Set technical vision and build AI foundations used across Atlassian: prototype and write code, build scalable AI infrastructure, measure AI effectiveness, provide context and cost-efficient compute, partner with product teams, and mentor senior engineers.
Engineering | San Francisco, United States | Remote, Remote | Mountain View, United States or Remote | Seattle, United States
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Dev Infra builds the tools, platforms, and infrastructure that every engineer at Atlassian uses to ship. We are hiring a Senior Principal Engineer for our AI Foundations team, the group responsible for making AI work well across our engineering: how we measure it, the context we feed it, and the compute it runs on.
The reach of this work is unusual. Because Dev Infra builds and stress tests the same class of developer tools Atlassian sells, what you build shapes both how Atlassian ships software and what Atlassian ships to millions of developers.
In this role, you will:
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Dev Infra builds the tools, platforms, and infrastructure that every engineer at Atlassian uses to ship. We are hiring a Senior Principal Engineer for our AI Foundations team, the group responsible for making AI work well across our engineering: how we measure it, the context we feed it, and the compute it runs on.
The reach of this work is unusual. Because Dev Infra builds and stress tests the same class of developer tools Atlassian sells, what you build shapes both how Atlassian ships software and what Atlassian ships to millions of developers.
In this role, you will:
- Set the technical vision for how Atlassian enables and builds AI across the software development lifecycle, and turn it into infrastructure teams adopt.
- Stay hands on. Prototype the hardest parts yourself, write code, and set the engineering bar others build to. At this level you lead by doing.
- Build the foundational systems that make AI effective for every engineer, including how we measure whether AI works, give it the right context, and run it reliably and affordably at scale.
- Give engineers and leaders real signal instead of hype, so the company can see where AI genuinely helps.
- Partner across engineering and product teams to shape both the tools we use internally and the AI capabilities we ship to customers.
- Decide when to buy a proven solution, when to build alongside our product teams, and when a problem deserves something purpose built.
- Grow the talent around you. Mentor senior engineers, align principals across the organization, and raise the ceiling for what the team believes is possible.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
Atlassian New York, New York, USA Office




Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the technical direction for Atlassian’s Search Serving platform, building globally scalable, low-latency agentic search systems. Own architecture for retrieval, indexing, query processing, and ML inference while improving quality, reliability, scalability, operability, and cost. Establish production ML practices for evaluation, experimentation, observability, rollouts, and incident response. Optimize inference for embedding, retrieval, and ranking models, and lead cross-team initiatives while mentoring senior engineers and aligning technical leaders.
Top Skills:
CachingDistillationDistributed SystemsEmbedding ModelsHybrid RetrievalInformation RetrievalMachine LearningMl InferenceModel OptimizationQuantizationRanking ModelsSearch InfrastructureSemantic SearchShardingVector Search
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads technical strategy, architecture, and engineering execution across Atlassian’s Rovo Chat, Search, Growth, Apps, and Clients experiences. The role drives scalable AI foundations, Search and Chat convergence, personalization, experimentation, reliability, security, and operational excellence. It involves leading cross-organizational initiatives, partnering with product, design, data science, and machine learning teams, mentoring senior engineers, and shaping multi-year technical roadmaps for customer-facing applications.
Top Skills:
AIBackend SystemsBrowser ExtensionsDesktop ApplicationsDistributed SystemsFrontend SystemsFull-Stack Web ApplicationsMobile Applications
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead technical pre-sales engagements for large LATAM enterprise customers. Partner with account teams and channel partners, conduct Spanish-language discovery sessions and demonstrations, advocate for Atlassian Rovo and Teamwork Graph, architect customized solutions, and translate complex business challenges into measurable customer value. Build executive relationships, influence cross-functional teams, provide market feedback to Product Management, and support complex, high-stakes enterprise deals.
Top Skills:
Artificial IntelligenceAtlassian RovoCloud Software PlatformsTeamwork Graph
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory





