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Product Manager, Machine Learning

AT Meta
Meta

Product Manager, Machine Learning

Sunnyvale, CA

In this role, you will develop and execute a strategy to enhance Ad supply personalization on FB App. You will spearhead innovative approaches to predict user engagement and optimize ad value, significantly boosting the efficiency and accuracy of our ad supply system.

Product Manager, Machine Learning Responsibilities:

  • Plan, initiate, and manage information technology projects for web-based products and platforms.
  • Lead the ideation, technical development, and launch of innovative tools, platforms, and/or products.
  • Drive product development with teams of world-class engineers and designers, while maintaining team health.
  • Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.
  • Integrate usability studies, research, and market analysis into product requirements to improve engineer productivity and enhance user satisfaction.
  • Define and analyze metrics that inform the success of products. Identify and track key performance metrics.
  • Understand Facebook's strategic and competitive position and 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.
Minimum Qualifications:

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  • 5+ years product management or related industry experience
  • Product management or related industry experience in one of the following areas: Machine Learning based personalization, ranking or recommendations services, or ad-tech
  • Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and 2+ years of experience in the following:
  • Experience product management or product design
  • 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
  • Experience analyzing complex, large-scale data sets and making decisions based on data
  • Experience gathering requirements across diverse areas and users, and converting and developing them into a product solution
  • Technical experience with analytical tools, methodologies, and design
  • Displaying leadership, organizational and execution skills
  • Proven communication skills
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): Sunnyvale, CA, USA
Job ID: a1KDp00000E2K0XMAV
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

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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