Related skills
cloud python kubernetes mlops restful apis📋 Description
- Lead a team of Customer Success Engineers for cloud/AI workloads.
- Own day-to-day support ops, queue mgmt, escalations, 24x7 coverage.
- Build SME depth in Kubernetes, databases, compute, AI/ML workloads.
- Partner with Product and Engineering to improve experiences.
- Drive CSAT, response times, resolution times, quality.
- Foster automation-first support and AI tooling.
🎯 Requirements
- 5+ years in technical support, CS, or TAM in B2B SaaS/Cloud/AI/ML.
- 2+ years people mgmt in tech, customer-facing teams.
- Gen AI, LLMs, NLP, and MLOps knowledge.
- GPU infrastructure experience (NVIDIA H100/H200) and AI inference.
- Python and RESTful APIs; cloud architecture exposure.
- Excellent communication for technical and executive audiences.
- Problem-solving and de-escalation under pressure.
- Degree in CS/DS/Engineering and ITIL cert.
🎁 Benefits
- Remote role with global impact.
- Competitive salary and equity.
- Career development resources and training.
- Flexible time off and wellness programs.
- Equal opportunity employer with inclusive benefits.
- Access to conferences and LinkedIn Learning.
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