Research and Insights Manager, Marketing, Reputation and AI Responsibility
GoogleAbout the role
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 3 years of experience designing, scoping, executing, and delivering research and analysis projects.
- Experience translating business problems into research questions and translating research findings and insights into marketing recommendations.
- Experience managing qualitative, quantitative and measurement agencies.
- Experience managing cross-functional or cross-team projects.
Preferred qualifications:
- Experience using AI tooling to conduct or facilitate research and measurement.
- Knowledge of Washington DC and the US political environment.
- Knowledge of policy in international and multinational (e.g. EU) policymaking processes.
- Demonstrated interest in AI and its impact on society.
About the job
In order to build excellent products and tell great stories, we must first profoundly understand our audiences - what motivates them, why they think and behave the way they do, and what they think of our brands and products. The Consumer Apps Marketing Research and Insights team is at the heart of developing this understanding.As a Research Manager, you will be embedded within the Reputation Marketing team, and inform how Google builds its reputation with the priority audiences shaping the AI landscape (policymakers, scientists, voters, and more). In this role, you will utilize both traditional research methods and new AI tooling to help the Reputation team understand and respond to the changing AI landscape via sharp, insights-driven marketing and communications.
Your primary focus will be partnering with the AI Responsibility team: conducting and synthesizing brand tracking, qualitative research, and real-time social analysis across a variety of core issue areas (science, health, government, economy, and more). Your role will be to identify the audiences that matter in shaping the narratives for each issue, understand how those narratives spread and solidify, and provide tactical recommendations for how the AI Responsibility team should react. Managing stakeholder relationships, staying informed on Marketing priorities, scoping syntheses/studies to support strategy discussions, and managing a measurement framework will be an integral part of your day-to-day work.
As a secondary-priority, you will help manage the global policymaker sentiment tracker. Your key responsibilities include helping to improve the program’s operations, synthesizing findings and connecting dots between other programs, and presenting findings to teams across Google.
US: $116000 - $167000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
As a Research Manager, you will be embedded within the Reputation Marketing team, and inform how Google builds its reputation with the priority audiences shaping the AI landscape (policymakers, scientists, voters, and more). In this role, you will utilize both traditional research methods and new AI tooling to help the Reputation team understand and respond to the changing AI landscape via sharp, insights-driven marketing and communications.
Your primary focus will be partnering with the AI Responsibility team: conducting and synthesizing brand tracking, qualitative research, and real-time social analysis across a variety of core issue areas (science, health, government, economy, and more). Your role will be to identify the audiences that matter in shaping the narratives for each issue, understand how those narratives spread and solidify, and provide tactical recommendations for how the AI Responsibility team should react. Managing stakeholder relationships, staying informed on Marketing priorities, scoping syntheses/studies to support strategy discussions, and managing a measurement framework will be an integral part of your day-to-day work.
As a secondary-priority, you will help manage the global policymaker sentiment tracker. Your key responsibilities include helping to improve the program’s operations, synthesizing findings and connecting dots between other progra
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