Product Engineer - m/f/d

Job description

Help Us Change the Way the World Works Build something that matters. Langdock exists to change the way the world works, bridging the gap between what technology can do and what people actually do with it. We bring all leading AI models into one secure, model-agnostic platform and make them usable across entire organizations. Over 10,000 companies use our platform every day, from fast-growing startups to some of Europe's largest enterprises. Their employees open Langdock to draft strategies, analyze documents, or automate workflows - helping them to work smarter, think more creatively, and reach their full potential. About the Role A Product Engineer at Langdock owns features end to end. You take a customer problem, scope it, design the solution, build it across the stack, ship it, and stay close to it after release. Product Engineers are close to users. You join customer calls, watch people use the product, read support context, and use that input to decide what should exist and how it should behave. This gives you a lot of product influence. The person building the feature is expected to shape the feature. We are deliberately resource-constrained. For most reasonable feature ideas, the question is not whether we should build them, but when. Product Engineers are the people who turn that prioritization into shipped product quickly, without lowering the bar. From a product perspective, we like how companies like Linear build software: intuitive, efficient and with a high quality standard. The bar is not just whether a feature works. The bar is whether it feels inevitable. We want that level of product taste while solving a much more complex AI and enterprise problem. What You Will Do You will work across our main product surfaces: Chat, Agents, Workflows, Mobile and admin tooling. Examples of the kind of projects Product Engineers have led: Evals for agents. We need infrastructure and product surfaces that let us evaluate agent behavior, compare runs, catch regressions, and help customers trust what agents do. Library, a system for organizing attachments and files uploaded across the platform. The challenge is not only storage; it is making user and workspace knowledge retrievable, understandable, and governed over time. Governance for agents in enterprise workspaces. Admins need to manage agents at scale: who can create them, who can use them, how they are…