Product Operations Manager, Meta Superintelligence Labs

Onsite$123,000 - $179,000/yrPosted today

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Job details

Location: Menlo Park, California
Work type: Onsite
Compensation: $123,000 - $179,000/yr
Posted: today
Apply on: metacareers.com

About this role

Meta is seeking a Product Operations Manager to join Meta Superintelligence Labs Product Operations and drive product quality, AI-powered automation, and operational excellence across MSL surfaces, specifically TBD Labs. We are in the middle of a transformation, becoming an AI-driven, IC-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 MSL 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 MSL 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, RCAs, SEVs, 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 evals practice for your area, ensuring AI solutions meet accuracy thresholds through LLM judges, labelers, 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 MSL data sensitivity guardrails, ensuring quality signals are collected and processed within encryption boundaries and privacy-first constraints

Minimum Qualifications

Bachelor's degree in a directly related field, or equivalent practical experience
8+ years of experience in product operations, business operations, strategy, consulting, or technical program management within a technology or AI-focused organization
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
Experience communicating and influencing multiple cross-functional stakeholders and senior leadership
Experience solving problems and breaking down ambiguous issues into component parts to develop solutions

Preferred Qualifications

Familiarity with AI or ML product development lifecycles, including model evaluation, safety review, and deployment processes
Track record of defining operational strategy in ambiguous, fast-moving environments and driving adoption across large cross-functional organizations
Experience building or improving operational tooling such as project tracking systems, workflow automation, or data pipelines to support research or engineering teams
Experience working within an AI research, machine learning, or large-scale model development organization

Compensation

$123,000/year - $179,000/year; Country: US; Bonus eligible; Equity eligible

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.

California Notice

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

Equal Opportunity

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.

Accommodations

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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