Technical Program Manager, AI/ML

Technical Program Manager, AI/ML at Meta

The Meta Technical Program Management (TPM) community pioneers technologies to bring people and businesses closer together at a global scale. TPMs operate at the cross-section of technical execution and business strategy, partnering closely with Engineering and Product teams. Being a Technical Program Manager, AI/ML at Meta means driving significant impact by delivering measurable results across a wide range of areas, including defining high-level goals, roadmaps, monitoring progress, and establishing functional requirements for new products and features. This role demands a strong technical background, understanding of system architecture, and experience in effective cross-functional and cross-organizational collaboration to deliver impact.

As a Technical Program Manager, AI/ML for the Monetization Ranking and Foundations AI team, you will be responsible for delivering substantial business value through ML innovations and the development of state-of-the-art Ads Recommendation technologies. You will collaborate with Infra and ML Ranking teams, comprising talented ML engineers, product managers, data scientists, and other cross-functional members, to build advanced modeling techniques and effective tools and strategies to streamline the model productionization process, all while upholding a high quality bar. You’ll communicate progress and drive program execution efficiently through collaborative efforts to achieve business goals. This role is integral to driving technical strategy, system architectural discussions, and making future-proof decisions that align with product strategy and vision.

Technical Program Manager, AI/ML 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, 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.
• 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 initiatives.

Minimum Qualifications:

• B.S. in Computer Science or a related technical discipline, or equivalent experience.
• 10+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience.
• Experience driving and delivering complex AI/ML tech programs or products from inception to delivery.
• Experience defining strategic direction and identifying new opportunities for impact amongst products, platforms, and programs.
• Knowledge of user needs, gathering requirements, and defining scope.
• Experience operating independently across multiple teams and functions, demonstrated critical thinking, and thought leadership.
• Communication experience at executive level and experience influencing Leadership and technical management teams to develop systems, solutions, and products.
• Organizational, coordination, and multi-tasking experience.
• Analytical and problem-solving experience with large-scale systems.
• Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones.

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 ability 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 today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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@meta.com.

Key skills/competency

• AI/ML Program Management
• Monetization Ranking
• Recommender Systems (RecSys)
• Cross-functional Leadership
• Technical Strategy
• Product Solutions Delivery
• System Architecture
• Risk Mitigation
• Stakeholder Communication
• ML Model Productionization