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Modal logo

Talent Coordinator

Posted about 2 months ago

OfficeSan Francisco80k - 120k USD

About Us:

Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.

We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. Our investors include Lux Capital, Redpoint Ventures, Amplify Partners, and Elad Gil.

Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. 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 infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people - and a hiring experience that reflects the care and rigor we bring to everything else.

As our first Talent Coordinator, you’ll be a foundational partner on the Talent team. You’ll help shape how hiring actually works day-to-day: owning interview coordination, candidate communication, and the operational backbone that allows recruiters and hiring managers to do their best work.

This role carries real trust and visibility. You’ll work closely with the Head of Talent, recruiters, interviewers, and candidates, and you’ll have meaningful input into how our hiring process evolves as we scale.

What you’ll do:

  • Champion a thoughtful, respectful, and high-quality candidate experience at every stage of the interview process

  • Coordinate and schedule phone, video, and in-person interviews across multiple roles and time zones, often with complex calendars

  • Serve as a primary point of contact and host for candidates, ensuring they feel informed, supported, and well-prepared

  • Maintain accuracy and integrity in our ATS (Ashby), including job setup, interview plans, and candidate tracking from first touch through offer

  • Develop deep fluency in Ashby and act as a trusted resource for recruiters and hiring partners

  • Ensure interviewers are well-prepared with the proper context, materials, and logistics to run effective interviews

  • Spot friction or inefficiencies in the hiring process and proactively suggest improvements

  • Partner with the talent team on recruiting initiatives such as referrals, interview training, and process iteration

  • Bring an equity and fairness lens to hiring operations, supporting consistent, well-calibrated interview experiences

Requirements:

  • You bring strong operational discipline and notice the details others miss

  • You’re resourceful by default - when something’s unclear, you figure it out

  • You’re comfortable taking initiative and making progress even when the path isn’t perfectly defined

  • You’re thoughtful about candidate experience and notice the small things that make interviews feel human

  • You value timely, thoughtful follow-up and understand how much clarity and responsiveness matter to candidates

  • You communicate with clarity and intention, even when things move quickly.

  • You show up as a reliable teammate who helps others succeed

  • You’re curious, reflective, and always looking for ways to improve how things run

Job details
Workplace
Office
Location
San Francisco
Salary
80k - 120k USD
per year

Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams.

Employees
153
Industry
Software Development
Headquarters
New York City, New York
Company location
New York City, New York 10038, US
Specialties
Serverless GPUs, LLM Inference, LLM Fine-Tuning, Generative Model Inference, Generative Model Training, Computational Biology, Audio Generation, Image Generation, Video Generation, Web Scraping, Batch Jobs, Batch Embeddings, and Scaling Out

Key team members

Joshua G

Joshua G

Martin Sandberg

Martin Sandberg

Pär Johansson

Pär Johansson

Daniel Norberg

Daniel Norberg

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