11 months ago
San Francisco, CA, USA or New York, NY, USAMid Level
H1B Sponsor
Base Salary
$180k - $240k/yr
Responsibilities
- Architect and deploy massive-scale production workloads on Modal for AI companies and foundation labs.
- Lead technical discovery and architecture sessions with prospective and existing customers.
- Design migration paths from AWS, GCP, or Azure infrastructure to Modal's serverless platform.
- Collaborate with product and sales teams as an engineer and product stakeholder.
- Build relationships with CTOs, VPs of Engineering, and ML leads.
- Conduct technical demos, experiments, and proofs of concept.
Requirements
- At least 3 years of professional software engineering experience.
- Hands-on experience with AWS, GCP, or Azure, including compute, storage, networking, and container orchestration.
- Familiarity with distributed systems architecture, data pipelines, and infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation.
- Strong communication skills and the ability to explain systems architecture and tradeoffs to infrastructure teams and technical leadership.
- Genuine interest in working directly with customers.
- Experience leading large-scale migrations, contributing to open source, or developing notable side projects is a bonus.
- Willingness to work in person in New York City, San Francisco, or Stockholm.
Benefits
- In-person work in New York City, San Francisco, or Stockholm.
Tech Stack
Categories
Forward Deployed
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.