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. Responsible for leading a product area 2. defining success metrics, identifying measurement opportunities, building metrics frameworks, prioritizing product problems and identifying the best strategies for the product, aligned with the organizational goals. 3. Adapt and adjust your strategy to reflect learnings and changes in the product. 4. Critically evaluate when AI is (and isn't) the right solution for user problems, with clear articulation of tradeoffs and risks. 5. Maintain consistent UX quality by knowing when tool-generated output is sufficient vs. 6. when specialist designer input is needed for production-quality craft. 7. Produce strategic product visions that define market categories supported by directional design artifacts and prototypes. 8. Develop AI-native strategies including evals strategy and data strategy that enable iteration and measurable quality improvements. 9. Leverage AI for identifying opportunities through deep market research, user feedback synthesis, and competitive analysis. 10. Work with a cross-functional team to define a product, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, while maintaining team health. 11. Reimagine workflows, responsibly using AI tools to increase personal and team velocity (e.g., faster synthesis, clearer decision docs, tighter iteration loops). 12. Foster a culture of rapid experimentation and learning, especially around AI-powered product development. 13. Scale AI best practices (including responsible AI use) and proficiency across product teams to multiply impact. 14. Coordinate proactively across partner functions for product success. 15. Structure shared roadmaps for best outcomes. 16. Orchestrate complex execution across multiple workstreams by combining AI automation with appropriate human oversight. 17. Communicate product strategy and progress with clarity to all stakeholders. 18. Interpret research and state-of-the-art learnings to design product strategy and apply logical reasoning. 19. Understand system/architecture trade-offs and how they impact user experience and business priorities and engage credibly with engineering partners on constraints and decisions. 20. Design experiments and interpret results (leveraging AI to accelerate analysis) and turn insights into concrete decisions. 21. Partner with Data Science on complex experiment design and setup. 22. Define and run evaluations (evals) in partnership with Data Science or Engineering to interpret model outputs and adjust execution based on learnings—treating evaluation as a first-class product practice. 23. Create interactive prototypes using modern tools sufficient for user testing and engineering specs. 24. Rapidly generate multiple design explorations during planning and roadmap sessions. **Minimum Qualifications:** Minimum Qualifications: 25. 5+ years of relevant industry experience with at least 2 years in Product Management 26. Experience managing a product through multiple product life cycle phases 27. Proven experience to drive a material change in the performance of a product and the effectiveness of the team that delivers that product 28. Demonstrated experience to analyze large scale, complex data sets and making effective decisions based on data 29. Experience using AI-enabled tools to build product, prototypes, or other tangible product artifacts 30. Demonstrated ability to develop AI-native strategies including evals and data strategies 31. Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy 32. Experience leading and motivating a product team and collaborating with partner teams 33. Demonstrated experience in communication, bringing extreme clarity to complex and technical messages at the appropriate level for the audience **Preferred Qualifications:** Preferred Qualifications: 34. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 35. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 36. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies **Public Compensation:** $146,000/year to $204,000/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.