Modal

Forward Deployed Engineer - Systems

Modal2 months ago
Location

Stockholm

Type

Full Time

Salary

SEK 150,000 – 250,000

Level

Senior

Role

Forward Deployed Engineer

Posted

Jan 12, 2026

Full TimeSenior

The role

Summary

Modal is seeking an experienced Forward Deployed Engineer to drive technical sales success in their AI infrastructure platform. The role involves partnering with sales teams to help enterprise customers understand and adopt Modal's serverless AI infrastructure solutions, requiring deep technical expertise in cloud platforms, containerization, and ML/AI technologies.

What you'll do

Technical Sales Partnership: Collaborate with Account Executives to identify, qualify, and close strategic enterprise opportunities in AI infrastructure
Customer Discovery: Lead technical discovery sessions to understand customer infrastructure needs, pain points, and requirements
Solution Design: Architect and present compelling technical solutions demonstrating Modal's platform capabilities
Infrastructure Migration: Design migration paths from existing cloud infrastructure to Modal's serverless platform
Technical Demonstrations: Conduct technical demos, experiments, and proof-of-concepts showcasing Modal's AI infrastructure capabilities
Customer Relationship Management: Build trusted advisor relationships with technical decision-makers like CTOs and VP of Engineering
Product Feedback: Collaborate with product and engineering teams to communicate customer insights and influence product roadmap

What we look for

Technical

Cloud ExpertiseComprehensive knowledge of AWS, GCP, and Azure cloud services including compute, storage, networking, and managed services
ContainerizationAdvanced understanding of Docker, Kubernetes, and container orchestration technologies
Database TechnologiesProficiency in SQL and NoSQL databases, data pipelines, and distributed systems architecture

Education

Technical DegreeBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Sales EngineeringMinimum 5 years of experience in solutions engineering, sales engineering, or customer-facing technical roles
Enterprise Sales CycleProven experience supporting enterprise software sales cycles with deals over $100K ACV
Infrastructure MigrationDemonstrated ability to build migration strategies for large-scale infrastructure transformations

Skills

Required skills

Cloud PlatformsExtensive hands-on experience with AWS, GCP, and Azure cloud infrastructure
ContainerizationExpertise in Docker, Kubernetes, and container orchestration technologies
Enterprise SalesProven track record of supporting enterprise software sales cycles with $100K+ ACV
Infrastructure as CodeProficiency in tools like Terraform, Pulumi, and CloudFormation
ML/AI InfrastructureDeep understanding of machine learning infrastructure, MLOps workflows, and distributed systems

Nice to have

Serverless ComputingExperience with serverless computing platforms and container solutions
Technical PresentationsOutstanding ability to communicate complex technical concepts to diverse audiences
Migration StrategiesExperience in developing infrastructure migration roadmaps for large-scale enterprise transformations

Compensation & benefits

Salary

SEK 150,000 – 250,000 (annual)

Stock options

Available

Benefits

Equity

Stock options in a high-growth AI infrastructure startup valued at $1.1B

Professional Development

Opportunities to work with creators of popular open-source projects and experienced engineering leaders

Global Team

Part of a multinational team with presence in NYC, SF, and Stockholm

Cutting-Edge Technology

Work with advanced AI infrastructure and serverless computing platforms

Interview process

  1. 1
    Initial Screening — Phone or video call with recruiting team to assess background and initial fit
  2. 2
    Technical Assessment — Comprehensive evaluation of cloud infrastructure, sales engineering, and technical solution design skills
  3. 3
    Sales Engineering Challenge — Practical scenario-based assessment simulating real-world enterprise sales engineering situations
  4. 4
    Executive Interview — Final interview with senior leadership to evaluate strategic thinking and cultural alignment
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Modal

Modal

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Modal is a cloud computing platform that enables developers to build, deploy, and scale applications without managing underlying infrastructure. The company provides serverless computing solutions that allow developers to run code on demand, handle background jobs, and deploy machine learning models with minimal operational overhead. Modal serves software developers and organizations looking to streamline their application development and deployment processes in the cloud.

San Francisco, USAFounded 2021modal.com

Tech Stack

Languages
PythonShell Scripting
Frameworks
TerraformKubernetes
Databases
PostgreSQLMongoDB
Tools
DockerGitAWS CLIPulumi
Other
MLflowPrometheus
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