Senior / Staff Product Manager - Ray Data

Anyscale Anyscale · Data AI · San Francisco, CA · Product

Product Manager for Ray Data, a scalable data processing library for ML and AI workloads. The role involves balancing open-source adoption with commercial product development, owning the product roadmap, and engaging with customers, engineering, and the open-source community. Requires experience in distributed systems, ML infrastructure, or data processing.

What you'd actually do

  1. Drive the Ray Data product roadmap
  2. Drive open source Ray Data adoption
  3. Market Positioning & Enablement
  4. Customer engagement

Skills

Required

  • 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

Nice to have

  • Prior experience with open source products and commercial monetization strategies
  • Background in ML tooling, data infrastructure, or developer tools

What the JD emphasized

  • balancing open source growth with commercial differentiation
  • balancing open source Ray Data feature development with Anyscale Runtime commercial differentiation
  • ensuring that both Ray Data becomes the open source standard for AI data processing and Anyscale Runtime remains sufficiently compelling

Other signals

  • leading Ray Data, a scalable data processing library for ML and AI workloads
  • balancing open source growth with commercial differentiation
  • driving rapid adoption in the open source Ray Data ecosystem
  • building compelling proprietary features for Anyscale RunTime
  • owning the entire Ray Data product roadmap
  • working closely with the engineering team, the field team, enterprise customers, and the open source community
  • driving the Ray Data product roadmap
  • balancing open source Ray Data feature development with Anyscale Runtime commercial differentiation
  • ensuring that both Ray Data becomes the open source standard for AI data processing and Anyscale Runtime remains sufficiently compelling
  • driving open source Ray Data adoption
  • focus on community growth, developer experience, and ecosystem integrations
  • customer engagement
  • driving key customer engagements assisting sales and field engineering teams
  • scalable data processing library built on Ray Core
  • enables offline batch inference and data preprocessing for ML training
  • scaling data processing to large clusters