Senior Product Manager, AI Compute Infrastructure

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.

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.
• 3 years of experience in software development or engineering.

About the job

At [REDACTED], 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 [REDACTED] 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 part of the AI2 organization, you will build the technical foundation behind [REDACTED]’s products as well as for [REDACTED]’s compute and AI/ML offerings. You will manage the underlying design elements, developer platforms, product components, and infrastructure at [REDACTED]. Within AI2, we are CBS - Core ML, Compute infrastructure and Spatial Flex organization whose mission is to provide the most cutting-edge AI by building the world's best infrastructure, compute, data, and services for both first-party and third-party ecosystems and provides ML software tools, services, solutions and infrastructure to all the [REDACTED] product areas, including Search, Ads, YouTube, Cloud, Maps, etc. As part of CBS, we are the C2AI team that owns the primary Compute infrastructure for the whole of [REDACTED]. You will deliver unrivaled, frictionless compute infrastructure for [REDACTED] services for the post-Moore's Law era.The AI and Infrastructure team is redefining what’s possible. We empower [REDACTED] customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include [REDACTED], [REDACTED] customers, and billions of [REDACTED] users worldwide.

We're behind [REDACTED]'s groundbreaking innovations, empowering the development of 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 [REDACTED], [REDACTED], 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 [REDACTED].

Responsibilities

• Define and execute the multi-year roadmap for Compute infrastructure with a focus on security, leading the transformation driven by the unique needs AI brings to the industry.
• Partner with engineering, platform, and cross-functional teams on highly impactful [REDACTED]-wide Compute infrastructure initiative, translating complex security requirements into clear technical specifications, user stories, and delivery milestones.
• Accelerate internal adoption of Compute infrastructure products, tools and frameworks, minimizing friction for engineering teams without sacrificing velocity, and drive awareness of Compute infrastructure and security products across all internal customers.
• Align cross-functional stakeholders and internal product groups on various Compute infrastructure products.