GenAI Technical Engagement Strategy Lead, DeepMind

DeepMind Technologies Limited; Mountain View (CA); On-site; USD 240,000 - 333,000; Full time

Benefits offered by this job

Bonus target 25%

Equity

Benefits

Job summary

DeepMind Technologies Limited in Mountain View, CA, seeks a GenAI Technical Engagement expert to translate AI model roadmaps into practical public policy strategies and regulatory alignments with Google’s frontier program.

You will collaborate with research, engineering, policy, and product teams to anticipate regulations on data use and model safety, co-design policy playbooks, and advise leadership on actions that keep development compliant and responsible.

Qualifications

• Bachelor’s degree in a relevant field or equivalent practical experience.
• 10+ years of experience in technical product/engineering/research or policy/regulatory-facing roles.
• Experience with foundational models development life-cycles, model capabilities, training data architectures, and evaluation/deployment.
• Experience working with cross-functional teams in technical engineering/research organizations.

Responsibilities

• Bridge AI development and regulation by translating complex plans into public policy responses.
• Steer cross-functional advocacy and align policy playbooks with model roadmaps.
• Advise senior management on emerging regulatory developments and impacts on development.
• Provide strategic guidance on technical concepts like training data disclosures and model transparency.
• Establish metrics to measure advocacy campaign impact on the model development roadmap.

Skills

10+ years exp in technical product/eng

Foundational models lifecycle

Cross-functional collaboration

Policy/regulatory experience

Education

Bachelor’s degree or equivalent practical experience

Job description

Minimum qualifications

• Bachelor’s degree in Computer Science, Data Science, Machine Learning, Maths, Statistics, Law, Public Policy, Security, Safety, or equivalent practical experience.
• 10 years of experience in either technical product/engineering/researcher roles, or policy/regulatory-facing roles.
• Experience with foundational models development life-cycles, model capabilities, training data architectures, and model evaluation and deployment.
• Experience working with cross-functional teams in technical engineering/research organizations.

Preferred qualifications

• Advanced degree in a technical discipline or public policy.
• Experience designing, leading, or implementing high-stakes, complex projects from the ground up.
• Experience engaging with regulators and policymakers about the issues at the heart of AI model development, including data use, model architecture, safety, security, and compute.
• Track record of excellent contributions to AI model development as a technologist, researcher, public policy manager, or communications specialist.

About The Job

The GenAI Technical Engagement team within DeepMind is responsible for translating complex technical model-development roadmaps to support frontier AI public policy and regulatory efforts, driving strategy with cross-functional partners at Google to advance actionable advocacy routes to harmonize public policy efforts with frontier model development and deployment. In this role, you will work at the intersection of research, engineering, public policy, regulatory, product, and operational teams to anticipate emerging regulations (such as those related to AI model development, training data, copyright, safety, and security) and harmonize them with the DeepMind’s technical and model roadmap.

As the technical subject matter expert, you will collaborate closely with public policy, regulatory, and frontier AI model development teams to identify key technical needs and goals, steer advocacy strategies early, co-design policy playbooks and develop external responses to emerging regulations in ways that meet Google’s model development and deployment objectives.

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 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: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Bridge the gap between AI development and regulation by translating complex AI model development plans into actionable, strategic public policy responses that you co-design with Google teams.
• Steer cross-functional advocacy, partner directly with Google cross-functional teams who are managing public policy responses to ensure advocacy and policy frameworks and playbooks evolve in lockstep with technical and model development roadmaps.
• Advise senior management on the status of emerging, novel regulatory developments, including impact, and recommended solutions based on model development plans.
• Provide strategic and technical guidance to internal cross-functional teams and public policymakers about technical concepts associated with developing and serving AI models, such as training data disclosures and model transparency.
• Establish metrics to measure the success and impact of advocacy campaigns on model development roadmap, generating actionable insights for campaign optimization.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .