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Atlassian aims to unleash the potential of every team and is investing heavily in Generative AI to accelerate how teams work, discover, and create. They’re hiring a Principal Machine Learning Systems Engineer (P60) to lead the technical direction of GenAI Products & Knowledge Innovations in the US, focusing on building and scaling systems that power enterprise knowledge, rapid prototyping, and applied research. The role involves designing scalable ML systems for training, fine-tuning, and serving LLMs and embeddings, plus building efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. It emphasizes enabling rapid prototyping and applied research by partnering with applied scientists to turn ideas into production-ready pipelines and by optimizing latency, throughput, and resource use for GenAI workloads. Collaboration across ML engineers, backend developers, and product teams is required to ship end-to-end innovations and establish the team as a world-class GenAI systems hub, with flexible work options and the ability to hire in any country where Atlassian has a legal entity.

Atlassian is investing in Generative AI and is seeking a Principal Machine Learning Systems Engineer (P60) to lead the technical directions of GenAI products and knowledge innovations in the US. The role focuses on building and scaling systems that power advanced GenAI products with enterprise knowledge, rapid prototyping, and applied research, bridging cutting-edge algorithms with reliable, high-performance infrastructure. Responsibilities include designing and building scalable ML systems for training, fine-tuning, and serving large language models and embeddings, and developing retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. It also emphasizes enabling rapid prototyping and applied research, partnering with scientists to create POC systems and evolve them into reliable, scalable services, while optimizing latency, throughput, and resource efficiency for GenAI workloads. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity, reflecting a global, distributed team and collaboration across ML engineers, backend developers, and product teams to ship end-to-end GenAI innovations.

At Atlassian, the company is investing deeply in Generative AI and seeking a Principal Machine Learning Systems Engineer (P60) in the US to lead GenAI Products & Knowledge Innovations and advance scalable systems for enterprise knowledge and rapid prototyping. The role involves architecting and implementing scalable ML systems for training, fine-tuning, and serving large language models and embeddings, plus building efficient retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. It also emphasizes enabling rapid prototyping and applied research by partnering with scientists to turn ideas into production-ready pipelines and optimizing latency, throughput, and resource efficiency. The engineer will collaborate across ML engineers, backend developers, and product teams to ship end-to-end innovations and contribute to deployment, monitoring, and evaluation best practices, helping to establish the team as a world-class GenAI systems hub. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country with a legal entity, enabling support for family and personal goals.

Atlassian supports flexible work locations and hires globally, with virtual interviews and onboarding as part of being a distributed-first company. Atlassian is seeking a Principal Machine Learning Scientist to join the Central AI team in Bellevue, WA. The Central AI organization builds the fundamental infrastructure, data pipelines, frameworks, models, and other capabilities to accelerate AI feature development across the company. Central AI is part of the Atlassian Intelligence program and aims to accelerate AI innovation, provide cohesive AI experiences, and lay the AI infrastructure for the future, while most AI work will be conducted by federated product teams. In this role, you’ll drive development of cutting-edge ML algorithms, train sophisticated models, collaborate with product, engineering, and analytics teams, design system and model architectures, conduct experiments and evaluations, and mentor other ML engineers to realize AI's potential across Atlassian's offerings.

Atlassian lets employees choose where to work—office, home, or a hybrid setup—and hires globally with virtual interviews and onboarding as part of being a distributed-first company. They are seeking a Principal Machine Learning Scientist for the Central AI team based in Bellevue, WA. The Central AI organization builds the core infrastructure, data pipelines, frameworks, and models to accelerate AI feature development and is part of the Atlassian Intelligence program to drive AI innovation and provide cohesive AI experiences, including shared capabilities like search and knowledge discovery. While most AI initiatives will be developed by federated product teams, Central AI provides the underlying infrastructure and common experiences to prevent silos and enable unified AI functionality across the company. The role involves designing system and model architectures, conducting experiments and evaluations, training advanced models, collaborating with product, engineering, and analytics teams, and mentoring junior ML engineers to realize AI's transformative potential across Atlassian's offerings.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity, giving teams more control over personal priorities. The role is ML System Engineer on the AI & ML Platform’s Inference team. You will design and optimize large-scale model serving systems end-to-end, spanning distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable infrastructure for model serving, optimizing latency and throughput under real production workloads, and building high-concurrency serving systems that handle billions of requests while benchmarking, fine-tuning, and accelerating inference engines. You will create robust CI/CD pipelines for seamless model deployment and inference engine updates, and partner with senior ML engineers to fine-tune and deploy open-source LLMs.

Atlassian supports flexible work locations, letting employees choose between office, home, or a hybrid arrangement to better support family and personal goals. They can hire people in any country where they have a legal entity. The role is ML System Engineer on the AI & ML Platform's Inference team, responsible for designing and optimizing large-scale model serving systems end-to-end. Responsibilities include architecting scalable distributed infrastructure (load balancing, auto-scaling, batch scheduling, global KV cache), optimizing latency and throughput under real production workloads, building reliable, high-concurrency serving systems for billions of requests, benchmarking and accelerating inference engines, and creating robust CI/CD for model deployment and inference engine updates. The role also involves partnering with senior ML engineers to fine-tune and deploy open-source LLMs.

Atlassian offers flexible work options (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 from a work-management tool into an intelligent partner powered by Teamwork Graph, Rovo, and agent tooling. The Jira Design team is looking for a Lead Product Designer who will report to a Senior Design Manager and lead strategic work across Jira with a multinational team in Australia and North America. In this role you’ll design end-to-end experiences, modernize Jira’s design language, drive AI-enabled workflows, define success metrics, and collaborate with engineers, product managers, researchers, and other teams to deliver cohesive product experiences. Candidates should have 7+ years of product design experience, strong craft, AI-native design experience, end-to-end UX skills, customer research, storytelling, stakeholder management, and the ability to drive impact across multiple teams and programs.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. - They’re seeking a Lead Product Designer to join the Growth Platform team to evolve Atlassian’s website into cohesive, AI-first end-to-end customer journeys. - The role involves setting strategy and leading design across modernization, user engagement, journey-led architecture, AI-powered experiences, and cross-functional collaboration to boost engagement and long-term value. - Candidates should have 10+ years of product design experience, exceptional craft, AI-first prototyping, journey-driven systems thinking, strategic vision, data-informed decision-making, and collaborative leadership. - Experience with high-traffic marketing sites, growth/experimentation, and operating across organizational boundaries is preferred.

Atlassian offers flexible work locations—office, home, or a hybrid—allowing hires in any country with a legal entity, and this role is located in PST. The company seeks a Credit and Collections Manager to lead the AMER region’s Credit and Collections function as a regional people manager, delivering reliable operations, strengthening controls, reducing risk, and supporting quote-to-cash priorities. Key duties include leading day-to-day operations, coaching the team, overseeing credit assessment, limits, monitoring, collections, disputes, and customer reviews, approving complex credit checks, using risk analytics to identify emerging risk, and partnering across Sales, Revenue, Accounting, IT, and other teams. Requirements include 7+ years in Accounts Receivable, Credit, Collections, or related areas, 3+ years of people leadership, strong knowledge of credit management and controls, and excellent communication and cross-functional collaboration skills; preferred qualifications include Oracle Fusion, SAP/NetSuite, broader quote-to-cash experience, automation experience, and a CPA. The role sits within the Atlassian Accounting Team and emphasizes supporting audit processes and continuous improvement while upholding Atlassian’s commitment to diversity and inclusion.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. They are hiring a Technical Head of Engineering to lead Atlassian’s Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences, capable of being an IC or a people manager. The Agent Platform Team builds foundational capabilities to make AI agents useful, secure, and scalable, connected to Rovo, Teamwork Graph, Jira agent workflows, and other products, enabling agentic experiences that reason over work context and orchestrate tools. The role exists because Atlassian is investing heavily in AI-native and agentic experiences, requiring ML and systems depth to translate broad AI strategy into practical platform capabilities. Key responsibilities include setting technical direction with stakeholders, leading and developing a team (including hiring and performance management), writing production code, guiding decisions on ML systems and production operations, establishing an operating cadence, balancing speed with quality, security, and cost efficiency, aligning roadmaps across teams, and fostering an inclusive, high-accountability culture.

Atlassian offers flexible work options—office, remote, or a mix—and can hire people in any country where it has a legal entity, helping employees support family and personal goals. They are hiring a Technical Head of Engineering to lead the Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI, and the role can be hands-on as an individual contributor or a manager. The Agent Platform Team builds foundational capabilities to make AI agents useful, reliable, secure, and scalable across Atlassian, connected to Rovo, Teamwork Graph, Jira agent workflows, and other products, enabling agentic experiences that reason over work context and orchestrate across tools. The role exists because Atlassian is investing heavily in AI-native experiences and needs a leader who can set direction, build talent, and create an execution rhythm across fast-moving AI platform work, with ML and systems depth to discuss architecture, evaluation, quality, reliability, and tradeoffs. Key responsibilities include setting technical and execution direction with stakeholders, leading and developing a team (hiring, performance management, and career growth), writing production code, guiding decisions across ML systems, agent workflows, context retrieval, evaluation, observability, and production operations, creating an operating cadence, ensuring speed is balanced with trust, security, privacy, and cost efficiency, and partnering with leaders across Rovo and product/platform teams to align roadmaps and foster an inclusive, high-accountability culture.

Atlassian offers flexible work options (office, from home, or hybrid) and hires people in any country where they have a legal entity. They are hiring a Technical Head of Engineering to lead work on Atlassian’s Agent Platform, blending people-management responsibilities with deep technical leadership across applied ML, agentic systems, platform engineering, and production-quality AI experiences. The Agent Platform Team builds foundational capabilities to make AI agents useful, secure, scalable, and integrates with Rovo, Teamwork Graph, Jira agent workflows, and other Atlassian products to enable agentic experiences that reason over work context and orchestrate across tools. The role exists because Atlassian is investing heavily in AI-native experiences and needs a leader who can provide direction, build talent, and translate AI strategy into practical platform capabilities with ML and systems depth beyond just people management. Key responsibilities include setting technical direction, leading and developing a team (hiring, performance, career growth), writing production code, guiding decisions across ML systems and agent workflows, establishing an operating cadence, and aligning roadmaps with other teams to balance speed with security, privacy, cost efficiency, and operational readiness.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. They are seeking a Senior Solutions Engineer, Strategic for their strategic business, who will be a product expert in the sales cycle and help solve customers’ toughest problems to close enterprise deals. The role involves partnering with sales and larger account teams on transformation deals in multi-million dollar global accounts, engaging C-level executives, conducting discovery, mapping business needs to Atlassian products, and identifying cross-product opportunities with value-driven demonstrations. You’ll lead the customer’s technical needs in the sales process, forge strong partnerships with aligned account executives, coordinate cross-functional teams, and document product feedback and competitive intelligence for internal teams. Compensation is described as equitable and competitive, with location pay zones and ranges (and a link to pay zones), and potential benefits, bonuses, commissions, and equity depending on location.

Atlassian offers flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity. They are seeking a Senior Solutions Engineer, Strategic focused on being a product expert during the sales cycle to solve customers' hardest business problems and help close enterprise deals. The role involves partnering with sales and executives in large, multi-million-dollar accounts, conducting customer discovery, mapping business problems to Atlassian solutions, and leading value-based demonstrations. It also requires forging strong cross-functional partnerships, tracking feedback and competitive intelligence, helping the product team, and continuously refining pre-sales knowledge and processes. In the United States, the role offers base pay ranges by geographic zone (Zone A $168,300-$219,725; Zone B $151,271-$197,493; Zone C $139,506-$182,132) with potential benefits, bonuses, commissions, and equity, and candidates should confirm their zone with the recruiter.

- Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where they have a legal entity, empowering employees to balance family and personal goals. - Atlassian seeks a Senior Solutions Engineer, Strategic who will be a product expert in the sales cycle, solve customers' hardest business problems with Atlassian products, and help close enterprise deals. - The role involves partnering with sales teams on transformation deals in large global accounts, engaging with C-level executives, conducting discovery, mapping needs to Atlassian solutions, and identifying cross-product opportunities. - Responsibilities include leading value-based demonstrations, guiding customers' technical needs to gain buy-in, forging strong partnerships with account executives, coordinating cross-functional support, and feeding product feedback to management. - Compensation is designed to be equitable and competitive with three US geographic pay zones, offering base pay ranges (Zone A: $168,300–$219,725; Zone B: $151,271–$197,493; Zone C: $139,506–$182,132) plus benefits, bonuses, commissions, and equity, with zone confirmation through a recruiter.

Zendesk is seeking an energetic inbound Sales Development Representative to call and qualify leads (trial, demo, contact form), create opportunities in Salesforce, and schedule quality meetings with Account Executives while promoting a fun, collaborative team environment. Responsibilities include promptly following up on expressed interest, conducting qualification calls to identify prospect needs, and achieving or exceeding weekly/monthly metrics and quota. Requirements include active listening, the ability to gather customer requirements and map them to Zendesk solutions, strong verbal and written communication, multitasking and time management, and a willingness to work in a fast-paced, high-growth environment; a bachelor’s degree and transferable sales or internship experience are desired, along with demonstrated success in meeting monthly targets. The US hourly OTE ranges from $32.69 to $49.04 with a 70/30 base/commission split, and the role may be eligible for bonuses or benefits; it is a hybrid position with some in-office presence, with the schedule determined by the hiring manager. Zendesk is an equal opportunity employer committed to diversity, equity, and inclusion; AI may be used to screen applicants, and accommodations for disabilities are available—candidates can request accommodations via the provided email.

