Technical Program Manager, Central Products

Technical Program Manager, Central Products# Technical Program Manager, Central Products Menlo Park, CA Program Management+ 1 more Apply nowThe Meta Technical Program Management (TPM) community is pioneering technologies to bring people and businesses closer together at global scale. TPMs work at the cross-section of technical execution and business strategy and partner closely with Engineering, Data Science, and Product teams. Being a TPM at Meta means driving impact by delivering measurable results across a wide range of areas — defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and shaping the decisions that determine where and how we invest.

It also means having a strong technical background, understanding system architecture, and the experience to collaborate effectively across functions and organizations to deliver impact.

Central Products builds the shared platforms, infrastructure, and cross-cutting capabilities that power Meta's family of apps. Within Central Products, the Capacity team ensures that compute and infrastructure resources — increasingly, the AI and GPU capacity behind Meta's most important product bets — are forecast, allocated, and optimized so that the highest-priority products can scale without being constrained by infrastructure. This is a role for someone who is equally comfortable building rigorous quantitative models and translating them into clear, executive-ready narratives that drive decisions.

One of the fastest-growing areas we support is Meta Business AI — the AI agents that help businesses connect with their customers. As this product scales rapidly, its demand for large-scale AI inference capacity grows with it. As the Technical Program Manager for Capacity, you will own the capacity strategy for this space end-to-end and, above all, build the analytical and communication backbone that enables Engineering, Data Science, Product, and leadership to make the right capacity, cost, and efficiency tradeoffs at speed.

---## Technical Program Manager, Central Products Responsibilities
* Own the capacity demand model, forecasting, and supply plan for a large-scale AI product area, partnering with Engineering, Data Science, Infrastructure, and Product to align roadmaps, instrumentation, and tradeoffs
* Lead leadership communications for capacity: build the narratives, reviews, scorecards, and decision frameworks that give senior leadership a clear, data-grounded view of capacity health, risks, tradeoffs, and resource decisions
* Drive a deep, quantitative view of AI inference capacity — modeling compute and GPU demand, and driving infrastructure efficiency and cost optimization
* Build the analytical foundation — models, scorecards, and dashboards — that makes performance, efficiency, quality, cost, and capacity tradeoffs explicit and enables faster, better-grounded cross-functional decisions
* Partner with Engineering to protect reliability and capacity headroom so that product growth is never limited by infrastructure, including planning for demand spikes and graceful degradation
* Define and drive end-to-end program plans across multiple organizations; own risk, escalation, and change management
* Establish the operating cadence — capacity reviews, planning cycles, and ramp gates — and act as the connective tissue that keeps a fast-moving, multi-team effort aligned on the right tradeoffs
* Influence program and product direction across Engineering, Product, and Infrastructure through data-driven analysis and thought leadership, simplifying complexity and building alignment without direct authority##

Minimum Qualifications
* B.S. in Computer Science or a related technical discipline, or equivalent experience
* 15+ years of software engineering, systems engineering, or technical product/program management experience, including owning large-scale, cross-organization technical programs
* Experience delivering technical programs or products from inception to delivery jointly with Engineering, Data Science, and Product partners
* Experience with capacity planning, infrastructure, or ML-serving / performance / efficiency programs at scale
*…