Senior Product Manager, AI Operations, Google Distributed Cloud

GoogleSunnyvale, CA
17h$192,000 - $285,000

About The Position

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 Distributed Cloud (GDC) is a fully managed product portfolio that brings Google Cloud’s infrastructure and services closer to where customer data is being generated and consumed. In this role, you will empower customers to run Cloud Services in their own (or a partner) data center, or at the edge, alongside enterprise applications to support mission-critical use cases such as Google Artificial Intelligence edge inferencing. 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.

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in product management or a related technical role.
  • 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).

Nice To Haves

  • Master's degree in a technology or business related field.
  • 10 years of product management experience, expert in launching technical artificial intelligence products and features.
  • Experience with managing production deployments across the key facets of operations, support, deployment, troubleshooting.
  • Experience in artificial intelligence infrastructure (GPUs), virtualization, and containerization.
  • Understanding of AI and agentic technologies.
  • Ability to analyze market and customer data, interpret data sets, and use insights to drive product strategy and decisions.

Responsibilities

  • Define the goal, strategy, and roadmap for the Google Distributed Cloud AI operations, improving the daily life of GDC operators powered with AI.
  • Collaborate closely with customers to define AI product requirements and architecture specifically for the operators in the public sector space, prioritize features, and oversee the product development life-cycle from concept to landing.
  • Build and maintain relationships with key stakeholders and customers to understand their needs, gather feedback, and translate them into actionable product improvements.
  • Identify and address technical risks, infrastructure bottlenecks, and scaling tests.
  • Work effectively with various teams, including engineering, design, marketing, business, support, and other stakeholders, to ensure successful product execution.

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
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