Group Product Manager, Managed Service for Apache Spark

Google•Kirkland, WA

1d•$240,000 - $333,000

About The Position

Google is hiring a Group Product Manager for its Managed Service for Apache Spark. The role is part of Google Cloud’s Agentic Data Cloud, which brings customer data, AI models, and operational databases together. Managed Spark is a compute engine for data engineering, streaming, and distributed machine learning across large enterprise datasets, and is positioned to support Agentic AI workloads such as multimodal data preparation, agent-trajectory log processing, and low-latency context refresh for live agents. The product manager will guide products from conception to launch, connecting technical and business considerations and working across product, engineering, design, sales, finance, and other stakeholders. The team operates like a fast-moving startup within Google Cloud, developing products on Google’s large-scale infrastructure. The role includes setting the product roadmap, defining commercial strategy, and advancing interoperable capabilities that support enterprise customers and broader Google Cloud goals.

Requirements

Bachelor's degree or equivalent practical experience.
10 years of experience in product management or a related technical role.
5 years of experience taking technical products from conception to launch.
4 years of experience developing or launching products or technologies involving Apache Spark, Lakehouse, Hadoop, or other open-source analytical engines.

Nice To Haves

Master's degree in a technology- or business-related field.
7 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.
5 years of experience in software development or engineering.
Strong foundational knowledge of data architectures supporting generative AI and autonomous systems, including RAG and parallelized preprocessing for LLM training.
Developer-centric focus, ability to identify pain points and build intuitive AI experiences, and demonstrated ability to deliver compelling technical presentations to executive leadership and external customers.

Responsibilities

Analyze emerging shifts in enterprise AI and set and execute the multi-year roadmap for Managed Spark, evolving the engine to power high-impact Agentic AI workloads.
Represent customer needs and define end-to-end commercial strategy, including pricing models, packaging, and unit economics, to grow market share and customer return on investment.
Collaborate with product and engineering leaders across Google Cloud Platform to deliver unified, interoperable capabilities that advance organizational goals and meet enterprise customer needs.
Lead directly by engaging in detailed work, conducting deep quantitative analysis, and creating foundational collateral.
Promote experimentation and high-velocity execution throughout the product development lifecycle.