Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure.
We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.
Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g., Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
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.
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
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%
Deploy generative AI models, large-scale batch jobs, job queues, and more on Modal's platform. We help data science and machine learning teams accelerate development, reduce costs, and effortlessly scale workloads across thousands of CPUs and GPUs.
Our pay-per-use model ensures you're billed only for actual compute time, down to the CPU cycle. No more wasted resources or idle costs—just efficient, scalable computing power when you need it.
