Anyscale
Senior / Staff Product Manager - Ray Data
San Francisco · Staff+
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About the role
- 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
- Thinking deeply about and clearly articulating the product strategy to stakeholders
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.
- Drive the Ray Data product roadmap
- Drive open source Ray Data adoption
- Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation.
- Drive key customer engagements assisting sales and field engineering teams.
Requirements
- 4+ years of product management experience with technical products
- Experience working with developer and enterprise audiences
- Strategic thinking with ability to balance competing priorities and stakeholder needs
Nice to have
- Prior experience with open source products and commercial monetization strategies
- Background in ML tooling, data infrastructure, or developer tools
- We're on a mission to make scalable computing effortless.
- Ray is the AI Compute Engine at the center of some of the world's most powerful AI platforms
- Our tech is in production at companies like OpenAI, Uber, Spotify, Instacart, and Cruise
- We're backed by Andreessen Horowitz, NEA, and Addition, with $250M+ raised to date
- Recent partnerships with Azure, CoreWeave, and Google Cloud are putting AI-native compute directly into enterprise environments
- It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.
Compensation
- Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)
Company info
- 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:
- 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.
This listing is sourced directly from Anyscale's careers page and normalized into a canonical job model.