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Product Manager - AI [PyTorch, Training, Inference]

AT Meta
Meta

Product Manager - AI [PyTorch, Training, Inference]

New York, NY

AI is central to everything we do at Meta: helping people express themselves, bringing the world closer together, and everything in between. We are excited to announce an opportunity for full-time AI-focused product roles where you'll be working at the forefront of AI innovation in the industry. This position is integral to the development of our next-generation ML platform, which will power GenAI workflows, including Llama development, and Recommendation workflows.Building on the success of Meta's AI products in the industry, such as PyTorch and Llamas, this initiative is a chance to shape the future. As an AI Product Manager, you will be instrumental in creating new tools, solutions, and services for developing large-scale GenAI and generative recommendation models and bringing them quickly to production.We are looking for individuals who are passionate about building 0-1 products, process expertise in ML, and can go technically deep. If you enjoy writing ML models in PyTorch and developing LLMs for fun, this role is for you.

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Product Manager - AI [PyTorch, Training, Inference] Responsibilities:
  • Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals.
  • Generate buy-in and drives consensus across organizations.
  • Bring clarity and structure to ambiguous opportunities.
  • Consistently demonstrate initiative and execute with limited oversight.
  • Drive product development with teams of world-class engineers and designers, while maintaining team health.
  • Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry.
  • Work closely with cross-functional teams to drive product vision, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones.
  • Define and analyze metrics that inform the success of products.
  • Identify and track key performance metrics.
  • Drive decision-making through user insights, quantitative analysis and AB testing.
  • Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm.
Minimum Qualifications:
  • 8+ years product management and/or Product Design 8+ years of experience working collaboratively with engineering, design and user research teams.
  • Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre/post-launch execution.
  • Experience presenting to senior executive audiences.
  • BA/BS in Computer Science or related field Experience writing ML models in PyTorch.
  • Critical thinking/analytical leadership experience.
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.

$171,000/year to $238,000/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): New York, NY, USA
Job ID: a1KDp00000E29eMMAR_1002
Employment Type: Full Time

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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