Engineering Manager, Ray Data
Anyscale · San Francisco
Infrastructureonsitemanager$267k–$375k
At a glance
Highlights
- Lead the open-source Ray Data team powering AI data processing at scale.
- Own streaming execution engine for batch inference and training data loading.
- Shape roadmap with AI-native customers running Ray Data at large scale.
What they offer
- Equity awards
- Health/dental/vision coverage
- Flexible time off
- Paid parental leave
- Mental health support
Ideal candidate
An engineering leader who loves building high-performing distributed teams and staying hands-on in open source. You thrive coaching engineers and shaping data infrastructure for real-world AI workloads.
Requirements
- 7+ years of software engineering experience including 2+ years managing engineers
- Track record building high-performing distributed teams and scaling culture
- Experience managing teams across geographies, preferably US and India
- Deep technical knowledge of distributed systems
- Strong communication with engineers, customers, and open source community
Lab profile
About Anyscale
Democratizing distributed computing by commercializing Ray for scalable machine learning and AI.
What they build
- Ray
- Ray Data
- Anyscale Runtime
Known for
- Distributed computing
- Scalable machine learning
- Distributed LLM inference
- Cloud infrastructure
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