Solutions Architect
San Francisco • FullTime
Posted 6mo ago
About the job
Modal is seeking a high-impact Solutions Architect to lead technical strategy for its most strategic enterprise accounts. In this role, you will act as the executive technical counterpart to Enterprise Account Executives, guiding complex evaluations, shaping infrastructure modernization roadmaps, and promoting multi-product adoption for AI/ML workloads. This is a strategic, consultative position that requires deep architectural knowledge, executive presence, and the ability to influence significant infrastructure decisions. You will collaborate directly with CTOs, VPs of Engineering, and ML platform leaders to reimagine how AI infrastructure is built and operated. If you excel in fast-paced technical sales environments and are passionate about shaping the infrastructure powering modern AI companies, this role is for you.
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 connecting infrastructure architecture to business impact.
- Design and oversee proof-of-concepts demonstrating production-grade scalability and performance.
- Navigate security reviews, compliance discussions, and procurement processes.
- Build durable relationships with technical champions and executive sponsors.
- Orchestrate cross-functional virtual account teams to ensure successful adoption.
- Influence Modal’s product roadmap by surfacing structured enterprise feedback.
- Mentor other Solutions Architects and contribute to technical best practices.
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%.