The opportunity
AI needs a new infrastructure layer. We're building it at Modal.
What you'll do
Work hands-on with companies like Suno, Lovable, Cognition, and Meta to: architect and deploy massive-scale production workloads on Modal
Lead technical discovery and architecture sessions with prospective and existing customers
Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform
Collaborate with Modal's product and sales teams, contributing to the: platform as both an engineer and a product stakeholder
Build trusted relationships with technical leaders (CTOs, VPs of Engineering,: ML leads) at companies doing frontier AI work
Conduct technical demos, experiments, and proof-of-concepts that make Modal's: infrastructure advantages tangible
What they're looking for
- + years of professional software engineering experience
- Hands-on experience with cloud platforms (AWS, GCP, Azure): compute, storage, networking, and container orchestration (Docker, Kubernetes)
- Familiarity with distributed systems architecture, data pipelines, and: Infrastructure as Code (Terraform, Pulumi, CloudFormation)
- Strong communicator who can go deep on systems architecture with an: infrastructure team and clearly articulate tradeoffs to technical leadership
