Technical Success Engineer
Lambda· Sales & Marketing
Remote$214k - $285kFull-timePosted 2mo ago
About the role
The Superintelligence Technical Success Engineer owns deploying signed deployments from contract to production for Lambda's largest customers, validating builds, coordinating cross-functional teams, and ensuring a smooth onboarding to first production workload.
Responsibilities
- Take signed deployments, from contract, to live, to working production environments, validating configuration, connectivity, storage, and compute against what was promised
- Bring technical depth to validation and troubleshooting conversations — asking the right questions, spotting gaps, and working closely with engineering and infrastructure teams to drive issues to resolution
- Coordinate with Infrastructure, Engineering, Product, and Data Center teams to close technical dependencies and resolve blockers
- Own a current, accurate technical picture of the deployment — what's built, what's open, what's at risk
- Keep stakeholders informed with clear, regular status updates: RAG status, top risks, and what's being done about them
- Guide the customer through onboarding to their first successful production workload
- Be the customer's go-to technical contact through deployment and early production
- Feed recurring technical patterns back into reusable runbooks, checklists, or automation
- Transition out once the customer is stable and self-sufficient, keeping the broader account team informed along the way
Qualifications
- 4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems
- Comfortable being the technical voice in the room able to validate builds, spot gaps, and hold engineering teams accountable for resolving them
- Strong troubleshooting instincts and a willingness to get into the weeds of networking, storage, or compute issues
- Track record of coordinating across engineering and infrastructure teams to close out technical dependencies
- Clear written and verbal communication for status updates and technical documentation
- A bias toward diving in and taking ownership, rather than waiting for a fully defined process
Skills
Required:GPU/HPC infrastructureCloud platformsKubernetesLinux systemsTroubleshooting
Benefits
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Last updated Sep 24, 2026. Interested? Apply on the company site.
About Lambda
The Superintelligence Cloud
The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.
AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1
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