Product Operations Manager, Central and Standalone Products

Meta is seeking a Product Operations Manager to strengthen operational excellence and data-informed decision-making across its Central and Standalone Products portfolio. In this onsite role in Austin, you will work closely with product, engineering, design, and data science teams to spot operational gaps, build scalable processes, and turn product and business data into clear, actionable insights.

What you’ll do

• Partner with product and engineering teams across Central and Standalone Products to identify operational inefficiencies and design scalable solutions that improve team velocity and product quality
• Build and maintain dashboards, reporting frameworks, and metrics systems for visibility into product health, launch readiness, and key performance indicators
• Use SQL and business intelligence tools for structured data analysis to surface trends, diagnose issues, and inform product and operational decisions
• Define and manage operational rhythms including planning cycles, cross-functional syncs, and progress tracking for the product portfolio
• Translate ambiguous business and product questions into well-scoped analytical workstreams with clear outputs and stakeholder-ready deliverables
• Collaborate with data science, finance, and operations to align on shared metrics definitions and reporting standards
• Support product launch operations by coordinating readiness reviews, tracking dependencies, and communicating status to relevant stakeholders
• Develop written materials such as executive summaries, operational reviews, and strategic briefs covering product performance and operational priorities
• Identify opportunities to automate manual workflows and reporting using available tooling to reduce operational overhead
• Contribute to team-level planning by synthesizing input across product areas and helping prioritize initiatives based on impact and feasibility

Required qualifications

• Bachelor’s degree in a directly related field, or equivalent practical experience
• 6+ years of experience in product operations, business operations, strategy, or a related analytical function
• Experience using SQL to extract, manipulate, and analyze large datasets to answer business and product questions
• Experience building dashboards or reporting frameworks with business intelligence tools to track product or operational metrics
• Experience managing cross-functional projects and communicating progress and findings to stakeholders across product, engineering, and business functions
• Experience breaking down ambiguous problems into structured analytical frameworks and delivering actionable recommendations

Technologies

• SQL, Python

Preferred qualifications

• Familiarity with product development lifecycles and experience coordinating operational processes around product launches or roadmap planning
• Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact such as efficiency gains or quality improvements
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience with Python or other scripting languages for data analysis or workflow automation
• Experience supporting a portfolio of multiple products or product lines simultaneously within a large technology organization
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Compensation and eligibility

• $123,000/year to $179,000/year + bonus + equity + benefits
• Individual compensation is determined by skills, qualifications, experience, and location; base compensation details listed do not include bonus, equity or sales incentives
• Meta is an Equal Employment Opportunity and Affirmative Action employer and participates in the E-Verify program in certain locations, as required by law
• Reasonable accommodations are available for candidates with disabilities; contact [email protected] in the recruiting process