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.

As a Group Product Manager for Data Quality, you will play a critical role in shaping the future of AI by defining and delivering products that ensure models are trained on the data. You will be responsible for the product life-cycle, from strategy and ideation to launch and iteration, with a focus on solving data quality challenges at scale.

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 $214,000-$305,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

• Define ideas for data quality within the AI Data team and across Google.
• Develop product strategy and roadmap for addressing data quality challenges across various AI applications, with a focus on Gemini.
• Identify and prioritize key product opportunities with both Google and external customers based on user needs, market trends, and business objectives.
• Collaborate with engineering, research, and design teams to build and launch innovative data quality products.
• Conduct market research, customer analysis, and competitive analysis to inform product decisions, and translate user needs and business requirements into product specifications and use cases.