Product Manager, Storage Ecosystem, Core Data Foundations

Product Manager, Storage Ecosystem, Core Data Foundations

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.

The Storage Ecosystem provides products and solutions that enable best practices when working with storage engines. The organization is heavily invested in canonical storage for LLM training data, in particular frontier post-training for Gemini foundation models. Its strategic pillars are split across several focus areas including: Search, Extensibility, Authorization, and Data Integrity. This role will focus on developing products for extended storage system capabilities that power AI/ML data and user journeys. More specifically, the products will enable custom computations to be performed by storage and query engines while simplifying the deployment and accessibility of business logic. This is a technically complex space that would greatly benefit from a motivated Product Manager with a passion for artificial intelligence.

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.

Responsibilities:

• Define AI/ML product strategy and goal.
• Cadence communication and presentations to executive leaders highlighting AI product strategy, technical execution, product challenges, and AI product opportunities for investment.
• Build trust and rhythm with stakeholders across Google to understand needs, challenges, and priorities while collaborating on joint strategies and future opportunities.
• Partner with UX researchers on initiatives including studies, user research, technical requirements, and product opportunities.
• Collaborate with engineering teams to translate strategy and research into priorities, initiatives, and execution plans.