Technical Program Manager, Ranking AI

About the Role

The Meta Technical Program Management (TPM) community pioneers technologies to bring people and businesses closer together at a global scale. Technical Program Manager, Ranking AI roles operate at the cross-section between technical execution and business strategy, partnering 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. This role requires a solid technical background, understanding system architecture, and experience to effectively collaborate across functions and organizations to deliver impact.

As a Technical Program Manager, 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 effective tools (and strategy) to streamline the 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.

Responsibilities

• Develop and manage end-to-end technical AI/ML product solutions and ensure on-time delivery.
• Manage and own cross-functional products and program 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.

Key skills/competency

• Machine Learning
• Artificial Intelligence
• Recommender Systems
• Technical Program Management
• Cross-functional Collaboration
• Product Strategy
• System Architecture
• Risk Management
• Stakeholder Communication
• Ads Monetization