Product Manager, AI Foundations Data Engineering
About The Position
At Google, Product Managers work cross-functionally to guide products from conception to launch, connecting technical and business needs and breaking complex problems into actionable steps. They collaborate with engineers, designers, marketers, and others to analyze, position, package, promote, and tailor solutions for users. In this role, you will own emerging data pipeline technologies that support and scale Google’s AI infrastructure. Based in San Jose, California, the position provides a local presence alongside engineering teams building data pipeline technologies and partners with AI-focused teams and DeepMind researchers to accelerate model speed-to-market. The role is part of Google’s Core team, which develops foundational design elements, developer platforms, product components, and infrastructure across Google.
Requirements
- 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, such as ideation through execution or end-to-end product development.
- Experience managing backend infrastructure and distributed data pipelines.
- Experience integrating generative AI tools or LLM interfaces into workflows.
Nice To Haves
- Master's degree in a technology- or business-related field.
- 3 years of experience preparing and delivering technical presentations to senior leadership.
- 2 years of experience in software development or engineering.
- 2 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders.
- 1 year of experience in technical leadership.
- Experience launching developer-facing tools, APIs, or system-level infrastructure frameworks.
Responsibilities
- Own the end-to-end product lifecycle, strategy, and roadmaps for key evolving data engineering technologies.
- Partner with stakeholders across Google and Alphabet to drive innovative solutions and grow products for emerging use cases.
- Collaborate with engineering teams to build frameworks and solutions that eliminate infrastructure bottlenecks.
- Enable researchers to deploy petabyte-scale feature pipelines to accelerate product velocity.
- Partner with cross-functional product managers across AI Foundations to advance the agentic capabilities of data products.
Benefits
- 15% bonus target
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
