Forward Deployed Engineer - Systems

Modal, Inc

$120K — $160K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in solutions engineering, sales engineering, or customer-facing technical roles
  • Hands-on experience with AWS, GCP, Azure cloud platforms
  • Strong knowledge of Docker, Kubernetes, and container orchestration
  • Experience with SQL/NoSQL databases and distributed systems architecture
  • Understanding of ML/AI infrastructure, including MLOps workflows
  • Familiarity with Infrastructure as Code and CI/CD pipelines
  • Proven track record of enterprise software sales cycles ($100K+ ACV)

Responsibilities

  • Collaborate with sales team to identify and close strategic enterprise opportunities
  • Lead technical discovery sessions to assess customer infrastructure and needs
  • Design and present tailored technical solutions for customer requirements
  • Architect migration strategies from existing cloud platforms to Modal
  • Conduct technical demonstrations and proof-of-concepts for prospective clients
  • Address technical evaluations, security, compliance, and integration concerns
  • Establish trusted relationships with technical decision-makers
  • Communicate customer feedback to product and engineering teams

Benefits

  • Opportunity to work with a rapidly growing AI infrastructure company
  • Chance to influence product development and company direction
  • Collaboration with a skilled and diverse team from top tech backgrounds
  • Professional growth opportunities in a fast-paced environment
  • Exposure to cutting-edge technology and innovation in AI and serverless computing
  • Travel opportunities for customer engagements and industry events
Full Job Description
The Role:

We're looking for Forward Deployed Engineers on our engineering team who want to work at the intersection of deep infrastructure work and direct customer impact. As an FDE, you'll partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, sandboxing, and more - helping them design and ship production infrastructure on Modal's platform.

The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the infrastructure stack, and energy for working directly with customers on hard problems. You will:
  • 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


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

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