Zendesk is hiring a Senior Manager, Growth Analytics to help Product Development drive growth in a product-led motion by leading analytics across the customer journey from acquisition to expansion. The role blends hands-on analysis with strategic leadership, guiding a team of growth analysts and partnering with PLG Product Managers and Engineers to define questions, hypotheses, goals, and success metrics. Responsibilities include establishing PLG funnel measurement, identifying friction and opportunities, designing measurement plans and experiments, and delivering self-service dashboards and reusable analytics assets. Candidates should have substantial experience in product or growth analytics within SaaS, strong SQL and Python/R skills, experience with modern data platforms and instrumentation, and excellent communication to translate insights for technical and non-technical audiences. Zendesk notes a hybrid work model, a commitment to DEI, and that AI may be used in screening applications, with US salary range $172,000–$258,000 plus potential bonuses and benefits.

Zendesk seeks a strategic Chief of Staff to partner with the Chief People Officer and translate priorities into a clear People strategy, portfolio, operating rhythm, and communications. The role leads portfolio management across People initiatives, budgets with Finance, board and executive materials, leadership offsites, all-hands planning, and high-priority confidential projects for the CPO. Basic qualifications include 10+ years in business strategy, operations, or related fields, 4+ years partnering with C-suite in a Chief of Staff or equivalent role, experience with budgeting and forecasting, strong executive communication, the ability to influence without formal authority, and comfort using AI-enabled planning tools. Preferred qualifications include experience supporting a CHRO in global technology or SaaS, in large multi-region organizations undergoing growth or transformation, and familiarity with planning, analytics, and portfolio management tools to improve transparency and decision making. The role offers a US base salary range of 185,000 to 277,000 dollars plus potential bonus and benefits, with Zendesk’s hybrid work model, commitment to diversity, equity, and inclusion, and information on AI screening and accommodations for applicants.

Sentry helps developers fix errors and performance issues before users notice, and is trusted by 200,000+ organizations as today’s application monitoring standard while building an AI-native future. The role is Manager, Design Engineering for Scraps, leading a team of designers and front-end engineers building the infrastructure that powers UI development, at the intersection of design, engineering, and AI tooling. You will manage and grow the team, own the strategic roadmap, help maintain UI quality, keep design tokens and component parity in sync from Figma to production, stay hands-on building components and infrastructure, and drive adoption through documentation and contribution workflows. Qualifications include 3+ years in a full-time design system or design engineering team, 2+ years of people management, strong visual and interaction design, deep fluency in React, TypeScript, CSS, and the DOM, familiarity with Figma design systems tooling, and a base salary range of $200,000–$270,000 with benefits. Sentry is an open-source company committed to equal opportunity, inclusive culture, accommodations for disabilities, and an Applicant Privacy Policy.

Atlassian offers flexible work arrangements—office, remote, or hybrid—with hiring in any country where we have a legal entity to support personal goals and family needs. You'll drive large, complex projects autonomously from technical design to launch. You will tackle complex architectural challenges, apply standards, and start using them on new projects. You'll lead code reviews and documentation, handle high-risk bug fixes, and model thorough, meaningful reviews while partnering across engineering teams on company-wide initiatives spanning multiple projects. You'll transfer your depth of knowledge from your current language to excel as a Java developer and mentor junior team members.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity, inviting you to shape the future of AI at scale. The role is Senior Principal, AI Product Management (IC) within the Atlassian Teamwork Collection, which combines Jira, Confluence, Loom, and Rovo into an AI-enhanced, integrated suite for cross-functional teamwork. You will own the end-to-end AI experience strategy and roadmaps, act as an AI leader, lead cross-functional teams, accelerate AI adoption, drive alignment across products, define success metrics, and champion customer feedback. You will mentor others, stay ahead of industry trends, and communicate effectively with stakeholders, including executives, to secure alignment and excitement for AI initiatives. The ideal candidate has 10+ years of product management experience with a focus on AI/ML, a proven ability to lead diverse teams, deep AI knowledge, excellent communication and UX instincts, and thrives in fast-paced environments with ambiguity.

- Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. - The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines to power GenAI products at Atlassian. - They will use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. - The role provides the opportunity to lead other engineers on projects from technical design to launch. - They will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian allows employees to choose where they work—office, home, or a mix—and hires in any country where there is a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering Atlassian's GenAI products. You will apply your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges. You will have the opportunity to lead other engineers on projects from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

At Atlassian, employees can work in an office, from home, or a combination, giving them more control over family, personal goals, and priorities. They hire people in any country where they have a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first company. As a Senior ML System Engineer in the Rovo GenAI Platform team, you will build and maintain the core infrastructure that lets ML engineers and data scientists develop, train, evaluate, deploy, and operate ML models and pipelines to power Atlassian's GenAI products. You will use your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges, with the opportunity to lead other engineers from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassians can choose where to work—office, home, or a mix—and interviews and onboarding are conducted virtually as part of a distributed-first approach, with hiring open in any country where Atlassian has a legal entity. The Senior ML System Engineer role sits in the Rovo GenAI Platform team and involves building and maintaining the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines and power Atlassian’s GenAI products. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. There is an opportunity to lead other engineers on involved projects from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity, to support employees' family and personal priorities. They’re looking for a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, grow active users, and provide forecasting for top-line metrics. The role spans the full end-to-end ML lifecycle, from problem definition and experimentation to production deployment and continuous improvement, with an emphasis on scalable, production-quality forecasting models. Responsibilities include designing system and model architectures, developing rigorous evaluation methods, building scalable ML infrastructure, collaborating with Growth, GTM, Product, Finance, and Sales, mentoring junior engineers, and explaining ML concepts clearly to technical and non-technical audiences. Interviews and onboarding are virtual as part of Atlassian’s distributed-first approach, and the candidate should translate complex problems into practical, high-impact solutions that balance quality, speed, and measurable business outcomes.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Confluence Cloud AI team builds and deploys ML solutions that drive revenue, grow the active user base, and provide forecasting for top-line metrics, handling the full ML lifecycle from problem definition to deployment and ongoing improvement. The Senior ML Engineer will focus on advanced ML algorithms and forecasting models, collaborating with Growth, GTM, Product, Finance, Sales, and engineers to deliver high-impact results. Responsibilities include end-to-end lifecycle management, data preparation, modeling, experimentation, evaluation, deployment, iteration, and designing scalable, production-ready architectures and infrastructure. The role also emphasizes clear communication to technical and non-technical audiences, mentorship of junior engineers, and balancing high-quality output with rapid iteration and measurable business outcomes.

Atlassian offers flexible work options (office, remote, or hybrid) with virtual interviews and onboarding, and the company can hire in any country where it has a legal entity. They are seeking a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, expand the active user base, and forecast top-line metrics. The role covers the full ML lifecycle—from problem definition and data preparation to modeling, experimentation, deployment, and iteration—with an emphasis on forecasting models and production-quality architectures. You will collaborate with teams across Growth, GTM, Product, Finance, and Sales, build scalable ML infrastructure, translate complex problems into practical solutions, and mentor junior ML engineers while explaining concepts to both technical and non-technical audiences. The position prioritizes high-quality output balanced with business practicality, rapid iteration, and measurable customer and business outcomes in a highly collaborative environment.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where the company has a legal entity. The Field Partnership & Insights team acts as a trusted operational partner to SSE leaders worldwide, driving revenue performance, operational rigor, and strategic insights across Strategic, Enterprise, and Mid-Market segments and geographies. Forecasting & pipeline management aims to continuously improve SSE forecasting, pipeline generation, and management, partnering with front-line managers and regional leaders to boost accountability, predictability, and forecast accuracy. Coverage, target & capacity planning supports annual and in-period planning for the global SSE org, including territory design, target splits, headcount planning, and capacity modeling, ensuring equitable coverage and alignment with growth, and assisting field leaders with headcount management per published policies. Sales process design & optimization and sales excellence & operational rhythm drive the adoption of SSE-specific sales practices to improve consistency and effectiveness, identify friction, lead initiatives to improve productivity, engagement tracking, and funnel metrics, and collaborate with Central Operations, Analytics, Sales Acceleration & Systems, and Sales Enablement to standardize processes, support QBRs, SPIFF tracking, performance reporting, and rhythm-of-business cadences.

Atlassian offers flexible work options—office, home, or a mix—to give employees control over personal priorities. They can hire people in any country where Atlassian has a legal entity. In this role, you will regularly tackle the largest and most complex problems on the team, from technical design to launch, and provide technical leadership on high-impact projects. You will routinely address complex architecture challenges, apply architectural standards, and propagate them to new projects, while championing a high technical standard across the organization. You will mentor and grow the next generation of technical leaders, transfer your depth of knowledge, share best practices, and drive company-wide engineering initiatives.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a combination to support personal goals and priorities. The company hires people in any country where it has a legal entity. The role involves tackling large, complex problems from technical design to launch and providing technical leadership on high-impact projects. It requires addressing complex architecture challenges, applying architectural standards, and championing high technical standards across the organization. The role also includes partnering with engineering teams on company-wide initiatives, sharing best practices to raise engineering excellence, and mentoring the next generation of technical leaders at Atlassian.

Atlassian offers flexible work options, letting employees work in an office, from home, or a mix to support their priorities. The company hires people in any country where it has a legal entity. In this role, you will regularly tackle the largest and most complex problems from technical design to launch and provide technical leadership on high-impact projects. You will routinely handle complex architecture challenges, apply architectural standards, and promote them on new projects, acting as a champion for raising the technical bar. You will collaborate across engineering teams on company-wide initiatives, share deep knowledge and best practices to improve engineering excellence, and mentor the next generation of technical leaders at Atlassian.

- Atlassian supports flexible work options—office, remote, or hybrid—giving employees control to support family and personal goals. - The company hires in any country where it has a legal entity. - At the portfolio level, Atlassian sets strategic direction and drives a multi-year program across Security, Compliance, GRC, and Privacy, aligning company priorities with executive decisions. - They lead cross-functional delivery across Trust Engineering, Product, Platform, Legal, GRC, and IT, embedding secure-by-default engineering with automated security controls, AI-native SDLC, software supply chain defenses, and continuous vulnerability monitoring. - They enable regulated market access, turn ambiguity into clarity through decision forums, influence executive leadership with risk insights, establish scalable risk and compliance mechanisms, and measure impact with metrics on security posture, vulnerability reduction, audit readiness, and business value.

Atlassian offers flexible working options—office, remote, or hybrid—and hires globally wherever there is a legal entity, giving employees more control over family, personal goals, and priorities. DX is Atlassian's developer intelligence platform that helps engineering leaders understand how work gets done, improve developer experience, and make better decisions about productivity and AI by turning self-reported insights and system data into actionable signals. Design at DX is fast, hands-on, and collaborative, with designers partnering with Product and Engineering from problem definition through implementation, staying close to customers and GTM partners, contributing to production code, and participating in the broader Atlassian design community. The Principal Product Designer will lead DX's product design as an individual contributor, setting direction and quality for the DX design team and focusing on making complex engineering data easier to understand by organizing experiences around the questions different roles need to answer. Responsibilities include setting the end-to-end DX experience vision, shaping product strategy and backlog with leadership, translating data into persona- and jobs-to-be-done-based experiences, leading cross-functional research and iteration, using AI-native workflows and prototypes, guiding AI-driven changes to the product, defining experience metrics, establishing scalable patterns aligned with the Atlassian Design System, and mentoring designers.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, and is seeking a US-based Outbound Product Manager for Service Collection. - The OPM sits at the intersection of product strategy and the field (and is not a quota-carrying seller or a conventional PMM), turning the High Touch GTM plays into a repeatable product and competitive advantage across multiple functions. - The primary focus is Transformation & Compete (driving migration from fragmented or incumbent platforms to the Service Collection model) and Enterprise Trust & Compliance (embedding security, governance, residency, and reliability requirements into product strategy and customer proof). - Responsibilities include owning the operating system for priority plays, translating field signals into product strategy, leading cross-functional execution without formal authority, and building durable mechanisms such as playbooks, dashboards, and measurement systems. - Required qualifications include significant experience in relevant roles, strong communication and influence, and willingness to travel; preferred qualifications include service management or IT operations background, familiarity with security/compliance concepts, experience building field-to-product mechanisms, and success operating across distributed teams, all grounded in a customer-focused, evidence-led, strategic-but-operational mindset.

