Product Manager - Cloud Data Analytics

As a Product Manager at Google Cloud Dataproc, you will play a crucial role in guiding products from conception to launch by bridging the technical and business aspects. You will have the opportunity to work in a collaborative and cross-functional environment, aiming to bring innovative solutions that impact millions of users daily. Key Responsibilities: - Drive the new set of innovation and growth for Cloud Dataproc, enabling Open Source Analytics at scale on Google Cloud. - Collaborate closely with customers, field teams, and partners to address unmet needs effectively. - Partner with business development and Go-To-Market (GTM) teams to develop growth strategies. - Align roadmap and Objectives and Key Results (OKRs) with engineering, research, and key stakeholder teams to drive product success. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 5 years of experience in product management or a related technical role. - 2 years of experience taking technical products from conception to launch. - 2 years of experience developing or launching products within databases, analytics, or big data. - Experience with data analytics tools (e.g., Hadoop, Spark) is preferred. - Prior experience working on developer tools or open source projects. - Self-starting product manager accustomed to driving results in collaborative, cross-functional environments. In this role, you will be at the forefront of accelerating growth by analyzing market trends, understanding customer challenges, defining strategies, and launching capabilities to meet customer needs. Additionally, you will lead the open source and customer innovation perspective to shape the product direction and engage with customers globally. Google Cloud empowers organizations worldwide to digitally transform their businesses with cutting-edge technology solutions. Join us in delivering enterprise-grade products that enable growth and solve critical business challenges for customers in over 200 countries and territories. As a Product Manager at Google Cloud Dataproc, you will play a crucial role in guiding products from conception to launch by bridging the technical and business aspects. You will have the opportunity to work in a collaborative and cross-functional environment, aiming to bring innovative solutions that impact millions of users daily. Key Responsibilities: - Drive the new set of innovation and growth for Cloud Dataproc, enabling Open Source Analytics at scale on Google Cloud. - Collaborate closely with customers, field teams, and partners to address unmet needs effectively. - Partner with business development and Go-To-Market (GTM) teams to develop growth strategies. - Align roadmap and Objectives and Key Results (OKRs) with engineering, research, and key stakeholder teams to drive product success. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 5 years of experience in product management or a related technical role. - 2 years of experience taking technical products from conception to launch. - 2 years of experience developing or launching products within databases, analytics, or big data. - Experience with data analytics tools (e.g., Hadoop, Spark) is preferred. - Prior experience working on developer tools or open source projects. - Self-starting product manager accustomed to driving results in collaborative, cross-functional environments. In this role, you will be at the forefront of accelerating growth by analyzing market trends, understanding customer challenges, defining strategies, and launching capabilities to meet customer needs. Additionally, you will lead the open source and customer innovation perspective to shape the product direction and engage with customers globally. Google Cloud empowers organizations worldwide to digitally transform their businesses with cutting-edge technology solutions. Join us in delivering enterprise-grade products that enable growth and solve critical business challenges for customers in over 200 countries and territories.