Technical Program Manager III, Machine Learning, Pixel Software
Listed on Alphabet’s official careers site. Listed as of October 13, 2026. Check that it is still open and apply there.
Apply on Alphabet’s careers site →Job description
Minimum qualifications
Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Experience with AI/ML model development and deployment. Embedded software development experience.
Preferred qualifications
5 years of experience managing cross-functional or cross-team projects. Experience with specialized machine learning infrastructure, as well as with Android and deploying on-device ML models. Experience in building products from concept to launch on mobile devices. About the job A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe.
As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.
The Pixel Software team is responsible for core software running on Pixel devices and comprises the major software subsystems and features. In this role, you will partner with a team of software engineers to manage multiple critical AI/ML software work streams.
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