企业AI产品经理

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.

Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale.

define success, roadmap, and investment tradeoffs.

Own enterprise product readiness from pilot to scaled rollout: migration and rollout plans tracked with scorecards, privacy and compliance readiness (data retention, deletion, PII redaction, tenant isolation), and closure on reliability, auth, safety, and SLAs with engineering and field teams.

Establish evals as a first-class practice: eval harnesses, golden datasets and judges, task completion measurement driving continuous improvement.

Lead AI infra and architecture tradeoffs with engineering: orchestration, retrieval and grounding, reasoning, latency, cost, auth.

Lead cross-functional execution across Agent Core surfaces plus adjacent model, data, and go-to-market teams.

Translate AI capabilities into enterprise visions that ship to real client outcomes.

Communicate strategy and report enterprise product performance with radical clarity to clients, field teams, and leadership.

10+ years of experience working collaboratively with engineering, design and user research teams

Experience taking a 0-1 platform from strategy through enterprise adoption and full product lifecycle

Experience turning diverse enterprise requirements and customer requests into a single coherent product strategy

Experience with agentic harness and AI infra plus LLM evals: orchestration, tool use, golden datasets and judges, task completion measurement

Technical depth with data and infra: analyze complex datasets, lead credible architecture tradeoff discussions on reasoning, latency, reliability, cost

Communication and influence: radical clarity from exec to eng, AI-native builder who prototypes and ships with AI tools

Shipped enterprise-grade AI infra or agentic products: harness, reliability, latency, security and auth, SLAs, readiness

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Meta builds technologies that help people connect, find communities, and grow businesses.

When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

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You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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10+ years of experience working collaboratively with engineering, design, and user research teams