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Technical Program Manager, Central Products at Meta · Menlo Park, CA · Joined
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Technical Program Manager, Central Products

Meta · Menlo Park, CA · Just now · 0 applicants
NewOn-siteFull-timeLead
Pay
Pay not listed
Workplace
On-site
Job type
Full-time
Level
Lead
Team: Central Products · Source: jobright · Posted by joined-scrapper

About the role

Meta is hiring a Technical Program Manager to lead capacity strategy for Meta Business AI, building quantitative models, forecasts, dashboards, and executive communications that drive capacity, cost, reliability, and efficiency decisions across engineering, data science, product, and infrastructure teams. The role requires 15+ years of technical program experience and deep expertise in capacity planning, infrastructu

What you’ll do

  • Own capacity strategy for Meta Business AI
  • Develop quantitative models, forecasts, and dashboards for capacity, cost, reliability, and efficiency
  • Guide decisions across Engineering, Data Science, Product, and Infrastructure
  • Deliver executive communications and leadership-facing narratives
  • Influence strategy across multiple organizations without direct authority
  • Manage requirements, scope, risk, and change on large technical programs

What you’ll need

  • B.S. in Computer Science or related technical discipline, or equivalent experience
  • 15+ years of software engineering, systems engineering, or technical product/program management experience
  • Experience delivering large-scale cross-organization technical programs from inception to delivery
  • Experience with capacity planning, infrastructure, or ML-serving/performance/efficiency programs at scale
  • Experience building quantitative models and communicating technical topics to executive audiences
  • Experience with GenAI/LLM inference at scale, Business AI/ads/agentic-commerce domains, and responsible AI practices

Original job description

Meta builds technologies that help people connect, find communities, and grow businesses. The Technical Program Manager will own the capacity strategy for Meta Business AI, developing quantitative models, forecasts, dashboards, and executive communications to guide capacity, cost, reliability, and efficiency decisions across Engineering, Data Science,…

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