Workplace
On-site
Employment
Full-Time
Published
Jul 10, 2025
Closes
No date supplied
The role
ABOUT THE ROLE Anyscale is seeking a Senior / Staff Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads. This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for Anyscale RunTime, our high-performance commercial engine. You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires: - Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffs - Working closely with customers and open source users to draw the subtle line between growth and commercialization - Strategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value. - Thinking deeply about and clearly articulating the product strategy to stakeholders KEY RESPONSIBILITIES - Drive the Ray Data product roadmap - Balance open source Ray Data feature development with Anyscale Runtime commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and Anyscale Runtime remains sufficiently compelling. - Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrations - Market Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation. - Customer engagement - Drive key customer engagements assisting sales and field engineering teams. REQUIRED QUALIFICATIONS - 4+ years of product management experience with technical products - Strong technical background in distributed systems, ML infrastructure, or data processing - E
Requirements
Department: Product; Team: 340 Product Management