Forward Deployed Engineer - Systems

Modal
Stockholm
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["English","Communication","Presentation","Collaboration"]

The Forward Deployed Engineer (FDE) partners with the sales team to drive technical sales for enterprise AI infrastructure. You will lead technical discovery with prospects, design and present solutions, architect migrations from AWS/GCP/Azure to Modal’s serverless platform, run demos and PoCs, address security and integration concerns, and collaborate with product and engineering to influence the roadmap.

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FursaFursa
Modal
Modal
8 months ago

Forward Deployed Engineer - Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

The Forward Deployed Engineer (FDE) partners with the sales team to drive technical sales for enterprise AI infrastructure. You will lead technical discovery with prospects, design and present solutions, architect migrations from AWS/GCP/Azure to Modal’s serverless platform, run demos and PoCs, address security and integration concerns, and collaborate with product and engineering to influence the roadmap.
Location: Stockholm
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Lead technical discovery sessions with prospective customers to understand their current infrastructure, pain points, and requirements
  • •Design and present compelling technical solutions that demonstrate how Modal addresses customer needs
  • •Architect migration paths from existing cloud infrastructure (AWS, GCP, Azure) to Modal's serverless platform
  • •Conduct technical demos, experiments, and proof-of-concepts that showcase Modal's capabilities
  • •Navigate complex technical evaluations and address security, compliance, and integration concerns
Travel: Medium travel

Key Requirements

  • •5+ years of experience in solutions engineering, sales engineering, or customer-facing technical roles
  • •Deep hands-on experience with cloud platforms (AWS, GCP, Azure) including compute, storage, networking, and managed services
  • •Strong knowledge of containerization technologies (Docker, Kubernetes, container orchestration)
  • •Experience with databases (SQL/NoSQL), data pipelines, and distributed systems architecture
  • •Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD pipelines
Experience:5+ yearsCloudServerlessMLOps
Skills:EnglishCommunicationPresentationCollaboration
Languages:English
Tech Stack:AWSGCPAzureDockerKubernetesTerraformPulumiCloudFormationSQLNoSQLCI/CDMLOps

Company Brief

Modal
Provides a serverless, high-performance cloud platform for AI, ML, and data workloads — offering instant autoscaling, elastic GPU access, and developer-first tooling to run inference, training, and batch jobs at scale.
Industry: Cloud Computing
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: New York City, United States
Founded: 2021
WebsiteLinkedIn