Description review
Technical Success Engineer
Lambda · USA · back to the listing
HR standards
58/100
needs work
Title ↔ description
73/100
solid
Reads as
Customer Success Manager
97% confident
What this role officially is
client relations manager — ESCO, the EU occupation classification
Client relations managers act as the middle person between a company and its customers. They ensure that the customers are satisfied by providing them with guidance and explanation on their accounts and services received by the company. They also have possible other tasks such as developing plans or delivering proposals.
Also known as: customer service executive, client service manager, client relationship manager, customer service representative, consumer relations manager, client manager
How others title the same work
Large employers
- Customer Solutions Manager, EDU & SLG Western Region - CSM Amazon.com
- Technical Account Manager, Newspack Automattic
- Customer Success - Team Manager Canonical
- Enterprise Customer Success Manager (Japanese speaker) Canonical
- Graduate Customer Success Manager Canonical
Startups
- Manager / Director of Customer Success Craniometrix
- Founding GTM - Deployment Strategist Credal.ai
- Deployment Strategist (Munich Office) Dataleap
- Founding Customer Success Manager Clicks Health
- Founding Deployment Strategist Closure
What the listing never says
- 27 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
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
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
•
Founded in 2012, with 500+ employees, and growing fast
•
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
•
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
•
Our values are publicly available: https://lambda.ai/careers
•
We offer generous cash & equity compensation
•
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
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
If you'd like to build the world's best AI cloud, join us.
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
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
•
Founded in 2012, with 500+ employees, and growing fast
•
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
•
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
•
Our values are publicly available: https://lambda.ai/careers
•
We offer generous cash & equity compensation
•
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
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.