Product Manager, Support

Meta•Menlo Park, CA

About The Position

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly and lead AI-native product development at scale. 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. Critically 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-levelling 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 culture of rapid experimentation and learning across the organization. Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the org's capability 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 deep 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 (evals) to interpret model outputs and adjust execution based on learnings—establishing evaluation as a first-class product practice across teams.

Requirements

8+ years of relevant industry experience
At least 3 years in Product Management
Bachelor's degree (or relevant degree equivalent) in a STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
Experience in a consumer-focused technology company
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 diverse 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 organisation
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
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Responsibilities

Lead and drive a complex product area.
Define success, prioritize problems, and identify the best strategies.
Adapt and adjust strategies based on learnings and changes in context.
Drive consensus on prioritizing and realizing significant opportunities.
Identify when to stop and when to start investment.
Critically evaluate AI as a solution, articulating tradeoffs, risks, and second-order effects.
Translate AI capabilities into compelling product visions.
Develop and champion AI-native strategies, including comprehensive evals and data strategies.
Define a product vision, develop a roadmap, and drive progress against goals and milestones with a cross-functional team.
Resolve challenges and blockers, improving team health and effectiveness.
Identify opportunities and resolve dependencies by creating shared strategies across teams.
Reimagine workflows using AI tools to increase team velocity and capability.
Foster a culture of rapid experimentation and learning.
Scale AI best practices, workflows, and artifacts across product teams.
Support the growth of other PMs and cross-functional team members through mentorship and coaching on AI-native practices.
Influence strategy and progress across partner functions.
Orchestrate complex execution across multiple workstreams using AI automation and human oversight.
Communicate product strategy and progress with clarity to all stakeholders.
Use AI-enabled tools to build products, creating tangible artifacts to prototype, validate, or ship.
Interpret research and learnings to design product strategy and apply logical reasoning.
Demonstrate understanding of system/architecture trade-offs and their impact on user experience and business outcomes.
Lead technical discussions with engineering partners.
Gather and analyze user research and market analysis to inform product decisions.
Design and interpret sophisticated experiments, leveraging AI for analysis.
Define and run evaluations (evals) to interpret model outputs and adjust execution based on learnings.
Establish evaluation as a first-class product practice across teams.