Senior Product Manager - Compute

• Help define, build, launch and land the world's best GPU infrastructure for training and serving AI/ML, driving business growth for Google Cloud Platform (GCP).
• Understand the customer journey and their workflows for our target AI/ML workloads. Understand their pain points and how AI/ML infra can address their constraints, know how to shape our product roadmap by building new offerings to drive growth to GCP.
• Understand technical challenges and dependencies, working with executives across Google to ensure product launches and deliver an excellent product experience. Partner with ecosystems we work with (machine learning frameworks, orchestration engineers (K8s, Batch, etc.) to create multiple paths to market our portfolio of products.
• Drive product strategy and set product priorities, teaming with engineering and cross-functional teams to define and deliver on the next generation of cloud services.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or a related technical role.
• 3 years of 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.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• Experience with ML training and inferencing business.
• Experience within Cloud Infrastructure, particularly with compute, networking and storage.

Preferred qualifications:

• Master's degree in a technology or business related field.
• 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
• 5 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
• 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.

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 deliver accelerated compute infrastructure on GCP focusing on ML and AI workloads. This team focuses delivering the industry's best GPU-based solutions for these workloads.

Our team works cross-functionally to build, launch and land new infrastructure offerings on Google Compute Engine (GCE). We partner with other services like CAIP and GKE to ensure the infrastructure is exposed at all layers of the stack and other internal product areas, leveraging Alphabet's strengths to differentiate. We manage the profit and loss (P&L), working with partnership, marketing, UX and sales teams to drive growth and business operations to manage costs. We dive into the workloads, working to ensure 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or a related technical role.
• 3 years of 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.
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• Experience with ML training and inferencing business.
• Experience within Cloud Infrastructure, particularly with compute, networking and storage.