Atlassian lets employees choose where they work and hires in any country where they have a legal entity. Atlassian is building Service Collection and is hiring a US-based Outbound Product Manager to turn High Touch GTM plays into a repeatable product and competitive advantage, sitting at the intersection of product strategy and the field as a mini GM; this is not a quota-carrying seller and not a conventional product marketing role, and you will collaborate across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and executive leadership. The primary focus is Transformation & Compete—helping customers move from fragmented or incumbent platforms to a modern Service Collection operating model—and Enterprise Trust & Compliance—translating security, data governance, residency, reliability, and regulated-industry requirements into product strategy and proof. Responsibilities include owning the operating system for priority plays, turning field signals into product strategy, leading cross-functional execution without formal authority, and building durable mechanisms like playbooks, dashboards, and templates that scale beyond one person or account. Requirements include significant experience in enterprise-focused product or related roles, ability to transform ambiguity into executable strategy, strong communication and influence, travel willingness, with preferred background in service management, security/compliance concepts, and field-to-product mechanisms; and key personal attributes such as being evidence-led, commercially literate, customer-grounded, low ego, and a system builder.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever they have a legal entity. They are hiring a US-based Outbound Product Manager for Service Collection to turn High Touch go-to-market plays into a repeatable product and commercial advantage, working across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and executive leadership, and this is not a quota-carrying seller nor a conventional product marketing role. The role centers on Transformation & Compete and Enterprise Trust & Compliance, translating security, data governance, residency, reliability, and regulated-industry requirements into product strategy, roadmap influence, field readiness, and customer proof, acting as a mini general manager at the field-product boundary. Responsibilities include owning the operating system for priority plays with clear plans and cadence, turning field signals into actionable product strategy with evidence-backed briefs, leading cross-functional execution without formal authority, and building durable, scalable mechanisms like playbooks, templates, dashboards, and definitions of play health. Requirements include significant experience in relevant roles within B2B enterprise software, ability to convert ambiguous customer or market problems into executable strategy, knowledge of enterprise buying and compliance concepts, travel willingness, and attributes such as being evidence-led, commercially literate, technically credible, customer-grounded, low ego, ownership-minded, and a system builder.

Atlassian supports working from anywhere and hires globally where it has a legal entity. The Service Collection initiative aims to build a modern enterprise service management operating system, and they’re hiring a US-based Outbound Product Manager to turn High Touch GTM plays into a repeatable product and commercial advantage with cross-functional collaboration. The OPM role is not quota-carrying nor a conventional PMM; it sits at the intersection of product strategy and the field, acting as a mini GM who identifies enterprise patterns and converts customer and competitive evidence into product action. Key responsibilities include owning the operating system for priority plays, turning field signals into strategy, leading cross-functional execution without formal authority, and building durable mechanisms like playbooks and dashboards. Requirements include significant enterprise product or related experience, the ability to translate ambiguous problems into executable plans, strong communication and analytical judgment, influence without formal authority, willingness to travel, and preferred experience in service management, security/compliance, and field-to-product mechanisms.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. They are hiring a US-based Outbound Product Manager for Service Collection to turn their High Touch GTM plays into a repeatable product and commercial advantage; this role is not a quota-carrying seller and not a conventional product marketing role, but sits at the intersection of product strategy and field work. The OPM acts as a mini GM, owning the operating system for priority plays and turning enterprise field evidence into product action while building scalable mechanisms. Responsibilities include translating GTM strategy into operating plans and rhythms, turning customer and competitive signals into product strategy, and leading cross-functional execution with clear ownership and risk management. Required qualifications include significant enterprise B2B product experience, ability to turn ambiguous problems into strategy, understanding of enterprise software buying, and strong communication; preferred qualifications include service management or IT operations experience, security/compliance familiarity, and a track record building field-to-product mechanisms and operating across distributed teams.

Atlassian supports flexible work locations (office, home, or a mix) and hires globally wherever they have a legal entity. The opportunity is a US-based Outbound Product Manager for Service Collection, tasked with turning High Touch GTM plays into a repeatable product and commercial advantage while collaborating across many functions, with a focus on Transformation & Compete and Enterprise Trust & Compliance. The role acts as a mini GM, owning the operating system for priority plays, turning field evidence into product action, and building durable, scalable mechanisms rather than one-off efforts. Required qualifications include extensive experience in B2B enterprise product-related roles, the ability to convert ambiguous problems into executable strategy, and familiarity with enterprise buying, with additional emphasis on competitive displacement or trust/compliance topics and willingness to travel. Desired attributes cover strategic yet operational thinking, evidence-led decision making, commercial and technical credibility, customer focus, low ego and high ownership, and the ability to build systems across distributed teams.

Atlassian offers flexible work locations and hires in any country where it has a legal entity. They’re building Service Collection and are seeking a US-based Outbound Product Manager to convert High Touch GTM plays into a repeatable product and competitive advantage, collaborating across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and leadership. The OPM is not a quota-carrying seller or conventional product marketer; they act as a mini GM, turning customer and competitive evidence into product strategy and building scalable operating mechanisms for enterprise transformation, trust, and compliance. Responsibilities include owning the operating system for priority plays, turning field signals into strategy with executive-ready briefs, leading cross-functional execution without formal authority, and creating durable playbooks, dashboards, and measurement systems. Requirements include significant experience in relevant product or enterprise roles, the ability to convert ambiguity into executable plans, strong communication and influence skills, willingness to travel, and preferences for service management, security/compliance, field-to-product mechanisms, and distributed-team experience, all underpinned by evidence-led, customer-grounded, system-building attributes.

Atlassian offers flexible work locations and hires globally where they have a legal entity, aiming to unleash the potential of every team. Central to this mission is the Teamwork Graph (TWG), a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities, with the belief that personal working environment context is the next AI-powered frontier. The company is seeking a Principal Machine Learning Engineer (P60) to lead and design knowledge graph projects that build this personal context layer and scale it through Rovo Chat and the Teamwork Graph CLI. You’ll build Personal Work Context Graphs, design inference pipelines, schemas, permissions, and evaluation frameworks; integrate this context into Rovo Chat to improve relevance, groundedness, and efficiency; and develop context-selection strategies with the Rovo Chat team. You’ll deliver context through low-latency, permission-safe APIs and CLI, enable MCP-compatible agents to query a user’s work environment in real time, and provide technical leadership across Knowledge AI, Teamwork Graph, and product teams while mentoring engineers with a focus on privacy-safe AI and data quality.

Atlassian supports flexible work locations and hires people in any country where it has a legal entity, helping employees balance life goals with the company's mission to unleash the potential of every team. Central to that mission is the Teamwork Graph, a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities across Atlassian and connected tools. They believe the next AI-powered frontier is personal working environment context—knowing who you collaborate with, what you’re actively working on, and which documents matter now—so Rovo Chat, agents, and the TWG CLI can deliver precise, relevant, actionable answers. The Principal Machine Learning Engineer (P60) will lead and design knowledge graph projects to build this personal context layer and scale it through Rovo Chat and the Teamwork Graph CLI, including building Personal Work Context Graphs, inference pipelines, schemas, permissions, and evaluation frameworks. Responsibilities include integrating context into Rovo Chat, delivering low-latency, permission-safe APIs and CLI experiences, enabling MCP-compatible agents to query a user’s work environment in real time, and providing technical leadership across Knowledge AI, Teamwork Graph, and product teams with a focus on privacy-safe AI and data quality.

Atlassian supports flexible work locations and global hiring where they have a legal entity, enabling employees to balance family and personal goals. The company’s mission is to unleash the potential of every team, centered on the Teamwork Graph—a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities across Atlassian and connected tools. They see the next frontier of AI-powered teamwork as personal working environment context—knowing who you collaborate with, what you’re actively working on, and which documents matter now—to deliver precise, relevant answers via Rovo Chat and the TWG CLI. They’re seeking a Principal Machine Learning Engineer (P60) to design and lead knowledge graph projects that build this personal context layer and scale it through Rovo Chat and the TWG CLI, including building personal work context graphs, inference pipelines, schemas, permissions, and evaluation frameworks. The role includes integrating context into Rovo Chat, delivering low-latency, permission-safe graph APIs and CLI experiences, enabling MCP-compatible agents to query a user’s work environment in real time, and providing technical leadership across Knowledge AI, Teamwork Graph, and product teams with a focus on privacy-safe AI and data quality.

Atlassian supports flexible work arrangements, allowing collaboration from home or global offices, and hires in any country with a legal entity. The Intern program combines hands-on technical training, dedicated mentorship, professional growth opportunities, and strong social connections to launch students into a successful Atlassian career. The role is located in the Seattle or San Francisco hub, and you must work from one of those hubs to qualify; it is not eligible for F1/J1 students and does not offer work sponsorship. Atlassian builds AI/ML products, platforms, and infrastructure to address business, product, security, and engineering challenges, spanning governance and compliance, recommendation and optimization, and ML development platforms. You will work with mentors on a focused project to develop skills while delivering measurable improvements, building and evaluating AI/ML solutions, contributing to generative AI projects, translating business needs into technical work, and communicating results and next steps.

Atlassian offers flexible work locations and hires in any country where it has a legal entity, with distributed work details available at go.atlassian.com/distributed. The Internship program combines hands-on technical training, mentorship, and social connections to prepare students for an impactful career, and the role is located in the Seattle or San Francisco hub, requiring you to work from one of those hubs. The position is not eligible for F1 or J1 visas and does not provide work sponsorship. Atlassian builds AI/ML products, platforms, and infrastructure across governance, compliance, recommendation/optimization, and foundational ML, collaborating with Engineering, Product, Growth, Sales, Marketing, and Security. Interns will build and evaluate applied AI/ML solutions, contribute to ML and Generative AI projects, translate business needs into well-scoped technical projects, and clearly communicate findings, trade-offs, and next steps.

Atlassian offers flexible work arrangements, allowing remote, in-office, or hybrid setups, and hires in any country with a legal entity; details are available at go.atlassian.com/distributed. The Grad++ program provides hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful and impactful career at Atlassian, with the Seattle hub as the role location. Applicants must be able to work from the Seattle hub; the position is not eligible for F1 or J1 visas and does not offer any work sponsorship. Atlassian Data Scientists partner with product, engineering, and business teams across domains to turn large-scale data into actionable decisions, designing experiments, building statistical frameworks, and developing machine learning models. They influence product roadmaps by defining metrics, analyzing user behavior, translating business questions into analytical approaches, communicating results to broad audiences, and collaborating cross-functionally with product managers, engineers, designers, data engineers, and other data scientists.

GitLab is the intelligent orchestration platform for DevSecOps, helping organizations boost developer productivity, security, and digital transformation, with over 50 million users and broad Fortune 100 adoption, and it emphasizes AI as a core productivity multiplier in daily workflows. The Staff Security Governance Engineer is an individual contributor who owns GitLab's security policies, standards, and governance lifecycle, translating emerging regulations, including AI regulation, into clear requirements for engineering, product, and legal teams, with automation to keep governance lightweight. Responsibilities include the end-to-end policy lifecycle, exception management and attestations, regulatory alignment with frameworks such as EU AI Act, NIST AI RMF, ISO 42001, and mappings to SOC 2, ISO 27001/27017/27018/42001, FedRAMP, and NIST CSF, plus measurement, assurance, and audit support. Qualifications call for 10+ years in security governance/GRC with hands-on policy lifecycle ownership, cloud/SaaS/DevSecOps understanding, automation/AI experience, strong written and verbal communication, and, ideally, CISSP/CISM/CISA or similar. The role sits in Security Assurance within a small team of four under the Director, with a remote-first culture, US salary range of $168,000–$238,000 plus benefits and equity, and a commitment to equal opportunity and inclusive hiring.

GitLab presents itself as an intelligent orchestration platform for DevSecOps used by over 50 million users and many Fortune 100 companies, and its culture embraces AI as a core productivity multiplier. The Staff Forward Deployed Engineer role sits on the Forward Deployed Engineering team, working directly with strategic customers to diagnose adoption blockers, coordinate across multiple GitLab functions, and translate field learnings into durable product improvements and reusable patterns. You’ll contribute production-quality code, drive AI adoption patterns for the agentic SDLC and GitLab Duo with strategic customers, and create technical narratives and guidance to shape product direction and industry best practices. Ideal candidates have staff-level experience with complex production software, strong Ruby on Rails or Go skills, experience with AI-enabled software development and governance, and the ability to coordinate across teams without formal authority, with direct GitLab platform experience and relevant tech stack familiarity strongly preferred. GitLab supports remote, worldwide roles with a US base salary range of $220,000–$270,000 plus bonuses, equity, and benefits, and emphasizes equal opportunity and inclusive hiring practices.

GitLab is an AI-powered DevSecOps platform that helps organizations boost developer productivity, operational efficiency, security/compliance, and digital transformation, trusted by 50M+ users and many Fortune 100 companies, with a culture that embraces AI, values every voice, and supports global remote work. The Senior Solutions Architect is a trusted advisor who guides customers through their digital transformation across the software lifecycle, owning technical evaluations, shaping architectures, and serving as the voice of the customer to Product Management, Engineering, Sales, and Marketing. Responsibilities include leading technical discovery, demos, proofs of value, workshop design, and tender/audit components; collaborating with Account Executives to drive new customer acquisition and expansion; building relationships with technical and business stakeholders to enable GitLab adoption and advocacy. Required qualifications include experience in technical pre-sales or consulting, knowledge of the end-to-end SDLC and modern DevSecOps, hands-on GitLab or similar CI/CD tools, cloud deployment/security/operations knowledge, ability to lead proofs of concept/value and run workshops, strong technical communication, and fluency in Arabic. The role sits within the Solutions Architect team in GitLab’s Sales organization; GitLab offers remote global roles with benefits such as flexible PTO, equity, growth and development funds, parental leave, and a comprehensive equal-opportunity policy and recruitment privacy framework.

