Technical Program Manager, AI Safety and Security Launches, DeepMind

Technical Program Manager, AI Safety and Security Launches, DeepMind

Share Technical Program Manager, AI Safety and Security Launches, DeepMind

corporate_fare DeepMind place Mountain View, CA, USA; London, UK; +2 more; +1 more

Share Technical Program Manager, AI Safety and Security Launches, DeepMind

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; London, UK; New York, NY, USA .

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

• 5 years of experience leading programs across multiple geographies and time zones.

Preferred qualifications:

• Strong understanding of ML/AI principles and distinctions from traditional software development.

• Excellent organizational skills for managing complex stakeholder relationships, executive communication, and resolving cross-team dependencies.

• Demonstrated success in fast-paced program execution with high ambiguity and experience managing product launches or horizontal technical programs.

• Dedicated to advancing AI safety and security with a strong commitment to deepening expertise in the field.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Building safe, secure, and beneficial AI is central to DeepMind’s mission. Within GenAI Post-Training, the Safety and Model Behavior Technical Program Manager (TPgM) team translates alignment research into robust, scalable operational execution.

As a Technical Program Manager driving AI Safety and Security Launches, you will operate at the intersection of innovation and responsibility orchestrating end-to-end launch lifecycles and aligning global cross-functional partners to guarantee that Gemini models deploy with the highest standards of safety and security.

This is a high-impact role where you will work in a fast-paced environment with the ambiguity typical of AI research, collaborating closely with a virtual team across multiple time zones. This role requires a highly organized individual who excels at managing complex stakeholder relationships, resolving cross-team dependencies, and aligning teams across DeepMind to deliver successful launch outcomes.

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: $217000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Partner closely with GenAI Safety, Security, Trust and Safety, and Legal teams to manage the end-to-end operational lifecycle of model deployments.

• Streamline execution, refine operational processes, and implement tooling upgrades across all launch programs.

• Identify, investigate, and resolve critical bottlenecks to keep research and engineering teams moving quickly.

• Build consensus and influence key outcomes across teams without relying on direct authority.

• Author and maintain end-to-end launch playbooks, standardized templates, intake reviews, andgo/no-go (https://goto.google.com/no-go) approval workflows.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.