Inferred from the employer’s wording in this job description. These role-level signals are separate from the company-wide employee-review scores below.
The company behind Ray ยท San Francisco
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
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.
4+ years of product management experience with technical products
Strong technical background in distributed systems, ML infrastructure, or data processing
Experience working with developer and enterprise audiences
Strategic thinking with ability to balance competing priorities and stakeholder needs
Located in or willing to relocate to the Bay Area
Prior experience with open source products and commercial monetization strategies
Background in ML tooling, data infrastructure, or developer tools
Ray Data is a scalable data processing library built on Ray Core that provides flexible and performant APIs for distributed data processing. It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.