• Drive the new set of innovation and growth powering Open Source Analytics at scale on Google Cloud.

• Work closely with customers, field and partners to address unmet need.

• Partner with business development and GTM teams to build growth strategies.

• Partner with engineering, research and key stakeholder teams to align roadmap and Objectives and Key Results (OKRs).

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.

In this role, you will be responsible for Google Cloud Platform (GCP) Data Analytics' big data analytics portfolio for Spark and other open source components in Dataproc and Serverless Spark.

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.

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in product management or related technical role.

• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc).

• Experience developing or launching products or technologies within databases, analytics, big data, or a related area.

• Experience in Apache Spark for data processing.