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.
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.
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
- Articulate 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 broader company initiatives
Minimum Qualifications
- 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
Preferred Qualifications
- 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)
Compensation
- $199,000/year - $272,000/year; Country: US; Bonus eligible; Equity eligible
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.
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Equal Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Accommodations
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