> Markdown version of [/jobs/ext/2652728-technical-program-manager-ml-efficiency](https://www.wearedevelopers.com/jobs/ext/2652728-technical-program-manager-ml-efficiency). 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, ML Efficiency - **Company:** Google LLC - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $192,000.0 - $278,000.0 - **Contract:** Permanent contract - **Skills:** Data Centers, Machine Learning, Azure Machine Learning - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=da68f6be63d714ac ## About the Role * Bachelor's degree in a technical field, or equivalent practical experience. * 8 years of experience in program management., * 8 years of experience managing cross-functional or cross-team projects. * Experience in machine learning platforms and systems with knowledge of design and deployment of these systems and a strong understanding of the software stack for ML platforms. * Excellent program management skills, with the demonstrated ability to successfully drive and land complex cross-functional programs, preferably in the area of hardware/software efficiencies for the data center. * Excellent verbal and written communication and presentation skills with the ability to interact with both technical and non-technical audiences. * Strong problem-solving, negotiation and organizational skills. ## Description * Refine and translate complex technical performance metrics into clear, top-level business outcomes and auditable efficiency savings, and launch tooling and automated dashboards for efficiency metrics. * Lead comprehensive strategic planning cycles to develop high-impact, forward-looking operational efficiency roadmaps. * Operationalize structured engagement cadences with key cross-functional teams to streamline execution across the unified framework. * Partner with key teams (e.g., Finance, MLSA) etc to ensure the metrics defined and tracked translate into business outcomes for Google. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Should Tech Managers Be Developers First? Pros and Cons](https://www.wearedevelopers.com/magazine/327-should-tech-managers-be-developers-first-pros-and-cons) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)