Vertex AI Product Manager

• Develop a comprehensive product idea and strategy for cloud compliance products, aligned with business objectives and evolving regulatory landscape.
• Conduct market research and competitive analysis, build knowledge of industry trends, emerging compliance requirements, and competitive offerings to identify opportunities and inform product roadmaps.
• Collaborate with stakeholders across engineering, legal, security, and customer-facing teams to gather and prioritize product requirements, translating them into detailed user stories and specifications.
• Develop and maintain a prioritized product roadmap, ensuring alignment with business goals and resource availability, and communicate roadmap updates to stakeholders.
• Work with engineering teams throughout the entire product development lifecycle, from concept to launch, ensuring timely delivery of high-quality products.

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.
  
• Ability to influence and communicate cross-functionally and externally.
• Excellent problem-solving, critical thinking and analytical skills.

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 ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

• 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).