaping engagements, and developing account-level strategies to identify expansion opportunities and maximize value. They coordinate cross-functional stakeholders across Atlassian Sales, Professional Services, Customer Success, and the Partner Ecosystem to shape engagements that support outcomes and own the professional services sales target, including bookings, pipeline growth, forecast accuracy, and opportunity management.

Atlassian Professional Services delivers outcome-based solutions to maximize the value of Atlassian investments, accelerating adoption and reducing implementation risk within the Atlassian System of Work. The Services Solutions Advocate (SSA), the commercial specialist, drives demand for professional services by partnering with customers to shape the right services engagement and delivery model, including when to engage the Atlassian Partner Ecosystem. As a trusted advisor, the SSA collaborates with business and technical decision makers to identify customer priorities, navigate complex opportunities, and align services solutions with customer goals. The role involves generating and influencing the professional services pipeline, leading consultative discovery, guiding the services sales cycle from discovery through close, shaping customer engagements, and developing account-level strategies with Atlassian Sales to identify expansion opportunities. It also requires uniting cross-functional stakeholders across Atlassian Sales, Professional Services, Customer Success, and the Partner Ecosystem, and owning a services sales target through bookings, pipeline growth, forecast accuracy, and opportunity management.

DX is a fast-growing SaaS company headquartered in Salt Lake City that helps engineering leaders build high-performing, productive teams and collects millions of data points daily to power insights into developer productivity and experience. Its customers include Pinterest, GitHub, BNY, Xero, and many others, and the business has scaled profitably, tripling annual recurring revenue in recent years. DX recently closed on its acquisition by Atlassian, and joining Atlassian will expand resources, accelerate growth and R&D, and deliver greater impact to customers. This is a remote position based in the UK, and we cannot offer visa sponsorship; candidates must have the right to work in the UK. The role focuses on prospecting outbound and inbound leads, building relationships with software engineering leaders, partnering with account executives and marketing, representing DX at industry events, and it emphasizes ownership, mastery, and measurable impact with opportunities to level up skills and compensation.

DX is a fast-growing SaaS company headquartered in Salt Lake City that helps engineering leaders build high-performing, productive teams and collects data to provide insights into developer productivity, with customers including Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling annual recurring revenue in recent years, and was recently acquired by Atlassian to expand resources, accelerate growth and R&D, and deliver greater impact to customers. This is a remote position based in the UK, and the company cannot sponsor visas; candidates must have the right to work in the UK without sponsorship. DX values individual mastery and high-quality performance, acknowledging that outcomes depend on factors beyond control but prioritizing doing the job at the highest level. In the role, you will prospect outbound and inbound leads, create relationships and opportunities, deliver an extraordinary experience for software engineering leaders, learn personalized outreach and social selling, partner with account executives and marketing, onboard SDRs, and represent DX at industry events, with a focus on owning your work, leveling up your skills and compensation, and making a measurable impact on the company's success.

DX is a fast-growing SaaS company based in Salt Lake City that helps engineering leaders build high-performing teams, using millions of data points daily to provide insights into developer productivity for clients such as Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling its annual recurring revenue in recent years, and was acquired by Atlassian to broaden resources, growth, and R&D for greater customer impact. The role is remote but limited to candidates located in the UK, and no visa sponsorship is offered. DX emphasizes mastery and exceptional execution, prioritizing individuals who strive to be the best at their craft and can own their work without micromanagement. Responsibilities include prospecting inbound/outbound leads, building relationships with software engineering leaders, delivering an exceptional experience, learning personalized outreach and social selling, collaborating with AEs and marketing, onboarding SDRs, representing DX at events, with opportunities for rapid skill and pay growth and a measurable impact on the company's success.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, with this role open to applicants from the UK, Benelux, and Nordics. The role is Senior Enterprise Solution Sales Executive - Teamwork, Enterprise AI, reporting to the Regional Head of Solution Sales, aimed at driving adoption of the Teamwork Collection across large enterprise accounts in the UK, Benelux, and Nordics. The Teamwork Collection is an AI-powered suite (Jira, Confluence, Loom, Rovo) that connects goals, work, and knowledge, underpinned by the Teamwork Graph to give a unified, current view for people and AI. You will partner cross-functionally with AEs, SDRs, SEs, Strategic Partners, and CSMs to shape opportunities, lead executive-level AI transformation conversations, and feed insights back to product/engineering. You will own positioning and selling from discovery to proposal, manage the Salesforce pipeline, plan account strategy with AEs, keep stakeholders informed, and embody Atlassian’s team-first go-to-market culture.

Atlassian offers flexible work options and hires globally where it has a legal entity, and for this role they welcome applicants from the UK and the Netherlands. The position is Senior Enterprise Solution Sales Executive - Teamwork, Enterprise AI for the UK, Benelux, and Nordics, reporting to the Regional Head of Solution Sales for the Teamwork Collection. Atlassian’s Teamwork Collection is an AI-powered suite (Jira, Confluence, Loom, Rovo) that connects goals, work, and knowledge across teams, with AI teammates to accelerate decisions and unlock institutional knowledge at scale. The role involves partnering with Account Executives to lead a consultative sales approach for strategic enterprise customers, shaping opportunities, conducting executive-level conversations about transforming work with AI, and feeding competitive and product insights back to engineering. You’ll own how the Collection is positioned and sold, manage the Salesforce pipeline, plan account strategy with AEs, and keep stakeholders informed on progress and blockers, all while embracing Atlassian’s team-first go-to-market culture.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity; for this role, applicants from all regions of the UK and the Netherlands are welcome. The role is Senior Enterprise Solution Sales Executive - Teamwork, Enterprise AI, for the UK, Benelux, and Nordics, reporting to the Regional Head of Solution Sales for the Teamwork Collection. The Teamwork Collection is an AI-powered suite that includes Jira, Confluence, Loom, and Rovo, connecting goals, work and knowledge across teams with AI teammates to help speed decisions and scale institutional knowledge, used by 350,000+ organizations including KLM/Air France, Mercedes, and NatWest. You’ll lead a consultative sales strategy, shape opportunities, and drive executive-level conversations about how AI can transform work, while feeding customer insights back to product and engineering to improve the experience, and working cross-functionally with AEs, SDRs, SEs, Strategic Partners, and CSMs to uncover expansion opportunities. You’ll own how the Collection is positioned and sold from discovery through to proposal, manage the pipeline in Salesforce, plan account strategy with AEs, keep stakeholders informed on progress and blockers, and contribute to Atlassian’s team-first go-to-market culture.