Senior Product Manager, AI Personalization Infrastructure

Google • Sunnyvale, CA

15h

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. In this role, you will join the Core Data Product organization, which manages the data infrastructure, tools, and services that empower Google’s product development teams to unlock the power of data for the AI era. You will enable product teams across Google to securely and compliantly deliver personalized AI experiences to users who have opted into personalization. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical role.
• 5 years of experience with data infrastructure, AI/ML implementation, and integration.
• 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 privacy-first engineering, including data management best practices.

Nice To Haves

• Master's degree in a technology or business related field.
• Experience driving the end-to-end product life-cycle, testing performance, and iterating quickly in a dynamic environment.
• Experience supporting the machine learning development life cycle, particularly regarding Retrieval-Augmented Generation (RAG) or personalization models.
• Experience building massive-scale backend systems with a specialized understanding of the infrastructure designed to power generative AI and agentic experiences.
• Ability to conduct market research analysis to identify emerging trends in the AI/ML space.

Responsibilities

• Manage validation of market size and opportunity (e.g., user-based and business-driven growth).
• Define and deliver a compelling product goal and roadmap for personalization data platforms that empower AI/ML innovation, translating business needs into technical requirements for engineering and research teams.
• Partner with teams across Google and collaborate across a "virtual team" matrix to drive results.
• Influence engineering and product organizations without direct authority.
• Lead the strategy for Service Level Agreement (SLA) and Service Level Objective (SLO) enforcement, ensuring infrastructure meets the low-latency and high-availability requirements for seamless, real-time AI interactions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level