Technical Program Manager, Monetization Ranking and Foundations AI

Meta; Sunnyvale (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking a Technical Program Manager (TPM) for Monetization Ranking and Foundations AI to deliver ML-driven ads recommendations and high-value business outcomes. You will partner with Infra, ML Ranking, engineering, product managers, and data scientists to build state-of-the-art modeling techniques and tools to streamline model deployment while upholding quality standards.

You'll communicate progress, define blueprints, and steer cross-functional efforts across time zones to ensure

Qualifications

• B.S. in Computer Science or a related discipline, or equivalent experience.
• 12+ years of experience in software engineering, systems engineering, hardware engineering, or technical product/program management.
• Experience delivering complex AI/ML programs or products from inception to delivery.
• Experience defining strategic direction and identifying opportunities for impact across products and platforms.
• Experience gathering requirements, defining scope, and working across multiple teams.

Responsibilities

• Define and guide high-level goals and roadmaps.
• Monitor and communicate progress across programs.
• Define functional requirements for new products and features.
• Collaborate with Engineering and Product teams to deliver impact.
• Drive technical strategy and system architectural discussions across organizations.

Skills

Strategic direction

Cross-functional collaboration

Executive communication

AI/ML program delivery

System architecture

Large-scale systems

Prompt/context engineering

Agent orchestration

Experimentation & measurement

Multi-time zone coordination

Education

B.S. in Computer Science or related technical discipline

Job description

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 technical background in system architecture and software development, 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 production deployment process while maintaining defined quality standards.

You’ll communicate progress and drive program execution efficiently through cross-functional and cross-organizational 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.

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 12+ years of experience in software engineering, systems engineering, hardware engineering, or technical product/program management
• 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 autonomously 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
• Experience organizing and coordinating work across multiple priorities based on impact, deadlines, and stakeholder needs
• Analytical and problem-solving experience with large-scale systems
• Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience working across modeling and product teams
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience evaluating model performance online and offline
• Experience with shipping products that rely on large models (LLMs and VLMs)