Remote Job Description

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.

Core Data's processing and analysis teams build the data infrastructure that powers business decisions throughout Google, transforming, optimizing, and aggregating data for all major products. Taken as a whole, this infrastructure is the foundation for experimentation and product analysis for all of Google.

In this role, you will oversee how we combine elements of our infrastructure to provide deeper insights across a multitude of areas within Google. You'll help product teams spend more time acting on insights rather than on managing their data infrastructure, improving productivity as well as our ability to act using the best available data as our guide. You will help define Google’s approach to data warehousing and shape our data analysis for the future.
The US base salary range for this full-time position is $194,000-$292,000 + 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 for new hire 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.


  • Partner with executive-level Engineering leadership in multiple product areas to identify needs and best practices in order to build and bring to market innovative data processing products that drive significant impact for Google.
  • Build strategy, and drive execution for Data Processing products, with an understanding of end-to-end processing paradigms like batch ETL and streaming, how they interface with data lakes/warehouses, and analytics in various contexts (product analysis, experiment analysis, finance, monitoring, etc.).
  • Work with cross-product teams to build integrated solutions based on Core Data’s product portfolio, simplifying data management and governance for our customers.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering or equivalent practical experience.
  • 10 years of experience in product management, consulting, co-founder, or related technical role.
  • 5 years of experience building and shipping technical products, including experience in lifecycle data roll-outs at scale.
  • 5 years of experience with database systems, ETL, data lakes/warehouses, or OLAP.

Preferred qualifications:

  • Experience as a Software Engineer or similar technical background.
  • Experience working in cross-functional teams and environments (e.g., Engineering, Developer Relations (DevRel), User Experience (UX), User Interface (UI), Program Management).
  • Ability to resolve priority divergence, align multiple stakeholders, and land impactful projects in ecosystems.

Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Sunnyvale, CA, USA.
Remote location(s): United States.

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