Anyscale
Technology
CustomerEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Customer Engineer at Anyscale. Skills: Customer Success, Machine Learning, Distributed Systems. Resolve customer issues. Help customer adoption”
Industry & Context.
Troubleshooting; Debugging; Root cause analysis
Follow-the-sun support model
What They're Looking For.
Must Have
3+ years customer-facing technical role, Organizational skills, Ability to manage multiple customer needs, Excellent communication skills, Excellent interpersonal skills, Sense of ownership, Self-motivation, Eagerness to acquire new skills, Willingness to do new things
Nice to Have
Experience with Ray, Knowledge of MLOps platforms, Knowledge of container orchestration platforms, Knowledge of infrastructure as code, Knowledge of CI/CD tools
What You'll Do.
Resolve customer issues
Help customer adoption
Be a technical advisor
Be an internal champion
Own customer issues end-to-end
Troubleshoot customer issues
Triage customer issues
Escalate customer issues
Resolve customer tickets
Drive customer consumption
Participate in follow-the-sun support
Ensure continuity in resolving tickets
Keep track of open bugs
Keep track of feature requests
Provide timely customer updates
Contribute towards improvement of internal tools
Document best practices
Provide feedback to teams
Collaborate with product teams
Collaborate with engineering teams
Address customer issues
Improve product experience
Build relationships with stakeholders
Maintain relationships with stakeholders
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Work with engineering teams; Work with product teams
Communication Scope
Customer updates
Full Job Description
About Anyscale At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation-at-spotify-with-ray/, Instacart https://www.youtube.com/watch?v=3t26ucTy0Rs&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=23&pp=iAQB, Cruise https://www.youtube.com/watch?v=gj0BqvfX_wI&list=PLzTswPQNepXmLUiL4F_1VHrPcCz1OeILw&index=46&pp=iAQB, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition https://www.wsj.com/articles/ai-startup-anyscale-adds-99-million-to-andressen-horowitz-led-funding-round-11661254200 with $250+ million raised to date. About the role The Customer Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption. Anyscale is an ever evolving platform and hence will require close co-ordination with our engineering teams to debug complex issues. This is an exciting role for those who are technically curious and passionate about ML/AI, LLM, vLLM and the role of AI in next generation applications. It’s an opportunity to make a significant impact in a collaborative, fast-paced environment while building a new segment in this space. In thi
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