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.
*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
As an Enterprise Account Executive, you will own a set of named enterprise, AI-native, and research accounts with large, multi-year compute needs. You bring deep sales experience and understand how Lambda's business fits together, from capacity planning to finance. You decide how to approach each account, and your results are measured on outcomes.
What You’ll Do
Own the full sales cycle for complex, multi-stakeholder deals: GPU clusters, reserved capacity, and private cloud
Build multi-year account plans to land and expand within your named accounts
Lead cross-functional deal teams with Solutions Engineering, Capacity, Finance, Legal, and Product
Structure creative commercial terms (term length, ramps, prepay, reserved vs. on-demand mix) aligned with Lambda's GPU supply
Sell to and influence executives outside your own function, tailoring the message to each audience
Generate new pipeline through targeted outbound, events, and partner relationships
Help improve how the sales team works: playbooks, pricing approaches, and forecasting
Report on a regular cadence: come to every weekly pipeline review and Weekly Business Review ready to review pipeline and forecast, keep Salesforce hygiene current, and earn customer references
Co-author and present the pod's quarterly win plan with the pod lead: scorecard, critical logos, top prospects, capacity demand, partner and NVIDIA plans, tactics, milestones and asks
You
Have 7+ years of closing sales experience at a technology company, including enterprise cloud infrastructure (public cloud, IaaS, or GPU cloud)
Have landed multi-million-dollar, multi-year deals, alongside a steady flow of $100K–$1M opportunities
Have deep knowledge of AI infrastructure economics: GPU generations, cluster networking, utilization, and total cost of ownership
Have executive presence and experience negotiating with procurement, legal, and C-level buyers
Have an ability to engage in both technical and business-level conversations with ML leaders, infrastructure teams, and executives
Nice to Have
Experience at a hyperscaler, GPU cloud, semiconductor, or data center company
Experience opening a new vertical or region
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.
Skills Required
- 7+ years of closing sales experience at a technology company
- Experience selling enterprise cloud infrastructure, public cloud, IaaS, or GPU cloud
- Experience landing multi-million-dollar, multi-year deals and managing $100K-$1M opportunities
- Deep knowledge of AI infrastructure economics, including GPU generations, cluster networking, utilization, and total cost of ownership
- Executive presence and experience negotiating with procurement, legal, and C-level buyers
- Ability to engage in technical and business-level conversations with ML leaders, infrastructure teams, and executives
- Experience at a hyperscaler, GPU cloud, semiconductor, or data center company
- Experience opening a new vertical or region
Lambda Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.
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Fair & Transparent Compensation — Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
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Healthcare Strength — Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
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Leave & Time Off Breadth — Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.
Lambda Insights
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
