> Markdown version of [/jobs/ext/3088908-generative-media-launches-technical-program-manager-deepmind](https://www.wearedevelopers.com/jobs/ext/3088908-generative-media-launches-technical-program-manager-deepmind). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative Media Launches Technical Program Manager, DeepMind - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $217,000.0 - $236,000.0 - **Contract:** Permanent contract - **Skills:** Computing Platforms, Google Cloud, Large Language Models, Media Technology, Generative AI, AI Platforms - **Published:** September 26, 2026 - **Apply:** https://dejobs.org/x/x/6A85C9168C56492ABB693D95955704A6/job/ ## About the Role * Bachelor's degree in a technical field or equivalent practical experience. * 5 years of experience in program management leading cross-functional projects/programs. * Experience with Generative AI. Preferred qualifications: * Experience developing, launching products, or technologies with Large Language Models (LLMs). * Experience with projects related to media technology or interactive entertainment. * Experience working with multimodal generative models or multimodal datasets. * Familiarity with computing platforms (e.g., Google Cloud Platform). ## Description * Lead complex and ambiguous programs focusing on execution and delivery. Partner with research and engineering leads to translate strategic goals into well-defined program plans, timelines, and success metrics. * Drive the end-to-end execution of large-scale initiatives, including deployment planning and coordination, infrastructure readiness, safety testing, and model evaluation processes. * Act as a key liaison between the Generative Media team and other critical DeepMind projects, including teams working on Gemini, AI Platform, Trust and Safety, Marketing and Communications, Legal and more. * Develop and implement efficient processes and systems to manage deployment and launches at scale. Identify opportunities for automation and tooling to improve research and engineering velocity. * Build strong relationships and provide clear, consistent communication to stakeholders across research, engineering, and leadership.