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 a Senior Account Executive, you will manage a high volume of transactions from AI startups, mid-market and small businesses, universities, and independent ML researchers across multiple industries, while landing the pod's large, non-standard deals. You are an experienced, qualified seller who works mostly independently and acts as a go-to resource for other AEs.
What You’ll Do
Handle and own full sales cycle sales processes with a high volume of demand
Promptly respond to and serve prospective customers from several inbound sales funnels, including inbound phone calls, inbound website chats, and inbound emails
Generate pipeline through outbound prospecting, personalized emails, and cold calling
Land multi-million-dollar deals alongside your run-rate business, including large GPU clusters and multi-year commitments
Communicate deal strategy clearly to sales leadership and other departments, adjusting your style to the audience
Maintain strategic, long-term, trusting relationships with a high volume of clients in order to accomplish organic growth and long-term company objectives
Guide newer AEs on tricky deals and objections
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
Build and present a quarterly win plan for your territory, and own the pod plan's sections for large and multi-year deals
You
Have a proven track record selling cloud infrastructure (public cloud, IaaS, or GPU cloud), including committed and consumption-based deals
Have closed a high volume of deals ranging from $10K to $100K, in tandem with multi-million-dollar deals
Have 4–7 years of closing sales experience at a technology company, with a track record of top performance
Have the drive and energy to manage multiple accounts while looking for new opportunities
Have an ability to engage in both technical and business-level conversations with a variety of stakeholders, including engineering managers, ML researchers, and business leaders
Nice to Have
Existing relationships in the AI lab, enterprise AI, or research ecosystem
Experience selling capacity-constrained or hardware-backed products
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
- Proven track record selling cloud infrastructure, including public cloud, IaaS, or GPU cloud products
- Experience selling committed and consumption-based deals
- Closed a high volume of deals ranging from $10,000 to $100,000
- Experience closing multi-million-dollar deals
- 4-7 years of closing sales experience at a technology company
- Track record of top performance
- Ability to manage multiple accounts and identify new opportunities
- Ability to engage in technical and business-level conversations with engineering managers, ML researchers, and business leaders
- Existing relationships in the AI lab, enterprise AI, or research ecosystem
- Experience selling capacity-constrained or hardware-backed products
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 — Compensation is described as competitive or generous, particularly in technical roles. Some employees also highlight strong cash pay relative to workload and remote flexibility.
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Healthcare Strength — Healthcare coverage is described as comprehensive, with medical, dental, and vision benefits that extend to dependents. This core coverage is positioned as a strength alongside competitive pay.
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Leave & Time Off Breadth — Time off policies include flexible PTO that is encouraged and used, plus roughly 12 paid holidays and around 5 sick days. These elements are noted as helping reduce burnout and supporting flexibility.
Lambda Insights
What We Do
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure and the #1 GPU Cloud for ML/AI teams. Their mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
