*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 InformationThe 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
