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
- Deep knowledge of technical recruiting and experience recruiting for highly technical roles
- Curiosity and ability to understand complex technical work by asking effective questions
- Ability to influence through insight and honesty
- Ability to move quickly and communicate clearly in ambiguous or changing situations
- Strong candidate-closing skills and ability to build trust and address concerns
- Ability to adapt to shifting 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.
