Senior PM — Generative AI for Gmail & Workspace

Google; Sunnyvale (CA); Hybrid; USD 192,000 - 278,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google is seeking a Product Manager to guide Gmail-related AI features, including Summarization journeys, enabling users to manage emails through AI-generated summaries and timely reminders. You will work cross-functionally with engineers, designers, and marketing to shape product strategy and drive end-to-end delivery.

The role emphasizes collaboration with DeepMind teams, managing complex problems, and aligning product goals with user needs for billions of users worldwide.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or a related technical role.
• 2 years of experience developing or launching products or technologies within GenAI, AI/ML, LLMs.

Responsibilities

• Lead product for Summarization journeys, including Topics to Catch Up on and Email AI Overviews.
• Drive strategy, roadmap, and execution of pivotal AI Inbox features to help users act on emails.
• Deliver email summaries in classic inbox, highlighting deadlines and enabling task reminders.
• Lead product definition and AI quality for summarization in collaboration with cross-functional partners.
• Set quarterly objectives and key results (OKRs), define market opportunity, and drive product roadmap to achieve goals.

Skills

Product management

GenAI / AI/ML

Cross-functional leadership

Communication

Education

Bachelor's degree

Tools

AI/ML tooling

Job description

Google is seeking a Product Manager to guide Gmail-related AI features, including Summarization journeys, enabling users to manage emails through AI-generated summaries and timely reminders. You will work cross-functionally with engineers, designers, and marketing to shape product strategy and drive end-to-end delivery.

The role emphasizes collaboration with DeepMind teams, managing complex problems, and aligning product goals with user needs for billions of users worldwide.