Job Information
Meta Product Manager - AI [PyTorch, Training, Inference] in Seattle, Washington
Summary:
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.
Required Skills:
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:
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.
Public Compensation:
$171,000/year to $238,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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.
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