Product Management, Director - AI Platforms and Infra

This team is the part of AI Platforms and Infra that powers the tooling and systems behind recommendation models across Monetization, Instagram, and Facebook. The mission is simple but high-impact: help ML engineers move fast — taking an idea from authoring to training to production inference with high confidence. You will own the product strategy across four areas that define how quickly and reliably Meta ships recommendation models: MLE productivity — reduce friction in ML workflows and make iteration meaningfully faster Research-to-production velocity — shorten the cycle time from experimentation to reliable launches Quality and reliability — build tooling and systems that are robust, scalable, and trustworthy across the ML stack Foundational infrastructure — deliver capabilities spanning data, developer experience, training, and inference that unlock new recommendation quality

• Product Management, Director
• AI Platforms and Infra Responsibilities
  Own the end-to-end product strategy for Meta's recommendation systems infrastructure — spanning model authoring, training, inference, and the developer experience that ties them together
  Define how ML engineers across Monetization, Instagram, and Facebook build, train, and ship recommendation models — your decisions directly affect the quality and velocity of these products Drive MLE productivity by identifying the highest-friction points in ML workflows and building tooling that removes them
  Partner with engineering and research leaders to translate infrastructure capabilities into measurable improvements in model quality, training efficiency, and launch reliability
  Build and lead a team of product managers, setting clear charters across the ML stack and creating an environment where PMs develop conviction and ship independently
  Sequence investments across a broad portfolio — making deliberate tradeoffs between near-term MLE pain points and foundational infrastructure bets that compound over time
  Establish alignment across AI Infra, recommendation teams, and product surfaces whose competing needs shape infrastructure priorities
  Define and instrument the metrics that tell you whether MLEs are actually moving faster, models are launching more reliably, and infrastructure investments are paying off
  Lead a team through the ideation, technical development, and launch of innovative products
  Establish shared vision across the company by building consensus on strategies and priorities leading to product execution
  Drive product development with a team of world-class engineers and designers Integrate usability studies, research and market analysis into product requirements to enhance user satisfaction
  Define and analyze metrics that inform the success of products Understand Meta’s strategic and competitive position and deliver products that are recognized as best in the industry
  Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
  Attract, build, manage, and develop a talented team of product leaders with a broad range of experiences, perspectives, approaches, and backgrounds
  Manage multiple products and priorities, scale teams, and ensure org is effective, healthy and set up for success by establishing clear and measurable goals

Minimum Qualifications:

12+ years of experience in Product Management and/or equivalent relevant experience
12+ years of experience working collaboratively with engineering, design and user research teams
8+ years of experience hiring, managing, and developing both individual contributors and senior individual contributors
Critical thinking/analytical leadership experience
Strong written and verbal communication - ability to distill complex technical topics into clear documents for executive audiences
BA/BS in Computer Science or related field

Preferred Qualifications:

Deep familiarity with ML systems — training infrastructure, model serving, feature engineering, or ML data pipelines at scale
Experience building developer tools or platforms for ML engineers, data scientists, or applied researchers
Understanding of recommendation systems and the tradeoffs in ranking, retrieval, and personalization at scale
Track record of managing infrastructure products where the "user" is an internal engineer — comfort with developer experience as a product discipline

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 Whats App 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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $249,000/year to $323,000/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.

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.
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