Senior / Staff Product Manager - Ray Data
Company websiteanyscale.com (Anyscale, opens in new tab)
Base salary $210K to $240K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +1 more
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
All places named
- San Francisco, CA
- Palo Alto, CA
About this job
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
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
Preferred Qualifications
Prior experience with open source products and commercial monetization strategies
Background in ML tooling, data infrastructure, or developer tools
About Ray Data
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.
Why Anyscale
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
Competitive salary and equity, plus health/dental/vision coverage (many plans up to 99% employer-covered)
We offer flexible time off, paid parental leave, and mental health support
Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish
Source: Anyscale on Ashby · View original posting (opens in new tab)
This listingSenior / Staff Product Manager - Ray Data$210K to $240K
Software Engineer (Ray Data)$215K to $230K
Software Engineer (Ray Core)$215K to $265K
Staff Software Engineer, Platform Infrastructure (Foundations)$215K to $265K
Software Engineer, Infrastructure$200K to $240K
Senior Cloud Security Engineer$200K to $240K
Site Reliability Engineer, Platform Infrastructure (Foundations)$200K to $240K
Chart as a table
| Role | Published base |
|---|---|
| Senior / Staff Product Manager - Ray Data (this listing) | $210K - $240K |
| Software Engineer (Ray Data) | $215K - $230K |
| Software Engineer (Ray Core) | $215K - $265K |
| Staff Software Engineer, Platform Infrastructure (Foundations) | $215K - $265K |
| Software Engineer, Infrastructure | $200K - $240K |
| Senior Cloud Security Engineer | $200K - $240K |
| Site Reliability Engineer, Platform Infrastructure (Foundations) | $200K - $240K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2025-07-10
Where this pay comes from
Location as the employer wrote it: San Francisco • Palo Alto
USD 210,000 – 240,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
