Product Manager – Data Platform

Role Overview

• Assume complete end-to-end ownership for the Cloudera Search, Cloudera Semantic Search, and Cloudera GraphDB engines within the CDP Engines team.
• Drive the strategic vision, roadmap, and execution across all aspects, and define the competitive landscape.
• Lead extensive cross-functional collaboration with engineering, design, sales, presales, and customer support teams to deliver industry-leading products.
• Study and understand market trends and technological advancements in the enterprise search, processing engines, and knowledge management domains.
• Analyze competitors’ products to identify areas of differentiation.
• Create, prioritize, and maintain a product roadmap for engineering solutions, balancing new features, technical debt, and market-driven requirements.
• Make high-impact decisions regarding resource allocation and feature prioritization for a product area critical to enterprise customers.
• Produce functional analysis to identify the best options and engineering requirements.
• Partner closely with engineering teams to understand technical trade-offs and architecture to successfully influence product design.
• Transform data into actionable insights, leveraging data science and analytical tools to inform strategic decisions.
• Develop and maintain metric dashboards, ensuring optimal resource allocation across competing objectives.
• Drive customer and field engagement, including gathering feedback, collaborating with sales and customer support for insights, and analyzing customer data to inform product strategy.
• Serve as an internal and external expert on data engineering, data preparation, and processing from the edge across cloud environments to the customer data centers.
• Work directly with customers and field teams to grow the business.

Requirements

• 3+ years of experience in Product Management or Technical Product Management, preferably in AI and data platform domains.
• Experience with vector databases as a user
• familiarity with Pinecone, Qdrant, Milvus, or LanceDB
• Demonstrated ability to drive product strategy and execution for a complex technical domain.
• Experience making framework-driven, data-driven decisions for making requirement priority tradeoffs.
• Proven ability to create complete and concise product requirements, prioritizing to minimum viable first versions, and sequencing multiple requirements to build toward larger user journeys.
• Demonstrated experience in leading large deliverables as part of a larger product release and driving internal initiatives for the product team.
• Effective communicator, able to present product roadmaps in high-stakes customer briefings and synthesize complex data to communicate decisions across stakeholders.
• Ability to collaborate effectively with engineering, sales, presales, and customer support teams.
• Understanding of cloud services — compute, storage, networking, and security.
• Experience collaborating with engineering, architecture, and operations teams to drive infrastructure strategy.
• Ability to translate technical architecture into business outcomes and prioritize effectively.
• Bsc/Msc in related field or equivalent experience
• Experienced in data engineering, data preparation, and processing from the edge across cloud environments to the customer data centers.

Tech Stack

• Cloud

Benefits

• Generous PTO Policy
• Support work life balance with Unplugged Days
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups