6 months ago
Stockholm, Sweden +2 moreSenior / Staff+
H1B Sponsor
Base Salary
$200k - $280k/yr
Responsibilities
- Own the technical strategy for large, complex enterprise accounts.
- Partner with Enterprise Account Executives to drive 6–7+ figure opportunities.
- 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.
- Demonstrated success driving complex enterprise sales cycles ($250K+ ACV).
- Experience with large Bay Area technology companies or global enterprises.
- Deep expertise in cloud infrastructure (AWS, GCP, Azure).
- Strong architectural understanding of containers and orchestration (Docker, Kubernetes).
- Experience designing distributed systems and production data platforms.
- Strong working knowledge of ML/AI infrastructure.
- Experience leading cloud migration or infrastructure modernization initiatives.
- Familiarity with Infrastructure as Code and CI/CD systems.
- Production programming experience in Python strongly preferred.
- Executive-level communication skills to influence stakeholders.
- Proven ability to lead cross-functional virtual teams.
- Strong business acumen and understanding of enterprise procurement processes.
- Willingness to travel up to 30%.
About Modal
Customers rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. Every era of computing came with new workloads that previous infrastructure couldn't serve: mainframes, databases, 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. The window to build is open right now.