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Senior Product Manager, Responsible AI, Google Cloud

🌎

Kirkland, WA, USA

12h ago
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Job Description

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in product management or related technical role.
  • 3 years of experience taking technical products from conception to launch.
  • Experience with the domain area of Generative AI or Large Language Models.

Preferred qualifications:

  • 10 years of technical product management experience, creating product roadmaps from conception to launch and working with cross-functional teams.
  • Experience with development or maintenance of policy and identifying associated risks.
  • Experience with performance in risk management at the project and organization levels.
  • Experience with the domain area of Generative AI or Large Language Models.
  • Experience in the space of regulatory frameworks, public policy, and compliance
  • Experience driving the product idea, go-to-market strategy, and design discussions.

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.

Google’s Cloud Responsible AI teams mission is to make information universally accessible and useful by working to ensure AI products work well for everyone. The team builds customer and industry trust in Cloud AI products and helps differentiate Google Cloud from competitors through products, programming, and tooling.

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 $168,000-$252,000 + 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.

  • Refine and communicate the idea and strategy for Responsible AI, ensuring alignment with broader organization objectives.
  • Work with engineering, product, and solutions teams, including GDM, the Vertex Platform team, the Professional Services Organization, and Cloud Compliance to prioritize and deliver solutions.
  • Collaborate and conduct research to identify market opportunities, understand customer needs, and position products as a leader in safety solutions.
  • Develop and maintain a product roadmap that addresses both short-term deliverables and long-term strategy. 
  • Engage with enterprise customers to gather feedback, understand their challenges, and iterate on product features accordingly. 

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