Senior Product Analyst, GenAI, DeepMind

Google; Mountain View (CA); On-site; USD 236,000 - 257,000; Full time

Benefits offered by this job

Equity

Performance bonus

Benefits package

Job summary

Google DeepMind is seeking a Senior Product Analyst for GenAI to serve as the analytical engine linking raw data with executive strategy. You will drive data-informed lifecycle management, turning complex signals into strategic insights that guide product development across our GenAI portfolio.

You will partner with global teams, translate results into executive-ready narratives, and help ensure high-quality metrics, dashboards, and governance across cross-functional programs.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 11 years of experience in management consulting, product management and strategy, or analytics in a technology company.
• Experience working with and analyzing data, and managing multiple cross-functional programs or projects.

Responsibilities

• Track and investigate product landings, establishing operating rhythms for post-launch performance, adoption, and tracking.
• Capitalize on macro-level dashboards to chase ambiguous trends, answer complex questions, and pivot wide-angle data into actionable insights.
• Use Business Intelligence tools and SQL to identify behavioral shifts, usage anomalies, and performance gaps across product surfaces.
• Partner with cross-functional metrics working groups, Technical Program Managers, and Data Scientists to audit anomalies, test hypotheses, and translate product questions into technical data requirements.
• Build deep relationships with embedded data analysts across neighboring product areas to drive joint technical investigations and align on unified GenAI metrics.

Skills

Executive communication

Leadership across units

Education

Bachelor's degree or equivalent practical experience

Tools

Python

R

SQL

Job description

Senior Product Analyst, GenAI, DeepMind

DeepMind

Mountain View, CA, USA

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 11 years of experience in management consulting, product management and strategy, or analytics in a technology company.
• Experience working with and analyzing data, and managing multiple cross-functional programs or projects.

Preferred qualifications:

• 8 years of experience solving business problems using Python, R, SQL, and advanced statistical analysis to extract executive-level insights from complex datasets.
• 5 years of experience driving performance advertising strategies and translating dense technical findings into high-impact presentations for executive audiences.
• Understanding of user behavior patterns, performance metrics, and post-deployment operational challenges unique to generative AI products.
• Ability to lead initiatives across disparate business units and establish operational cadences to keep teams accountable.

About the job

In this role, you will act as the analytical engine for the GenAI Product organization. Our core mission is transitioning the organization from short-term launch tracking to continuous, data-informed product lifecycle management. Embedded within the GenAI Product Strategy and Operations team, you will act as the primary bridge between raw data, cross-functional analytical working groups, and executive product strategy across our entire product suite. You will add a critical layer of investigative excellence—getting under the hood of the data to validate metrics, uncover hidden trends, and proactively delight product leadership with strategic insights.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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

US: $236000 - $257000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Track and investigate product landings, establishing operating rhythms for post-launch performance, adoption, and tracking.
• Capitalize on macro-level dashboards to chase ambiguous trends, answer complex questions, and pivot wide-angle data into actionable insights.
• Use Business Intelligence tools and SQL to identify behavioral shifts, usage anomalies, and performance gaps across product surfaces.
• Partner with cross-functional metrics working groups, Technical Program Managers, and Data Scientists to audit anomalies, test hypotheses, and translate product questions into technical data requirements.
  
• Build deep relationships with embedded data analysts across neighboring product areas to drive joint technical investigations and align on unified GenAI metrics.
  

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.