Product Manager, Enterprise AI

Meta; Menlo Park (CA); Híbrido; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Meta is seeking a Product Manager for Enterprise AI in Menlo Park, CA. You will own core platform surfaces for enterprise-grade agents and lead AI-native product development at scale, collaborating with engineers, designers, data scientists, and researchers.

You will shape product roadmaps, coordinate resources across design, legal, and other teams, and drive milestones from 0-1 strategy through market readiness with enterprise partners.

Responsabilidades

• Identify significant near- and long-term opportunities in a large product area and drive mission, strategies, and roadmaps.
• Generate buy-in and drive consensus across organizations.
• Bring clarity to ambiguous opportunities and execute with limited oversight.
• Champion AI-native strategies including evals and data strategies to enable continuous improvement.

Descripción del empleo

# Product Manager, Enterprise AIMenlo Park, CA Product Strategy+ 1 moreApply nowMeta is building the Agent Core platform that powers business agents for enterprise clients at scale. This role owns core platform surfaces - agentic harness and AI infra, evals, and enterprise product readiness - from 0-1 strategy through Drive to PMF with enterprise design partners.Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly and lead AI-native product development at scale, with a focus on enterprise-grade agents.---## Product Manager, Enterprise AI Responsibilities* Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies, and roadmaps in the context of broader organizational strategies and goals.* Generate buy-in and drive consensus across organizations.* Bring clarity and structure to ambiguous opportunities.* Consistently demonstrate initiative and execute with limited oversight.* Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis.* Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement.* Drive product development with teams of engineers and designers, while maintaining team health.* Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones.