Technical Program Manager, AI/ML

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 strong 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 talented 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 productionisation process while holding a high quality bar.You’ll communicate progress and drive program execution efficiently through cross-functional and cross-organisational collaboration to achieve business goals. You’ll be an integral part of the team who will drive technical strategy, system architectural discussions, and make 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 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
• 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:

• 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@fb.com.

$167,000/year to $230,000/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.