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Technical Program Manager, Ranking AI: Meta

Feb 8, 2026   |   Location: Sunnyvale, CA, Bellevue, WA, Menlo Park, CA, Seattle, WA   |   Deadline: Not specified

Experience: Senior

Continent: North America

Salary: $140,000/year to $198,000/year + bonus + equity + benefits

The Meta Technical Program Management (TPM) community is pioneering technologies to bring people (and businesses) closer together at a global scale. TPMs work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering and Product teams. Being a TPM at Meta means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining functional requirements for new products and features. It also means having a solid technical background, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact.

As a Technical Program Manager (TPM), for the Monetization Ranking and Foundations AI team, you will be responsible for delivering significant business value through ML innovations and development of State of the Art Ads Recommendation technologies. You will work with Infra and ML Ranking teams of experienced ML engineers, product managers, data scientists, and other cross-functional team members to build state of the art Modeling techniques and build effective tools (and strategy) to streamline model productionization process while holding a high quality bar.

You will efficiently communicate progress and lead program execution by collaborating across functions and organizations to achieve business objectives. As a key team member, you will help shape technical strategy, guide system architecture discussions, and make decisions that support long-term product strategy and vision.
Technical Program Manager, Ranking AI Responsibilities
Develop and manage end-to-end technical AI/ML product solutions and ensure on-time delivery
Manage and own cross-functional products and programs execution in a matrix organization
Drive and influence technical and product strategy, proactively identify risks and develop mitigation strategies, align on priorities, and set direction for a broadly cross-functional area
Help define the roadmap and long-term strategy of the teams that you are working with
Design measurements to track impact and drive internal process improvements
Effectively communicate the technology, requirements, goals, and milestones of your team
Move fast in a flat organization by working in concert with technical program managers, product managers and engineers across Meta to establish a shared vision for improving execution and building solutions
Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders
Help drive product decisions to align with higher company initiative
Minimum Qualifications
Bachelor of Computer Science or a related technical discipline, or equivalent experience
7+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience
Communication experience and experience working with technical management teams to develop systems, solutions, and products
Experience delivering tech programs or products from inception to delivery
Knowledge of user needs, gathering requirements, and defining scope
Experience collaborating across multiple teams and functions, demonstrated critical thinking, and thought leadership
Organizational coordination experience and experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones
Analytical and problem-solving experience with large-scale systems
Preferred Qualifications
Extensive knowledge of Recommender Systems (RecSys), Machine Learning (ML) and Artificial Intelligence (AI) concepts, including their impact on infrastructure
Hands-on experience building machine learning models and/or recommender systems, with the capacity to clearly explain foundational ML concepts
Familiarity with ML development workflows, model lifecycle management, and experimentation frameworks
Experience with AI training environments and resource capacity planning
Knowledge of digital advertising platforms and ads monetization strategies
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 todayβ€”beyond the constraints of screens, the limits of distance, and even the rules of physics.
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