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

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in management consulting, product management and strategy, or analytics in a technology company.
• Experience working with education institutions to drive programmatic engagement and collaboration across multiple projects while analyzing data and leading program reporting.
• Experience designing, building, and managing a monitoring function, including developing metrics and dashboards to track progress and generate evidence-based insights and quantifiable impact.
• Experience managing cross-functional initiatives, and coordinating efforts between internal product/research teams and external academic collaborators or consortia.

Preferred qualifications:

• Experience collaborating with research/legal teams to manage ethical guidelines and data privacy frameworks.
• Familiarity with academic research lifecycles, including IRB compliance, peer-reviewed evidence collection, and research data management.
• Understanding of strategic planning frameworks (e.g., OKRs) and experience managing operational cadences with external partners.
• Deep understanding of the education ecosystem and the strategic challenges of using GenAI in post-secondary teaching and learning.
• Excellent analytical and problem-solving skills to identify trends and generate actionable insights.
• Exceptional executive communication skills to synthesize complex project statuses, research findings, and impact data for executive leadership.

About the job

Product and Business Strategy Leaders bring together teams across Google's functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.

Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.

In this role, you will drive our institutional collaboration sandboxes, fostering ongoing engagement with a consortium of schools, researchers, and organizations. You will manage partnerships between Google's product/research teams and external institutions to solicit user feedback and test AI products in real-world contexts, collaborating heavily with cross-functional partners.

You will serve as the primary liaison for external higher education organizations and university stakeholders, while coordinating across internal Product, Research, Legal, and Partnerships teams. You will require an independent perspective and the ability to run smooth, efficient processes that create qualitative insight and quantifiable impact across multiple workstreams.

Your goal is to ensure these programs run seamlessly, generating evidence-based insights into how AI can improve educational outcomes and guiding how we build products to support that mission.

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

US: $150000 - $218000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Lead the full lifecycle execution of institutional collaboration sandboxes, serving as the primary driver for the program.
• Act as the central point of contact, ensuring seamless and cohesive collaboration between external education organizations, researchers, and internal Google Product, Research, and Engineering teams.
• Design, build, and own the monitoring and data function for collaborative engagements. Develop metrics, dashboards (e.g., using SQL, Looker), and processes to solicit user feedback, generate evidence-based insights, and quantify the impact of AI products in real-world contexts.
• Synthesize complex project statuses, research findings, and quantifiable impact data into structured, persuasive written and verbal communications for executvie Google leadership and external dialogue.
• Identify and execute solutions to improve all operational aspects of the engagement programs, including refining partner selection criteria, coordinating funding identification, and managing ethical guidelines and data privacy frameworks.