Modal FDE

Solutions Architect

  • Location San Francisco
  • Compensation 200,000 – 280,000 USD / year
  • Type FullTime
  • Team GTM
  • Posted 2026-02-20

Original posting ↗ You apply on the company site — we never collect applications.

Extracted automatically from public job postings. Always verify details on the original posting before applying.

Hard requirements to check first

  • Clearance:not mentioned in the posting
  • Work auth:not mentioned in the posting

Skills

KubernetesDockerAWSAzureGCPFineTuning

Excerpt from the original posting

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 , 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 , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

The Role:
Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts.
You will operate as the executive technical counterpart to Enterprise Account Executives, leading complex evaluations, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads.
This role is not demo support. It is a strategic, consultative position requiring strong architectural depth, executive presence, and the ability to influence 7–8 figure infrastructure decisions. You will work directly with CTOs, VPs of Engineering, and ML platform leaders to help them rethink how AI infrastructure should be built and operated.
If you thrive in high-velocity technical sales environments and want to shape the infrastructure layer powering modern AI companies, this role is for you.

What You’ll Do:
- Own the technical strategy for large, complex enterprise accounts

- Partner with Enterprise Account Executives to drive 6–7+ figure opportunities from qualification through close

- Lead deep technical discovery across platform, ML, DevOps, and infrastructure stakeholders

- Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal’s serverless infrastructure

- Drive executive-level technical conversations that connect infrastructure architecture to business impact (velocity, cost…

→ Modal · Ashby

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