GitLab is an intelligent AI-powered DevSecOps platform used by over 50 million registered users and trusted by more than half of the Fortune 100, with AI as a core productivity multiplier and a high-performance, inclusive culture. The role of Regional Director, Sales for the US Financial Services vertical leads a team of Strategic Account Leaders to drive adoption of GitLab’s platform across banking, insurance, capital markets, and fintech, focusing on software sales, bookings, revenue, and strong customer relationships. Responsibilities include leading and coaching the team, territory and industry planning, accurate forecasting, pipeline management, cross-functional collaboration, recruiting and developing talent, and educating the team on GitLab’s product, pricing, AI positioning, and regulatory considerations (SOX, PCI DSS, FFIEC, DORA). Requirements include 7–10 years of progressive field sales/sales management in open source/SaaS, a proven track record selling to Fortune 500 and enterprise financial institutions, GTM experience in regulated industries, and strong relationship, negotiation, and communication skills, with willingness to travel as needed. The role is part of AMER Enterprise Sales, fully remote, with a US base salary range of $148,000–$248,400 plus up to 100% incentive pay, comprehensive benefits, and a commitment to equal opportunity and inclusive hiring across a global, remote workforce.

Sentry is a fast-growing application monitoring company trusted by over 200,000 organizations, building an AI-native future to help developers fix errors and performance issues before users notice. The Security Team protects customers, code, and everything in between, focusing on security reviews, threat modeling, vulnerability management, and embedding secure coding practices into the engineering culture. The Security Engineer will partner with product and engineering to influence feature design from the start, mature security review programs, manage vulnerability intake and remediation, and support bug bounty and responsible disclosure. Qualifications include 2-5 years of relevant experience, a CS degree or equivalent, hands-on experience with security reviews and SDLC, programming in Python/TypeScript/Go/Rust, and familiarity with distributed cloud technologies (AWS/GCP/Azure, Kubernetes, Docker, Terraform) plus strong communication skills. The role offers a base salary of $155,000-$200,000 (plus benefits), and Sentry emphasizes equal opportunity, inclusivity, accommodations for disabilities, and a culture of openness in an open-source company.

Sentry helps developers fix errors and performance issues quickly and is building an AI-native future, trusted by 200,000+ organizations. The Security Team secures customers, code, and everything in between, operating with high trust and autonomy to tackle hard security problems in a cross-functional, developer-focused culture. In this role you will maintain and own detection engineering systems, perform investigations and incident response, contribute to IAM, and research emerging threats across appsec, infra, governance, and privacy. Requirements include 2-5 years in detection/response or security engineering, a CS degree or equivalent, hands-on experience with alert triage, detection tuning, IAM, Python, and distributed cloud tech (AWS/GCP/Azure, Kubernetes, etc.), plus strong written and verbal communication; the company encourages applicants even if not all qualifications are met. Compensation ranges from $150,000 to $200,000 base, with benefits and equal opportunity; Sentry emphasizes diversity, accessibility, accommodations, and provides an applicant privacy policy.

Sentry is a software monitoring company trusted by over 200,000 organizations that helps developers fix errors and performance issues quickly while building an AI-native future. The Developer Experience team is hiring in San Francisco for a hybrid role based at HQ, seeking a hands-on builder with strong opinions on developer docs and a love for tinkering with new features. The role involves creating content, hosting and attending developer events, gathering user insights, and collaborating across Engineering, Product, Design, Sales Engineering, Marketing, and other teams to craft compelling product narratives and improve onboarding. Qualifications include 5+ years as a developer, 3+ years in advocacy or educational roles, multiple examples of technical educational content, active community involvement, and strong written and verbal communication, with a base salary range of $200,000–$240,000 plus standard benefits. Sentry emphasizes equal opportunity, diversity, and open-source values, offers accommodations for disabilities, and provides an applicant privacy policy to handle data.

Tempo serves over 30,000 customers, including about a third of Fortune 500 companies, offering integrated solutions for time management, resource planning, budgeting, roadmapping, program management, and reporting to help teams work more effectively from vision to value. Founded in 2007 as a time-tracking project, Tempo has become the #1 time management add-on for Jira and a trusted name in the Atlassian ecosystem, with a mission to help everyone work smarter with a heart. The role described is Associate Account Executive for SMBs, owning the full sales cycle from prospecting to closing and building lasting client relationships, while collaborating with Tempo teams to deliver tailored solutions and drive revenue growth. Responsibilities include identifying and engaging SMB prospects, delivering product demos, managing the sales pipeline and CRM, negotiating contracts, and ensuring smooth onboarding and customer success while staying informed about market trends. Requirements include 2+ years in sales or related roles with a track record of meeting quotas, CRM experience, and a bachelor’s in business or marketing preferred; Tempo offers a remote-first environment, unlimited vacation, comprehensive benefits, growth opportunities, an inclusive equal-opportunity workplace, and the ability to submit resumes in English.

SmartBear delivers application integrity for modern tech stacks with deep test automation, API lifecycle management, and observability, integrating across the SDLC and serving 32,000 organizations, including 75% of the largest financial institutions and brands like Adobe, JetBlue, and Microsoft, with open-source tools downloaded 100 million times per month and more than 30,000 GitHub stars. Its brands, including Swagger, TestComplete, Reflect, QMetry, and Zephyr, support customers and reflect SmartBear’s mission to improve the technology-driven world, while the company emphasizes ethical practices and diversity and is headquartered in Somerville, MA with offices worldwide. The Major Account Executive I, Reflect role drives net-new and expansion revenue across major enterprise accounts for Reflect, leading consultative, value-based sales and partnering with Sales Engineering, Marketing, Customer Success, and Product to accelerate adoption and growth. Responsibilities include owning a portfolio, managing the full sales cycle from prospecting to close, developing account plans, delivering product demonstrations and proofs-of-concept, maintaining a robust pipeline, and meeting revenue goals; candidates should have 5+ years of B2B SaaS sales experience, experience selling to QA/Engineering/DevOps and other tech stakeholders, MEDDICC familiarity, and strong CRM discipline. SmartBear promotes growth opportunities, an inclusive, hybrid work environment, a transparent pay culture, and a compensation package comprising base salary plus commission (approximately $150k total annual cash compensation), along with benefits, professional development, and a collaborative, goal-driven culture.

GitLab is an AI-enabled DevSecOps platform trusted by over 50 million users and many Fortune 100 companies, promoting AI as a core productivity multiplier within a remote, high-performance, inclusive culture. The Tech Operations Specialist role lives in Enablement & AI within the CRO organization and focuses on keeping the field’s AI tooling running, maintaining a tool inventory, building a use-case index, tracking adoption, handling access requests, and ensuring data hygiene. Key duties include consolidating tools, formalizing and tracking field use cases, producing simple adoption reports, drafting rollout communications, managing access provisioning, and maintaining AI data quality. Ideal candidates have early-to-mid level experience in enablement or operations, are organized and detail-oriented, demonstrate genuine interest in AI tooling, and can collaborate across enablement, IT, and field stakeholders while thriving in a process-driven, data-conscious, remote-work environment. Benefits include flexible PTO, ERGs, equity programs, parental leave, and home-office support, with the US base salary range listed at $95,200–$160,800 (location-based eligibility, and the role adheres to GitLab’s equal-opportunity and accommodation policies).

GitLab is an AI-powered DevSecOps orchestration platform used by more than 50 million registered users and over half of the Fortune 100, aimed at boosting developer productivity, security, and digital transformation. The company emphasizes AI as a core productivity multiplier across its culture, with every team member expected to incorporate AI into daily workflows and a high-performance, knowledge-sharing environment. The Strategic Account Executive for Seattle will drive enterprise growth by guiding large organizations through AI-powered DevSecOps transformations and building a strong enterprise portfolio within GitLab’s distributed, all-remote Enterprise Sales team. You’ll lead end-to-end deal cycles, orchestrate cross-functional teams, design strategic account plans, and deliver compelling proposals that communicate value, outcomes, and long-term partnership. Requirements include extensive B2B software sales to enterprise accounts (ideally in DevSecOps or adjacent SaaS), a Seattle-area network, consultative multi-stakeholder selling, travel as needed, with a US base salary range of $124,000–$186,600 plus up to 100% incentive pay, benefits, and equity; GitLab is an equal opportunity employer.

GitLab is an intelligent DevSecOps platform that increases developer productivity, operational efficiency, and security/compliance while accelerating digital transformation, trusted by more than 50 million users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier. The Strategic Account Executive for the Northeast role drives enterprise growth by helping influential organizations adopt, implement, and expand their use of GitLab’s AI-powered platform and generate measurable Net ARR through long-term expansion. Responsibilities include leading enterprise account strategy, coordinating cross-functional teams (solutions architects, customer success, sales development, channel & alliances, and others), shaping innovative AI-powered DevSecOps solutions, designing strategic account plans, and managing end-to-end customer journeys. Candidates should have experience selling complex B2B software to large enterprise accounts, especially in the Northeast, with strong C-suite relationships, regional market knowledge, and the ability to collaborate with partners and travel as needed while upholding GitLab values. The Enterprise Sales team is remote and collaborative; the listed US base salary range is $110,800–$186,600 with incentive pay up to 100% of base, plus benefits, equity, parental leave, and a commitment to equal opportunity employment and inclusive hiring practices.

GitLab is an intelligent orchestration platform for DevSecOps used by 50+ million users and many Fortune 100 companies, designed to boost developer productivity, operational efficiency, security, and digital transformation, with AI embedded as a core productivity multiplier across the team. The Strategic Account Executive for San Francisco will drive enterprise growth with a focus on AI-native companies, helping them adopt and expand GitLab’s AI-powered DevSecOps platform to achieve measurable Net ARR and long-term expansion. You’ll lead end-to-end customer journeys, orchestrate cross-functional teams to deliver AI-powered DevSecOps solutions, and develop strategic account plans to expand GitLab usage within high-growth AI companies. Candidates should have experience in complex B2B software sales to enterprise customers in San Francisco, familiarity with the AI/ML landscape, and the ability to build trusted C-level relationships and collaborate with partners, while traveling as needed and using GitLab and Salesforce daily. The role offers a remote US salary range of $124,000–$186,600 plus incentives up to 100% of base, plus benefits such as PTO, equity, parental leave, and growth opportunities, with GitLab as an equal-opportunity, inclusive employer.

GitLab is an intelligent orchestration platform for DevSecOps trusted by over 50 million users and more than half of the Fortune 100, with a culture that embraces AI as a core productivity multiplier. The role is Staff Product Manager for internal platform leadership within the Revenue Lifecycle & Finance Systems team, owning the multi-quarter roadmap for Quote-to-Cash and Finance Systems (Salesforce CPQ, Zuora Billing, Zuora Revenue, NetSuite, and the CDot metering platform) and translating business strategy into prioritized capabilities. Responsibilities include leading discovery and requirements, partnering with Finance, Revenue Operations, Deal Desk, and Legal, driving planning and trade-off decisions, owning UAT criteria, and mentoring the BSA team to adopt product-thinking and best practices. Requirements include 8+ years of product management experience with deep QTC domain expertise, experience managing multi-program delivery in a SOX-controlled environment, and sufficient technical fluency to discuss APIs and data models, with hands-on familiarity with the core platforms. GitLab offers remote US roles with a base salary range of $168,000–$235,600, plus benefits, equity, and inclusive, merit-based hiring policies, and encourages applicants from diverse backgrounds even if they don’t meet every qualification.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security, and digital transformation, trusted by over 50 million users and many Fortune 100 companies, with a culture that treats AI as a core productivity multiplier. The Staff Enterprise Architect reports to the Director of Enterprise Architecture and AI Intelligent Automation and focuses on designing and evolving internal systems across business, application, data, and technology lenses, treating AI as a standing consideration in every design, and leading through architecture without people management. Responsibilities span business architecture (mapping processes, identifying friction, redesigning end-to-end workflows and deciding AI/deterministic/human responsibilities), application architecture (embedded with Applications engineering, patterns for core platforms, governance, health checks, and platform roadmaps), data architecture (designing data flows and contracts with privacy and SOX controls), and technology architecture (defining platform patterns, security, cloud services, and collaboration with AI, Security, and Infrastructure) while delivering detailed designs and measuring debt and production issues. Candidates should have deep expertise across all four architecture domains, hands-on integration, automation, and applied AI experience (retrieval-augmented generation, tool calling, agent orchestration with Claude), as well as practical expertise with ERP/CRM/CPQ/billing, data modeling, API design, iPaaS, and cloud platforms, plus a track record of influence-driven architectural change. The Enterprise Architecture team collaborates cross-functionally to enable speed and quality; the listed US salary range is $168,000–$285,600 with benefits and remote eligibility, plus growth opportunities, equity, parental leave, and a strong commitment to equal opportunity and accommodations.

GitLab is an intelligent DevSecOps orchestration platform that helps organizations boost developer productivity, operational efficiency, security and compliance, and accelerate digital transformation, with AI embedded as a core productivity multiplier. The Public Sector Solutions Architect will be a trusted advisor to US government customers, leading technical evaluation, proofs of concept and value, and linking GitLab’s capabilities to measurable mission outcomes while coordinating with sales and other teams. Key responsibilities include engaging with customers (onsite and remote), shaping account strategies, owning POC/POV design and delivery, creating Customer Success Plans, building stakeholder relationships, advocating for customer feedback internally, and conducting Value Stream Assessments. The role requires a background in technical pre-sales or IT (preferably with US public sector or federal customers), hands-on experience with GitLab and modern software practices (CI/CD, DevSecOps), cloud experience in regulated environments, and strong communication skills; the team is a distributed Solutions Architect group that shares knowledge through handbook-first practices. GitLab offers benefits such as flexible PTO, equity plans, growth funds, parental leave, remote-friendly hiring with location considerations, and a US salary range of $103,650–$197,550, along with a commitment to equal opportunity and accommodations for applicants.

