Vertex AI Search and Agentspace Quality Product Manager Full-time

Minimum qualifications:

• 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.
• Experience with the domain area of Generative AI or Large Language Models.
• Experience in metrics driven quality improvement.

Preferred qualifications:

• Master’s degree in a technology or business related field.
• 3 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 3 years of experience in a role preparing and delivering technical presentations to senior leadership.
• 2 years of experience in software development or engineering.
• 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• 1 year of experience in a technical leadership.

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 work closely with our product teams to innovate, incubate, and prototype how to evolve and transform our Google Cloud Platform (GCP) products to provide Generative AI driven experiences and solutions. You will incubate, prototype, and iterate in this space to quickly bring new ideas to production. This includes staying on top of the latest technology and techniques for Generative AI to continue to evolve our approaches and solve their most critical business problems.

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

• Drive innovation in core AI and Search technologies to keep our products state of the art.
• Employ a metrics-driven approach to evaluate and improve Vertex AI Search’s quality, focusing on search relevance, answer accuracy, and overall product performance.
• Conduct qualitative analysis through close collaboration with early adopters and strategic partners to identify pain points, usability gaps, and areas for improvement.
• Lead cross-functional efforts to enhance the quality and usability of retrieval and ranking functionalities.
• Perform strategic and competitive analysis to identify emerging technologies, assess their potential, and prioritize integration opportunities.