Technical Program Manager, Infrastructure Software Systems

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.

Responsibilities

Own technical program management for a core area of Meta's infrastructure software stack, spanning platform strategy, technical design, delivery, and partner adoption Partner with Engineering and Product to define the multi-quarter roadmap: shaping feature plans, participating substantively in technical design and API/interface design reviews, and making tradeoff recommendations that leadership acts on Drive platform adoption end to end - defining the onboarding path for partner teams, removing friction in integration, and holding the bar on the partner experience from first evaluation through steady-state production use Translate the needs of demanding internal customer organizations into platform requirements, and broker the prioritization conversations required to land them Define and instrument the metrics that determine whether the platform is succeeding - adoption, reliability, efficiency, and developer/agent effectiveness - and use them to drive decisions rather than to report status Lead technical discussions and act as a thought leader in program and design reviews; be the cross-functional partner engineering leaders pull into their hardest problems Identify and solve systemic problems that span organizational boundaries, and build the lightweight operational constructs that accelerate team momentum without adding overhead Perform risk assessment, risk mitigation, and change management across a portfolio of concurrent technical programs Articulate technical vision, requirements, goals, and milestones to stakeholders up to and including VP-level leadership Provide hands-on program management through design, development, testing, rollout, and post-launch phases Mentor and raise the bar for other technical program managers, and influence how TPM is practiced across the broader organization

Qualifications

Bachelor’s degree in Computer Science or a related technical discipline, or equivalent practical experience 10+ years of experience in software, systems, or hardware engineering, or technical product/program management Experience delivering technical programs or products from inception through to delivery Knowledge of user needs assessment, requirements gathering, and scope definition Experience working autonomously across multiple teams, demonstrating critical thinking and thought leadership Experience communicating and collaborating with technical management teams to develop systems, solutions, and products Experience in organization, coordination, and prioritization of competing workstreams Experience in analytical thinking and problem-solving applied to large-scale systems Experience establishing and maintaining working relationships across multidisciplinary teams and with partners in multiple time zones Experience partnering with large internal customer organizations to migrate them onto a shared platform Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience supporting AI/ML infrastructure - training, inference serving, or the software layers that sit on top of them Experience defining and driving developer or platform effectiveness metrics Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience building or operating agent-facing platforms, tooling, or APIs, including agent orchestration and evaluation Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)