GenAI Strategy & Public Policy Lead

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

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.