Meta
Product Manager, Enterprise AI
$205K–$277K
Menlo Park, CA · Manager · Full-time · Posted Sep 16, 2026
- Experience
- 10+ years in product management and/or Product Design, and 10+ years working collaboratively with engineering, design, and user research teams.
- Education
- BA/BS in Computer Science or related field.
About the job
Owns Meta’s Agent Core platform for enterprise agents, setting product strategy and delivering AI infrastructure, evaluations, and enterprise readiness from initial strategy through scaled adoption.
What you'll do
- Define the platform mission, strategy, roadmap, success measures, and investment tradeoffs for Agent Core.
- Lead cross-functional development of agent orchestration, AI infrastructure, and evaluation practices, including architecture tradeoffs and continuous improvement.
- Drive enterprise readiness from pilots to scaled rollout, coordinating migration, privacy, compliance, reliability, safety, and customer adoption.
What they ask for
- 10+ years of experience working collaboratively with engineering, design, and user research teams.
- 10+ years in product management and/or Product Design.
- BA/BS in Computer Science or a related field.
- Experience developing AI-native strategies and taking a 0-1 platform from strategy through enterprise adoption and its full product lifecycle.
Nice to have
- Experience with agentic harnesses and AI infrastructure, including orchestration, tool use, LLM evals, golden datasets, and task-completion measurement.
- Experience shipping enterprise-grade AI infrastructure or agentic products and working with field, solutions, or partnerships teams on enterprise adoption.
Pay
$205,000/year to $277,000/year (base salary)
Tools
AI, Agent Core, LLM, orchestration, retrieval and grounding, golden datasets, judges, PII redaction
AI focus
Build enterprise agent infrastructure and AI-native products; establish evaluations and data strategies; assess AI tradeoffs; and use AI tools to redesign workflows and improve measurable outcomes.
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