Director, Applied AI Research and Collaborations

Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

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

• Bachelor’s degree in a quantitative or social science field (e.g., Statistics, Economics, Computer Science, Psychology), or equivalent practical experience.
• 15 years of professional experience, or 13 years with an advanced degree.
• 7 years of experience leading and scaling applied-research or analytics teams.
• Experience translating technical findings into narratives for executive audiences.

• Master’s degree or PhD in Economics, Computer Science, Statistics, STEM, or Organizational Psychology.
• Experience utilizing large-scale product telemetry and behavioral datasets to uncover organizational trends.
• Experience advising senior executives on AI-driven organizational design and future-of-work strategy.
• Deep familiarity with modern generative AI architectures, agentic systems, and Google’s product ecosystem.
• Track record of publishing or leading applied research on AI adoption, labor economics, or workforce transformation.

As the Director of Applied AI Research & Future of Work, you will architect Google’s strategic narratives and empirical research agenda on how artificial intelligence and emerging technologies reshape work, skills, and organizational structures. Leveraging deep data and telemetry across Google’s Product Areas—including Cloud, Gemini, Workspace, and Deep Mind—you will lead rigorous, longitudinal applied research on changing role dynamics, leadership requirements, and corporate culture.

You will establish cross-functional research initiatives across Google Cloud, Deep Mind, and Google Research, while cultivating strong partnerships with academic institutions and economists. Additionally, you will drive global thought leadership by translating applied research into enterprise customer collaborations and executive forums.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google .

• Design and execute longitudinal, data-backed research initiatives evaluating the economic, behavioral, and organizational impacts of applied AI and agentic workflows.
• Translate empirical research findings into actionable workforce strategies, leadership models, and executive frameworks for Google leadership and enterprise customer engagements.
• Lead cross-functional research partnerships across Google Research, Deep Mind, Cloud, and academic economists to co-author and publish pioneering workplace studies.

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 .