Solutions Architect

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 efficiency, reliability)

Design and oversee proof-of-concepts that demonstrate production-grade scalability and performance

Navigate security reviews, compliance discussions, and procurement processes with confidence

Build durable relationships with technical champions and executive sponsors

Orchestrate cross-functional virtual account teams (Sales, Product, Engineering, Support) to ensure successful adoption

Influence Modal’s product roadmap by surfacing structured enterprise feedback

Mentor other Solutions Architects and contribute to technical best practices across the team

Requirements:

5+ years in Solutions Engineering, Sales Engineering, or enterprise-facing technical roles in infrastructure, cloud, or developer platforms

Demonstrated success driving complex enterprise sales cycles ($250K+ ACV; experience with $1M+ ARR accounts strongly preferred)

Experience working with large, sophisticated Bay Area technology companies or global enterprises

Deep expertise in cloud infrastructure (AWS, GCP, Azure) including compute, networking, storage, and managed services

Strong architectural understanding of containers and orchestration (Docker, Kubernetes)

Experience designing distributed systems and production data platforms

Strong working knowledge of ML/AI infrastructure (training pipelines, inference systems, GPU workloads, MLOps)

Experience leading cloud migration or infrastructure modernization initiatives

Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD systems

Production programming experience in Python strongly preferred

Executive-level communication skills with the ability to influence technical and business stakeholders

Proven ability to lead cross-functional virtual teams in high-stakes account environments

Strong business acumen and understanding of enterprise procurement and buying processes

Willingness to travel up to 30%