Solutions Architect
Drive technical strategy for enterprise accounts, partnering with sales to close large deals. Architect migrations to serverless AI infrastructure, lead POCs, and influence product roadmap. Requires 5+ years in solutions engineering and deep cloud/ML expertise.
About the job
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%
Skills
AWS, GCP, Azure, Docker, Kubernetes, Terraform, Pulumi, CloudFormation, Python, MLOps
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