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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Monetization Ranking and Foundations AI - **Company:** Facebook Inc. - **Location:** Bellevue, WA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Computer Engineering, Software Engineering, Systems Architecture, Large Language Models - **Published:** August 7, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27912257/Technical-Program-Manager-Monetization-Ranking-Foundations-Ai-Washington-Bellevue-7418 ## About the Role * 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) ## 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. Technical Program Manager, Monetization Ranking and Foundations AI 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 ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Model Based Systems Engineering in an Agile Product Development Process](https://www.wearedevelopers.com/videos/68-model-based-systems-engineering-in-an-agile-product-development-process) - [Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client](https://www.wearedevelopers.com/videos/100311-swapping-a-data-warehouse-at-runtime-zero-downtime-migration-without-changing-a-single-client) - [The Avengers Initiative (Practical Ethics for Software Engineers)](https://www.wearedevelopers.com/videos/2070-the-avengers-initiative-practical-ethics-for-software-engineers) - [Beyond the Hype: Real-World AI Strategies Panel](https://www.wearedevelopers.com/videos/916-beyond-the-hype-real-world-ai-strategies-panel) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)