Senior Cloud Account Executive

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

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.

As a Cloud Account Executive at Lambda, you will be responsible for driving revenue and market share by selling Lambda’s GPU Cloud services to a diverse range of customers. This role requires a deep understanding of AI/ML technologies and articulating Lambda’s value to technical and business stakeholders. You will work closely with various teams within Lambda to develop and execute comprehensive sales strategies that meet or exceed revenue targets.

Lambda is a leading GPU Cloud platform challenging traditional hyperscaler clouds.

We have amassed hundreds of thousands of users, including large enterprise customers such as Microsoft, Rakuten & Intuitive Surgical. Lambda’s GPU Cloud is also immensely popular with AI startups serving companies like Anyscale, Writer.com, Pika & Covariant.

Our team is made of builders from SpaceX, Tesla, Meta, Amazon, Google and more. If you want to join a team at the forefront of AI Cloud Solutions that drive flexibility, speed, and performance while helping companies access GPU infrastructure to solve challenging problems, Lambda’s the place to be!

What You’ll Do:

• Become an expert in understanding Machine Learning training, fine-tuning & inference use cases for Lambda's GPU Cloud

• Sell to extremely technical audiences comprising C-Level & VPs of Machine Learning

• Balance a strong inbound funnel while also consistently out-bounding to C-Level, VP, Directors & Managers of Machine Learning

• Develop connections with startups (e.g., OpenAI, Adept, Character.ai) and enterprise customers (e.g., Walmart, Microsoft, Meta).

• Run a professional sales process comprising of detailed note-taking, Account Plans, picture-perfect Salesforce hygiene & forecasting

• Be willing to get on a plane to meet and present to senior engineering and business leadership teams

You

• Are extremely passionate about AI/ML and its benefits for humanity across drug discovery, robotics & more

• Can sell to a technical audience and open doors with engineering leaders

• Have sold Cloud services, GPU solutions or IaaS

• Possess self-awareness, pragmatism & detail-oriented are key pillars of your work ethic and personality

• Exhibit strong interpersonal skills, effectively working with internal teams (engineering, sales, marketing) and external partners and customers

• Have 3-5+ years of direct sales experience within startup and enterprise accounts

• Have 5-8+ years of technical sales experience with a track record of top performance

Salary Range Information 

Based on market data and other factors, the compensation for this position is $300,000 OTE. All of our roles have a 50/50 base/commission structure. 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. Leveling will be determined through the interview process.

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 be