Engineering Manager, Ray Data

The role

You will manage the open source Ray Data team, which is a Python-native data processing engine for AI workloads. You will lead engineers, set technical direction and roadmaps, and work with the open source community.

What you will do

• Set the technical direction and roadmap for open source Ray Data
• Drive execution of the team's key projects from design review through release
• Hire, coach, and grow a team of distributed systems and data infrastructure engineers
• Run the team day to day including planning, prioritization, project tracking, on-call, and release quality
• Stay technically hands-on through design and code review, performance investigations, and escalations
• Represent Ray Data in the open source community and work with external contributors
• Partner with Ray Core, Ray Train, Ray Serve, and Anyscale platform teams
• Work with product management, field engineering, and customers to understand workloads
• Build and maintain a team culture of collaboration, ownership, and high engineering standards
• Communicate the team's work through talks, tutorials, blog posts, and at Ray Summit

Required qualifications

• 7+ years of software engineering experience
• 2+ years directly managing engineers
• A record of building high-performing distributed teams and helping them scale quickly
• Experience with building and managing teams across geographic locations
• Ability to keep a high hiring bar, motivate the team, coach and mentor engineers, and handle performance management issues
• Deep technical knowledge of distributed systems and data-intensive systems
• Hands-on depth in Python and performance-sensitive systems code
• A great track record of execution with a sense of urgency and excellent prioritization skills
• Effective written and verbal communication with engineers, customers, and an open source community

Nice to have

• Experience leading or maintaining a widely used open source project
• Hands-on experience with Ray, Spark, Flink, Beam or similar engines
• Experience with Apache Arrow, columnar formats, or table formats such as Iceberg and Delta Lake
• Experience with GPU workloads, LLM or multimodal batch inference, or data loading for large-scale model training
• Experience operating data or ML infrastructure in production

Benefits

• Competitive salary and equity
• Health/dental/vision coverage (many plans up to 99% employer-covered)
• Flexible time off
• Paid parental leave
• Mental health support

About the company

Anyscale is commercializing Ray, a popular open-source project for scalable machine learning. The company is backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.