Job description

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 about benefits at Google . • 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, and go/no-go approval workflows. • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. • 5 years of experience leading programs across multiple geographies and time zones. 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.

Requirements

Must-haves

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.
Learn more about benefits at Google .
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, and go/no-go approval workflows.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
5 years of experience leading programs across multiple geographies and time zones.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
5 years of experience leading programs across multiple geographies and time zones.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigoml

Platform: google
Effort: medium