Commercial Hardware Account Executive

Lambda's GPU Solutions are used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep-learning solution, join us. 

What You’ll Do 

• Manage the entire sales process from start to finish, handling a significant number of sales opportunities
• Promptly respond and serve prospective clients from several inbound sales funnels, including inbound phone calls, inbound website chats, and inbound emails
• Generate pipeline through personalized emails, outbound calling, and prospecting
• Maintain strategic, long-term, trusting relationships with a high volume of clients to accomplish organic growth and long-term company objectives
• Forecast revenue goals and drive short and long-term revenue opportunities
• Engage startup customers and partners to learn the early indicators of market disruptions
• Contribute to the development and execution of our outbound strategy. This includes on-site presentations, executive-level networking, and conference attendance

You 

• Have a background or strong interest in selling cloud computing, GPU hardware, or infrastructure as a service (IaaS)
• Possess excellent time management and organizational skills. A Commercial Account Executive responds/outbounds to and qualifies approximately 20 prospects per day.
• Have closed multiple deals ranging from $50k to $1M
• Have the drive and energy to manage multiple accounts while looking for new opportunities
• Will engage in both technical and business-level conversations with a variety of stakeholders, including C-level personnel, engineering managers, ML researchers, and Ph.D. students
• Have excellent social skills and can work across all internal functions (engineering, sales, marketing, executives), as well as external partners and customers
• Love to follow a sales process: you build habits of documenting sales calls and meetings, and following up with prospects
• Have the ability to travel for conferences and on-site meetings
• Have the ability to create strong relationships with your clients

Nice to Have

• Experience in the machine learning or computer hardware industry
• 2-5 years of direct sales experience in a closing role
• Prior experience working in a startup or high-growth environment and a strong understanding of AI and ML concepts, technologies and the competitive landscape for AI/ML solutions in the market
• Familiarity with working in a startup environment

About Lambda

• We offer generous cash & equity compensation
• Investors include Gradient Ventures, Google’s AI-focused venture fund
• We are experiencing extremely high demand for our systems, with quarter-over-quarter, year-over-year profitability
• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
• We have a wildly talented team of 200, and growing fast
• Health, dental, and vision coverage for you and your dependents
• Commuter/Work from home stipends
• 401k Plan with a 2% company match
• Flexible Paid Time Off Plan that we all actually use

Salary Range Information 

Based on market data and other factors, the salary range for this position is $160k OTE with a 50/50 base/commission + equity. 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. 

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

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.