Group Product Manager, Knowledge Engine

Group Product Manager, Knowledge Engine

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 team's mission is to build a catalog for AI, spanning customers' entire enterprise data estate and enabling agents to operate with high accuracy. Our goal is give our customers the confidence to transform their business with Google Data Cloud, safe in the knowledge that the agents will maximize business value and minimize risk. 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.

Responsibilities:

• Own the long-term roadmap for Data and Analytics AI-native experiences.
• Ensure a seamless, end-to-end integrated data experience spanning leveraging the services including BigQuery, Spark, and Vertex AI, positioning Google Data Cloud as the premier platform for various data workloads including data engineering, SQL analytics, and AI/ML development.
• Recruit, mentor, and develop a team of talented product managers, fostering a culture of innovation, accountability, and excellence in product execution.
• Oversee the entire product lifecycle, from ideation and user research to development, launch, and iteration, ensuring seamless collaboration with engineering, UX design, and other cross-functional teams.