Sr. Product Manager
ClouderaAbout the role
Business Area:
Product Mgmt.Seniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
Our Data Services Pillar is the heart of data innovation. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.
Cloudera is seeking a Senior Product Manager for the CDP Engines team, focusing on Apache Impala and Kudu. This is a high-impact role that will shape product strategy, drive customer success, and influence Cloudera’s long-term direction. You will lead the full product lifecycle—from vision to execution—partnering closely with engineering, marketing, and sales. Your experience in data warehousing will enable you to define a clear product vision and strengthen our presence in the cloud.
You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.
Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.
As a Senior Product Manager you will:
Create and execute a product strategy that appeals to the unique needs and requirements of Cloudera customers
Manage the entire product life cycle from strategic planning to tactical execution
Define product requirements based on an intimate knowledge of the specific market segments, customers, and existing product capabilities
Drive field enablement, working to ensure that solution engineers and account executives have what they need to be successful
Work directly with customers on the front line, helping to drive adoption
Build relationships with key customer stakeholders to ensure that we remain laser focused on the customers’ experience and satisfaction
Identify new opportunities for Cloudera to innovate on behalf of our customers
Support sales teams, leading calls with key customers to ensure all parties have confidence in Cloudera’s capabilities today and in the future to meet their data warehousing needs
Establish goals and review metrics to prove the effectiveness of the delivered capabilities
Drive the product strategy, vision, and execution of our mission - working closely with our sales, engineering, documentation and partner teams to define success and win
Advance the state of the art for user experience, performance, and security of the world’s fastest, most scalable data warehousing engines
We’re excited about you if you have:
Ability to operate at high bandwidth, context switching regularly across multiple work streams
Excellent written and verbal communication, applied equally well to both technical and non-technical stakeholders
Technical and business acumen to interface with teams of all levels and disciplines within an organization, from engineers to senior leadership
Conceptual and practical expertise with database management systems - e.g. query optimization, indexes, data modeling, etc.
Knowledge of distributed data systems - e.g. consistency, CAP theorem, performance optimization, etc.
Proficiency with SQL, especially for analytics purposes
Have a good understanding of the data mesh market
Experience working with Impala or Kudu is a must
Storytelling and narrative building using the written word, as well as data and metrics
Experience collecting, analyzing, and summarizing
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