GitLab positions itself as an intelligent DevSecOps orchestration platform that boosts developer productivity, efficiency, security, and digital transformation, trusted by 50 million users and many Fortune 100 companies, all within a culture that embraces AI and values every voice. The Public Sector Solutions Architect is a trusted advisor to U.S. government customers, responsible for the technical evaluation and validation of GitLab’s Enterprise Edition, guiding proofs of concept and value, and connecting GitLab’s capabilities to measurable business and mission outcomes. In this role you’ll engage with public sector customers, shape account strategies, own POC/POV delivery, develop Customer Success Plans, build stakeholder relationships, and advocate for customers internally to influence product and messaging. Applicants should have a background in technical pre-sales or IT with federal experience, hands-on GitLab experience, familiarity with CI/CD, DevSecOps, and cloud in regulated environments, and the ability to tie technical solutions to business outcomes, along with strong communication and learning orientation; GitLab notes not all requirements must be met and encourages diverse applicants. The role is part of GitLab’s distributed Solutions Architect team that uses handbook-first practices, with remote work and some location-based eligibility, and the company offers benefits such as flexible PTO, equity, parental leave, growth funds, and a commitment to equal opportunity and accommodation.

GitLab is an intelligent DevSecOps platform that aims to boost developer productivity, security, and digital transformation, guided by an AI-enabled, high-performance culture and values-driven approach. The role of Manager of Public Sector Solutions Architects leads a distributed team of solution architects to connect GitLab’s platform to public sector customers’ missions, with cross-functional collaboration and customer-facing leadership; US citizenship is required. Key duties include leading high-impact public sector initiatives, hiring and coaching the team, guiding technical evaluations, collaborating with regional sales and other departments, improving execution practices, communicating GitLab’s vision, tracking performance, and serving as a Solutions Architect on select opportunities. Qualifications require 3-5 years of public sector leadership with team accountability, experience in technical pre-sales or a customer-facing design role, knowledge of the software delivery lifecycle and cloud, mentoring ability, cross-functional collaboration, and familiarity with regulated environments. The team is distributed, the US base salary range is $183,200–$308,400 with up to 100% incentive pay, plus benefits and equity opportunities, and GitLab is an equal opportunity employer with comprehensive privacy, accommodation, and policy protections.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation, trusted by over 50 million users and more than half of the Fortune 100, with AI as a core productivity multiplier. The culture emphasizes high performance and values, with AI embedded in daily workflows and a focus on co-creating the future of software development. The Strategic Account Executive role in California focuses on enterprise growth, guiding top organizations to adopt and expand GitLab’s AI-powered DevSecOps platform and driving pipeline to Net ARR and long-term expansion. You’ll lead end-to-end customer journeys, craft strategic account plans, orchestrate cross-functional teams, and build trusted C-level relationships within California enterprise accounts, bringing experience in complex B2B software sales and the ability to travel as needed. GitLab is an equal opportunity, remote-friendly employer offering a US salary range of $114,800—$172,200 plus incentive pay, with benefits such as flexible PTO, equity, parental leave, and growth opportunities, and encourages applicants from diverse backgrounds.

GitLab is an intelligent orchestration platform for DevSecOps that emphasizes AI as a core productivity multiplier and supports a remote, values-driven culture with 50M+ registered users and trust from many Fortune 100 companies. The role is Customer Success Operations Manager, reporting to the Senior Manager of Sales & CX Operations, working with CS leadership, Revenue Strategy & Operations, Finance, and Sales in GitLab’s all-remote environment (with some roles possibly having location-based eligibility). You’ll own core CS operational cadences such as pipeline and renewal reviews, customer health reporting, and book of business management, translate ambiguous business questions into clear problems, and drive solutions through processes, reporting, or systems changes while partnering with Revenue Technology and Revenue Analytics and aligning with cross-functional teams. Requirements include 4+ years in Sales Operations, Revenue Operations, consulting, or similar analytical roles, plus strong problem-solving, execution bias, systems thinking, cross-functional collaboration, curiosity, and comfort in a scaling environment where not everything is defined. Benefits include PTO, ERGs, equity/employee stock purchase plan, growth fund, parental leave, and home office support, with a US base salary range of $104,800–$176,400 and incentive pay up to 100% of base for sales roles; GitLab is an equal opportunity employer with recruitment privacy, location-based considerations, and accommodations on request.

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 many Fortune 100 companies trusting GitLab. The company embeds AI as a core productivity multiplier and expects all team members to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. The role of Senior Backend Engineer, Performance Enablement, aims to make performance testing and analysis easy for engineering teams by building platforms, tooling, and AI-assisted workflows, shifting to a self-service model. Responsibilities include building reusable backend platforms for performance testing, enabling modular teams to run tests in their CI, and creating documentation, templates, and guidance to expand self-service adoption. Requirements include experience with backend or platform software, internal developer tooling, AI across the software lifecycle, performance engineering, and cloud infrastructure, with the role housed in Performance Enablement within Platform Enablement, remote worldwide, and a US salary range of $156,800–$235,200 plus benefits.

GitLab is an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security, and digital transformation, trusted by over 50 million users and more than 50% of the Fortune 100, with AI embedded as a core productivity multiplier across the organization. The Senior AI Engineer role, reporting to the Director of Enterprise AI, is a hands-on technical leader responsible for delivering internal AI-powered solutions end-to-end, with an initial focus on Sales, Marketing, and Customer Support. Responsibilities include diagnosing business problems, validating AI fit, designing and shipping rapid AI prototypes, integrating AI into existing systems, acting as Customer Zero, and defining success via business and flow metrics, ROI, and measurable outcomes. Required capabilities cover deep AI/LLM technical depth, systems thinking, competent coding, REST/GraphQL and integration patterns, model selection and cost-performance trade-offs, AI safety and risk awareness, and familiarity with enterprise data and workflows; preferred background includes experience with the GitLab platform, consulting or customer-facing roles, and low-code/no-code orchestration tools. You’ll join the all-remote Enterprise Technology & AI team, with a United States base salary range of $108,400–$129,600, plus benefits and potential incentive pay for sales roles, and GitLab’s commitment to equal opportunity and merit-based, globally remote hiring.

GitLab is an intelligent DevSecOps orchestration platform trusted by over 50 million users and more than half of the Fortune 100, emphasizing AI as a core productivity multiplier and fostering a high-performance, inclusive culture. The Strategic Account Executive role targets U.S. Federal Civilian agencies, aligning GitLab’s AI-powered platform with priorities such as secure software delivery, CI/CD, software supply chain security, FedRAMP authorization, agentic AI adoption, and infrastructure modernization in regulated environments. Responsibilities include owning a strategic book of business, building and executing account plans, leading pre- and post-sales activities, driving pipeline and forecast accuracy, navigating federal procurement, and translating customer needs into consultative proposals while feeding product ideas back to the team. Requirements include experience selling to U.S. Federal Civilian agencies, ability to manage large complex opportunities and stakeholder networks, strong consultative selling and executive relationship skills, familiarity with DevSecOps and FedRAMP, and the ability to articulate AI value in the public sector, aligned with GitLab’s values. The role is part of the AMER Public Sector Enterprise team, all-remote, with a US salary range of $122,000–$205,200 plus benefits such as PTO, equity, growth fund, parental leave, and a commitment to equal opportunity and diversity.

GitLab is an AI-powered DevSecOps platform that boosts developer productivity, security, and digital transformation, trusted by millions and Fortune 100 companies, with a culture that embeds AI and emphasizes collaboration. The role is Strategic Account Leader on the Public Sector Team, focusing on Department of War agencies to modernize software development and security, aligning with CI/CD automation, secure practices, and infrastructure modernization, and serving as the primary contact for strategic and large prospects. You’ll build and execute multi-year account plans, navigate complex procurement cycles, own your book of business from pipeline to close and expansion, and collaborate with pre-sales, post-sales, success, and channel partners to deliver outcomes. You’ll bring experience selling technology to Department of War agencies, knowledge of the software development lifecycle and compliance, a consultative approach, and strong communication to manage major accounts and coordinate with integrators and internal teams. The Public Sector Team is distributed and focuses on procurement, compliance, and modernization; the US base salary range is $122,000–$205,200 with up to 100% incentive pay, remote eligibility, and comprehensive benefits, and GitLab is an equal opportunity employer that provides accommodations as needed.

GitLab describes itself as an AI-powered DevSecOps orchestration platform trusted by over 50 million users and many Fortune 100 companies, with AI embedded as a core productivity multiplier in its culture. The Enablement & AI organization supports revenue teams with content, tools, training, and scalable programs across Sales, Customer Success, Solutions Architecture, Partnerships, Product, Marketing, and Operations, with a Public Sector role reporting to the Vice President. The role will develop and lead sales enablement programs for Public Sector (Federal, State, Local, Education), tailoring content to procurement cycles and building onboarding, leadership development, and compliance-focused curricula for SLED markets. Candidates should have progressive SaaS or software sales enablement experience, ideally in DevOps/Open Source, with Public Sector/Federal exposure, knowledge of procurement and compliance (e.g., FedRAMP), and strong communication and collaboration skills in a fast-paced environment. GitLab offers flexible PTO, equity, a Growth and Development Fund, parental leave, and remote worldwide roles with a US salary range of $139,000–$220,000, and it emphasizes equal opportunity and privacy protections.

GitLab presents itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security, and digital transformation, trusted by over 50 million users and more than half of the Fortune 100. The Migration Engineer for GitLab Dedicated partners with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated, using GitLab Geo to replicate data and move customers to fully managed, isolated environments with minimal disruption. Key responsibilities include leading migrations from assessment through cutover and validation, designing network connectivity within GitLab Dedicated constraints, applying infrastructure-as-code practices, and improving tooling and runbooks while sharing field insights with Product and Engineering. Requirements include experience with customer-facing migrations or deployments, proficiency with GitLab and source control, familiarity with IaC tools (Terraform, Ansible, etc.), hands-on Kubernetes in production, cloud provider experience (AWS, GCP, or Azure), and programming language familiarity (Go, Python, or Ruby), with GitLab Geo experience being helpful. The role sits within GitLab's Dedicated Infrastructure team, operates remotely and largely asynchronously, with a US-based salary range of $126,400–$213,600 plus benefits and equity, and GitLab emphasizes equal opportunity employment and inclusive hiring practices.

GitLab presents itself as an intelligent DevSecOps orchestration platform trusted by 50+ million users and Fortune 100 companies, with AI as a core productivity multiplier and a culture that values every voice. The role is Manager, Solutions Architects for the Enterprise team in the San Francisco Bay Area, leading a distributed team of intermediate and senior Solutions Architects serving enterprise customers in the West to validate GitLab Enterprise Edition and drive platform adoption. Responsibilities include hiring and developing the team, coaching and guiding customer engagements from discovery through adoption, ensuring high-quality technical evaluations, and collaborating with Sales, Engineering, Product Management, and Marketing while tracking KPIs. Requirements include experience mentoring technical teams, enterprise pre-sales experience, strong presentation and cross-functional collaboration skills, knowledge of the SDLC/CI/CD and cloud concepts, and willingness to travel; the team operates remotely across North America with a handbook-first approach. The US base salary range is $154,200–$231,300 with up to 100% targeted incentive pay, along with benefits such as flexible PTO, equity, parental leave, and GitLab’s commitment to equal opportunity and accommodations for disabilities.

GitLab describes itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, and security/compliance while accelerating digital transformation, with AI integrated as a core productivity multiplier and a culture that values every voice. The role advertised is SEC Manager on GitLab’s Accounting team, owning end-to-end external financial reporting (SEC filings like 10-K, 10-Q, 8-K, S-1) and managing the quarterly and annual reporting calendar across Accounting, Legal, FP&A, and Investor Relations from the Americas. Key duties include leading earnings releases, managing disclosure checklists and XBRL reviews, driving automation and standardization of SEC processes, preparing journal entries/reconciliations and earnings-per-share calculations, and ensuring GAAP and SOX compliance. Qualifications include a bachelor’s degree in Accounting, CPA preferred, experience owning SEC deliverables in public company or public accounting settings, strong project management and analytical skills, clear written/verbal communication, and familiarity with Workiva Wdesk and NetSuite preferred. GitLab offers remote, globally inclusive work with benefits such as flexible PTO, equity plan, parental leave, and growth opportunities; the US base salary range is $139,000–$235,000, and GitLab is an equal opportunity employer that welcomes applicants with varying levels of experience, noting that many successful candidates may not meet every requirement.

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 over half of the Fortune 100 trusting GitLab to ship better, more secure software faster. The same AI-driven principles built into GitLab’s products are reflected in how the team works, with AI embraced as a core productivity multiplier and all team members encouraged to incorporate AI into daily workflows. The Internal Events Lead role, within the People Communications and Engagement function, designs and delivers internal events that strengthen connection across a fully remote, global workforce, including company-wide assemblies, AMA sessions, Company Kick-Off, async virtual gatherings, and occasional in-person summits. Responsibilities include owning the full event lifecycle, building scalable, inclusive experiences across time zones, partnering with executives and cross-functional teams, managing vendors and budgets, producing team member stories, measuring success, and exploring AI-powered event technologies. GitLab offers benefits such as Flexible PTO, ERGs, equity/Employee Stock Purchase Plan, growth funds, parental leave, and home office support, with a United States salary range of $139,000–$235,000; the company hires remotely worldwide with location-based eligibility and is an equal opportunity employer committed to non-discrimination and privacy protections.

