Group Product Manager, Machine Learning, Google Cloud Full-time

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 10 years of experience in product management or related technical role.
• 5 years of experience in people management, with technical leadership.
• 5 years of experience developing or launching products or technologies within artificial intelligence or machine learning.
• Experience with Cloud Infrastructure, including compute, networking, and storage.
• Experience in product marketing or bringing technical products to market.

Preferred qualifications:

• Master’s degree or PhD in a Technology or Business related field.
• Experience in Machine Learning Infrastructure.
• Experience in hardware architecture.
• Experience with Machine Learning (ML) training and inferencing business.
• Understanding of the cloud technology market, services, and customer/user requirements.

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.

In this role, you will work with industry researchers, engineers and customers, and help them do their most critical work on Google Cloud Platform (GCP). You will be responsible for taking a product to market that could have transformative effects on the industry and on the Google Cloud business.

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

• Help define, build, launch, and land the Graphics Processing Unit (GPU) infrastructure for training and serving AI/ML, driving significant business growth for GCP.
• Understand the customer journey and their workflows for our aimed AI/ML workloads, their pain points and how AI/ML infrastructure can address their constraints, and know how to shape our product roadmap by building new offerings to drive growth to GCP.
• Understand the technical issues and dependencies working with executives across Google to ensure effective product launches and deliver a product experience.
• Drive product strategy and set product priorities, working closely with engineering and cross-functional teams to define and deliver on the next generation of cloud services.