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November 13, 2025

Senior Product Manager, AI Agents, Business Intelligence, Looker

Senior • On-site

$183,000 - $271,000/yr

New York, NY , +1


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in product management or related technical role.
  • 3 years of experience taking technical products from conception to launch.
  • Experience driving the full product life-cycle for products.

Preferred qualifications:

  • Experience with AI developer productivity tools.
  • Experience with foundation model training, fine-tuning, and data curation.
  • Experience evaluating GenAI systems.
  • Experience building with GenAI agents and tools.

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 Analytics AI team is the driving team for GCP's GenAI for enterprise data (BigQuery, Looker, Databases), one of the fastest growing and most profitable businesses. We develop foundational services (NL2SQL, NL2Python, Context Engineering) that power agents (Conversational Analytics agents, Data Science agents, Semantic Model Generation agents) for 1P (BigQuery, Looker) and 3P (APIs, MCP, ADK, VS Code Extensions) experiences, serving GCP's largest customers. We collaborate with research teams (Vertex, Cloud AI Research, Systems Research Group) and GDM on dataset building, evaluations, and model training. Building trustworthy data agents is testing; we work fast and closely with customers. We move fast, our customers are big GCP spenders, our work is demanding, our engineering and XFN team is excellent, and our work has been featured in multiple Cloud Next keynotes.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $183,000-$271,000 + 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

  • Lead Generative Artificial Intelligence (GenAI) services and agents within Looker (Business Intelligence).
  • Realize the goal of integrating Artificial Intelligence (AI) capabilities and agents within Looker and will be responsible for advancements in Data Agents and unlock novel use cases across various, multi-modal data through the application of AI.
  • Be an expert in the business intelligence ecosystem, Looker, LookML, Google Cloud Platform (GCP), and GenAI and agentic practices.
  • Possess experience building software platforms and cloud services, understanding of the latest in generative AI trends including multi-agent systems, trustworthy User Experience (UX) practices, data, and evaluations.