GenAI Technical Engagement Strategy Lead, DeepMind

Google•Mountain View, CA

12d•$240,000 - $333,000

About The Position

The GenAI Technical Engagement team at DeepMind translates complex technical model-development roadmaps to support frontier AI public policy and regulatory efforts. The team works with cross-functional partners at Google to develop actionable advocacy routes that align public policy efforts with frontier model development and deployment. In this role, you will work across research, engineering, public policy, regulatory, product, and operational teams to anticipate emerging regulations concerning AI model development, training data, copyright, safety, and security, and align them with DeepMind’s technical and model roadmap. As a technical subject matter expert, you will collaborate with public policy, regulatory, and frontier AI model-development teams to identify technical needs and goals, shape advocacy strategies early, co-design policy playbooks, and develop external responses to emerging regulations in support of Google’s model-development and deployment objectives.

Requirements

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

Nice To Haves

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 on issues central to 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.

Responsibilities

Translate complex AI model-development plans into actionable strategic public policy responses, co-designed with Google teams, to bridge AI development and regulation.
Steer cross-functional advocacy and partner with Google teams managing public policy responses so advocacy, policy frameworks, and playbooks evolve in step with technical and model-development roadmaps.
Advise senior management on emerging and novel regulatory developments, their impact, and recommended solutions based on model-development plans.
Provide strategic and technical guidance to internal cross-functional teams and public policymakers on technical concepts involved in developing and serving AI models, including training-data disclosures and model transparency.
Establish metrics to measure the success and impact of advocacy campaigns on model-development roadmaps and generate actionable insights for campaign optimization.