Senior Product Manager, AI Infra GPU

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 (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• 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.
  
• Experience with AI platform and graphics processing units (GPUs).

Preferred qualifications:

• Master's degree in a technology or business related field.
  
• 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
  
• 5 years of experience in a business function or role (e.g., marketing, business operations, consulting).
• 4 years of experience in a role preparing and delivering technical presentations to executive leadership.
• 3 years of experience in software development or engineering.
  
• 3 years of people management experience with direct reports, and in technical leadership.
  

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.

Our team works cross-functionally to build, launch and land new infrastructure offerings on Google Compute Engine (GCE). We partner with other services like Vertex and Google Kubernetes Engine (GKE) to ensure the infrastructure is exposed at all layers of the stack. We partner with other internal product areas, leveraging Alphabet's strengths to differentiate. We manage the Profit and Loss (P&L), working with partnership, marketing, User Experience (UX) and business teams to drive growth and business operations to manage costs. We manage the workloads, working to ensure Google Cloud Platform (GCP) has a complete end-to-end offering, meeting our customers' needs.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $192,000-$278,000 + 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.

Responsibilities

• Define, build, launch, and land the world's best Graphics Processing Unit (GPU) infrastructure for training and serving AI/ML, driving significant business growth for Google Cloud Platform (GCP).
• Understand the customer journey and workflows for specific AI/ML workloads, identifying pain points and how AI/ML infrastructure can address constraints to shape a product roadmap that drives gro