Forward Deployed Engineer - Systems

Modal
San Francisco, Stockholm, New York
Workplace: RemoteFull timeUSD 180,000 - 240,000 annuallyFunction: OtherExperience: 5+ yearsSkills: ["Communication","Presentation","Problem-solving","Collaboration","Customer-facing"]

Experienced Forward Deployed Engineer partnering with sales to drive technical sales success for Modal’s AI infrastructure. You’ll lead technical discovery, design solutions, architect migrations from AWS/GCP/Azure to a serverless platform, conduct demos and POCs, address security/compliance, and collaborate across product, engineering, and sales to accelerate enterprise deployments.

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Modal
Modal
11 months ago

Forward Deployed Engineer - Systems

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Last checked: 10 hours agoStatus: Live

Job Summary

Experienced Forward Deployed Engineer partnering with sales to drive technical sales success for Modal’s AI infrastructure. You’ll lead technical discovery, design solutions, architect migrations from AWS/GCP/Azure to a serverless platform, conduct demos and POCs, address security/compliance, and collaborate across product, engineering, and sales to accelerate enterprise deployments.
Location: San Francisco, Stockholm, New York
Workplace: Remote
Employment Type: Full time

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

Pay and Benefits

Salary: USD 180,000 - 240,000 annually
Equity and Bonus:Equity
Perks:EquityRemote Work

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
  • •Understanding of ML/AI infrastructure challenges including model training, inference, and MLOps workflows
Experience:5+ yearsAI infrastructureEnterprise software
Skills:CommunicationPresentationProblem-solvingCollaborationCustomer-facing
Languages:English
Tech Stack:AWSGCPAzureDockerKubernetesTerraformPulumiCloudFormationSQLNoSQLMLOpsCI/CD

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