Meta is seeking a Product Operations Manager to join the Foundations Product Operations team. Our mission is to be the experts on quality to improve how product teams resolve user issues through AI. Those who join our team are passionate about solving user issues and are advocates for the Meta community. We need influencers who can align our engineering customers and cross-functional partners to ensure the best possible experience for our platforms. If you like working with data and helping users, Product Operations is for you.We are looking for an individual contributor with data and AI expertise who can partner with cross functional teams in complex, multi-platform user response quality efforts to build AI agents (end-to-end model lifecycle), manage the evolving ecosystem of LLM models and establish a scalable model EVALs program. This role will help ensure that Product Operations has scalable, measurable and consistent quality programs (across team-wide processes, metrics and tooling) to effectively drive production quality, development quality and product reliability by building, managing and maintaining a healthy LLM ecosystem that evolves with the growing needs of our product partners and users. Many programs need to be developed or implemented with new approaches such as our aggregated customer reporting, quality and efficiency programs with our triage specialists, driving tool and process improvements, as well as evolving our metrics and goaling operations. You’ll collaborate closely with Product, Engineering, Research, and Operations to define signals, run user-based experiments, and elevate our quality metrics across internal and external use cases.
Product Operations - Product Operations Manager, AI Operations Responsibilities:
- Establish and lead ongoing programs and systems in a fast paced, innovation-driven environment to build our critical AI model foundation, scaling best practices while also ensuring proactive and high quality model performance
- Collect, analyze, and leverage data from various sources to identify trends, patterns, and insights that can inform business decisions
- Leverage SQL and data visualization tools to monitor product metrics, understand AI trends, and support end-to-end agent optimization
- Leverage AI and automation models, prompts, and insights to optimize workflow efficiency and improve quality of our output, insights, and deliverables
- Define and lead program execution strategy for multiple areas of products and the platform, including kickstarting 0 to 1 efforts, accelerating execution, and improving quality/outcomes for product objectives via programmatic solutions
- Foster partnerships with Product, Engineering, and Product Operations leaders to align goals, streamline communication, and support business priorities as well as implement product, process, and tool improvements
- Mentor team members, providing continual support to unblock and enable them to complete their respective projects
- Design, build, and improve processes and systems that contribute to scalable AI solutions
Minimum Qualifications:
- Bachelor's degree in a directly related field, or equivalent practical experience
- 8+ years experience in product operations, ML evaluation, user research, or similar roles
- Proven track record managing large-scale, complex projects and programs that impact entire Operations and Product organizations
- Analytical skills, proficiency with data tools (SQL, Python, experimentation platforms), using data to tell a story and influence product direction
- Demonstrated experience building data pipelines, reports, dashboards (Unidash etc.), and visualizations to effectively communicate findings to executive technical stakeholders to influence decision-making
- Proactive problem solver with experience breaking down ambiguous issues into component parts to develop solutions
- Executive communication skills, particularly written communications and demonstrated experience engaging with leaders
- Stakeholder management— influencing cross-functional teams with qualitative and quantitative insights
Preferred Qualifications:
- Experience with LLM Model development and management of LLM/ Agent Ecosystems
- Knowledge and understanding of EVALs and AI Agent performance management
- Experience working with global/remote teams
- Previous leadership and personnel management experience
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 Affirmative Action employer. 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 accommodations-ext@meta.com.
$123,000/year to $179,000/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.
