Senior Account Executive - Lambda Cloud

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.

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.

Responsibilities

• 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

Requirements

• 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

Benefits

• 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