Technical Program Management, Deployment at DeepMind

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

229000.0

Posted On

22 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Program Management, Model Deployment, Stakeholder Management, Communication Skills, Organizational Efficiency, Problem Solving, Machine Learning, AI Principles, Cross-Functional Collaboration, Performance Optimization, Timelines Management, Roadmapping, Inference Performance, Process Improvement, Team Coordination, Consensus Building

Industry

Research Services

Description

Snapshot This role is on the Google DeepMind Deployment team. We drive model serving and deployment to deliver our models from research and training to production. The core focus of this role is the technical program management orchestrating the delivery of inference performance techniques, aligning research and production readiness timelines and working across cross functional workstreams ensuring that Gemini models are ready for production deployment. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. The Role This is a high-impact opportunity for an exceptional Technical Program Manager to cover a critical area of Gemini’s launch operations - model deployment and serving, where you will be accelerating all parts of the model deployment process, across preprocessing, serving, evals and performance. You will work closely with a virtual team of contributors across MTV, NY, London, and Zurich, working with research teams to ensure we have clear timelines and roadmaps for our model deployment productionisation efforts. The role requires a high tolerance for ambiguity inherent in cutting-edge AI research and operates at a fast pace. The role requires a highly organized individual who excels at managing complex stakeholder relationships and connecting teams across Google DeepMind to drive successful outcomes. Key responsibilities: Be the US timezone presence for Deployment and partner with a senior TPM in the EMEA timezone to ensure US and Europe coverage. Drive the end-to-end delivery of the model serving and deployment program, working closely with engineers and researchers to architect and roadmap deployment plans from research to scaling out for production. Dive deep into technical details, understanding the nuance of production inference and the trade offs between cost and performance optimisation. Drive organizational efficiency by improving processes, streamlining execution, and implementing tooling improvements where applicable. Proactively identify and drill down into blockers, moving quickly to unblock the research and engineering teams. Coordinate across diverse groups within Gemini, including Research teams, Compute, and Go to Market and ensuring all stakeholders are aligned on plans and timelines. Build consensus and influence outcomes across diverse teams and key stakeholders, ensuring strong alignment without relying on direct authority. About You In order to set you up for success as the a TPgM at Google DeepMind, we look for the following skills and experience: Requirements: 5+ years of leading large-scale complex programs, preferably across multiple geographies and time zones. Possess excellent communication skills to articulate complex technical concepts clearly to diverse audiences, including executive leadership. Demonstrated success in fast-paced program execution and deliveries. Must be fluent in English and flexible to work cross-timezone. In addition, the following would be an advantage: Degree in Computer Science, Engineering or equivalent professional experience. Strong understanding of ML/AI principles and the distinctions from traditional software development. Understanding of LLM inference mechanics (KV Cache management, attention mechanisms, sampling strategies). The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application deadline: February 4, 2026 Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Responsibilities

Drive the end-to-end delivery of the model serving and deployment program, ensuring alignment across teams. Proactively identify blockers and coordinate with diverse groups to ensure successful outcomes.