Group Product Manager, Cloud AI Computing
Kirkland, WA, USA; Sunnyvale, CA, USA
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in product management, consulting, co-founder or related technical role.
- 5 years of experience building and shipping technical products.
Preferred qualifications:
- 10 years of product management or product marketing experience in cloud/data center systems (e.g., compute, networking, storage).
- Experience working cross-functionally to drive growth with a compelling go-to-market strategy.
- Understanding of AI/ML Infrastructure and cloud computing business.
- Analytical skills and the ability to drive prioritization.
- Innovative thinking and collaboration skills and the ability to be comfortable sorting through ambiguity, solving complex problems.
- Excellent communication and presentation skills (e.g., writing strategy documents, writing and delivering presentations).
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.
As a Group Product Manager for the Cloud Accelerator product management team, you will be focused on building the IaaS platform to run AI/ML and other accelerated workloads.
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 $214,000-$305,000 + 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
- Define growth strategy for machine learning infrastructure products and ecosystems within Google Cloud Platform (GCP).
- Design and lead a multi-year growth map, aligning broader teams on short and long term goals and investment asks.
- Create solutions around key objective workloads by partnering with engineering teams and enabling customers to achieve high performance and usability for their applications.
- Understand how technical users and customers derive value from Cloud Accelerators, establishing domain expertise inside Google on customer use cases and requirements.
- Work with our go-to-market and field to figure out the right way to bring our innovative products to the world.
Tags: Consulting Engineering GCP Google Cloud Machine Learning ML infrastructure
Perks/benefits: Career development Equity Salary bonus
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