The role
From Google's own posting.
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.
In this role, you will lead a high-visibility initiative across Cloud Sales and Marketing leadership. We are looking for a product leader with experience working on data systems, turning messy unstructured data into gold mines of information, and AI fluency.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google .
Lead the strategy, design, and execution of the agentic data layer for Cloud's Go-To-Market (GTM) customer data.
Drive a cross-functional charter spanning Engineering, Data Science, Sales, and Marketing to establish self-healing data loops and real-time account intelligence.
Architect foundational data systems and processes to enable Gemini Enterprise as an autonomous GTM engine for Cloud users.
Transform unstructured customer data into structured, actionable intelligence to power AI workloads and streamline business operations.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
10 years of experience in technical product management.
7 years of experience managing data products, including automated data hygiene (e.g., entity resolution, deduplication), building data pipelines optimized for AI workloads (e.g., RAG architectures, LLM grounding), and delivering internal or external data APIs, SDKs, or developer tooling.
Experience leading cross-functional product initiatives from conception to launch including managing the product goal, go-to-market strategy, and design discussions.
Experience utilizing AI productivity tools to streamline business or development workflows.
Preferred qualifications:
10 years of product management experience.
Experience building data pipelines optimized for AI workloads, such as RAG architectures, LLM grounding, agentic tool-use, and feature stores.
Experience establishing acceptance criteria and trade-off frameworks (e.g., precision versus recall in entity matching).
Experience collaborating closely with cross-functional technical teams, including engineers, other PMs, and business stakeholders.
Experience working on products that rely on complex semantic data, knowledge graphs, or AI evaluation tools.
Bachelor's degree or equivalent practical experience.
10 years of experience in technical product management.
7 years of experience managing data products, including automated data hygiene (e.g., entity resolution, deduplication), building data pipelines optimized for AI workloads (e.g., RAG architectures, LLM grounding), and delivering internal or external data APIs, SDKs, or developer tooling.
Experience leading cross-functional product initiatives from conception to launch including managing the product goal, go-to-market strategy, and design discussions.
Experience utilizing AI productivity tools to streamline business or development workflows.