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.