Jobs at Atlassian

Own product marketing and developer go-to-market strategy for Atlassian Forge and its broader developer platform. Lead positioning, messaging, launches, adoption, developer growth, community programs, and the TEAM for Builders event. Translate technical capabilities such as APIs, AI workflows, MCP, and agents into compelling developer value. Partner with Product, Engineering, Advocacy, Events, Community, Growth, and Ecosystem teams while managing AWS partner funding and driving developer activation, Forge adoption, and Marketplace outcomes.

As a Principal Machine Learning Systems Engineer, you will lead the development and implementation of machine learning systems and solutions to enhance team collaboration and productivity across Atlassian's software products.

Develop and productionize machine learning systems for search, retrieval, ranking, recommendations, conversational experiences, and AI agents. Own projects across the ML lifecycle, build evaluation datasets and benchmarks, conduct offline and online evaluations, analyze model quality, and improve system performance. Design scalable architectures addressing reliability, latency, privacy, and cost. Collaborate across product and engineering teams, communicate technical decisions, mentor engineers, and contribute to ML best practices.

Leads Atlassian’s global paid search strategy across its product portfolio. Owns channel governance, bidding automation, forecasting, budget allocation, experimentation, attribution, agency execution, brand defense, ad messaging, and AI-driven search strategy. Partners with Data Science, Ad Operations, Product Marketing, Web, and executives to improve demand capture, measurement, and portfolio performance.

Lead product vision, strategy, roadmap, and execution for Atlassian’s Focus app within Strategy Collection. Drive AI-native product development across planning, goal-setting, reporting, insights, collaboration, administration, and integrations. Partner with engineering, design, data, research, GTM, and executive stakeholders to prioritize opportunities, ship enterprise SaaS capabilities, establish responsible AI quality standards, and improve customer adoption, outcomes, and strategic alignment.

Develop actionable go-to-market strategies for AI sales and consumption pricing while driving business growth and engagement. Collaborate cross-functionally to influence strategic direction and optimize customer experience.

Leads a team of 10–15 software engineers responsible for Atlassian Government Cloud release infrastructure and processes. Owns release planning, readiness, go/no-go decisions, cutover, verification, rollback, incident escalation, and compliance. Defines a multi-quarter roadmap covering trunk-based development, feature flags, progressive rollouts, automated gates, and rollback automation. Partners across engineering, product, QA, SRE, security, and compliance while coaching team members and improving release reliability.

Senior Commercial Counsel supporting enterprise sales across the Central and West US, Canada, and LATAM. Responsibilities include negotiating SaaS agreements, drafting and revising contracts, managing approvals and execution, advising on customer requests, and addressing data protection, cybersecurity, revenue recognition, and regulated-customer issues. The role partners with Sales, Trust, Product, Engineering, Compliance, and Legal teams while providing practical, risk-based guidance on commercial transactions.

Participate in a 12-week product design internship focused on creating accessible, user-centered experiences across Atlassian products. Collaborate with product managers, engineers, researchers, and designers to understand customer needs, prototype solutions, conduct usability testing, apply research and product data, and contribute to design systems and documentation. The role emphasizes AI-powered experiences, teamwork tools, interaction design, visual design, and systems design.

Build and lead production machine learning and evaluation systems for Atlassian’s Rovo AI agents. Responsibilities include developing datasets, simulations, automated judges, experimentation platforms, and quality signals; advancing reasoning, planning, retrieval, memory, and tool use; identifying and correcting systemic failures; and balancing quality, safety, latency, reliability, and cost. The role requires hands-on technical leadership, cross-functional influence, architectural decision-making, mentorship, and delivery of measurable customer outcomes at scale.

Lead commercial legal support for enterprise sales across multiple regions. Negotiate SaaS and cloud agreements, advise on contract, data protection, cybersecurity, and revenue recognition issues, and guide complex customer transactions through execution. Partner with Sales, Privacy, Trust, Finance, Product, and other teams; develop training materials; educate business stakeholders; and lead projects that scale Legal and Sales operations.

Lead backend architecture and deliver reusable solutions, unblock engineering teams across the development lifecycle, drive complex design and bug fixes, set code review standards, mentor engineers, collaborate on company-wide projects, and make technical decisions balancing correctness, performance, and customer impact.

Partners with global Solution Sales Engineering leaders to improve revenue performance, forecasting, pipeline management, territory and capacity planning, sales processes, and operational rigor. Supports target setting, headcount planning, QBRs, performance reporting, SPIFF tracking, and business cadences. Identifies workflow friction, drives process and tooling improvements, and applies AI and automation to increase specialist productivity and reporting efficiency.

Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.

Lead Atlassian’s analyst relations program for AI Software Delivery solutions. Build relationships with industry analysts, coordinate responses for major evaluations, translate research into market intelligence, advise product and marketing teams on positioning, and improve analyst engagement through new formats and AI-powered workflows.

Supports product, design, and engineering teams by researching customer needs, competitors, market trends, and AI tools. The intern will translate insights into feature plans, identify product opportunities, build prototypes, collaborate with customers and partners, and help create innovative product solutions. The role requires full-time enrollment in a technical degree program and availability for a 40-hour weekly internship in the Pacific Time Zone.

Paid 12-week software engineering internship involving coding and shipping product features, full-lifecycle development, technical training, mentorship, and collaboration on Atlassian cloud and core products. Interns will apply programming, data structures, algorithms, and software design fundamentals while working with senior engineers. Preferred experience includes prior software engineering projects or internships, AI/ML exposure, and familiarity with design patterns.

Leads Atlassian’s AMER Trust Engagement team, overseeing customer trust, security, compliance, privacy, legal, and sales interactions. Responsibilities include team leadership, strategic planning, process and tooling improvements, cross-functional initiatives, enterprise customer escalations, executive briefings, trust strategy presentations, and security and compliance contract negotiations. The role requires extensive experience in security, governance, risk, compliance, cloud environments, AI security, privacy, and enterprise-scale trust programs.

Lead post-sales operational strategy and execution by partnering with senior leaders, coordinating cross-functional programs, defining reporting cadences, translating business questions into analytical requirements, architecting scalable reporting frameworks, improving data quality across Salesforce/Gainsight/Tableau, and using automation and AI to simplify workflows and enable decision-ready leadership materials.

Develop and execute executive social content focused on AI and product narratives across X, LinkedIn, and other platforms. Partner with executives, communications, marketing, and operations teams to shape voice, monitor AI discourse, translate technical concepts into engaging content, establish publishing cadences, advise on public participation, and measure performance to refine strategy.