Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Account Executive - AI Native, EMEA role.
Rezi rewrites your resume against Modal's job description. Free.
Tailor your resume to this Account Executive - AI Native, EMEA role.
Rezi rewrites your resume against Modal's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Account Executive - AI Native, EMEA posting at Modal — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Account Executive - AI Native, EMEA posting at Modal — free, in seconds.
About the Role
We’re hiring an Account Executive to win and grow Modal’s relationships with AI-native companies. These teams move fast, so our sales cycle does too. Deals often move forward from the very first call, and you’ll usually be talking directly with the founder or technical leader who owns the budget. You’ll own the full cycle, from sourcing to close to expansion, and you’ll partner closely with our founders, engineering, and product teams. You’ll also help build Modal’s presence in the developer community, because in this market, the best pipeline comes from engineers who already love the product. The ideal candidate has an engineering background, has worked as a solutions architect or in a similar technical role, and has since moved into selling. You’re as comfortable debugging a cold-start issue with an ML engineer as you are negotiating terms with a CEO.
Responsibilities
- Own a book of AI-native accounts and close new business quickly, often moving from first call to signed deal in weeks rather than quarters.
- Sell directly to founders, CTOs, and heads of ML who define the ideal customer and hold the budget from day one.
- Get hands-on in technical conversations: scope workloads, set up quick proofs of concept, and show customers how Modal fits into their stack.
- Spot expansion early and help fast-growing customers scale their inference, training, and sandbox workloads as their usage takes off.
- Help build and engage Modal’s developer community through events, meetups, open-source channels, and word of mouth.
- Bring sharp, structured customer feedback to our product and engineering teams to shape the roadmap.
- Help define how Modal sells to AI-native companies, including the playbooks, pricing motions, and processes we’ll scale as the team grows.
Requirements
- An engineering background, followed by time as a solutions architect, sales engineer, or similar customer-facing technical role, and now experience as a closing seller.
- Current or recent experience at an AI-native company, ideally selling infrastructure, ML/AI, or developer tools.
- A track record of selling directly to founders and technical leaders and closing deals quickly in a high-velocity sales cycle.
- Experience building or engaging a developer community, or a clear point of view on how community drives pipeline.
- Enough technical depth to go deep on GPUs, inference, containers, and model training with engineers, without needing a sales engineer in the room.
- Excellent communication, negotiation, and relationship-building skills.
- Comfort in a fast-moving, early-stage environment and excitement about building processes from the ground up.
- Ability to work in person from our office 5 days a week.
Skills
- Selling infrastructure
- Selling ML/AI
- Selling developer tools
- Developer community engagement
- Technical depth on GPUs
- Technical depth on inference
- Technical depth on containers
- Technical depth on model training
- Communication skills
- Negotiation skills
- Relationship-building skills
Location
- Office 5 days a week
Work Type
- Full-time
Experience Level
- Senior
Education Level
- Engineering background
About the Company
- AI needs a new infrastructure layer. We're building it at Modal.
- Our customers include category-defining companies like 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've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
- 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.