Related skills
aws python kubernetes google cloud rest apisπ Description
- Lead and develop a team of Customer Success Engineers for strategic customers.
- Own 24x7 support operations, queue management, and escalations.
- Drive CSAT, response times, and resolution quality.
- Build depth in Kubernetes, Databases, Compute, and AI/ML workloads.
- Manage Sev1/Sev2 incidents for enterprise customers.
- Partner with Product and Engineering to improve CX and product quality.
π― Requirements
- 5+ years in Technical Support, CS, or TAM in B2B SaaS/Cloud/AI/ML.
- 2+ years people management in tech, customer-facing teams.
- AI/ML concepts including MLOps; GPU infra experience.
- Python proficiency; RESTful APIs and cloud architecture.
- Excellent verbal and written communication; explain tech to execs.
- Proven problem solving and de-escalation under enterprise pressure.
π Benefits
- Career development resources and LinkedIn Learning access.
- Competitive benefits with flexible time off; location varies.
- Equity compensation and Employee Stock Purchase Plan.
- Inclusive employer; equal opportunity and support.
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