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Meta

Technical Program Manager, Infrastructure Software Systems

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What they do

A Technical Program Manager oversees all aspects of technical projects for their organization. They focus on overseeing the development, implementation, and delivery of technical solutions or products, often involving software development, hardware engineering, or IT infrastructure. They may be responsible for initiating programs, monitoring their progress, and providing technical support if issues arise.

$189,166 / year median in California

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Job Description

The Meta Infra Technical Program Management (TPM) community is pioneering technologies to bring people and businesses closer together at a global scale. Infra TPMs are the enablers for our toughest business strategies to become technical realities, requiring direct and close partnership with both Engineering and Product teams to make products come to life with incredible scale, reliability, and efficiency. Meta's infrastructure software stack is being upgraded for a world where the primary consumer of our platforms is an agent, not a human at a terminal, and our core infrastructure stack is being upgraded for the rigor, speed, and scale required of modern training, inferencing, and app development. These shifts change how we design APIs and interfaces, how we onboard and support internal and external partners, how we plan features, and how we measure adoption and success. We are looking for a Technical Program Manager to own that transformation for a major surface of Meta's Infra software stack. In this role, you will partner with Engineering and Product leadership to shape the technical roadmap for the platforms you own, drive the design and rollout of the interfaces those platforms expose, and own end-to-end delivery and adoption with the partner teams who build on top of them. You will operate with a high degree of autonomy on ambiguous, cross-organizational problems turning open-ended strategic questions into concrete programs with a credible path to success and you will set the technical program management standard for the teams around you.
Qualifications:
B.S. in Computer Science or a related technical discipline, or equivalent experience 12+ years of experience in software engineering, systems engineering, or technical product/program management Experience delivering technical platforms or infrastructure software programs from inception through production adoption Experience leading large-scale, cross-functional programs with significant organizational impact Experience driving strategic technical initiatives and influencing roadmaps across multiple engineering teams Experience with platform or developer-facing software, including API and interface design, partner onboarding, and adoption of a platform by teams outside the one that builds it Experience working with AI/ML or agentic systems, and translating their requirements into platform and infrastructure decisions Experience with executive-level communication, including presenting to and influencing senior leadership Experience navigating ambiguity and defining structure for complex, multi-quarter technical programs Experience communicating and translating between non-technical and technical requirements and audiences Experience mentoring and developing other technical program managers Experience establishing working relationships across multi-disciplinary teams and partners in multiple time zones Experience building or operating agent-facing platforms, tooling, or APIs, including agent orchestration and evaluation Experience partnering with large internal customer organizations to migrate them onto a shared platform Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience defining and driving developer or platform effectiveness metrics Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience supporting AI/ML infrastructure — training, inference serving, or the software layers that sit on top of them