Product Manager, AI Foundations Data

Google•Sunnyvale, CA

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. Data Foundry is Google’s foundational end-to-end data engine from acquisition, semantic processing, indexing, and manages vast amounts of data from the web, third-party partners, and Google internal sources. In this role, you will define the strategy and evolve this planet-scale data acquisition platform to support the ever-growing needs of the users, AI (DeepMind/Gemini), new AI agents, and the products as they generate increasingly complex and time sensitive questions. You will collaborate with executive technical leaders and partners across Google's businesses, giving you rare visibility into the industry's most advanced product stacks. 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. The US base salary range for this full-time position is $163,000-$237,000 + 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 [https://careers.google.com/benefits/].

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience in product management or related technical role.
2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
2 years of experience in scaled systems or big data systems.

Nice To Haves

Master's degree in a technology or business related field.
3 years of experience in a role preparing and delivering technical presentations to executive leadership.
2 years of experience in software development or engineering.
Experience with AI Frameworks (e.g., AI-Powered Product Development Lifecycle, AI Tools, and Ethical AI Development).

Responsibilities

Gain a deep understanding of the evolving data requirements for Google Search, Large Language Models (LLMs), RAG applications, and other information retrieval clients to inform the data acquisition strategy and roadmap.
Build and manage an actionable roadmap that allows Google DeepMind researchers to easily discover, access and utilize high quality datasets for training and model development.
Take technical products from conception to launch while selecting the appropriate methods to achieve scale.
Collaborate across the Product Management, Engineering, Legal, and Privacy teams to deliver horizontal customer journeys that are safe, compliant, and scalable.