Product Manager - Enterprise Solutions

**Summary:** Meta is building the future of AI-powered enterprise solutions, with APAC at the center. We're standing up forward-deployed engineering (FDE) pods to ship AI-enabled enterprise products for the region's largest partners.The Product Manager will own the AI-enabled enterprise product for APAC end to end, turning Meta's foundational models and agent platform into deployed, revenue-generating solutions for marquee enterprises across India and Southeast Asia. Working forward-deployed with engineering and directly with partners, you'll ship agentic products, define the evaluation and data strategies behind them, and drive measurable enterprise outcomes.This is a 0-to-1 enterprise builder role focused on applied AI, with executive visibility and commercial impact. AI is the core of the role, not a feature. For an AI-native builder, it's the opportunity to own applied enterprise AI at scale in high-growth regions. **Required Skills:** Product Manager - Enterprise Solutions Responsibilities: 1. 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 2. Generate buy-in and drive consensus across organizations. Bring clarity and structure to ambiguous opportunities. Consistently demonstrate initiative and execute with limited oversight 3. Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis 4. Translate AI capabilities into compelling, differentiated product visions that define market categories 5. Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement 6. Drive product development with teams of engineers and designers, while maintaining team health 7. 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 8. Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale 9. Foster a culture of rapid experimentation and learning across the team 10. Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially 11. Plan, initiate, and manage information technology projects for web-based products, applications, and platforms 12. Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale 13. Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm 14. Use AI-enabled tools to build products—setting the standard for PM technical capability 15. Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning at the frontier 16. Demonstrate expert understanding of system/architecture trade-offs and how they impact user experience and business outcomes 17. lead strategic technical decisions with engineering leadership 18. Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity 19. 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.) 20. Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and competitive in the industry 21. Define and analyze metrics that inform the success of products. Identify and track key performance metrics. Drive decision-making through user insights, quantitative analysis and AB testing 22. Design sophisticated experiments and interpret results (leveraging AI) and drive strategic product decisions 23. Define and run evaluations (evals) to interpret model outputs at scale—establishing evaluation as a strategic capability for AI-powered experiences **Minimum Qualifications:** Minimum Qualifications: 24. 10+ years product management and/or Product Design 25. 10+ years of experience driving cross-functional product development with engineering, design, and user research teams 26. Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution 27. Critical thinking and analytical leadership experience 28. Demonstrated proficiency using AI-enabled tools to build product artifacts at scale 29. Experience developing and championing AI-native strategies across organizations 30. Experience presenting to executive audiences **Preferred Qualifications:** Preferred Qualifications: 31. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 32. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 33. Track record of scaling AI best practices across organizations 34. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 35. Experience in a consumer focused technology company 36. Experience building 0-1 AI-native products, platform/ecosystem products, or marketplaces **Industry:** Internet