Technical Program Manager, Model Launches, DeepMind (Fixed-Term Contract)

Technical Program Manager, Model Launches, DeepMind (Fixed-Term Contract)

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corporate_fareDeepMindplaceMountain View, CA, USA

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Minimum qualifications:

• Bachelors degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.

Preferred qualifications:

• Experience with AI/ML model launches, inference infrastructure, capacity planning, and Large Language Model (LLM) serving stacks like Gemini and GenMedia.
• Experience working effectively with distributed engineering, research, and product teams across multiple time zones.
• Proven ability to lead fast-moving launch programs and establish repeatable governance, tracking workflows, and executive reporting.

About the job

Googles 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. Youre equally at home explaining your teams analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

As a Technical Program Manager for Model Launches, you will drive serving readiness and execution for Googles newest Gemini and GenMedia models. In this 6-month fixed-term contract (FTC) role, you will act as the platform launch lead across the GenAI serving stack. You will own the end-to-end launch lifecycle from intake and workback planning through private preview, early access, and general availability.

Sit at the intersection of model research, platform engineering, SRE, and product areas, you will ensure multimodal and LLM launches land smoothly on schedule. You will orchestrate readiness checklists, quota/QPS planning, bug triage, and launch war rooms to support rapid release timelines across global time zones.

Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 0% bonus target

Learn more about benefits at Google.

Responsibilities

• Act as the primary liaison between model development, platform engineering, SRE, and product teams to align launch scope, schedules, dependencies, and readiness.
• Maintain model launch checklists and tracking hotlists across Engineering, SRE, and Safety teams to proactively unblock P0 bugs and mitigate technical risks.
• Partner with product teams and SREs to collect QPS forecasts, verify capacity provisioning, and coordinate pre-launch endpoint access.
• Lead launch war rooms and cross-team syncs, maintain the model launch roadmap, and deliver executive updates and post-launch retrospectives to scale workflows.
• Own the end-to-end serving platform launch lifecycle for new Gemini and GenMedia LLMs across all milestones, from intake to general availability.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.