Director, Technical Program Management (Ranking AI)

Skip to main content Director, Technical Program Management (Ranking AI) Meta Sunnyvale, CA Apply Join or sign in to find your next job Join to apply for the Director, Technical Program Management (Ranking AI) role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Director, Technical Program Management (Ranking AI) Meta Sunnyvale, CA 1 week ago 56 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Director, Technical Program Management (Ranking AI) role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $245,000.00/yr - $309,000.00/yr Ranking AI is the central core machine learning org within Meta’s Monetization group, powering Meta’s revenue and business growth by advancing and deploying state-of-art Recommendation Systems AI for our Ads stack. We are currently redesigning the large and fragmented Ads model space by developing new modeling architectures, advancing the scale limit through model-hardware co-design, and developing techniques that better leverage anonymized, aggregated data. While there is significant focus on innovation, we pride ourselves in being able to translate research to production with high velocity, delivering on half on half aggressive revenue targets in a predictable fashion.The ideal candidate will bring hands-on experience in driving product and program growth through machine learning (ML) technologies, with a proven track record of leading AI-powered projects that span across modeling teams and require close collaboration with infrastructure teams. They will have a strong background in building and growing teams and have a comprehensive understanding of the full machine learning lifecycle—from raw data to features and modeling to training, inference, and debugging.Adept in navigating ambiguity and competing priorities, the candidate will thrive in an entrepreneurial, fast-paced environment. They will have a keen ability to sift through complex information, distill key insights, and up-level critical data to drive informed decision-making at all levels. They are not only skilled at leading teams and developing high-level strategic...