---
title: 'Talent Programs Manager at Modal'
canonical: 'https://feeny.ai/job/talent-programs-manager-modal-new-york-ykjzgh8pvks4'
type: 'job'
last_seen: '2026-10-13'
---

# Talent Programs Manager at Modal

- **Company:** Modal
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-15
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.ashbyhq.com/modal/7c3aaece-ef84-4e28-95c0-bd1be33d567b

## Job description

About Us: 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](https://modal.com/blog/lovable-case-study), [Ramp](https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal), 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](https://modal.com/blog/modal-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](https://github.com/mwaskom/seaborn),[Luigi](https://github.com/spotify/luigi)), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

## About Talent at Modal

Modal is growing fast, and the programs that bring people in and set them up to succeed are still being built. You'll join the Talent team as one of its first hires focused purely on programs; working closely with recruiting and leadership to build the events, internship, and campus presence that shape how the best people discover and experience Modal for the first time.

## The Role

As Talent Programs Manager, you will own Modal's talent events, our intern program, and our presence at career fairs, end-to-end. This is a build-from-the-ground-up role for someone who wants full ownership rather than an existing playbook to execute. You'll work directly with recruiters, hiring managers, and marketing to make sure every program ladders up to real hiring outcomes, and you'll be the person who makes candidates' and interns' first experience of Modal a great one.

What You'll Do:

- Own Modal's talent events strategy; meetups, recruiting mixers, tech talks, and community events, from concept through post-event follow-up
- Design and run the intern program end to end: recruiting timeline, project scoping with hiring managers, mentorship matching, and conversion
- Represent Modal at career fairs and campus events, and recruit and prep employee brand ambassadors to join you
- Build and maintain relationships with university programs, bootcamps, and community organizations that feed our pipeline
- Manage program budgets and vendor relationships; venues, swag, catering, event platforms
- Track and report on program metrics: event pipeline conversion, intern conversion rate, cost per hire from programs
- Move quickly without sacrificing the candidate or intern experience

Requirements:

- 3+ years running recruiting/talent programs, events, or university relations, with a track record of owning a program end-to-end including budget and vendors
- High influence, low ego: you build relationships easily across recruiting, hiring managers, and marketing, and share credit freely
- Strong project management skills; comfortable juggling multiple concurrent events and timelines without dropping details
- Excellent written and verbal communication; comfortable representing Modal externally
- Someone who takes ownership seriously: you drive programs to completion and build structures that let them scale
- Based in or willing to relocate to NYC, in-office

## About Modal

## Company Overview
- **One-liner**: Modal provides high-performance AI infrastructure—a serverless, globally distributed GPU cloud for inference, training, sandboxes, and agent workloads.
- **Entity Type**: Private (raised over $466M, Series D from top-tier investors)
- **Headquarters**: New York, NY, USA (with offices in Stockholm, Sweden and San Francisco, CA, USA)
- **Founded**: Not publicly available in provided sources
- **Founders**: Erik Bernhardsson and Akshat Bubna

## Core Business
- Primary industry: Cloud infrastructure / AI compute / Developer tools
- Target customers: Developers and engineering teams building AI/ML products (B2B, from startups to enterprises)
- Mission or purpose: “Make it easier to iterate and ship applications for data, AI, and machine learning” and “Make cloud development work like magic.”

## Products & Services
- **[Modal Runtime](https://modal.com/)** – Serverless container platform with custom file system, scheduler, and container image builder. Sub-second cold starts and instant autoscaling from 0 to 1000+ GPUs.
- **[Modal Sandboxes](https://modal.com/)** – Isolated, ephemeral environments for running untrusted code (e.g., coding agents, RL rollouts). Programmatically spin up fresh environments with custom images.
- **[Modal Inference](https://modal.com/)** – Globally distributed inference with sub-10ms overhead latency, support for token streaming, WebRTC, WebSocket. Supports LLMs, audio, image/video generation.
- **[Modal Training](https://modal.com/)** – Fine-tuning and multi-node training on H100s, A100s, B200s with gang scheduling and InfiniBand networking. Single line of code to scale from single-GPU to multi-node clusters.
- **[Modal Batch / Async Inference](https://modal.com/)** – Run evaluations, embeddings, re-ranking, dataset generation at scale, thousands of GPUs fully parallel.
- **[Modal SDK](https://modal.com/)** – Python SDK that lets developers define infrastructure and workloads in code, then ship to the cloud.

