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# Technical Program Manager, Ads Ranking

- **Company:** The Meta Game, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $168,000.0 - $234,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Content Analysis, Distributed Systems, Machine Learning, Recommender Systems, Software Deployment, AI Infrastructure, Graphics Processing Unit (GPU), Large Language Models, Functional Dependencies, Information Technology, Machine Learning Operations
- **Published:** July 28, 2026
- **Apply:** https://dejobs.org/x/x/F527EFC9D2144207AFF1876E5E3DDAFA/job/

## About the Role

Technical Program Manager, Ads Ranking Responsibilities, 12. Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience

 13. 10+ years of leadership experience in software, hardware, or systems engineering and technical program management, with deep expertise in ML infrastructure, monetization platforms, or large-scale recommendation systems
 14. Proven track record of delivering complex, mission-critical ML/AI technology programs from architectural inception through global-scale production deployment
 15. Proven experience in delivering complex ML/AI technology programs from inception to production at scale
 16. Exceptional ability to transform ambiguous technical challenges into actionable, high-impact strategies, with a history of driving systemic improvements in reliability, efficiency, and developer velocity
 17. Demonstrated analytical and problem-solving skills for large-scale ML/AI systems
 18. Strong executive presence with a proven ability to synthesize deep technical complexity into clear strategic narratives for leadership
 19. Hands-on experience with large language models, machine learning, and scaling distributed systems, including advertising auction dynamics and revenue-critical infrastructure
 20. Effective communication skills, with experience in influencing executive leadership and technical management teams
 21. Strong understanding of large language models, machine learning, and scaling distributed systems for advertising workloads and auction dynamics, 22. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 23. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 24. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 25. Previous experience with ads delivery systems, revenue-critical infrastructure, and content understanding for monetization and/or recommendation system is preferred

## Description

1. Orchestrate and align cross-functional teams to deliver against ambitious ML/AI infrastructure objectives, ensuring absolute clarity and executive accountability
 2. Forge strategic partnerships with senior engineering, hardware, and research leadership to define long-term roadmaps for platform scaling and infrastructure prioritization
 3. Drive the technical execution for the integration of next-generation AI accelerators (GPUs, ASICs) and distributed machine learning systems
 4. Design and implement high-level communication frameworks to synthesize program health, risk profiles, and strategic shifts for executive leadership and global stakeholders
 5. Mitigate complex cross-functional dependencies and systemic risks by dynamically re-engineering scope and resources to maintain project momentum and on-time delivery
 6. Command the end-to-end lifecycle of infrastructure programs, encompassing deep technical analysis, architectural design, and rigorous production deployment
 7. Engineer and track mission-critical success metrics and performance benchmarks for ML infrastructure, fostering a culture of continuous improvement and technical rigor
 8. Anticipate and address complex, long-term infrastructure challenges in partnership with engineering and research leaders
 9. Advance Ads Ranking strategy by integrating state-of-the-art AI techniques into the core architecture of monetization systems
 10. Champion process improvements and automation to streamline workflows and reduce manual effort across ML/AI infrastructure teams
 11. Foster innovation, reliability, and efficiency in scaling ML/AI systems at Meta


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