Forward Deployed Engineer - Systems

modal· 25 open roles

Location TBD On-siteFullTime8 months ago

Salaryest.

$150,000 - $250,000

Experience

Mid

Job Type

FullTime

Posted

8 months ago

Apply Now

Get more other jobs in your inbox

Verified daily — no ghost listings.

About This RoleAI processing…

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and 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, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and n

Key Responsibilities

1
Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and deploy massive-scale production workloads on Modal
2
Lead technical discovery and architecture sessions with prospective and existing customers
3
Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform
4
Collaborate with Modal's product and sales teams, contributing to the platform as both an engineer and a product stakeholder
5
Build trusted relationships with technical leaders (CTOs, VPs of Engineering, ML leads) at companies doing frontier AI work
6
Conduct technical demos, experiments, and proof-of-concepts that make Modal's infrastructure advantages tangible

Requirements

3+ 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
Genuine interest in working directly with customers — you find it energizing to understand someone else's problem and help them solve it
Bonus: experience leading large-scale migration efforts, open-source contributions, or side projects you're proud of
Willing to work in-person in New York City, San Francisco, or Stockholm