Technical Success Engineer

About this role

The Superintelligence Technical Success Engineer is part of Lambda's Superintelligence business unit, dedicated to our largest, most strategic customers operating in the most complex environments. This role owns taking signed deployment from contract to a live, fully operational production environment. The role requires strong technical acumen to validate the build against what was promised, spot gaps, and work effectively with engineering and infrastructure teams to get issues resolved and requirements clearly understood.

You'll work alongside the account team, to make sure the customer's requirements and expectations are clearly understood and addressed throughout deployment. This role calls for someone who's ready to dive in wherever the engagement needs them.

What You'll Do

• 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

You

• 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

Nice to Have

• Exposure to large-scale GPU cluster deployments
• Familiarity with project/program tracking tools and structured status reporting
• Experience building runbooks or checklists that outlived the engagement they were built for