---
title: 'Account Manager at Modal'
canonical: 'https://feeny.ai/job/account-manager-modal-san-francisco-gyrrjxdn2k5y'
type: 'job'
last_seen: '2026-10-13'
---

# Account Manager at Modal

- **Company:** Modal
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.ashbyhq.com/modal/d33a46c8-44d8-4bf4-bdca-dd11c0a48588

## 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

## About the Role

We're hiring the first Account Managers at Modal. You'll report to the Regional Director of Account Management and be a founding member of the team. This function does not exist yet. There is no playbook, no territory map, no established motion. You'll own a book of business from day one and build the motion at the same time — from fast-moving AI startups to large enterprise teams running critical infrastructure on Modal. This is a commercial role with a revenue target. You'll be measured on retention and expansion across your accounts. While you won't be delivering the technical recommendations and implementation, the work is technical by nature. Our customers are engineers running GPU workloads, inference, and batch jobs in production, and you need to hold your own in those conversations. The profile we're hiring is a technical account manager. You've worked at companies that are deeply technical and consumption in nature. You bring the commercial instincts to grow revenue from an existing base and enough technical depth to know which conversation actually matters. And you can credibly work with a CxO all the way down to a Developer.

What the Role Is

- A founding seat. You're helping build the AM function with us, not joining one that already runs. The account plans, expansion motions, and customer cadence you and the rest of the founding team figure out are what we scale to every AM we hire after you.
- A technical customer-facing role. You'll work directly with Developers and ML teams on what they're building and how Modal fits. You translate and triage the deeper technical work to FDEs and Product when it's needed.
- A book of business. You’ll own a set of accounts and be responsible for the revenue that comes from them. Expect to be meeting with customers in your first few days because the best playbooks are built from real experiences.

What the Role Is Not

- A traditional post-sales role. You're measured on revenue, not health scores.
- An on-call support function. You're not fixing bugs or triaging tickets. You're driving growth.
- A technical delivery role. You're not implementing for the customer. You know where the technical work goes and you pull in the right people.
- An inherited motion. Nothing is handed to you. If you identify gaps in process, tooling, or a playbook — you help build it.
- A single-lane job. Our priorities go customer → company → team → me. We focus on delivering maximum impact vs. "this is my job".

## What You'll Achieve

- Build Modal's account management function and iterate on it as we scale the business
- Own and deliver on a revenue target across your book of accounts
- Grow an account's first use case, expand into a second, and drive standardization across the Modal platform
- Get fluent enough in Modal to hold your own with engineering teams on their workloads, and know when to pull in FDEs, Support, or Product
- Work with Sales, Solutions Architects, FDEs, Support, and Product to grow accounts and feed customer signal back into the roadmap
- Travel to customers as needed to support key accounts and drive expansion opportunities

## What You'll Need to Bring

- Customer-facing experience. You've owned a revenue target or supported a revenue target in a highly technical, consumption business.
- Technical depth. You work autonomously with Developers through CxOs and understand the core parts of the developer tech stack.
- AI builder. You're hands on building with AI tools — not just consuming workflows that were built for you.
- Ownership. You run your book of business and projects like you're the CEO of it. You're highly organized bringing stability, predictability, and pace to your work. You take action vs. waiting for direction.
- Learning velocity. You operate with the mindset of what I can do today vs. let me pick this up tomorrow. You move fast, take the learnings, and iterate on it.
- Cross-functional partner. Low ego, easy to work with, and highly accountable. You ask for feedback, you act on it, and you'd rather be corrected early than right late. Internal teams love working with you.

Nice to Haves

- Experience as a Technical Account Manager, Solutions Engineer, Solutions Consultant, or similar type role
- Certification as an engineer (ex. Computer Science Degree, Professional Bootcamps)
- Early GTM hire experience at a fast-growing startup
- You've sat close to GPU spend, model training, or inference workloads

## 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
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