Senior Product Analyst, GenAI, DeepMind

About the role

Act as the analytical engine for the GenAI Product organization. Transition the organization from short-term launch tracking to continuous, data-informed product lifecycle management. Serve as the primary bridge between raw data, cross-functional analytical working groups, and executive product strategy across the entire product suite.

Responsibilities

• Track and investigate product landings, establishing operating rhythms for post-launch performance, adoption, and tracking.
• Chase ambiguous trends, answer complex questions, and pivot wide-angle data into actionable insights using macro-level dashboards.
• Identify behavioral shifts, usage anomalies, and performance gaps across product surfaces using Business Intelligence tools and SQL.
• 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.

Requirements

• Bachelor's degree or equivalent practical experience.
• 11 years of experience in management consulting, product management, 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.

Benefits

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