Related skills
databases cloud python kubernetes mlops📋 Description
- Lead a high-performing CSE team delivering 24x7 support for strategic customers.
- Own day-to-day operations, escalations, queue management, and KPIs/SLAs.
- Build technical depth across Kubernetes, Databases, Compute, and AI/ML workloads.
- Partner with Product and Engineering to improve customer experience and product quality.
- Manage critical incidents for enterprise customers; Sev1/Sev2 escalations.
- Drive automation and tooling to improve efficiency and scalability.
🎯 Requirements
- 5+ years in Technical Support, Customer Success, or TAM in B2B SaaS/Cloud/AI/ML.
- 2+ years of people management of technical, customer-facing teams.
- Strong AI/ML domain expertise incl Generative AI, NLP, and MLOps.
- Experience with GPU infrastructure (NVIDIA H100/H200) and AI inference workloads.
- Proficiency in Python; troubleshooting RESTful APIs and cloud architecture.
- Bachelor's or Master's in CS/Engineering/Data Science; ITIL cert.
🎁 Benefits
- Remote role with flexible location.
- Career development via conferences, training, and LinkedIn Learning.
- Reimbursement for conferences and education.
- Equity compensation and Employee Stock Purchase Program.
- Competitive benefits and well-being programs worldwide.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!