Summary:
As a Technical Program Manager (TPM) at FAIR, you will lead complex, cross-functional programs that accelerate scientific discovery and innovation at Meta. You will partner closely with researchers, engineers, product managers, and infrastructure teams to deliver scalable solutions across different initiatives. Your work will enable cutting-edge research and the development of state-of-the-art AI products and features.
Required Skills:
Technical Program Manager, FAIR (AI Research) Responsibilities:
Drive end-to-end program management for technical initiatives spanning compute infrastructure, data management, and generative AI projects. Ensure alignment and execution across research, engineering, product, infrastructure, and operations teams
Collaborate directly with researchers to understand evolving requirements, workflows, and challenges. Co-design solutions that enable advanced experiments, model development, and scientific breakthroughs
Guide technical strategy, system architecture, and process improvements for compute systems, data pipelines, and generative model productionization. Identify and mitigate risks, resolve blockers, and ensure program milestones are met
Develop and implement best practices for reliability, scalability, data quality, and privacy. Support both technical and operational needs to ensure solutions are effective and adaptable
Facilitate regular communication, documentation, and feedback loops with all stakeholders, including leadership and external partners. Provide clear updates and ensure transparency as program needs evolve
Minimum Qualifications:
Minimum Qualifications:
12+ years of experience in technical program management, systems engineering, software engineering, or a related technical discipline, with demonstrated ownership of cross-organizational programs at scale
12+ years of experience driving end-to-end delivery of large, complex technical programs spanning multiple organizations, including defining scope, managing dependencies, tracking deliverables, and reporting to executive stakeholders
Experience identifying and resolving systemic technical risks and organizational misalignments across company-wide programs, including influencing VP-level and cross-company leadership to drive commitment and strategic alignment
Experience producing executive-level written communications, technical strategy documents, and program narratives that bring clarity to ambiguous, high-stakes problems and are used as long-term organizational references
Preferred Qualifications:
Preferred Qualifications:
Experience evaluating model performance online and offline
Experience as a subject-matter expert with a track record of contributing to the technical program management community in technical program management, including representing an organization in industry forums, publishing frameworks or methodologies, or influencing external partners and stakeholders
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Familiarity with human data, machine learning datasets, RL environments, and generative model development is a plus
Technical background in compute systems, data engineering, machine learning, or related fields is preferred
Demonstrated experience redesigning program management workflows using AI tools and agents to drive measurable improvements in delivery quality, speed, or organizational scale
Track record of identifying and launching new focus areas or program disciplines within a large technology organization, including setting strategic direction and building the operational foundation from the ground up
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Public Compensation:
$245,000/year to $309,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.