---
title: 'Revenue Operations at Modal'
canonical: 'https://feeny.ai/job/revenue-operations-modal-san-francisco-tpwq37mk240a'
type: 'job'
last_seen: '2026-09-08'
---

# Revenue Operations at Modal

- **Company:** Modal
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-30
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/modal/a5d0e0e2-8d15-491d-9169-64be23f62034

## Job description

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 the Role

We're seeking a Revenue Operations Manager with a strong track record, a builder's mindset, and a bias for action to join our in-person team in New York or SF.

This is a high-impact, hands-on role. You'll own the entire revenue operations function, from top-of-funnel lead routing through deal close and commission administration. You'll work closely with our Head of Finance & People Ops and sales leadership to build the systems, dashboards, and processes that scale our go-to-market motion.

What You'll Do:

- Own the lead routing process from inbound and partnering with marketing to ensure proper attribution
- Run effective territory management & strategy for Geo based decisioning
- Support & strategise every aspect of revenue operations in your territory
- Own the strategy for capacity forecasting, inputs, throughputs & outputs being the conduit back to finance in the US for effect capacity forecasting
- Input and strategy for comp based decisioning and benchmarking
- Support leadership in overall regional operations & finance strategy across all functions, sales, pre, ecosystem etc
- Evaluate new tools in market and be responsible for improving the efficiency and effectiveness of the sales team
- Build and maintain dashboards, leaderboards, and pipeline reporting to give leadership real-time visibility.
- Monitor deal progression and hold reps accountable for CRM hygiene and accuracy.
- Support deal reviews at the pricing and negotiation stages, coordinating with outside counsel as needed.
- Own the closed-won process from signature through handoff to post-sale.
- Administer commission plans across the sales org, ensuring accurate and timely calculations and serving as the source of truth for comp-related questions.

What You Bring:

- A builder's mentality; you identify gaps, propose solutions, and execute without being asked twice.
- The ability to zoom out and think strategically while staying close enough to the work to get your hands on the keyboard.
- An AI-forward mindset: you actively use AI in your work and are excited to pioneer its use in go-to-market operations.
- Strong communication and collaboration skills; you earn trust across Sales, Marketing, and Finance.
- A player-coach orientation; you're not above the details and you're excited to own the work yourself

Requirements:

- 3–7 years in Sales Operations or Revenue Operations at a high-growth usage based sales organization
- You've built core GTM infrastructure before: lead routing, CRM architecture, pipeline reporting, commission administration, deal desk.
- Deep proficiency in workflows, lifecycle stages, custom properties, data hygiene.
- You've owned commissions end-to-end: building the model, calculating payouts, fielding rep disputes, and keeping it reconciled with Finance.
- You've run a deals desk, you know what makes a contract clean and you catch errors before they become problems.
- Strong in Excel or Google Sheets; you can build a pipeline coverage model and know which metrics actually matter.
- You've earned trust with a sales team by making their lives easier while holding them accountable to process.

## 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 Design Staff - Brand](https://feeny.ai/job/member-of-design-staff-brand-modal-new-york-ccfxde25jatb) — New York, NY
- [Detection and Response Engineer](https://feeny.ai/job/detection-and-response-engineer-modal-new-york-93gcmptvvjtd) — New York, NY
- [Regional Director](https://feeny.ai/job/regional-director-modal-new-york-ywxxargrqp0g) — New York, NY
- [ML Research Intern](https://feeny.ai/job/ml-research-intern-modal-new-york-67tppdwsng1t) — New York, NY
- [Member of Technical Staff - Research, Post-Training](https://feeny.ai/job/member-of-technical-staff-research-post-training-modal-new-york-zgntyn07gfp2) — New York, NY
- [Member of Technical Staff - Research, Inference](https://feeny.ai/job/member-of-technical-staff-research-inference-modal-new-york-1a5bpnmmvvnx) — New York, NY
- [People Operations Generalist](https://feeny.ai/job/people-operations-generalist-modal-new-york-bf7tqrws58xr) — New York, NY
- [Systems Engineering Manager](https://feeny.ai/job/systems-engineering-manager-modal-stockholm-c0pw8s1byfbj) — Stockholm, Sweden
- [Member of Technical Staff - Product (Growth)](https://feeny.ai/job/member-of-technical-staff-product-growth-modal-new-york-f2gm2kexkwpg) — New York, NY
- [Infrastructure Security Engineer](https://feeny.ai/job/infrastructure-security-engineer-modal-new-york-fjvfe2e55ns4) — New York, NY