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 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.
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:Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people – and that’s where you come in.
As the first dedicated technical recruiter on our Talent team, you’ll own engineering and AI/ML searches end-to-end. You’ll work closely with our Head of Talent, founders, and technical leads to shape how we hire and help bring in the people who will define what Modal becomes.
What you’ll do:
Run full-cycle recruiting for engineering and AI/ML roles (sourcing, pitching, guiding interviews, and closing candidates)
Partner with technical leaders to understand the real work and calibrate on what great looks like
Help set our technical hiring bar and how we evaluate talent
Execute creative top-of-funnel strategies that resonate with a strong community of talented, experienced engineers
Deliver a fast, respectful, honest candidate experience
Bring an equity lens to every stage of the process
Use data and market context to keep searches on track and expectations aligned
Support candidates as a trusted guide through high-stakes decisions
You know technical recruiting inside and out and enjoy the challenge of deeply technical roles
You’re curious – you ask the right questions and love understanding how things actually work
You influence with insight and honesty, not by simply having the loudest voice in the room
You move quickly and communicate clearly, even when things get messy
You’re a strong closer who builds trust early and stays ahead of concerns
You’re steady when priorities shift and can recalibrate without losing momentum
You care about people and want them to have a thoughtful, fair, and human experience throughout the process
Skills Required
- Technical recruiting experience and familiarity with deeply technical engineering and AI/ML roles
- Ability to understand technical work and collaborate with technical leaders
- Strong communication and ability to move quickly in changing environments
- Ability to influence through insight and honesty
- Strong candidate-closing skills and ability to build trust
- Ability to recalibrate priorities while maintaining momentum
- Commitment to providing thoughtful, fair, and human candidate experiences
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.