GitLab markets itself as an intelligent orchestration platform for DevSecOps that boosts developer productivity, operational efficiency, security, and digital transformation, trusted by 50M users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier in its culture. The Scale Ecosystem Sales Manager - AMER role is to fuel GitLab’s growth by turning the partner ecosystem into a scalable source of new customers, focusing on partner-sourced Scale pipeline, repeatable campaigns, account mapping, and whitespace analysis to surface new logo opportunities. You will work closely with Scale Account Executives, Field Marketing, regional sales leadership, and partners such as distributors, longtail resellers, and hyperscalers like AWS and Google Cloud to integrate partners throughout the sales cycle and accelerate marketplace transactions, owning programmatic partner engagement across the territory. Responsibilities include driving partner-sourced Scale pipeline, executing partner-led campaigns, identifying whitespace, maintaining relationships with emerging partners, enabling partners at scale, running event-driven strategies, and delivering weekly pipeline forecasts and campaign performance insights. Requirements include B2B sales development or partner-driven pipeline experience, familiarity with partner ecosystems and hyperscalers, ability to design scalable, campaign-driven demand generation, proficiency with Salesforce and marketing automation, strong analytical and communication skills, willingness to travel, and GitLab’s commitment to flexible benefits, remote work, and equal opportunity with accommodations.

GitLab presents itself as an AI-enabled DevSecOps platform trusted by 50 million+ users and more than half of the Fortune 100, emphasizing AI as a core productivity multiplier and a high-performance, inclusive culture. The Director, Strategic Partnerships role owns GitLab’s relationships with AWS and Google Cloud, reporting to the VP of Corporate Development & Strategic Partnerships, and focuses on strategy, execution, and durable business outcomes rather than channel or co-sell sales. Responsibilities include managing the full commercial lifecycle and cloud spend, driving product integrations, leading joint go-to-market plans, and coordinating cross-functional work to align partner initiatives with GitLab’s roadmap and AI strategy, while chasing blockers and ensuring on-time delivery. Required qualifications include deep experience in strategic partnerships or vendor relationships in enterprise software/cloud/AI, direct management of enterprise cloud agreements with hyperscalers, hands-on technical integration and GTM work, strong ownership and communication skills, and familiarity with DevSecOps; US Eastern or Central time zone candidates are preferred. The role is remote within the Strategic Partnerships team, with a US salary range of $168,000–$285,600, comprehensive benefits, equal opportunity employment, and location-based guidelines.

GitLab presents itself as an AI-enabled, all-remote DevSecOps platform used by over 50 million users and many Fortune 100 companies to boost developer productivity, security, and digital transformation. The Director, Product Management: Agentic Software Delivery will own the strategy and three-year vision for CI, artifact management, CD, and observability, and lead senior/principal PMs to drive adoption, retention, and revenue across build, package, deploy, and monitor. In the first year, they will unite four connected roadmaps into one strategy, set investment allocation, deepen partnerships with Engineering and GTM, and outline a credible path for AI-native software delivery at scale with appropriate risk tolerance. Qualifications include executive-level communication, experience leading PMs and owning multi-product portfolios, technical fluency across pipelines and observability, pricing/packaging expertise, and practical use of AI in PM workflows, with the role operating in a cross-functional, all-remote environment. The position is US-based with a base salary range of $203,200–$345,600 plus bonuses, equity, and benefits, and GitLab emphasizes remote work, equal opportunity employment, comprehensive benefits, and accommodations.

GitLab presents itself as an intelligent DevSecOps orchestration platform trusted by 50 million+ users and many Fortune 100 companies, with AI treated as a core productivity multiplier in its culture. The Customer Success Architect role in North America serves as an architectural strategic advisor for GitLab’s largest customers, turning pre-sales plans into long-term success plans and guiding adoption and maturity across the customer journey. Responsibilities include leading accelerator programs, guiding GitLab usage and DevSecOps patterns, owning a book of customers, building CS plans with KPIs, coordinating across cross-functional teams, delivering technical enablement, and managing escalations. Required background includes practical Git and CI/CD knowledge, experience guiding enterprise architectural decisions, facilitating workshops and adoption initiatives, strong communication, and alignment with GitLab values, with travel as needed. The role is part of the all-remote Customer Success organization, offering benefits like PTO, equity, and growth support, and GitLab emphasizes equal opportunity and welcomes diverse applicants even if they don’t meet every qualification.

GitLab presents itself as an intelligent orchestration platform for DevSecOps used by over 50 million registered users and more than half of the Fortune 100, aiming to boost developer productivity, operational efficiency, security/compliance, and digital transformation, with AI integrated as a core productivity multiplier. The company emphasizes a high-performance, values-driven culture that values every voice, collaboration, and continuous knowledge exchange as it builds technology that transforms how software is developed. The Commercial Named Account Executive role targets the top end of the mid-market (250–3,999 employees), is remote and based in Central, Mountain, or Pacific time zones, and requires owning a territory by building pipelines, meeting quota, forecasting, expanding new business, and collaborating with partners and cross-functional teams. Responsibilities include acting as the “CEO” of your book of business, driving adoption to minimize churn, contributing to root-cause analyses on wins/losses, sharing lessons with marketing and product teams, and mastering MEDPICC and Command of the Message on all opportunities. Qualifications include a genuine desire to help customers, SaaS sales experience selling to development teams, interest in GitLab/open source software, strong communication and negotiation skills, travel flexibility, US salary range $91,600–$154,200 with incentive pay up to 100% of base, and a global, remote-friendly hiring approach with equal opportunity and accommodation commitments.

GitLab is an intelligent DevSecOps orchestration platform with 50 million+ users and Fortune 100 trust, and it emphasizes AI as a core productivity multiplier within a high-performance, inclusive culture. The role is Chief of Staff to the CRO in the Office of the CRO, providing strategic partnership, managing the Communications lead and CRO Initiatives Program Manager, and shaping strategy at the executive level. Key responsibilities include advising the CRO, leading leadership operations and strategic planning, driving global goal-setting, triaging escalations, serving as the CRO proxy for account plans and key meetings, and maintaining cross-functional alignment with executives and senior leaders. Requirements include 8–12 years in strategic roles, executive presence, strong analytics and reporting, CRM/BI proficiency, process design and scalable operating systems, excellent written communication, a bachelor’s degree or equivalent, and willingness to travel. The Revenue Team is fully distributed and async-first, spanning Sales, Customer Success, Sales Strategy & Analytics, Field Operations, and Partner teams, while GitLab offers benefits such as PTO, equity, a growth fund, parental leave, and a commitment to equal opportunity and recruitment privacy.

GitLab is an intelligent DevSecOps orchestration platform that boosts developer productivity, operational efficiency, security, and digital transformation, trusted by over 50 million users and a majority of Fortune 100 companies, with AI embedded as a core productivity multiplier. The company promotes a high-performance, values-driven culture with continuous knowledge exchange, all-remote collaboration, and opportunities for innovation where every voice is valued. This is a contract opportunity for a Candidate Experience Specialist based in the EST timezone, partnering with recruiters, hiring managers, and People Operations to shape candidate touchpoints from first contact through offer and handoff, and to act as a brand ambassador across a high-volume hiring environment. Responsibilities include maintaining accurate ATS data, coordinating interviews, scheduling, ensuring timely, engaging communication, creating employment contracts for offers, and supporting a seamless onboarding handoff. Qualifications include experience with end-to-end hiring, ATS proficiency (Greenhouse is a plus), Google Workspace, strong written and verbal communication, and the ability to work across time zones with confidentiality, with a stated commitment to diversity, remote work flexibility, and equal opportunity, and an invitation to apply even if not all requirements are met.

GitLab is an AI-enabled, intelligent DevSecOps orchestration platform used by over 50 million users and trusted by more than half of the Fortune 100, with a culture that embraces AI to boost productivity and innovation. The AI Transformation Owner drives the end-to-end AI agenda for the field organization, partnering with product and engineering to pilot and scale AI, embed AI into daily workflows, and establish governance aligned with company standards. Responsibilities include owning the AI enablement roadmap, identifying and delivering high-value field use cases (deal support, prospecting, content generation, guided selling, etc.), building field champions, designing an ops transformation plan, and leading governance on data usage and tool vetting. Candidates should have mid-senior experience in enablement or sales ops, hands-on AI tools experience, cross-functional fluency with product and engineering, autonomy, strong project-management skills, and an innovative mindset aligned with GitLab values. The role sits in the Enablement & AI function within the CRO organization; GitLab offers flexible PTO, equity, growth funds, parental leave, remote global hiring with location guidelines, and is an equal opportunity employer with a recruitment privacy policy.

At Atlassian, employees can work from an office, from home, or a combination, and the company hires in any country where it has a legal entity to support family, personal goals, and other priorities. The Rovo Experiences & Growth organization builds customer-facing experiences that help people find, understand, and act on their knowledge, delivering Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients across web, mobile, desktop, and browser extensions to integrate Rovo into daily work. The role leads technical strategy and architecture across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, ensuring scalable, reliable, secure, and cohesive experiences while shaping the convergence of Search and Chat with shared patterns for information retrieval, context, multi-step interactions, and action. It drives the development of reusable experience foundations that work across Atlassian products and third-party tools, and partners with product, design, data science, ML, and engineering leaders to define a roadmap of high-impact Rovo experiences that enable sustainable growth through rapid experimentation, contextual activation, personalization, measurement, and continuous improvement. The position also leads complex cross-organizational initiatives, standardizes how AI experiences are developed and deployed into scalable, composable, repeatable approaches, and mentors senior engineers to advance technical excellence, inclusive collaboration, and continuous learning.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity, guided by core principles that emphasize customer outcomes, long-term stakeholder relationships, and delivering beautiful, repeatable work. The Principal Value Advisor for DX is a highly influential individual contributor who shapes and delivers strategic value engagements, defines the value proposition of DX’s solutions, and drives customer-centric excellence across the organization. Responsibilities include building senior-level relationships, crafting tailored value propositions and business cases, translating financial data into opportunities, and delivering executive-grade storytelling and compelling proposals. The role also drives innovation, leads practice initiatives, fosters cross-functional collaboration, supports field enablement, mentors teammates, and requires 7+ years in value/strategy consulting with strong financial modeling and executive communication; travel is up to 15-20%. Nice-to-have elements include knowledge of Atlassian solutions, experience with relevant tools, regional language coverage across EMEA/APAC/AMER, and domain experience in financial services, software/tech, and public sector, with a focus on thought leadership and operationalizing the value management model to enable DX’s sales transformation.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever it has a legal entity, enabling employees to balance family, personal goals, and priorities. They’re seeking a Principal Sales Solutions Engineer, Strategic for their enterprise business, who is a product expert in the sales cycle, solves customers’ hardest business problems with Atlassian’s products, and helps close enterprise deals. The team serves over 250,000 customers worldwide (including NASA, IBM, HubSpot, Samsung, and Coca-Cola) and emphasizes value selling and cross-product solutions, guided by a teamwork-focused culture where employees work with Atlassian, not for Atlassian. The Solutions Engineering team partners with Enterprise Sales and Channel Partners to handle transformation deals in large global accounts, engaging C-level executives, performing customer discovery, identifying opportunities for cross-product expansion, and mapping business problems to Atlassian products. Responsibilities include being a product expert in pre-sales, leading value-based demonstrations, guiding customers’ technical needs to gain buy-in, forging strong partnerships with account executives, coordinating cross-functional teams, collecting product feedback and competitive intelligence, and continuously improving pre-sales knowledge and processes.

Atlassian's DX program aims to unleash the potential of every team through open work and drive engineering transformation for customers using their platform. As a Customer Success Manager (CSM), you'll partner with DX's customers to oversee implementation, rollout, and renewal, ensuring product utilization and alignment with business goals. The role requires onsite work four days per week in Salt Lake City during DX's integration into Atlassian, and you'll join a collaborative team focused on strategic impact rather than firefighting. Your duties include owning the full lifecycle, creating a customer success plan, hitting renewal and expansion targets, forecasting renewals, and resolving renewal challenges. You will position DX as a strategic driver for customers' business goals, conduct executive discussions, explore growth opportunities, collaborate across functions, and proactively track metrics to measure success and guide improvements.

- Atlassian offers flexible work locations (office, home, or a mix) and hires in any country with a legal entity, giving employees more control over family, personal goals, and priorities. - They’re hiring a Principal Sales Solutions Engineer, Strategic for enterprise, to be a product expert in the sales cycle, solve customers’ hardest business problems with Atlassian products, and help close enterprise deals. - The company serves over 250,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, focusing on value selling and showing how product combinations create enterprise outcomes, with a “play as a team” culture where employees work with Atlassian, not for Atlassian. - The Solutions Engineering Team collaborates with Enterprise Sales and Channel Partners to understand customer needs, strategize large multi-million dollar deals, deliver value-based demos, and support proofs of value to unlock the potential of customers’ teams. - Responsibilities include partnering with sales, partners, and executive-level customers; conducting discovery; identifying cross-product opportunities; acting as a product expert in pre-sales; leading demos; guiding technical requirements; coordinating with account executives; and continuously learning about products, offerings, and sales processes.

Atlassian offers flexible work options—home, global offices, or both—and hires in any country where it has a legal entity, enabling distributed collaboration. The Grad++ program combines hands-on technical training, mentorship, professional growth opportunities, and social connections to prepare students for impactful careers. The role is based in Seattle, WA, and applicants must be willing to work there; it is not eligible for F1 or J1 visas and does not offer any work sponsorship. Responsibilities include building production-ready features for Jira, Confluence, and Trello, owning end-to-end projects from design through deployment, testing, and production monitoring. The role emphasizes Agile teamwork with product managers and designers, and involves innovating with AI/ML technologies, tackling complex distributed systems, data processing, and user experience optimization using data-driven validation.

