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:

• Master's degree in a technology or business related field or equivalent practical experience.
• 5 years of experience working cross-functionally with engineering, UX/UI, sales, finance and other stakeholders.
• 5 years of experience in a business function or role (e.g., tactical marketing, business operations, consulting).
• 4 years of experience in a role preparing and delivering technical presentations to executive leadership.
• 3 years of experience in software development or engineering.
  
• 3 years of people management experience with direct reports, and in technical leadership.
  

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 Vertex Artificial Intelligence (AI) Platform team's mission is to build the industry's leading AI platform for both generative and predictive Machine Learning (ML). Our goal is to help developers, data scientists, and machine learning engineers build AI-power applications. By providing them with access to 1P, 3P, and Open Source Foundation Models; and state-of-the-art ML Ops capabilities.

Model Garden is a single palace for developers to discover, customize, and deploy over foundation models from Google and partners. The team’s goal is to provide a curated set of models and integrations with the tooling that developers need customize and deploy those models. Model Garden brings the best of Vertex AI together in one easy to use interface.

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.

• Define and communicate the goal and strategy for Vertex AI Model Garden and align this goal across Cloud AI, Google Data Mining (GDM), and external partners.
  
• Work closely with our engineering and data science teams, with Bard Engineering and Product team, and with UX to design, prioritize, and deliver new features and capabilities.
  
• Conduct research to identify market opportunities, customer needs, and position of our product.
• Collaborate with sales, marketing, and customer success teams to ensure successful product launches and ongoing client satisfaction.
  
• Develop and maintain a product roadmap that addresses short-term deliverables and long-term strategy.