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The Role
Lead strategy and execution for an open-weight LLM inference platform. Manage GPU capacity, inference optimization, model migrations, availability, benchmarking, governance, cost efficiency, and model selection. Translate business goals into technical priorities, develop roadmaps and cost models, and coordinate engineers, architects, security, legal, finance, product, and external cloud or GPU partners.
Summary Generated by Built In
Engineering | Seattle, United States | Remote, Remote | Mountain View, United States or Remote
We are seeking a Principal Technical Program Manager to drive technical strategy, infrastructure planning, and cross-functional execution across our LLM inference platform.
In this role, you will lead end-to-end programs spanning GPU capacity planning, inference optimization, model migrations, and cost-per-token efficiency, while building standardized benchmarking frameworks and governance policies to evaluate, select, and scale open-weight models safely across the organization. The scope will evolve as the platform and industry mature, so success requires strong technical judgment, structured execution, and comfort operating in ambiguity.
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.
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
We are seeking a Principal Technical Program Manager to drive technical strategy, infrastructure planning, and cross-functional execution across our LLM inference platform.
In this role, you will lead end-to-end programs spanning GPU capacity planning, inference optimization, model migrations, and cost-per-token efficiency, while building standardized benchmarking frameworks and governance policies to evaluate, select, and scale open-weight models safely across the organization. The scope will evolve as the platform and industry mature, so success requires strong technical judgment, structured execution, and comfort operating in ambiguity.
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.
- Set a long-term strategy and roadmap for the open-weight LLM inference platform. Base it on business goals, customer needs, barriers to adoption and industry trends, and build it with stakeholders across Engineering, Product, Security and Finance.
- Turn business goals into ranked technical problems, such as cost per token, latency, throughput, reliability and model coverage.
- Define and run programs for GPU capacity planning, inference optimization, model migrations, high availability and performance.
- Build a consistent way to benchmark and evaluate open-weight models, covering serving performance, quality and cost.
- Give leadership and teams data-backed recommendations for model selection.
- Work with Security, Legal and Compliance on the policies and security requirements that let teams adopt open-weight and OSS models safely.
- Partner with and influence engineers, ML engineers and architects to settle trade-offs and keep programs moving.
- Own programs end to end, from initiation through forecasting, budgeting and scheduling to delivery, including inference cost models.
- Manage complex dependencies across the company and with external partners, such as cloud and GPU providers.
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
Skills Required
- Technical judgment and structured execution in ambiguous environments
- Experience leading cross-functional technical programs end to end
- Ability to develop technical strategy and roadmaps for LLM inference platforms
- Experience with GPU capacity planning, inference optimization, model migrations, availability, or performance programs
- Ability to benchmark and evaluate open-weight models for performance, quality, and cost
- Ability to provide data-backed model selection recommendations
- Ability to partner with Engineering, Product, Security, Finance, Legal, and Compliance
- Experience managing forecasting, budgeting, scheduling, dependencies, and external partners
What the Team is Saying
Tiffany
Engineering Senior Associate, United States
Gautam
Software Engineer, United States
Tygrr
Product Manager, United States
Ashleigh
Frontend Engineer, United States
Jensen
Senior Frontend Software Engineer, United States
Javier
Senior Solutions Engineer, United States
Atlassian Compensation & Benefits Highlights
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Parental & Family Support — Parental support is highlighted through generous paid leave for birthing and non-birthing parents, plus fertility, adoption, and surrogacy benefits. Family-building coverage also includes IVF and fertility preservation.
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Healthcare Strength — Healthcare is described as comprehensive, spanning medical, dental, vision, disability and life insurance, HSA/FSA access, and extensive mental-health resources. Support includes counseling and crisis services.
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Retirement Support — Retirement benefits are noted as a standout feature in the U.S., including a company 401(k) match with immediate vesting. This structure supports long-term savings as part of total compensation.
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The Company
What We Do
Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.
Why Work With Us
At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.
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