SmartBear delivers application integrity for modern tech stacks with AI-speed governance, offering deep test automation, API lifecycle management, and observability across the SDLC. It’s trusted by 32,000 organizations, including 75% of the largest financial institutions, with customers such as Adobe, JetBlue, and Microsoft, and its open-source tools are downloaded over 100 million times per month and have more than 30,000 GitHub stars. Its portfolio includes brands like Swagger, TestComplete, Reflect, QMetry, and Zephyr, with Zephyr as a market-leading test management solution integrated into the Atlassian ecosystem used by thousands of Agile teams. The Senior Financial Analyst, Zephyr (Atlassian Marketplace) role focuses on financial analysis and forecasting for Zephyr within the Atlassian Marketplace, building data-driven insights, maintaining financial models, dashboards, and KPIs, and partnering across GTM, Product, Sales, Engineering, and Marketing to optimize performance. SmartBear emphasizes growth, inclusion, and competitive total rewards, offering a base salary range of $90,000–$115,000, global offices, and awards; learn more at www.smartbear.com and through its social channels.

Lucid Software is a leader in AI-driven work acceleration with the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, and it promotes values such as innovation, excellence, empowerment, initiative and ownership, and teamwork within a hybrid work environment. The Senior Application Security Engineer will be a trusted security partner embedded in the development lifecycle, collaborating with engineering, product, and corporate teams to bake security in from the start and protect customer trust. Responsibilities include conducting security architecture and design reviews, driving a risk-based approach, mentoring engineers, building cross-functional partnerships, maturing the SSDLC, ensuring AI tools stay within risk limits, leading product design reviews, developing scalable security tooling and CI/CD integration, and leading the security champions program. Requirements include 5+ years in software engineering, application security, or related SaaS fields; proven relationships with product and engineering teams; experience securing web applications on modern frameworks and AWS; white-box pentesting; strong SSDLC and secure development practices; knowledge of common vulnerabilities (OWASP Top 10, API security, authz/authn); proficiency in integrating security tooling into CI/CD; a risk-focused mindset; and familiarity with AI security risks and evolving threats, plus strong communication skills. Preferred qualifications include experience with modern tech stacks, familiarity with security frameworks and standards (OWASP ASVS, NIST 800-53, SOC 2, GDPR), relevant certifications (OSCP, BSCP, GWEB, PNPT, or similar), bug bounty program management experience, and a Bachelor's degree in Computer Science or Information Security.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive business transformation at scale. The company upholds core values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork, and fosters a respectful, inclusive, hybrid work environment with flexible remote or office-based arrangements. The Senior Application Security Engineer role is embedded in the development lifecycle as a trusted security partner, collaborating with engineering, product, and legal teams to build security in from the start and to manage AI tool risk. Responsibilities include conducting security architecture and design reviews, driving a risk-based approach to vulnerabilities, maturing the SSDLC, building scalable security tooling for CI/CD, mentoring engineers, and leading security reviews and security-champions initiatives. Requirements include 5+ years in SaaS software/security, AWS experience, white-box pen testing, SSDLC expertise, knowledge of OWASP Top 10 and API security, and experience integrating security into CI/CD pipelines, with preferred qualifications including relevant certifications, familiarity with AI security risks, and a bachelor’s degree.

- Miro's Demand Marketing team drives enterprise market leadership by collaborating across growth, sales, and customer success to acquire and expand enterprise customers, supplementing product-led growth with B2B marketing tactics. - The Senior Regional Marketing Manager for AMER will design and execute a localized North America marketing strategy, drive pipeline and revenue, and collaborate closely with Sales, Customer Success, Product Marketing, and other marketing teams. - Responsibilities include building and executing regional programs (events, ABM, field programs), aligning with sales and partners, leveraging digital tactics, and regularly reporting on metrics, ROI, and pipeline while owning the regional budget. - Requirements are 7+ years of B2B SaaS marketing, a proven full-funnel campaign track record, deep AMER B2B knowledge, CRM/MA proficiency, strong cross-functional collaboration and project management, decisiveness in ambiguity, and an AI-first mindset with demonstrated AI usage. - The role offers benefits and location-specific salary ranges (San Francisco: $152,000–$228,000; New York: $144,000–$216,000) along with Miro’s emphasis on diversity, inclusion, and a recruitment privacy policy.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to support employees’ family, personal goals, and priorities. The company is seeking a Senior Incident Response Analyst with strong technical skills, threat analysis expertise, and incident management background to monitor Atlassian’s corporate and cloud environments, hunt for compromises, protect data for Atlassian, customers, and partners, and lead security incidents with cross-functional collaboration. Day-to-day duties include acting as an escalation point for security incidents, analyzing log data from multiple sources, conducting post-incident reviews, participating in on-call rotations, delivering mitigations, advocating for security best practices, performing threat hunts, researching threat actor TTPs, building automation tools, maintaining IR playbooks and SOPs, leading evidence collection and forensics, and running tabletop exercises. Requirements include 5+ years in security domains, incident response or related experience, fluency in modern programming languages (Python, Ruby, Java, Go) or scripting, experience with AWS/GCP, being self-motivated and delivery-focused, strong collaboration skills, and specialization in areas like malware analysis, forensics, threat hunting, network analysis, or cloud endpoint analysis, plus contributions to the security community. The role sits within Atlassian’s Security Detection and Response organization—encompassing Incident Response, Detection Engineering, Threat Intelligence, and Security Engineering—focused on improving security across the environment, products, and engineering practices and working with development teams to address issues.

At Atlassian, you can work flexibly from an office, home, or hybrid arrangement, and the company hires globally with virtual interviews and onboarding as part of its distributed-first approach. As a Senior Application Engineering Manager on the Corporate Engineering – Finance Technology team, you will lead a multi‑level group to work on Oracle Fusion Cloud and other Finance SaaS applications, driving transformations, automations, AI/ML, and Finance modernization. You will guide run‑the‑business operations and projects from design to launch, maximize Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), and drive automation using RPA and low‑code/no‑code tools while integrating Fusion with a best‑of‑breed SaaS footprint (Zuora, Coupa, Anaplan, Avalara, Fieldglass). This is a highly visible, metrics‑driven role that collaborates with diverse teams, ensures OKRs and SOX compliance with Internal Audit, and tackles complex architectural challenges, code reviews, and high‑risk bug fixes. Key qualifications include 9+ years as a hands‑on senior engineering manager in Core Finance, expertise in Oracle Fusion Cloud and related SaaS systems, automation/RPA/BRE tooling experience, exposure to Salesforce and Databricks, familiarity with AI/ML, and strong communication skills for engaging senior Finance and Engineering stakeholders; comfortable operating a 24x7 reliable system with a passion to make a difference daily.

At Atlassian, employees can work from anywhere globally, and as a Senior Application Engineering Manager on the Corporate Engineering - Finance Technology team, you’ll work with Oracle Fusion Cloud and other Finance SaaS applications to modernize Finance Operations through transformations, automation, AI/ML, and related priorities. You will lead a team of application development and software engineers, drive run-the-business operations and projects from design to launch, and collaborate with internal customers to set expectations and communicate results. The role emphasizes maximizing Oracle Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), maintaining OKRs, and fostering an automation mindset using RPA and low-code/no-code tools, with exposure to AI/ML. You’ll lead integrations within a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), drive metrics-driven outcomes, and work with Internal Audit to ensure SOX compliance, while making a broad impact across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit. Qualifications include Core Finance domain expertise, Oracle Fusion Cloud and related SaaS experience, 9+ years as a hands-on senior engineering manager, automation/PaaS/BRE tools experience, some AI/ML familiarity, and strong communication skills, with the ability to operate a 24x7 highly reliable system.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. As a Senior Application Engineering Manager on the Corporate Engineering- Finance Technology team, you’ll work on Oracle Fusion Cloud and Finance SaaS applications to modernize Finance Operations through transformations, automation, AI/ML, and other priorities, leading a group of application development and software engineers from design to launch while collaborating with teams and internal customers. You will lead run-the-business operations, partner across engineering teams on company-wide initiatives, maximize Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), ensure projects meet OKRs, and foster an automation mindset using RPA and low-code/no-code tools with exposure to AI/ML. You will build and maintain integrations between Fusion Cloud and a best-of-breed Finance SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), drive metrics to demonstrate outcomes, work with Internal Audit for SOX compliance, and collaborate with engineers, data scientists, and product managers to impact reliability and performance across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit. Key qualifications include 9+ years as a hands-on senior engineering manager in Core Finance with expertise in Oracle Fusion Cloud and related SaaS, experience leading Finance transformations, automation/PaaS/BRE tools (RPA, Workato, Camunda), exposure to Salesforce/Databricks a plus, familiarity with AI/ML use cases, comfort with 24x7 operations and incident-driven continuous improvement, and strong communication skills for senior stakeholders.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity to support employees’ priorities. The company seeks a Principal Full Stack Engineer (P60) to join the Atlassian Design System within the Dev Infra organization, based in the United States. ADS helps Atlassian teams build cohesive experiences across the System of Work and operates at the intersection of full stack engineering, design systems, architecture, AI, and developer experience. The role involves building reusable frontend and backend foundations, owning end-to-end delivery, shaping architecture, enabling AI-enabled workflows, and ensuring quality, security, performance, accessibility, and maintainability. It emphasizes collaboration across teams, increasing developer velocity, providing technical leadership, raising engineering standards, and growing a high-performing engineering culture through mentoring and reviews.

At Atlassian, employees can choose to work in an office, from home, or in a hybrid arrangement, giving them control over family, personal goals, and priorities, and the company hires in any country with a legal entity. Atlassian is investing in its largest customers and partners with 82% of the Fortune 500, including teams at IBM, Tesla, Dish, and Lufthansa. The Account Management team aims to deepen relationships, address customers’ complex challenges, and help them realize value across Atlassian’s solutions, driving retention and accelerating expansion in large Enterprise accounts. Responsibilities include accelerating revenue growth by leveraging existing footprints for expansion, managing high-value renewals and expansions, increasing product awareness, and leading cross-sell and upsell through collaboration with the Global Sales Team for total book of business growth. They maintain market and whitespace analysis for account planning, stay current on product updates, and ensure accurate forecasting and project documentation.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The company is investing in its public sector vertical, partnering with State and Local Government, Federal Civilian agencies, higher education institutions, and large Federal Systems Integrators to advance software and collaboration. It serves over 250,000 customers worldwide, with Public Sector Account Executives focusing on the largest and most strategic public sector clients to scale investments in Atlassian. The Public Sector Account Executive role involves deeply understanding customers, nurturing and growing relationships, strategic account planning, and serving as the customer account lead coordinating cross-functional teams like Channel Partners and Solutions Engineers. The position also acts as a liaison between executives in product and engineering and customers to guide roadmap and improve the customer experience, seeking someone who is customer-obsessed, organized, and proficient in enterprise sales.

Zendesk is seeking a Principal Product Manager for Partner Sales in its Information Technology department to lead the evolution of the partner technology ecosystem and create a frictionless, end-to-end GTM motion by integrating PRM (Impartner) with Salesforce, Adobe, and other internal systems. You will define the vision and roadmap, optimize the partner journey from onboarding to payout, own core integrations for real-time data and unified workflows, drive revenue velocity by reducing friction, and lead cross-functional efforts with Channel Sales, Revenue Operations, Engineering, and Partner Marketing while establishing KPIs to measure impact. Requirements include 8+ years in Product Management with at least 3+ focused on B2B SaaS GTM, Channel Sales, RevOps, or Partner Ecosystems at Principal or Senior level; deep understanding of indirect sales motions (VARs, SIs, MSPs, Tech Alliances); hands-on experience integrating PRM with CRM (Salesforce); ecosystem knowledge across GTM tools like Zendesk, marketing automation, and data warehouses; and strong strategic-to-technical execution and stakeholder communication. Bonus points include direct Channel Sales or RevOps experience transitioning to Product, Salesforce Admin or Impartner certifications, and experience building custom partner portals or APIs. Zendesk offers a collaborative, diverse environment with hybrid work, a US base salary range of $183,000–$275,000 plus potential bonuses and benefits, and a commitment to equal opportunity and accessibility, with AI screening used per policy.

