Anyscale Logo

Anyscale

Senior / Staff Product Manager - Ray Data

Reposted 19 Days Ago
Be an Early Applicant
In-Office
2 Locations
210K-240K Annually
Senior level
In-Office
2 Locations
210K-240K Annually
Senior level
Lead Ray Data, a scalable data processing library, by managing the product roadmap, encouraging open source adoption, and engaging with customers.
The summary above was generated by AI
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.

HQ

Anyscale San Francisco, California, USA Office

San Francisco, CA, United States, 94105

Anyscale Palo Alto, California, USA Office

Palo Alto, United States

Similar Jobs

9 Minutes Ago
Hybrid
San Francisco, CA, USA
155K-162K Annually
Senior level
155K-162K Annually
Senior level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
The Quantitative Methodologist Expert will design and deliver complex quantitative research solutions, applying advanced methodologies to address business questions and drive data-driven outcomes.
Top Skills: Advanced Quantitative Research MethodologiesChoice ModelingCluster AnalysisConjoint ModelingFactor AnalysisLatent Class SegmentationRegression Analysis
12 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
130K-154K Annually
Senior level
130K-154K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Manage and expand a defined portfolio of enterprise accounts through upsell, cross-sell, and multi-product sales. Build executive relationships, develop strategic account plans, drive Operations Cloud adoption, execute complex sales cycles with technical validation, and maintain disciplined forecasting in Salesforce.
Top Skills: Ai/MlAutomationCommand Of The Message (Com)MeddiccOperations CloudPagerdutySalesforce (Sfdc)
16 Minutes Ago
Remote or Hybrid
United States
210K-320K Annually
Expert/Leader
210K-320K Annually
Expert/Leader
Healthtech • Information Technology • Security • Software • Cybersecurity
Sell Imprivata access and security solutions to mid-enterprise healthcare accounts in the Northeastern US. Generate new business, manage account strategy, demo products, negotiate and close deals, expand existing accounts, maintain forecasts in Salesforce.com, and collaborate with internal teams and solution engineers. Up to 50% travel.
Top Skills: Salesforce

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account