Senior Cloud Account Executive, Lambda

$300k

OTE

50/50 base/commission structure. Offers equity

Salesforce

Senior and Expert level

San Francisco Bay Area

More information about location

4 days a week in office

Deep learning infrastructure company

Job no longer available

Deep learning infrastructure company

501-1000 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Job no longer available

$300k

OTE

50/50 base/commission structure. Offers equity

Salesforce

Senior and Expert level

San Francisco Bay Area

More information about location

4 days a week in office

501-1000 employees

B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing

Company mission

To make compute as ubiquitous as electricity and give everyone in America the power of superintelligence.

Job

Company

Role

Who you are

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 6-10+ years of direct sales experience within startup and enterprise accounts
Have 8-20+ years of technical sales experience with a track record of top performance

What the job involves

As a Senior 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
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

Our take

Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.

Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.

After a successful 2025, the company is now looking at an initial public offering in the second half of 2026. This comes after the company signed a multi-billion-dollar contract with Microsoft to provide the hyperscaler with access to its GPUs, and it's also believed to have signed a $1.5B lease-back deal with Nvidia. This, coupled with significant funding put Lambda in a very good position for future growth.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

26% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 6 rounds)

Nov 2025

$1.5bn

SERIES E

Feb 2025

$480m

SERIES D

Total funding: $2.4bn

Company benefits

Health, dental vision
401k match
5 sick days and 12 paid holidays
Flexible PTO
Paid parental, medical, and caregiver leave

Company HQ

Financial District, San Francisco, CA

Leadership

Michael Balaban

(Co-Founder & CTO)

Graduating with a BS in Discrete Mathematics and Computer Science, Michael is experienced in software engineering and previously worked for Nextdoor as part of its infrastructure team.

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