Technical Program Manager, Ads Ranking - Meta

Technical Program Manager, Ads Ranking Responsibilities:

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

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience
• 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
• Proven track record of delivering complex, mission-critical ML/AI technology programs from architectural inception through global-scale production deployment
• Proven experience in delivering complex ML/AI technology programs from inception to production at scale
• 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
• Demonstrated analytical and problem-solving skills for large-scale ML/AI systems
• Strong executive presence with a proven ability to synthesize deep technical complexity into clear strategic narratives for leadership