Minimum Qualifications
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- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 2 years of experience taking technical products from conception to launch.
Preferred Qualifications
- 4 years of experience in product management with data or Machine Learning products.
- Experience driving elements of the product development life-cycle such as product proposal, go-to-market strategy, driving requirements, supporting execution, product launch, and driving adoption.
- Experience working on safety, privacy, or regulatory compliance solutions.
- Experience collaborating with data science / engineering teams.
- Experience with ML infrastructure, advocating for use cases, and growing its adoption.
About The Job
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 create user-friendly, trustworthy, and privacy-preserving data and metadata solutions for AI products to help meet the challenges of the AI landscape, and also to achieve Google's company-wide OKRs for significant advancements in artificial intelligence.
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 $142,000-$211,000 + 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.
Responsibilities
- Collaborate with foundation modeling and product teams to understand workflows for model training / tuning, data quality analysis, and optimization.
- Collaborate with the Data Science team to design processes and infrastructure solutions that enable Generative AI teams to streamline Quality flows.
- Develop paths to production for data quality and optimization research that will benefit Google at scale.
- Author product strategy for the broader Data and Model Quality infrastructure space, and define KRs at multiple levels in the organization.
- Drive prioritization of impact initiatives based on customer needs and market trends, and influence to secure resources.
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