G

Google

Runs Search and YouTube and builds Gemini AI

Group Product Manager - Managed Service for Apache Spark

Technical Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A 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, such as ideation to execution or end-to-end delivery.
  • 4 years of experience developing or launching products or technologies within Apache Spark, Lakehouse, Hadoop, or other open-source analytical engines.
  • A master's degree in a technology or business-related field is preferred.
  • 7 years of experience working cross-functionally with engineering, UX/UI, sales finance, and other stakeholders is preferred.
  • 5 years of experience in software development or engineering is preferred.
  • Strong foundational knowledge of data architectures supporting generative AI and autonomous systems, including retrieval-augmented generation (RAG) and parallelized preprocessing for large language model training.
  • A developer-centric focus to identify pain points and build intuitive AI experiences, with demonstrated ability to deliver technical presentations to executive leadership and external customers.

Responsibilities

  • Analyze next-generation shifts in enterprise AI to set and execute the multi-year roadmap for Managed Spark, evolving the engine to power high-impact agentic AI workloads.
  • Advocate for and represent customers and define the end-to-end commercial strategy, including pricing models, packaging, and unit economics, to drive 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 enterprise customer needs.
  • Operate as a direct leader who dives into details, conducts deep quantitative analysis, and crafts foundational collateral.
  • Advocate for a culture of experimentation and high-velocity execution within the product development lifecycle.
  • Guide products from conception to launch by connecting technical and business considerations and breaking complex problems into steps that drive product development.
  • Analyze, position, package, promote, and tailor solutions to users throughout the product execution cycle.

Desired Qualifications

  • 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 retrieval-augmented generation (RAG) and parallelized preprocessing for large language model training.
  • A developer-centric focus to identify pain points and build intuitive AI experiences, with demonstrated ability to deliver technical presentations to executive leadership and external customers.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

Recently Posted Jobs

Explore more opportunities at Google

See more jobs