Group Product Manager, Managed Service for Apache Spark

MINIMUM QUALIFICATIONS: * 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 (e.g., ideation to execution, end-to-end, 0 to 1, etc). * 5 years of experience developing or launching products or technologies within databases, analytics, big data, or a related area. * Experience utilizing AI productivity tools to streamline business or development workflows. PREFERRED QUALIFICATIONS: * 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. * 7 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting). * Proven track record leading product strategy and commercialization for distributed compute systems, cloud data platforms, or managed open-source frameworks (e.g., Apache Spark). * Track record of building AI-assisted admin experiences. * Strong developer-centric focus to identify pain points and build intuitive AI experiences, with demonstrated ability to deliver compelling technical presentations to executive leadership and external customers. 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. Google’s Agentic Data Cloud empowers enterprises to transition from passive observation to autonomous action by unifying data, AI models, and operational systems into a real-time System of Action, enabling AI agents to reason, decide, and execute directly on enterprise data at scale. As the foundational open-source analytical engine within the Data Cloud, the team serves as the compute backbone for the Agentic era, delivering an AI-native and intelligent optimizing platform that powers next-generation data intelligence, composite AI, and autonomous agent workflows with unrivaled price-performance and infinite scale. As the product leader for Spark Platform, you will define and execute the product strategy and commercial model across compute modes to deliver a unified control plane, optimize fleet economics, and streamline go-to-market SKUs. You will drive product innovation to eliminate operational toil, guarantee industry-leading availability, provide deep FinOps governance, and ensure seamless integration across the broader Google Cloud ecosystem. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/]. RESPONSIBILITIES: * Own product requirement documents (PRDs) by overseeing collaboration with partner teams (e.g., engineers, PgMs, UX) during product design. * Own and oversee definition of product roadmaps. * Shape the multi-year technical roadmap of the Spark Platform and the unified control plane.  * Pioneer AI-Native Operations to transform the administrative plane through intelligent telemetry and autonomous runtime tuning. * Partner with engineering to optimize fleet economics and deliver industry best availability while strengthening fleet-wide unit margins.