Product Manager

Menlo Park, CA

Meta

Giving people the power to build community and bring the world closer together

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Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.Product Manager Responsibilities
  • Build world class infrastructure, platforms, software and services that enable fundamental AI workloads across Meta.
  • From Generative AI workloads that enable the next generation of content understanding and creation, to recommendation and ranking models that drive Meta's engagement and monetization, define state of the art solutions leveraging best-in-class internal infrastructure.
  • Anticipate customers' unmet or unknown needs and market opportunities for enhancements or development and new products/services via quantitative and qualitative analyses and scopes the impact and prioritization of a problem.
  • Partner closely with ML engineers, researchers, software engineers and thought leaders in the AI space to capture feedback and insights through the product development lifecycle and defining the user experiences that span the end to end machine learning lifecycle.
  • Ensure alignment between the roadmap for the multiple features (eg product, service) across divisional boundaries.
Minimum Qualifications
  • Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Business Administration, or related field, and 96 months of experience in the job offered or a related occupation.
  • Requires 24 months of experience in each of the following:
  • 1. Product management or software development, including methodologies and tools to plan, execute, and track initiatives
  • 2. Distributed computing ecosystem in Data Infrastructure or AI Infrastructure
  • 3. Designing and shipping complex products for developers, and ML professionals
  • 4. Managing and optimizing Data/AI infrastructure, including hardware resources, cloud computing platforms (e.g. AWS, GCP), and data storage utilizing containerization and
    orchestration tools, including Docker or Kubernetes
  • 5. Large scale data, AI and machine learning concepts, frameworks, and technologies
  • 6. AI infrastructure components, including GPU clusters, data storage solutions, model training pipelines, and deployment platforms
  • 7. Gathering requirements across diverse areas and users, and converting and developing them into a product solution
  • 8. Designing simple and intuitive user interfaces and creating examples through wireframes and mockups and
  • 9. Collaborate effectively with cross-functional teams, including data scientists, engineers, and business stakeholders.
For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$294,496/year to $320,100/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.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Tags: AWS Computer Science Docker Engineering GCP Generative AI GPU Kubernetes Machine Learning ML infrastructure Model training Physics Pipelines VR

Perks/benefits: Career development Equity / stock options Health care Salary bonus

Region: North America
Country: United States

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