Senior Product Manager responsible for defining Cloudera’s AI Workbench and driving product lifecycle. Engaging in market research and leading cross-functional teams for product development.
Responsibilities
Define and drive the product roadmap for Cloudera’s AI Workbench, aligning with Cloudera's Data & AI strategy and go-to-market initiatives
Conduct in-depth market research, competitive analysis, and customer engagement to identify market opportunities, customer pain points, and emerging trends in AI, agentic AI, data processing, and data governance
Translate complex customer needs and market opportunities into detailed product requirements, user stories, and acceptance criteria for engineering teams
Collaborate closely with engineering, design, go-to-market and other cross-functional teams to ensure successful product development and delivery
Lead the entire product lifecycle from concept to launch and post-launch optimization, ensuring high-quality, scalable, and secure product offerings
Work with sales, marketing, and field enablement teams to develop compelling product positioning, messaging, and go-to-market strategies
Champion product adoption and customer success through strong advocacy, thought leadership, and engagement with key customers and partners
Monitor and analyze product performance metrics, identifying areas for improvement and driving continuous product enhancements
Stay abreast of industry trends, technologies, and best practices in AI, agentic AI, machine learning, data management, and data governance.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related technical field
MBA or advanced degree is a plus
4+ years of experience in product management, with a strong focus on AI/ML, data platforms, data governance, or data quality products
Proven track record of successfully defining, launching, and managing enterprise-grade software products in a fast-paced environment
Experience building and scaling enterprise products
Experience with cloud platforms (AWS, Azure, GCP) and hybrid cloud environments
Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences
Demonstrated ability to lead cross-functional teams and influence stakeholders at all levels
Strategic thinker with a strong business acumen and a customer-centric approach
Experience with Agile development methodologies
Familiarity with open-source data and AI technologies such as Python, Jupyter, scikit-learn, pytorch
Previous experience as a data scientist or data analyst.
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