## Market Standing
- **Valuation**: $4.65B (as of 2026, per [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-modal-2026))
- **Key Metric**: Total funding raised – over $466M (per [modal.com/company](https://modal.com/company))
- **Notable Investors/Partners**: General Catalyst, Redpoint Ventures, Lux Capital, Amplify Partners, Creandum (per [modal.com/company](https://modal.com/company))
- **Growth Signals**: ~150 employees (2026); global offices in New York, Stockholm, San Francisco; rapid hiring across engineering, GTM, and G&A roles; strong traction in inference, training, and agent infrastructure.

## Competitive Advantages
- **Deep infrastructure stack**: Custom file system, container runtime, scheduler, and image builder built from scratch to optimize AI workloads.
- **Developer experience**: “Stay in Python, ship to the cloud” – composable primitives that specify everything from logic to hardware in one code file.
- **Instant elasticity**: Scale from zero to 1000+ GPUs in seconds, pay only for compute used (no reserved capacity).
- **Global GPU access with low latency**: Sub-10ms overhead for online inference via globally distributed compute.
- **Compliance and security**: SOC 2 and HIPAA compliant, data residency controls, battle-tested isolation for untrusted code.

## Strategic Focus
- **AI-native runtime**: Deepening support for inference, fine-tuning, reinforcement learning, and agent workflows.
- **Scaling for agents**: Developing sandboxes and execution layers purpose‑built for interactive coding agents and long‑running RL rollouts.
- **Expanding global capacity**: Adding GPU availability across more regions, leveraging elastic cloud capacity.
- **Enterprise readiness**: Investing in security, governance, team controls, and data residency to serve larger customers.

## Why Work Here
- **Culture and team**: Founded by engineers who created open‑source tools (Seaborn, Luigi); team includes academic researchers, olympiad medalists, and experienced engineering leaders. Flat, high‑trust environment.
- **Location / flexibility**: Offices in New York, Stockholm, and San Francisco; likely hybrid/remote‑friendly (many roles list multiple locations).
- **Compensation and growth**: Transparent salary culture (as highlighted in 2026 profile); strong growth trajectory backed by $466M in funding and a $4.65B valuation.
- **Perks**: $30/month free compute for personal projects (customer benefit, likely similar for employees); focus on developer experience and “magic.”

## Sources
1. [modal.com](https://modal.com/)
2. [modal.com/company](https://modal.com/company)
3. [jobs.ashbyhq.com/modal](https://jobs.ashbyhq.com/modal)
4. [linkedin.com/company/modal-labs](https://www.linkedin.com/company/modal-labs)
5. [jobsbyculture.com/blog/working-at-modal-2026](https://jobsbyculture.com/blog/working-at-modal-2026)

## Other roles at Modal

- [Member of Technical Staff - SDK (Stockholm)](https://feeny.ai/job/member-of-technical-staff-sdk-stockholm-modal-stockholm-ks7rt2xw6atf) — Stockholm, Sweden
- [Talent Partner, Technical](https://feeny.ai/job/talent-partner-technical-modal-new-york-pyx4hkbcrzcb) — New York, NY
- [Talent Partner, GTM](https://feeny.ai/job/talent-partner-gtm-modal-san-francisco-1nm18692f4w7) — San Francisco, CA
- [Member of Technical Staff - Inference Runtime](https://feeny.ai/job/member-of-technical-staff-inference-runtime-modal-san-francisco-cvzk20vkphfy) — San Francisco, CA
- [Legal Operations Lead](https://feeny.ai/job/legal-operations-lead-modal-new-york-s5y3gn1e961k) — New York, NY
- [Senior Commercial Counsel](https://feeny.ai/job/senior-commercial-counsel-modal-new-york-grh0fxqa82by) — New York, NY
- [Field Marketing Manager](https://feeny.ai/job/field-marketing-manager-modal-san-francisco-0apep5s9tyq6) — San Francisco, CA
- [Global Workplace Lead](https://feeny.ai/job/global-workplace-lead-modal-new-york-4vjzkq1xtb4h) — New York, NY
- [Analytics Engineer](https://feeny.ai/job/analytics-engineer-modal-new-york-6t3v0rpsnf2z) — New York, NY
- [Member of Technical Staff - Lead, Storage](https://feeny.ai/job/member-of-technical-staff-lead-storage-modal-san-francisco-3wd2wad5dheq) — San Francisco, CA