Enterprise Account Executive

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.