Product Ops Manager, Facebook Social & Meta AI
Description
Meta is seeking a Product Operations Manager to join Facebook Product Operations and drive product quality, AI-powered automation, and operational excellence across FB's surfaces, specifically Social's hypergrowth app releases. We are in the middle of a transformation, becoming an AI-driven, individual-contributor-led organization that scales through orchestration, deep product expertise, and technical excellence. Our team is building and operating autonomous agents that handle end-to-end workflows (triage, bug resolution, launches, dogfooding, evals) with minimal human intervention. If you're energized by owning complex quality programs end-to-end, building and operating AI-driven workflows, and driving measurable product improvements in a fast-paced environment, this role is for you. You will be responsible for investigating and communicating the quality of FB's products to engineering, product, design, and other cross-functional partners. You will own AI builds for collecting, generating, and triaging reported quality issues. Additionally, you will partner with product and engineering teams to implement process and tooling improvements focused on driving developer efficiency, resolution of issues, and improved product quality.
Responsibilities
Become an expert in the health and quality of Facebook's Social and AI products, identifying trends, regressions, and user pain points through data analysis and hands-on product usage Own end-to-end product quality programs for your area, including launches, dogfooding, root cause analyses, incident reviews, and app health regressions automating first and operating with high reliability Design, build, and operate autonomous AI agents and workflows for your product area: bug triage, prioritization, classification, deduplication, and resolution Partner with engineering and product teams to drive resolution of high-priority issues and influence product roadmap based on quality insights Prepare communication materials and progress tracking for multiple audiences including delivering updates to leadership stakeholders Collect, analyze, and leverage data to identify quality trends and inform product decisions; build dashboards and metrics to drive data-driven decision making Build and maintain an evaluation (evals) practice for your area, ensuring AI solutions meet accuracy thresholds through LLM judges, labellers, and governance frameworks Assess and improve existing AI solutions within your scope, driving migration to standard platforms and partnering with AI Implementations leadership on scaling decisions Coordinate with cross-functional teams and Foundations partners to align on org-wide priorities and share best practices Design and operate AI workflows that comply with Facebook data sensitivity guardrails, ensuring quality signals are collected and processed within encryption boundaries and privacy-first constraints
Qualifications
Bachelor's degree in a directly related field, or equivalent practical experience 5+ years of related strategy, operations, consulting, or data analyst experience Analytical experience using data to tell a story and influence product direction using intermediate to advanced SQL Experience building or deploying AI/ML solutions or automation in production workflows Strong communication skills with ability to influence multiple cross-functional stakeholders and senior leadership Experience breaking down ambiguous issues into component parts to develop and implement solutions Experience with AI products / platforms, with understanding of mobile-first product behaviors, encryption, and multi-platform feature parity Prior experience working on or with Facebook or comparable large-scale messaging products Experience in product quality, QA, or technical program management Familiarity with LLMs, AI agents, or ML evaluation frameworks Experience operating effectively in organizations with minimal hierarchy, taking ownership of workstreams with high individual autonomy Experience working with global/remote teams
Compensation: $123,000/year to $179,000/year + bonus + equity + benefits