> Markdown version of [/jobs/ext/4292775-technical-program-manager-gemini-post-training-knowledge-work-deepmind](https://www.wearedevelopers.com/jobs/ext/4292775-technical-program-manager-gemini-post-training-knowledge-work-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). --- # Technical Program Manager, Gemini Post-Training, Knowledge Work, DeepMind - **Company:** DEEPMIND MATRIX - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $163,000.0 - $236,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Documentation, Large Language Models, Model Validation, Google Gemini, DeepMind - **Published:** October 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8cf0484787c51068 ## About the Role * Bachelor's degree in Computer Science or a related technical field or equivalent practical experience. * 5 years of experience in program management., * 8 years of program management experience, delivering end-to-end projects closely with research and engineering teams. * Familiarity with the LLM post-training lifecycle, including training data pipelines, SFT, RL, and model evaluation. * Proven skill navigating ambiguity and adapting strategies as research and project conditions change. * Strong communication and stakeholder management skills to influence outcomes and align technical and product teams. ## Description Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers., * Organize and optimize post-training initiatives (Supervised Fine-Tuning (SFT), Reinforcement Learning (RL), data, and evaluations) into clear goals, milestones, and release plans with research and engineering teams. * Manage end-to-end project planning and cross-functional dependencies across data pipelines, evaluation platforms, compute, and external partners to align with Gemini model releases. * Track progress, maintain program documentation, and proactively resolve technical and operational blockers across data and model development workflows. * Evaluate technical proposals, understanding trade-offs, and translate complex modeling progress into clear, decision-ready updates for leadership and cross-functional audiences. * Apply lightweight program methodologies to improve velocity and predictability while fostering a deep understanding of post-training, LLMs, and AGI research.