Product Manager, Data Indexing, AI Foundations

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management, or a 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.).

• Experience integrating generative AI tools or LLM interfaces into workflows.
• Experience building and scaling developer platforms, developer-facing

• APIs/SDKs, or general backend infrastructure (e.g., for search or AI
• applications).

PREFERRED QUALIFICATIONS

• Master's degree in a technology or business related field.
• 2 years of experience in software development or engineering.
• 1 year of experience in technical leadership.
• Experience with data processing using Large Language Models (LLMs), Model

Development, Model Training, Retrieval-Augmented Generation (RAG).

• Exceptional cross-functional leadership skills, with the ability to influence

without authority across engineering, research, and product areas.

• Excellent problem-solving skills, with the ability to define user journeys

and success metrics.

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.

• This new AI development phase demands radically innovating how we acquire,
• process, and index fresh, high-quality multimodal data. Raw, web-scale crawled
• data must become trusted, structured data to fuel Large Language Model (LLM)
• training and enable agentic applications to retrieve and reason over context.

• As a Product Manager, you will define the strategy for our planet-scale data
• processing platform. In this role, you will evolve multimodal pipelines to power
• Google's core AI models, Gemini, and next-generation agents. Partnering with
• technical leaders, Directors, and teams across Google's marquee businesses, you
• will bridge technology and governance to build the foundational data stack
• shaping the future of AI.
• 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.Individual pay is determined by factors including job-related skills,
• experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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 native multimodal data pipelines
• strategy using AI-based signal processing technologies.

• Build and manage an actionable roadmap that accelerates model development by

DeepMind researchers, AI adoption by Google’s marquee businesses.

• Take technical products from conception to launch by driving execution to

achieve desired business impact.

• Partner across the Product Management, Engineering, Program, Research and

• Customer Engagement partners to align priorities, influence decisions and
• remove execution blockers.