AI Field Engineer
Modal LabsNew York, New York, United States • Stockholm, Sweden • San Francisco, California, United States
Posted September 23, 2025
Full Time
About the Company
Modal Labs is a platform that accelerates development, reduces costs, and scales workloads for data science and machine learning teams using generative AI models and serverless GPUs. Our pay-per-use model ensures efficient resource utilization, allowing users to access powerful computing power on demand without idle costs. Modal offers a wide range of services including LLM inference and fine-tuning, generative model training and inference, and computational biology, among others.
Job Description
Modal is building a serverless compute platform for AI companies, aiming to deliver a developer experience and a fast-growing company with over $32 million in funding. They are seeking an experienced Field Engineer to partner with sales teams, identifying and closing strategic enterprise opportunities, and demonstrating Modal's capabilities. The role involves technical discovery, architectural design, and navigating complex technical evaluations.
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
- Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD pipelines
- Proven track record of supporting enterprise software sales cycles ($100K+ ACV)
- Exceptional presentation and communication skills
- Strong business acumen with understanding of enterprise buying processes and procurement
- Experience building migration strategies and implementation roadmaps for large-scale infrastructure changes
- Ability to work effectively with cross-functional teams
- Experience selling or implementing serverless computing, container platforms, or ML infrastructure solutions
