Modal

Modal is seeking an experienced Forward Deployed Engineer (FDE) to partner with our sales team and drive technical sales success. As an FDE, you will be the technical voice in our sales process, working directly with Account Executives to help enterprise customers understand how Modal can transform their AI/ML infrastructure. You will partner with Account Executives to identify, qualify, and close strategic enterprise opportunities, lead technical discovery sessions with prospective customers to understand their current infrastructure, pain points, and requirements, and design and present compelling technical solutions that demonstrate how Modal addresses customer needs. You will also 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, and navigate complex technical evaluations and address security, compliance, and integration concerns. Additionally, you will build trusted advisor relationships with technical decision-makers, collaborate with product and engineering teams to communicate customer feedback and influence product roadmap, and support contract negotiations by providing technical expertise.

AI needs a new infrastructure layer, and we're building it at Modal. Our serverless platform provides instant GPU access, sub-second container starts, and native storage, enabling customers to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are seeking experienced engineers to design, build, and maintain these novel, high-performance systems.

AI needs a new infrastructure layer, and we're building it at Modal. Our customers, including category-defining companies, rely on Modal for instant GPU access, sub-second container starts, and native storage to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are seeking strong backend engineers passionate about building developer tools used by the largest AI companies globally. You will be instrumental in developing solutions for large-scale operations and evolving AI workflows.

Modal is building the next generation of AI infrastructure, enabling engineers to run AI workloads without the usual complexities. We are seeking an exceptional individual to join our Talent team as the first dedicated GTM recruiter. In this role, you will own end-to-end recruiting for sales, Go-To-Market (GTM), and other General & Administrative (G&A) searches. You will collaborate closely with the Head of Talent, founders, and GTM leaders to define our hiring strategies and attract the talent that will shape Modal's future.

We are seeking Forward Deployed Engineers to join our engineering team, working at the intersection of deep infrastructure and direct customer impact. In this role, you will partner with leading AI companies and foundation labs on cloud architecture, networking, storage, containerization, and sandboxing. Your primary goal will be to help them design and deploy production infrastructure on Modal's platform, acting as a key technical advisor and problem-solver.

AI needs a new infrastructure layer, and Modal is building it. This role is for engineers with deep AI/ML and low-level systems experience who want to build the best technical support experience in the world. It's an engineering role where you are closest to our customers, splitting your time between direct customer interaction and shipping fixes, features, and automation that improve the platform for everyone. You will solve deeply technical problems arising from running demanding AI workloads, contributing production code alongside the core platform engineers. Your roadmap will be shaped by insights gained from the customer experience frontier.

Modal is building the next generation of AI infrastructure, enabling developers to easily serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are seeking a Developer Relations Engineer to create and distribute unique, educational, and practical technical content. This role is crucial as it often serves as the first touchpoint for many users, aiming to showcase Modal's capabilities and become a trusted resource for AI technology implementation.

We are seeking experienced engineers to build developer tools that users love. The ideal candidate will have a proven track record of creating intuitive and productive interfaces for developers. This role involves a strong focus on developer ergonomics and productivity, requiring a deep understanding of advanced Python features, particularly async programming. You will work closely with users to solve their problems and contribute to a high-impact infrastructure layer for AI. This position also includes participation in an on-call rotation to address production incidents.

Modal is building the next infrastructure layer for AI, enabling developers to run AI-generated code at scale. Our platform provides instant GPU access, sub-second container starts, and native storage, simplifying the deployment of low-latency inference, model fine-tuning, and production-ready sandboxes. We are seeking our first Developer Relations Engineer focused on Modal Sandboxes to create and distribute unique, educational, and practical technical content. This role is crucial for establishing Modal as a trusted resource for developers implementing new AI technologies and showcasing the power and developer experience of our platform.

AI needs a new infrastructure layer, and we're building it at Modal. Our serverless platform provides instant GPU access, sub-second container starts, and native storage, enabling customers to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We are seeking strong engineers with experience and interest in designing, building, and maintaining these novel, high-performance systems.