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Product Manager, Enterprise Artificial Intelligence

AT Meta
Meta

Product Manager, Enterprise Artificial Intelligence

Menlo Park, CA

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. This role is for PMs willing to help us imagine what the enterprise of the future looks like and then get it done. They will work across multiple aspects of an enterprise and partner with relevant business teams to achieve a bold vision.

Product Manager, Enterprise Artificial Intelligence Responsibilities:

  • Be the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals.
  • Incorporate data, research and market analysis to inform product strategies and roadmaps.
  • Collaborate across the organization to define an AI first, bold vision and inspire others to follow this vision.
  • Lead and motivate a team of engineers and other cross-functional representatives, and maintain team health.
  • Maximize efficiency in a constantly evolving environment where the process is fluid and path-breaking solutions are the norm.
Minimum Qualifications:

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  • 5+ years product management or related industry experience with domain specific experience in AI, ML and/or Gen AI.
  • Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.
  • Experience working in a technical environment with a broad, cross functional team to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.
  • Experience delivering technical presentations, and authoring documents with extreme clarity.
  • Experience in analyzing complex, large-scale data sets and making decisions based on data.
  • Experience in collaboratively and creatively gathering requirements across diverse areas and users, and converting and developing them into a product solution.
Preferred Qualifications:
  • Experience going through a full product lifecycle of an AI, ML or Generative AI product, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution.
  • Enthusiasm and adaptability in a constantly evolving environment where the process is fluid and path-breaking solutions are the norm.
  • Skill to manage ambiguity and unpredictability especially when dealing with AI, ML or Generative AI.
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@fb.com.

$142,000/year to $201,000/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.

Client-provided location(s): Menlo Park, CA, USA
Job ID: a1KDp00000E2OmGMAV
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)

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