Qualifications

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 developing or launching infrastructure products or technologies within networking, storage, compute hardware, databases, file systems, data analytics, cluster management, and other software infrastructure areas.
  

Preferred qualifications:

• Master's degree in a technology or business related field.
  
• 10 years of experience with product management in enterprise systems (e.g., compute, networking, storage).
  
• Experience leading business areas, working cross-organizationally with Product, Engineering, GTM functions.
  
• Experience working cross-functionally to drive growth with a compelling GTM strategy.
  
• Knowledge of AI/ML and Cloud computing.
• Excellent collaboration skills, with the ability to work with ambiguity to solve problems.
  

Summary

• 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 developing or launching infrastructure products or technologies within networking, storage, compute hardware, databases, file systems, data analytics, cluster management, and other software infrastructure areas.
  

Description

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.

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.

Responsibilities

• Determine market segments, goal use cases, and differentiation opportunities by working with Cloud customers and internal research teams.
• Define Cloud TPU roadmap and priorities across hardware, systems, and software.
• Deliver complete machine learning solutions, identify key industry partners and third-party tools to deliver positive experiences for customers running on Google Cloud.
• Drive growth by working with marketing and sales to create the overall messaging, enablement plan, sales plan, agreements pipeline, and customer success metrics, and work cross-functionally to achieve critical business metrics.
• Drive margin improvement opportunities across Specialized Compute by working cross-functionally to reduce the cost of delivery, improve engineering and inventory efficiency, increase forecasting accuracy, and optimize capacity planning.