Product Manager, APAC

Product Manager, APAC at Meta

The Cross-Meta Foundations APAC Products' team's mission is to harness emerging trends originating in Asia-Pacific, monetize, and bring relevant solutions to other parts of the world. We define new models of building, launching, and scaling commercial solutions leveraging close proximity to markets and best-in-class partnerships with our business teams. This Product Manager, APAC role will focus on our commerce products portfolio spanning creator monetization programs, Live Shopping experiences, and brand-retailer advertising solutions to drive adoption and revenue growth across key APAC markets.

Product Manager, APAC Responsibilities:

• Be responsible for leading and driving a complex product area—defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context.
• Adapt and adjust your strategies to reflect learnings and changes in context.
• Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area.
• Identify when to stop as well as when to start investment.
• Evaluate when AI is (and isn't) the optimal solution, with sophisticated articulation of tradeoffs, risks, and second-order effects.
• Translate AI capabilities into compelling product visions that create differentiated value.
• Develop and champion AI-native strategies including comprehensive evals and data strategies that enable continuous improvement.
• Work with a cross-functional team to define a product vision, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, whilst improving team health and up-leveling the effectiveness of the team.
• Actively identify opportunities and resolve dependencies by creating shared strategies across teams in adjacent product areas.
• Reimagine workflows, responsibly using AI tools to dramatically increase team velocity and capability.
• Foster a habit of rapid experimentation and learning across the organization.
• Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the organization's capabilities compounds over time.
• Support the growth of other PMs and cross-functional team members by providing mentorship and coaching on AI-native practices.
• Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals.
• Orchestrate complex execution across multiple workstreams by combining AI automation with strategic human oversight—using AI to reduce toil while maintaining high quality and accountability.
• Communicate product strategy and progress with radical clarity to all stakeholders.
• Use AI-enabled tools to build products—independently creating tangible artifacts to prototype, validate, or ship.
• Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning.
• Demonstrate understanding of system/architecture trade-offs and how they impact user experience and business outcomes.
• Lead credible technical discussions with engineering partners.
• Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization.
• Design sophisticated experiments and interpret results (leveraging AI to accelerate analysis) and drive concrete product decisions.
• Define and run evaluations to interpret model outputs and adjust execution based on learnings—establishing evaluation as a first-class product practice across teams.

Minimum Qualifications:

• 8+ years of relevant industry experience with at least 3 years in Product Management.
• Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences).
• Experience leading cross-functional product team(s) across a full product line: Crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals.
• Experience managing a product through the full product lifecycle.
• Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product.
• Extensive understanding in analyzing large scale, complex data sets and making effective decisions based on data.
• Demonstrated proficiency using AI-enabled tools to build product artifacts.
• Experience developing and scaling AI-native strategies including evals and data strategies across teams.
• Experience integrating a broad set of requirements from a broad set of users as well as context into a single coherent product strategy.
• Experience leading and motivating teams and influencing across an organization.
• Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels.
• Experience identifying and hiring the right talent to build an AI-capable cross-functional team.

Preferred Qualifications:

• Familiarity and/or experience building within commerce, creator economy, or advertising partnership ecosystems.
• Demonstrated track record of with AI-native ways of working and a mindset for agile, iterative experimentation.
• Leads and motivates a team of engineers and other cross-functional representatives, and maintains team health.
• Incorporate data, research and market analysis-with a focus on APAC-originated trends - to inform product strategies and roadmaps that can scale globally.
• Understand Meta's strategic and competitive position in commerce and creator monetization to deliver products that are aligned with our mission and recognized best in the industry.
• Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.

Key skills/competency:

• Product Management
• AI-Native Strategies
• Commerce Products
• Creator Monetization
• Live Shopping
• APAC Market Strategy
• Cross-functional Leadership
• Data Analysis
• Experimentation Design
• Stakeholder Communication