Technical Program Manager - AI Infrastructure

Meta is seeking a Technical Program Manager (TPM) to drive the execution of complex, cross-functional technical programs across one of Meta's core product or infrastructure domains.

In this role, you will translate technical strategy into structured program plans, partner with engineering, product, design, data science, and operations teams to define goals and success metrics, and ensure programs are delivered with speed and quality.

You will serve as a key connector across functions — navigating ambiguity, managing risk, and communicating clearly with both technical teams and leadership to keep programs on track and aligned to broader business objectives.

Responsibilities

• Manage end-to-end execution of technical programs across defined workstreams, from scoping and planning through delivery and post-launch review
• Translate technical strategy into structured program plans with clearly defined milestones, dependencies, and success metrics leveraging existing program management formats
• Identify, document, and communicate risks to milestones and deliverables, and collaborate with technical leads to develop and track mitigation plans
• Analyze program data to identify trends, surface blockers, and translate findings into actionable recommendations for the program team
• Drive cross-functional alignment across engineering, product, design, data science, and operations by facilitating structured decision-making and proactively resolving or escalating conflicts
• Develop and execute communication plans that keep stakeholders informed, tailoring content and format to both technical and non-technical audiences including program updates and decision memos
• Track and manage interdependencies across concurrent workstreams, reacting quickly to changes and keeping the program team aligned through transitions
• Contribute to the TPM community by participating in community events, sharing best practices, and supporting onboarding and hiring efforts
• Use AI-enabled tools and workflows to accelerate program planning, documentation, and stakeholder communication while validating outputs for quality and compliance

Qualifications

• 2+ years of experience in technical program management, software engineering, or systems engineering, with a track record of delivering technical programs from inception to launch
• Experience setting up program structures including milestones, dependency tracking, and risk documentation using established program management frameworks
• Experience identifying and communicating program risks and supporting the development of mitigation plans with cross-functional teams
• Experience driving cross-functional collaboration across engineering, product, and operations teams, including proactive conflict resolution and stakeholder alignment
• Experience collecting and analyzing program data to identify trends and translate insights into actions that advance program goals Experience building or refining program management templates, processes, or documentation practices that improved consistency or efficiency across a team
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience using AI tools to accelerate program workflows such as documentation, risk analysis, or stakeholder communication, with demonstrated ability to validate outputs and apply responsible AI practices
• Experience tailoring written communications — such as program updates, decision memos, or executive briefings — to both technical and non-technical audiences at varying levels of the organization
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience contributing to TPM community initiatives such as onboarding programs, hiring processes, or knowledge-sharing forums