Product management Jobs

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 product manager for Google Tensor Processing Unit (TPU) Machine Learning (ML) infrastructure, you will drive the product roadmap and execution and work closely with internal and external Google customers to enable the critical ML capabilities and features. You will be responsible for providing product goals as well as driving customer strategy around Google’s custom TPU ML infrastructure.

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.

• Work closely with internal and external customers to prioritize feature requests and build a unified roadmap for the best ML infrastructure for Google.
• Work cross-functionally to assess and select the most critical problems to be solved with our ML infrastructure, build multi-year roadmaps that intersect our long term data center and infrastructure strategies, and secure executive support.
• Drive product roadmap and strategy in collaboration with hardware, software, and advanced research teams to deliver differentiated solutions.
• Ensure that your strategy supports Google’s overall ML strategy, tools, and priorities.