Forward Deployed Engineer
Summary
Forward deployed engineer at an early-stage AI startup building automation for sea and air freight. You work directly with logistics customers to turn their workflows into production software — full-stack TypeScript/Node.js, ERP/TMS integrations, and data pipelines — with regular travel to customer sites in Europe and Asia.
About the Role
This is a forward deployed engineering role at an early-stage AI startup building purpose-built automation for the sea and air freight industry. You will sit between logistics operations teams and the founding engineering team, translating real-world customer workflows into production software. The work is high-stakes, customer-facing, and central to how the product evolves.
What You'll Do
Partner directly with logistics teams to understand their workflows and translate operational needs into system design.
Build fast, AI-powered tools across the full stack using Node.js and TypeScript.
Integrate with enterprise ecosystems including ERP, TMS, SFTP, and event queues, and construct reliable data pipelines for messy, real-world data.
Shape product direction and technical decisions alongside a small founding team.
Travel regularly to key customer accounts across Europe and Asia to maintain close relationships.
Write clean, production-ready code and own outcomes end-to-end from design through deployment.
What We're Looking For
3 or more years building full-stack applications or backend systems in production environments.
Strong proficiency in TypeScript and Node.js; React or another modern frontend framework is a plus.
Proven experience designing and integrating with enterprise systems such as ERPs, TMSs, and external APIs.
Experience building and maintaining data pipelines handling unstructured or multi-source data.
Hands-on experience with cloud infrastructure tools such as Docker, Terraform, GCP, or AWS.
Comfort working in high-autonomy, early-stage environments with full ownership of outcomes.
Clear, effective communication with both technical and non-technical stakeholders.
Willingness and ability to travel regularly to customer sites in Europe and Asia.
Familiarity with GenAI or LLM architectures (RAG, evals, orchestration) is a bonus.
Background in logistics, supply chain, or operations is a plus but not required.
Location
Berlin, Germany. Hybrid work arrangement with regular travel to customer sites in Europe and Asia.
Skills
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