Product Manager, Business Agents Quality

Meta Meta · Big Tech · New York, NY

Meta is seeking a Product Manager to own quality for their Business Agents product, a key priority for growing non-ads revenue. The role involves defining quality standards, building measurement and feedback loops, and partnering with various teams to improve agent interactions. The PM will also own the skills platform to expand agent capabilities. This is a horizontal, high-leverage role focused on ensuring AI agents earn trust at scale.

What you'd actually do

  1. Own the end-to-end quality measurement stack: evals, online quality metrics, customer feedback loops, escalation pipelines
  2. Represent the customer's voice — turn transcript reads, support tickets, and research into product requirements
  3. Own the skills platform that enables the Business Agent to expand its capabilities
  4. Define the quality strategy and roadmap for business agents
  5. Drive the prioritization and execution of model, prompt, tool-use, and product changes that raise agent quality

Skills

Required

  • 8+ years of relevant industry experience with at least 3 years in Product Management
  • Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
  • Strong interest in AI
  • Ability to operate horizontally across multiple product teams and align partners around a shared quality bar
  • Comfort with ambiguity and the pace of a 0→1 org
  • Customer-centric instincts; willingness to read agent transcripts, run user research, and act on what you learn
  • Work closely with research, design, engineering, and data science to identify quality gaps and ship fixes fast
  • Own the end-to-end quality measurement stack: evals, online quality metrics, customer feedback loops, escalation pipelines
  • Represent the customer's voice — turn transcript reads, support tickets, and research into product requirements
  • Own the skills platform that enables the Business Agent to expand its capabilities
  • Define the quality strategy and roadmap for business agents
  • Drive the prioritization and execution of model, prompt, tool-use, and product changes that raise agent quality
  • Build the operating cadence (dashboards, reviews, escalations) that keeps quality visible to leadership and embedded in every pod's roadmap
  • Direct experience defining and improving quality for generative AI systems — evals, human-in-the-loop pipelines, model behavior tuning, hallucination and safety mitigations
  • Experience with B2B / SMB customer-driven development
  • Experience with conversational AI, agents, or messaging products at scale
  • 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

What the JD emphasized

  • Direct experience defining and improving quality for generative AI systems — evals, human-in-the-loop pipelines, model behavior tuning, hallucination and safety mitigations
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Other signals

  • Business Agents are one of Meta’s top level company priorities
  • high visibility and impact role
  • key bet on growing Meta’s non-ads revenue
  • own quality for business agents
  • define what "good" means for an agent response
  • build the measurement and feedback loops
  • partner across Interfaces teams
  • raise the bar on every interaction
  • own our skills platform
  • enable every team at Meta to help expand the Business Agent’s capabilities
  • horizontal, high-leverage role
  • thinks rigorously about quality
  • navigate ambiguity
  • shape how AI agents earn trust at scale