AI needs a new infrastructure layer. We're building it at Modal.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
Our team includes creators of popular open-source projects (e.g.,Seaborn,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
The Role:We’re hiring an Enterprise Account Executive to accelerate Modal’s growth with the world’s most innovative AI companies. This is a high-impact role where you’ll own the full sales cycle—from building pipeline to closing large, strategic enterprise deals. You’ll partner directly with our founders, engineering, and product teams to help customers harness Modal’s infrastructure to train, deploy, and scale AI applications.
You’ll be expected to operate as a builder: developing new relationships, shaping our GTM motion, and serving as the voice of the customer inside Modal. The ideal candidate is both technically curious and commercially driven—equally comfortable in a room with C-level executives and with machine learning engineers. In this role, you will:
Drive new business by generating pipeline, negotiating, and closing complex enterprise deals
Build deep, trusted relationships with technical and executive stakeholders at leading AI companies
Run proof-of-concepts and pilots in close collaboration with our solutions and engineering teams
Expand existing accounts by identifying growth opportunities and helping customers scale their workloads
Bring structured customer feedback to influence Modal’s product roadmap and GTM strategy
Contribute to the foundation of Modal’s sales process, culture, and playbooks as we scale the team
7–10+ years of enterprise software sales experience, ideally in infrastructure, ML/AI, or developer-focused platforms
Track record of consistently exceeding $1M+ annual quotas and closing six- and seven-figure enterprise deals
Strong technical acumen—able to communicate infrastructure and AI concepts with both engineers and executives
Experience leading proof-of-concepts and managing complex procurement processes
Excellent communication, negotiation, and relationship-building skills
Comfortable in an early-stage, fast-moving environment; excited to help shape systems and processes from the ground up
Ability to work in-person from our office 5 days a week
Skills Required
- 7-10+ years of enterprise software sales experience, ideally in infrastructure, ML/AI, or developer-focused platforms
- Track record of consistently exceeding $1M+ annual quotas and closing six- and seven-figure enterprise deals
- Strong technical acumen
- Experience leading proof-of-concepts and managing complex procurement processes
- Excellent communication, negotiation, and relationship-building skills
- Comfortable in an early-stage, fast-moving environment
- Ability to work in-person from our office 5 days a week
What We Do
Deploy generative AI models, large-scale batch jobs, job queues, and more on Modal's platform. We help data science and machine learning teams accelerate development, reduce costs, and effortlessly scale workloads across thousands of CPUs and GPUs. Our pay-per-use model ensures you're billed only for actual compute time, down to the CPU cycle. No more wasted resources or idle costs—just efficient, scalable computing power when you need it.
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