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.