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About This RoleAI processing…
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 n
Key Responsibilities
- 1Own the technical strategy for large, complex enterprise accounts
- 2Partner with Enterprise Account Executives to drive 6–7+ figure opportunities from qualification through close
- 3Lead deep technical discovery across platform, ML, DevOps, and infrastructure stakeholders
- 4Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal’s serverless infrastructure
- 5Drive executive-level technical conversations that connect infrastructure architecture to business impact (velocity, cost efficiency, reliability)
- 6Design and oversee proof-of-concepts that demonstrate production-grade scalability and performance
- 7Navigate security reviews, compliance discussions, and procurement processes with confidence
- 8Build durable relationships with technical champions and executive sponsors
- 9Orchestrate cross-functional virtual account teams (Sales, Product, Engineering, Support) to ensure successful adoption
- 10Influence Modal’s product roadmap by surfacing structured enterprise feedback
- 11Mentor 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%
Perks & BenefitsTypical for this role
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