Product Manager - People Data

Product Manager, People Data

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 in taking technical products from conception to launch.

Preferred qualifications:

• Experience leading "0-to-1" product initiatives, including rapid prototyping, customer validation, and managing the transition from incubation to scaled product.
• Experience engaging with customers or partners at an executive level to drive strategic business and technical collaborations.
• Experience working with engineering teams to define technical roadmaps, architectural standards, and product requirements.
• Experience collaborating with teams across functions and geographies.
• Experience in AI/ML projects or initiatives.

2 years of experience in taking technical products from conception to launch.Experience engaging with customers or partners at an executive level to drive strategic business and technical collaborations.Experience engaging with customers or partners at an executive level to drive strategic business and technical collaborations.

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.

The People Data organization is delivering an AI-ready data and infrastructure foundation to accelerate the deployment of intelligent applications across People Operations.

As a Product Manager, you will be responsible for the product strategy and roadmap of our data-centric foundations. You will guide engineering, operations, and UX functions to build systems that unify fragmented data into a single source of truth. This role is entrepreneurial and strategically important, as you will influence the essential data structures required to represent the complex life cycle of a Googler's journey.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

As a Product Manager, you will be responsible for the product strategy and roadmap of our data-centric foundations. You will guide engineering, operations, and UX functions to build systems that unify fragmented data into a single source of truth. This role is entrepreneurial and strategically important, as you will influence the essential data structures required to represent the complex life cycle of a Googler's journey.

Responsibilities

• Define and execute a product goal and roadmap that transforms legacy architectures into scalable, AI-ready frameworks to drive business outcomes.
• Conduct continuous user research and deep discovery to validate the four big risks: value, usability, feasibility, and viability.
• Articulate and translate the business value of a connected data ecosystem into tangible outcomes, such as reduced costs and improved digital experiences.
• Align cross-functional leaders and global partners to ensure data products meet the requirements of multiple product areas.
• Design unified data models and AI-first strategies that maintain strict adherence to privacy boundaries and secure governance.

Experience Level

Mid Level