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.
Product Manager, Business AI 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
Minimum Qualifications:
- 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
Preferred Qualifications:
- 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
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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.
$173,000/year to $241,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.