Product Manager, Enterprise AI

Meta; Menlo Park (CA); On-site; USD 205,000 - 277,000; Full time

Job summary

Meta seeks a Product Manager for Enterprise AI to own the Agent Core platform, driving from 0-1 strategy through enterprise product-market fit with design partners. You will lead cross-functional teams of engineers, designers, data scientists and researchers to ship AI-native solutions at scale for enterprise customers.

You will define roadmaps, evaluate AI tradeoffs, ensure privacy and reliability, and communicate strategy with radical clarity to clients and leadership while balancing cost,

Qualifications

• Demonstrated proficiency using AI-enabled tools to build product artifacts at scale.
• 10+ years of experience working collaboratively with engineering, design and user research teams.
• 10+ years product management and/or Product Design experience.
• Experience developing AI-native strategies across organizations.
• Experience shipping enterprise or platform products at scale.

Responsibilities

• Identify near and long-term opportunities and drive product strategy and roadmaps.
• Generate buy-in and drive consensus across organizations.
• Define requirements, coordinate resources, and guide teams to milestones.
• Evaluate when AI is the optimal solution and perform tradeoff analysis.
• Translate AI capabilities into enterprise visions that ship to client outcomes.
• Communicate strategy and performance to clients, field teams, and leadership.

Skills

AI-enabled tools

Cross-functional collaboration

Enterprise product experience

Product lifecycle management

Strategic thinking

Education

BA/BS in Computer Science or related field

Tools

Agent Core platform tooling

LLM evals

Orchestration

Job description

Meta 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.
• Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale.
• Own Agent Core platform for Enterprise: agentic harness, orchestration, AI infra, and enterprise requirements prioritization by customer impact and blocking needs
• 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.

Minimum Qualifications:

• Demonstrated proficiency using AI-enabled tools to build product artifacts at scale
• 10+ years of experience working collaboratively with engineering, design and user research teams
• 10+ years product management and/or Product Design
• Experience developing and championing AI-native strategies across organizations
• BA/BS in Computer Science or related field
• Seasoned Product Management experience shipping enterprise or platform products at scale
• 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

Preferred Qualifications:

• Shipped enterprise‑grade AI infra or agentic products: harness, reliability, latency, security and auth, SLAs, readiness
• Redesigned workflows with AI tools to measurable impact on quality or task completion
• Worked with field, solutions, or partnerships teams on enterprise adoption
• 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

About Meta:

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.

Meta is proud to be an Equal Employment Opportunity and Aff… We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$205,000/year to $277,000/year + bonus + equity + benefits

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.