Description

Minimum qualifications:

• 
  
  Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  
  
• 10 years of experience in product management, taking a technical product from 0 to 1 or managing a product through a full lifecycle.
• Experience building and shipping products powered by Machine Learning, Natural Language Processing (NLP), or Large Language Models (LLMs).

Preferred qualifications:

• Experience building platformized services or infrastructure, specifically defining common vocabularies, APIs, or taxonomies used by other product teams.
• Experience in building intent detection systems, task management ecosystems/workflow automation tools.
• Experience leading ambiguous V1 projects in large organizations and converging disparate roadmaps into a unified goal.
• Ability to define a product outlook and strategy for a platform-level initiative that impacts multiple product surfaces (e.g., cross-Gmail and Chat).
• Ability to partner with Engineering/Research to evaluate model performance, classify artifacts, and optimize agentic user experiences while collaborating with executive and cross-functional workspace stakeholders.
• Excellent written and verbal communication skills.

About the job
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

The Communication and Time Management Intelligence (CTMI) team is a newly formed Product Manager (PM) team at the center of the "AI-First" Workspace evolution. We are responsible for the intelligence layer that transforms communication (Chat/Gmail) into actionable insights. We are scaling our 2026 roadmap to move beyond simple summarization toward proactive, autonomous assistance and need AI first PMs to help us make the future happen!

As a strong Lead Product Manager (L7) for Catch me up Agent (CMU), you will own the strategic vision for how Google AI synthesizes information to save users time across Gmail and Chat. You will lead the "Catch Me Up" ecosystem, moving beyond basic text summaries to create a personalized, agentic intelligence layer that understands what is critical to each user.
AI will change the future of work in profound ways, and our products- Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.

The US base salary range for this full-time position is $240,000-$334,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Define and platformize universal intent detection across Gmail and Chat, establishing a common vocabulary for message and artifact annotation. Drive the outlook and roadmap for workspace automation, converging it with AI inbox initiatives to enable multi-step user actions.
• Architect the foundational platform layer necessary to enable sophisticated follow-on actions and autonomous AI agents.
• Own end-to-end artifact understanding, leading the development of classifiers to extract high-signal information (e.g., meeting suggestions) and trigger contextual actions across surfaces.
• Partner with engineering and research to solve high-ambiguity problems in Large Language Model (LLM) orchestration, ensuring intent detection is both universal and actionable.
• Collaborate with cross-functional roadmaps to ensure automation features, like auto-labeling based on trip or project context, are integrated seamlessly into the user experience.

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Requisition #: 103754895554683590

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