Enterprise Account Executive - Lambda Cloud
Quick Summary
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,
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.
Responsibilities
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Own the full sales cycle for complex, multi-stakeholder deals: GPU clusters, reserved capacity, and private cloud
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Build multi-year account plans to land and expand within your named accounts
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Lead cross-functional deal teams with Solutions Engineering, Capacity, Finance, Legal, and Product
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Structure creative commercial terms (term length, ramps, prepay, reserved vs. on-demand mix) aligned with Lambda's GPU supply
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Sell to and influence executives outside your own function, tailoring the message to each audience
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Generate new pipeline through targeted outbound, events, and partner relationships
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Help improve how the sales team works: playbooks, pricing approaches, and forecasting
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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
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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
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
~1 min readExperience at a hyperscaler, GPU cloud, semiconductor, or data center company
Experience opening a new vertical or region
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.
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
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.
Location & Eligibility
About this job
- Posted
- 1 day ago
Listing Details
- Posted
- November 13, 2026
- First seen
- November 14, 2026
- Last seen
- November 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- November 14, 2026
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