Account Executive - Hardware

Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.

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

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

• Own full sales cycle processes with a high volume of demand

• Target AI Startups, Mid-Market and Small Businesses (SMBs), Universities, and independent ML researchers across multiple industries

• 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 in order to accomplish organic growth and long-term company objectives

You

• Have a background or strong interest in selling GPU hardware, cloud computing, AI Services, 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

Nice to Have 

• Experience in the machine learning or computer hardware industry

• 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

Salary Range Information

Based on market data and other factors, the annual salary range for this position is $160,000- $250,000 OTE with a 50/50 base/commission split. 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, ~350 employees (2024) and growing fast

• We offer generous cash & equity compensation

• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.

• 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

• 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

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.