Product Engineer - m/f/d

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 shared, how they are audited, and how they fit into existing security policies.

• Excel and Outlook plugins that bring Langdock into the tools enterprise users already live in.

• The Langdock Workflows product, which allows users to compose multi-step automations with agents, conditions, loops, structured outputs, and human-in-the-loop nodes.

You will pick up an area of the product to work on over time and shape where it goes next.

Tech stack

• TypeScript across a Turborepo monorepo

• Next.js, React, Tailwind on the front end

• Node.js, PostgreSQL with Prisma (and pgVector), Redis with BullMQ on the back end

• React Native and Expo for the mobile app

• Linear for ticket management

• Datadog and Sentry for observability

You should be familiar with most of this. We trust you to pick up the rest quickly.

How we ship

• Small temporary squads of 2 to 3 engineers around a topic. Squads form, ship, and dissolve.

• Every change is linked to a Linear ticket and ships via PR. CI runs lint, tests, and AI review. One human review is required.

• We deploy continuously to production.

• Engineers have the opportunity to join customers on-site, to sit with real users during hackathons or workshops

• We use AI tools heavily in engineering. You have freedom in the tools to use (eg. Cursor, Claude, Codex). We are building a strong harness that allows engineers to move fast while shipping high quality software.

• We are building a strong operating system around AI-assisted shipping: clear ticket context, focused branches, AI review before human review, screenshots or videos for product changes, and production verification after release.

• The engineer who ships a change owns it in production. If something breaks, you lead the fix.

You Might Be a Fit If…

• 3 to 6 years of full-stack experience shipping production software people actually use.

• Strong in TypeScript, React, and Node. Comfortable with Postgres, Redis, queues, and async work.

• Very driven. You have high standards for yourself, move fast without needing to be pushed, and want to do the best work of your career.

• Close to users. You want to understand why people behave the way they do, and you use that understanding to make product decisions.

• Able to take a vague problem to a shipped feature. You scope, decide, implement, test, and iterate.

• A working understanding of how LLMs behave: context windows, tool calling, streaming, and the differences between major providers.

• Heavy user of AI tooling in your own development workflow, with opinions on what works and what does not. We are looking for people who are already compounding their output with AI.

• Demonstrated ability to ship things end to end: side projects, open source, products with real users, or something equivalent.

• You are a kind person who cares about the people around you.

The Environment

We work from our office in Berlin, Greifswalder Strasse 212. Everyone works together in person because the hardest problems get solved faster at a whiteboard than in a Slack thread. Conversations happen faster, problems get solved quicker, and we actually know each other.

Days start at 8:30. Lunch & dinner are together. We run, go to the gym, and take care of ourselves. Health is not separate from work here, it is part of how we work well.

The vibe is calm but intense. No one is yelling or panicking. But everyone is working hard on things that matter.

Compensation

Salaries are transparent and tied to levels, not negotiation. All roles include equity.

We will figure out the right level together based on your experience and scope. Levels are about the work you own, not your title or years of experience. We narrow down the expected salary range early in the process.

Next steps

We move fast. Most processes complete within two weeks.

If this sounds like your kind of work, we would like to meet you.