Jobs at Atlassian

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 Agent Platform engineering team, combining people management with hands-on technical leadership. Set direction for applied ML, agent workflows, retrieval, evaluation, observability, reliability, security, privacy, and scalable platform foundations. Hire, coach, and develop engineers; establish planning and execution practices; write production code; and align roadmaps across product, engineering, ML, data, and platform stakeholders to deliver reliable AI experiences.

Build and launch complex backend projects, design scalable architectures, lead code reviews, resolve high-risk issues, and contribute to company-wide engineering initiatives. The role involves Java development, distributed systems, cloud platforms, databases, performance optimization, mentoring engineers, and influencing technical decisions across teams.

Own the strategy, roadmap, and customer experience for Atlassian’s usage-based monetization platform. Lead cross-functional execution across Engineering, Design, GTM, Marketing, Finance, and Legal; make high-stakes pricing and enforcement decisions; define metrics and use data to guide the roadmap; influence executive stakeholders; and mentor other product managers.

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.

Build and ship high-quality frontend software from technical design through launch. Develop efficient, scalable, testable client code; collaborate with engineering, design, and product teams to solve customer problems; contribute to code reviews and documentation; and resolve complex bugs while delivering intuitive product experiences.

Develop and maintain large-scale full-stack product features, guiding technical direction and balancing correctness, performance, reliability, security, and customer impact. Collaborate with product, design, and engineering teams to build dynamic user experiences, write tested and maintainable code, conduct code reviews, document systems, debug complex issues, and resolve production problems.

Build reliable backend software features and services for Atlassian’s Focus Funds and AI team. Responsibilities include developing REST APIs, configuring backend service monitoring, creating CI/CD pipelines, and integrating platforms with Atlassian’s content management system.

Lead technical strategy and cross-functional execution for agent integrations, quality measurement, observability, API governance, monetization, rate limits, quotas, runtime safeguards, and platform roadmaps. Translate ambiguous, multi-team challenges into milestones, ownership models, technical decisions, and scalable standards for tool ecosystems and automation platforms.

Leads Oracle Fusion and Zuora RevPro enhancements, integrations, functional architecture, process automation, and quarterly project roadmaps. Prioritizes improvements with transformation and cross-functional teams, resolves production issues, manages SaaS vendors and contractors, and supports global Finance and Accounting operations. Partners with Commerce, Sales, and Data Engineering teams to optimize and digitalize business processes.

Designs, builds, tests, deploys, and operates core identity services. Responsibilities include monitoring SLOs, participating in on-call and incident response, automating manual processes, conducting design and code reviews, mentoring peers, improving documentation, and applying security and privacy principles to authorization workflows.

Design, build, and ship scalable backend features for Confluence Cloud AI automation and search. Develop RESTful microservices using object-oriented programming languages and work with relational and NoSQL databases in a distributed environment. Collaborate with engineering, architecture, product, and design teams; participate in Agile ceremonies; review code; and ensure reliability, security, performance, testing, documentation, monitoring, and error reporting.

Lead the vision, strategy, and roadmap for AI experiences across Atlassian’s core products. Partner with engineering, design, data science, platform, and product teams to deliver intuitive AI features, accelerate adoption, define success metrics, gather customer feedback, and iterate based on data. Serve as an AI product leader, mentor stakeholders, communicate with executives, and drive innovation across a global software portfolio.

Design, develop, train, optimize, and deploy machine learning models, including NER, personalization, predictive, and LLM fine-tuning systems. Collaborate with engineering, product, and analytics teams to integrate AI features into Atlassian products. Conduct experimentation, evaluate model performance, monitor product metrics, and improve scalability and reliability. Contribute to foundational model development and advanced AI initiatives while communicating findings to senior leaders.

Build and ship features for highly scalable, geographically distributed backend services. Responsibilities include collaborating with engineers, architects, product managers, and designers; participating in code reviews; applying testing, documentation, reliability, security, and performance best practices; mentoring teammates; monitoring services; and contributing to Agile ceremonies.

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.

Manage a book of ~40 mid-market accounts to drive new sales and expansion. Own quota ($2-4M), lead cross-functional deal teams, build executive relationships, qualify and close complex multi-threaded SaaS deals using outcome-based selling (MEDDPICC), forecast pipeline, price and negotiate contracts, collaborate with channel/marketing/product/customer success, and occasionally travel for customer meetings and team events.

Lead technical strategy and joint solution architecture with Accenture, designing enterprise AI, graph, integration, and cloud-platform offerings. Drive partner enablement through architecture sessions, hackathons, bootcamps, proofs of concept, and reference architectures. Collaborate with sales, alliances, product, and engineering teams on strategic enterprise transformations, while influencing platform capabilities and supporting co-delivery governance.

Summer 2027 PhD research internship at Atlassian focused on AI research. The role supports distributed-first collaboration, with virtual interviews and flexibility to work remotely or from a company office.

Conduct AI research as a 2027 graduate hire at Atlassian, collaborating remotely or from company offices. The provided description contains no specific research area, responsibilities, qualifications, or technical requirements.