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 (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
- 2 years of experience building products for developers.
- Experience with the domain area of Generative AI or Large Language Models.
Preferred qualifications:
- Master's degree in a technology or business related field.
- 3 years of experience in a business function or role (e.g., marketing, business operations, consulting).
- 3 years of experience in a role preparing and delivering technical presentations to executive leadership.
- 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
- 2 years of experience in data science.
- 1 year of experience in 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.
We are looking for a Product Manager to lead product development for Vertex AI Workbench Instances, Google Cloud's enterprise notebook platform for data science and AI. In this role, you will own the full lifecycle, from driving growth and adoption to shaping the runtimes, images, and containers that deliver a secure, reliable development environment, while advancing how AI and agentic capabilities show up for data scientists. You will be working across the enterprise notebooks portfolio, including Colab Enterprise, and will make Workbench the environment enterprises standardize on and developers choose.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive the full lifecycle of Vertex AI Workbench Instances, from growth and adoption to the runtimes, images, and containers underneath, delivering the most secure, reliable, and performant data science development environment for enterprise.
- Own the strategy to win and retain enterprise data science teams on Workbench, turning a managed notebook platform into the default environment developers choose and organizations standardize on.
- Define how AI and agents show up in the enterprise notebook, from in-notebook assistance to agent-ready runtimes connected to the broader Google Cloud ecosystem, so data scientists move faster without leaving their trusted environment.
- Partner across the enterprise notebooks surface, including Colab Enterprise, to deliver a coherent experience so customers get one consistent, secure path across Google Cloud's notebook offerings.
