Meta(Meta Platforms)岗位: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 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.
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.
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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Equal Employment Opportunity Metais 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 support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
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