Sentry helps developers fix errors and performance issues at scale and is trusted by 200,000+ organizations as the standard for application monitoring, with a focus on building an AI-native future. As a Staff Software Engineer on the Issues team, you’ll architect the systems powering the issue workflow, building real-time data pipelines, search backends, and analysis systems that surface signal from noise at billions of events daily. You’ll drive technical strategy and roadmap, shape architectural direction with product and design, solve performance challenges, ensure scalable foundations, and mentor others while delivering features that delight developers. Qualifications include 10+ years in full-stack software engineering (Python and TypeScript), expertise in distributed systems and data stores, and familiarity with PostgreSQL, ClickHouse, and Kafka is preferred. Sentry is an equal opportunity employer that values diversity and inclusion, provides accommodations for disabilities, and outlines data handling in its Applicant Privacy Policy.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. It is seeking a strategic, highly analytical Finance professional to own financial planning and management for AI infrastructure and token finance, responsible for forecasting, budgeting, and modeling for the Central AI team, in partnership with Engineering, Product, BizOps, and other Finance leadership. The role requires developing a deep understanding of AI economics—adoption, usage, token consumption, model mix, vendor pricing, and efficiency levers—and translating these into COGS, unit economics, and gross margin implications, along with scenario modeling and strategic ad hoc analyses. You will proactively drive process improvements, scale current financial models, data and tooling (in partnership with Cloud Finops) and related systems and processes; and you should be comfortable operating in ambiguity and delivering timely directional insights. The ideal candidate will have 10+ years of experience in complex financial modeling, driver-based forecasting, and long-range planning; experience with software and cloud infrastructure economics; knowledge of LLM/token economics or comparable consumption-based models; strong analytical judgment; excellent executive communication; a high say/do ratio; attention to detail; and the ability to thrive in a fast-paced environment where priorities can shift.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. They are seeking a strategic, highly analytical Finance professional to own financial planning and management for our rapidly evolving AI infrastructure and token finance, for the Central AI team, partnering with Engineering, Product, BizOps, and other Finance leadership. Responsibilities include forecasting, budgeting, financial modeling for AI infrastructure and token spend, long-range planning, scenario analyses, and ad hoc analyses that inform key business decisions, translating drivers like adoption, token consumption, model mix, and vendor pricing into COGS and unit economics. The role involves proactively driving process improvements, scaling current financial models, data and tooling with Cloud FinOps, and influencing investment and operating decisions through financial thought leadership. Requirements include 10+ years of complex financial modeling experience, software industry and cloud infrastructure cost driver experience, knowledge of LLM/token economics or similar consumption-based models, strong analytical judgment, comfort operating in ambiguity, and excellent executive communication and a high say/do ratio in a fast-paced environment.

Atlassian offers flexible work locations (office, home, or a hybrid) and hires in any country where they have a legal entity, serving more than 300,000 customers worldwide. The company’s mission is to unleash every team’s potential through software, guided by a culture of supporting each other and the value “play as a team,” with employees working with Atlassian, not for Atlassian. The sales role features strong earning potential and targets a vast enterprise market, focusing on building relationships with key stakeholders and collaborating with internal teams to ensure customer success. Responsibilities include developing named account or territory plans, executing strategic sales efforts, qualifying leads, presenting to decision-makers, negotiating contracts, closing deals, and providing accurate forecasting while maintaining executive relationships. Additional duties involve staying industry-aware, traveling to meet clients, building long-term sales strategies for designated accounts, and working cross-functionally with channel sales to navigate complex sales cycles and drive revenue growth.

Atlassian allows flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity. They are seeking product-minded Principal Engineers who are hands-on senior individual contributors, able to blend deep technical craft with sharp product judgment and own the work end to end. In this role you’ll own customer-facing products across the full stack—from React/TypeScript front ends to backend services and APIs—and drive architecture and decisions based on user and business outcomes. You’ll use telemetry and user data to define success metrics, monitor performance, perform root-cause analyses, and adjust plans as needed, while designing and building AI-enabled, agentic experiences that integrate LLMs for millions of users. The role also involves setting technical direction, collaborating with product managers, designers, and platform teams, mentoring others, and rapidly prototyping to production-grade, scalable solutions.

Atlassian offers flexible work options (office, home, or a mix) and hires globally in any country where they have a legal entity, giving employees control over family, personal goals, and priorities. They’re seeking product-minded Principal Engineers—a hands-on P60 individual contributor who sits at the seam between deep technical craft and sharp product judgment. You’ll own customer-facing products end to end across the full stack (React/TypeScript front ends, backend services, APIs), shaping what gets built and delivering AI-native and agentic experiences used by teams worldwide. Responsibilities include setting architecture and technical direction to align with user and business outcomes, using telemetry and metrics to define success, instrumenting and analyzing data, and refining designs accordingly. You’ll lead by craft, raise the engineering bar through code reviews and mentoring, partner with product managers, designers, and platform teams, and focus on high-leverage problems, rapid prototyping, and production-grade scale.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity to support employees' family and personal goals. They’re looking for product-minded Principal Engineers — senior individual contributors who operate at the intersection of deep technical craft and sharp product judgment and own customer-facing products end-to-end. You’ll own features across the full stack (React/TypeScript front ends, backend services, and APIs), shape what gets built, and drive projects from ambiguous problems to shipped, measurable outcomes. You’ll design AI-enabled, agentic experiences by integrating LLMs, define success metrics, instrument and monitor outcomes, and set technical direction in collaboration with product managers, designers, and platform teams. You’ll raise the engineering bar through code reviews and mentoring, focus on high-leverage problems, prototype quickly, and push prototypes to production-grade quality at scale.

Atlassian offers flexible work options, allowing remote or office collaboration, with hires in any country where they have a legal entity. For this internship, the role is based in the Seattle or San Francisco hub, and it is not eligible for F1/J1 visas or sponsorship. The Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful engineering career. The Security intern will join Atlassian's Security team, report to a Security Engineering Manager, and work with a mentor on a scoped project addressing a real security problem. Responsibilities include owning the project from problem understanding to building and documenting a solution, developing tools and automation, conducting security research, using AI-assisted coding tools, and collaborating with security and software engineers to present and maintain the solution.

Atlassian offers flexible work options and hires in any country with a legal entity, supporting distributed collaboration across home, offices, or both. The Intern program combines hands-on technical training, mentorship, and social connections to set interns up for a successful and impactful career at Atlassian, with the role based in the Seattle or San Francisco hub (you must work from one of these hubs). The Security team internship involves overseeing Atlassian services for tens of thousands of customers, reporting to a Security Engineering Manager and mentored by senior engineers. Interns will own a scoped security engineering project from problem understanding to building, testing, and documenting the solution, with potential projects including automated security testing, investigation tools, or risk-prioritization systems. Responsibilities include developing tools to find security weaknesses, conducting research to distinguish actionable findings from false positives, using AI-assisted coding and research tools, possibly building AI-assisted security capabilities, and collaborating with security and software engineers to present and maintain the solution.

- Atlassian supports flexible work locations and hires in any country with a legal entity, embracing a distributed work approach. - Their Internship program combines hands-on technical training, dedicated mentorship, and strong social connections to prepare students for a successful Atlassian career. - The Summer 2027 paid internship is a 12-week role based in the Seattle hub, with no eligibility for F1/J1 visas and no sponsorship. - The position is a Research Intern on the AI Research Systems (AIRS) team within Research and Insights, focused on enabling AI-native workflows for researchers and delivering insights to cross-functional partners. - Responsibilities include reporting to a Research Manager, building AI tools, pipelines, and systems for R&I, and conducting a research project with existing AI tooling, with minimum qualifications of 12 weeks full-time and returning to studies; preferred qualifications include experience with AI tools (e.g., Claude, Code, Codex), understanding of the research process, qualitative/quantitative UX methods, and data management/analysis.

Atlassian supports a flexible, distributed-first work model with virtual interviews and hiring in any country where the company has a legal entity. Their Grad++ program offers hands-on technical training, professional growth, dedicated mentorship, and strong social connections to set students up for success at Atlassian. The role is based in the Seattle hub and requires working from that hub; it is not eligible for F1 or J1 visas, and sponsorship is not available. Atlassian’s machine learning teams collaborate across Product, Engineering, Growth, GTM, Finance, and Sales to build ML infrastructure and intelligent product experiences, with opportunities in search, recommendation, personalization, Generative AI, and large language models. Responsibilities include building and evaluating ML models and Generative AI applications, using data and experimentation to improve quality, translating customer and business problems into technical solutions with cross-functional partners, contributing across the ML lifecycle from prototyping to deployment and monitoring, and developing agentic workflows that combine LLMs, tools, and product context to solve complex problems.

Atlassian offers flexible work locations and hires in any country where it has a legal entity, with distributed-work details available online. The intern program provides hands-on technical training, professional growth, dedicated mentorship, and social connections to set interns up for a successful Atlassian career, and the role is based in the Seattle hub (candidates must work from Seattle; it’s not eligible for F1/J1 or sponsorship). The paid internship runs for 12 weeks from May/June to August/September 2027. The Future Team internship focuses on data, reporting, and analytics to support a market-leading product, requiring development of data-driven hypotheses, rigorous statistical evaluation of experiments and user behavior, cross-functional collaboration, analysis of telemetry to surface growth opportunities, and building dashboards, reproducible notebooks, or AI agents. Candidates should have SQL and Python or R, knowledge of statistics and experimental design or ML fundamentals, experience with BI tools, familiarity with GenAI workflows, strong communication, and must be enrolled in a Masters program returning after the internship, graduating by August 2028, and commit to 12 weeks full-time in Summer 2027.

SmartBear delivers application integrity for modern tech stacks with governance to operate at AI speed and scale, offering deep test automation, API lifecycle management, and observability across the SDLC to set a new quality standard for delivery teams. It is trusted by developers, testers, and software engineers across 32,000 organizations—including 75% of the largest financial institutions—and customers such as Adobe, JetBlue, and Microsoft; its open-source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars, with brands like Swagger, TestComplete, Reflect, QMetry, and Zephyr. SmartBear emphasizes an inclusive, mission-driven culture with opportunities for growth, celebrates employees, and offers a comprehensive total rewards package, including benefits, flexible time off, hybrid work options, and pay transparency. The Renewals Specialist role involves building enduring customer relationships as a trusted advisor, driving retention and customer loyalty by expanding use and adoption, and identifying upsell and cross-sell opportunities within the software portfolio. Requirements include 1–2 years in a customer-facing role, a bachelor’s degree or equivalent, strong communication and interpersonal skills, the ability to consult remotely or onsite, and compensation that includes base salary plus on-target commission with an estimated annual cash compensation of $80,000.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. They’re seeking a Lead Product Designer for the Rovo & AI team to shape Rovo and AI experiences across Atlassian apps like Jira, Confluence, and Bitbucket by collaborating with teams throughout Atlassian. The role entails leading the strategic vision and conceptual design, applying systems thinking, and driving visual and interaction design while running design reviews and coaching other designers for cohesive AI experiences. You will lead design projects end-to-end, work with leadership and cross-functional teams to unify AI capabilities, tie outcomes to customer value with success metrics, and identify opportunities to enhance products and accelerate AI and search experiences. Qualifications include 10+ years in enterprise product design, experience delivering organization-wide design programs, end-to-end UX design, storytelling, balancing user needs with business/technical feasibility, facilitation and collaboration, design systems, and measuring success with qualitative and quantitative methods.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. - They’re seeking a Lead Product Designer for the Rovo & AI team to shape AI experiences across Atlassian apps, with the team primarily based in Australia and the west coast of North America. - Responsibilities include leading the strategic vision and design for AI experiences, applying systems thinking, delivering strong visual and interaction design, leading design reviews and coaching designers, partnering with leadership to unify AI capabilities, and guiding end-to-end design projects tied to customer value. - You will identify success metrics, identify opportunities to enhance products and accelerate AI and search experiences, and collaborate with engineers, product managers, content designers, researchers, marketing, and analysts to advocate for the user experience and deliver high-quality work. - Qualifications require 10+ years of enterprise product design experience, experience delivering organization-wide design programs, end-to-end UX/product design, storytelling, balancing customer needs with business/technical feasibility, facilitation and cross-functional collaboration, design systems experience, and the ability to measure success and improve processes to increase product value, velocity, and adoption.

Atlassian offers flexible work arrangements—office, home, or hybrid—with a preference for being in the San Francisco Bay Area or US West Coast, but hires are possible in any country where the company has a legal entity. As a Lead Design Technologist, you lead projects that affect multiple departments and deliver scalable design technology solutions that empower product builders across Atlassian, enabling PM/Eng/Design peers and driving AI-led prototyping and workflows. You’ll join the Design Technology team within the Core Design organization and report to the Senior Manager for Design Technology, building foundational tools, components, and AI-native product builder workflows used across Atlassian apps. The team is multidisciplinary, drawing from design, engineering, and product, and collaborates with product, engineering, and accessibility experts to create scalable, inclusive design solutions at enterprise scale. Responsibilities include delivering across multiple workstreams, championing rapid prototyping and cross-functional collaboration, mentoring less experienced designers and technologists, enhancing workflows with custom tooling and automation, solving complex design technology issues with AI/LLMs, showcasing advanced JS/framework and motion design skills, co-creating sense-making artifacts, and driving adoption of best practices and continuous improvement.

Atlassian offers flexible work options—office, remote, or hybrid—with a preference for someone located in the San Francisco Bay Area or US West Coast, but hires can be made in any country where the company has a legal entity. The Lead Design Technologist leads projects that impact multiple departments and delivers scalable design-technology solutions that enable product builders across Atlassian, including PMs, engineers, and designers, while driving innovation in prototyping, motion, and AI-led design workflows. You’ll join the Design Technology team within the Core Design organization, reporting to the Senior Manager, and the team builds foundational tools, components, and AI-native product builder workflows that power the user experience across all Atlassian apps, with members from design, engineering, and product. The team partners with product, engineering, and accessibility experts to create scalable, inclusive, enterprise-scale design solutions, and you’ll help shape Atlassian’s product-building culture, champion best practices, and accelerate innovation through AI tooling. Responsibilities include delivering across multiple workstreams, championing rapid prototyping and user testing, mentoring less experienced designers and technologists, identifying opportunities to enhance workflows with custom tooling and automation, solving complex design-technology issues using AI/LLMs, demonstrating advanced skills in JS frameworks, prototyping, and motion design, co-creating sense-making artifacts, and driving adoption of best practices and continuous improvement.