Member of Product Staff

**Summary:** Instagram is where over 3 billion people discover, create, and connect — and we've built one of the best consumer product teams in the industry to make that possible. Product Staff is how we build at Instagram: small, talent-dense teams of product builders, engineers, designers, and data scientists focused on creating amazing products directly. Beyond setting strategy, Members of the Product Staff create directional design, analyze data hands-on, and leverage AI tools to move faster with fewer handoffs. We are looking for product builders who value moving quickly and embrace AI-native product development. **Required Skills:** Member of Product Staff Responsibilities: 1. Vision & Strategy: 2. Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies and roadmaps in the context of broader organizational strategies and goals. 3. Generate buy-in and drive consensus across organizations. 4. Bring clarity and structure to ambiguous opportunities. 5. Consistently demonstrate initiative and execute with limited oversight. 6. Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis. 7. Produce strategic product visions that define market categories supported by directional design artifacts and prototypes. 8. Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement. 9. Leadership & Collaboration: 10. Drive product development with teams of engineers and designers, while maintaining team health. 11. Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones. 12. Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale. 13. Foster a culture of rapid experimentation and learning that becomes a competitive advantage. 14. Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially. 15. Execution & Prioritization: 16. Plan, initiate, and manage information technology projects for web-based products, applications, and platforms. 17. Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale. 18. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm. 19. Technical / Analytical / Design: 20. Use AI-enabled tools to build products—setting the standard for product technical capability. 21. Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning at the frontier. 22. Demonstrate expert understanding of system/architecture trade-offs and how they impact user experience and business outcomes 23. lead strategic technical decisions with engineering leadership. 24. Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity. 25. Evaluate existing design systems and tooling for sufficiency, driving improvements in partnership with specialist designers and tooling teams. 26. Communication: 27. Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for the audience (XFN partners, execs, engineering, etc.). 28. Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry. 29. Measurement & Impact: 30. Inform experimentation strategy 31. define and analyze metrics that inform the success of products and produce strategic product narratives supported by rigorous data analysis. 32. Identify and track key performance metrics. 33. Drive decision-making through user insights, quantitative analysis and AB testing. 34. Design sophisticated experiments and interpret results (leveraging AI) and drive strategic product decisions. 35. Define and run evaluations (evals) to interpret model outputs at scale—establishing evaluation as a strategic capability for AI-powered experiences. 36. Assess data infrastructure and tooling for gaps, partnering with specialist teams to drive improvements. **Minimum Qualifications:** Minimum Qualifications: 37. 10+ years of experience working collaboratively with engineering, design and user research teams 38. Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution 39. 10+ years product management and/or Product Design 40. Experience presenting to executive audiences 41. Demonstrated proficiency using AI-enabled tools to build product artifacts at scale 42. Experience developing and championing AI-native strategies across organizations 43. Critical thinking and analytical leadership experience **Preferred Qualifications:** Preferred Qualifications: 44. Experience in a consumer focused technology company 45. Experience building AI driven products from inception, platform/ecosystem products, or marketplaces 46. Track record of scaling AI best practices across organizations 47. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 48. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 49. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies **Public Compensation:** $205,000/year to $277,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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.