Product Manager II, Enterprise Notebooks

About the role

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.

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.

Requirements

• 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.

Qualifications

• Master's degree in a technology or business related field (preferred).
• 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.

Skills

• Strong understanding of data science and AI concepts.
• Excellent communication and collaboration skills.
• Ability to work effectively in a fast-paced, dynamic environment.
• Experience with Google Cloud products and services.

Benefits

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

Pay

$163000 - $237000 (USD) + 15% bonus target + equity + benefits

Schedule

N/A