Product Manager, Assurance Evaluations, Google Cloud

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in product management or related technical role.
  
• 2 years of experience developing or launching products or technologies within artificial intelligence or Machine Learning (AI or ML).
  

Preferred qualifications:

• Master's degree in a technology or business related field.
• Experience managing technical and design direction.
• Experience in product management, internal ML infrastructure.
  
• Experience in safety, privacy, or regulatory compliance solutions.

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.

In this role, you will make Gen AI development simpler, faster, and more effective by focusing on Google-wide solutions, including the foundation for reliable AI models and enabling efficient data sourcing, management, and enrichment. You will unlock insights and build AI solutions, ensuring safety, fairness, security, data governance, and adherence to other responsible AI principles.
Our goal is to create user-friendly, trustworthy, and privacy-preserving data and metadata solutions for AI products. This will not only help Google meet the tests of the changing AI landscape but will also be crucial for achieving 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.

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 .

Responsibilities

• Understand the requirements for Responsible AI principles, including model safety, fairness, privacy, and transparency. Design product roadmaps to ensure Responsible AI (RAI) evaluations are thorough, accurate, up-to-date, and widely adopted by assurance evaluation teams and red teams, providing insights into risks and potential mitigations for RAI issues.
• Work cross-functionally to optimize the workflow to minimize delay in the product launch process while still accurately accessing Responsible AI (RAI) risks.
• Develop reports that maximize insights and actionability, highlighting key areas of risk and their connection to mitigation strategies.
• Lead collaboration with experts in Responsible AI to integrate technologies, such as zero-shot auto-raters and sentiment analysis techniques, into the evaluation process.
• Grow a technical understanding AI infrastructure within ML, Systems, and Cloud AI (MSCA) and across Google's product areas, while keeping a pulse on market dynamics.