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Solutions Architect

Modal· GTM
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San Francisco, Stockholm, New York, London$200k - $280kFull-timePosted 8mo ago

About the role

Solutions Architect to drive technical strategy across large enterprise accounts, acting as executive technical counterpart to Enterprise Account Executives, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads.

Responsibilities

  • 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

Qualifications

  • 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%

Skills

Required:Technical strategy for enterprise accountsExecutive-level stakeholder managementCloud infrastructure (AWS, GCP, Azure)Containers and orchestration (Docker, Kubernetes)ML/AI infrastructure
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Modal

High-performance AI infrastructure

Bring your own code, and run CPU, GPU, and data-intensive compute at scale. The serverless platform for AI and data teams.

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