Product Manager, Business AI

Meta•Menlo Park, CA

About The Position

Join us in revolutionizing interactions for over 200+ million businesses using Meta's platform through Business AI Agents. These agents operate across Meta platforms like WhatsApp, Messenger, Facebook/Instagram ads, and on third-party platforms such as business websites. Messaging is a starting point for millions of businesses, as there are over a billion active threads every day between people and businesses across our messaging platforms. We are looking for a Product Manager to work on our Enterprise Business AI initiatives, bringing Business AI to the world's largest businesses through differentiated value only Meta can provide. This is an opportunity to define, build, iterate, and partner with strategic partner customers as we define AI solutions across various lines of business and channels - from WhatsApp to Third-party websites and everything in between. This is a unique early stage opportunity to help build and develop our enterprise motion and product offering, built on top of existing AI solutions leveraged by thousands of businesses. In this high-impact position, you'll make a real difference by streamlining how businesses discover, understand, and achieve results with our Business AI solutions as well as define the future growth, monetization, and go-to-market motions.

Requirements

Experience building and bring to market Enterprise solutions at scale
Experience with bespoke 1:1 customer engagements while horizontally scaling those requirements to meet broader industry wide needs
Proven customer facing and go-to-market experience
8 + years product management or related industry experience with domain-specific experience leading AI products
Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
Can navigate ambiguity of 0 to 1 and manage the time-critical demands of a high-priority workstream
Experience using AI to build software products and building AI and agents in production
Can navigate through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre/post-launch execution
Customer-centric product and design intuition
Critical thinking/analytical leadership experience
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 identifying and hiring the right talent to build an AI-experienced cross-functional team
Demonstrate experience in understanding of system/architecture trade-offs and how they impact user experience and business outcomes, lead credible technical discussions with engineering partners

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
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 an environment 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 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
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