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.
You will take Langdock from first conversation to signed contract. Our customers are IT leaders, security teams, and executives at mid to large companies worldwide. The product sells well, but enterprise deals require someone who can navigate complexity, build trust, and close.
This role is pivotal in driving our expansion across diverse customer segments, from innovative scale-ups and SMBs to established enterprise clients. Your focus will be on leveraging data, technology, and AI to create impactful sales processes and achieve ambitious targets.
Full-Cycle Sales Mastery: Own the entire sales lifecycle from lead qualification to closing, ensuring a seamless transition to customer success.
Customer Success Advocacy: Continuously analyze customer needs to enhance their success and satisfaction with our solutions.
Strategic Revenue Development: Collaborate with partnerships, marketing, and customer success to design effective go-to-market strategies and explore new market opportunities.
Industry Influence: Establish thought leadership by building and nurturing industry relationships.
Growth and Innovation: Contribute to evolving our growth engines across people, processes, content, and tools, while exploring new revenue sources.
AI Enthusiast: Proficient in AI technologies, with a preference for those who have previously sold AI solutions.
Enterprise Sales Expertise: Strong background in handling complex enterprise deals and a proven ability to carry a significant quota.
Builder Mindset: Capable of developing content and processes with a can-do attitude.
Multilingual Communication: Fluent in English and German, with excellent written and verbal communication skills to engage prospects effectively.
Market Insight: Deep understanding of our Ideal Customer Profiles (ICPs) and the ability to align solutions with their needs.
You are a kind person who cares about the people around you.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
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.
We're seeking a skilled Partnership Manager to join our team full-time and in person to own our partner ecosystem and drive revenue growth. This role is perfect for someone who wants to work with leading consultancies and system integrators while shaping the commercial future of enterprise AI.
You will be responsible for the entire partner lifecycle – from identifying and recruiting high-potential partners (Boutiques, R/GSIs, Tech Partners) to enabling them to sell and implement Langdock. You will manage our partner tiers (Registered, Certified, Specialist, Expert) and ensure operational excellence.
Weeks 1 to 6:
50% of your time: Onboarding and a deep dive into the Langdock platform and our partner ecosystem. You will familiarize yourself with our existing partners, our tier structure, and our operational tools.
50% of your time: Intensive onboarding, product mastery through customer interactions, and helping out in customer support.
Weeks 7 to 11:
You will start managing relationships with existing partners and begin the recruitment process for new key partners. You will also take ownership of partner enablement sessions and start working on joint go-to-market strategies.
Week 12 and beyond:
You will fully own the partner channel revenue target. You will drive co-sell and resell motions, manage the partner pipeline, and work strategically to expand our ecosystem with high-value consultancies and tech partners.
Build the Ecosystem: Identify, recruit, and manage relationships with key partners, including boutique consultancies, regional & global system integrators, as well as technology partners.
Drive Revenue: Work with partners to generate new business opportunities through referral, co-sell, and resell motions. You will be responsible for achieving revenue targets associated with the partner channel.
Partner Enablement: Ensure partners are equipped to sell and implement Langdock solutions. This includes conducting product and sales enablement sessions, providing marketing materials, and keeping partners updated on our roadmap.
Operational Excellence: Manage the operational aspects of our partnership program, including deal registration, commission payouts, and partner tier management.
Cross-Functional Collaboration: Collaborate with our Product, Marketing, and Customer Success teams to ensure our partners and mutual customers are successful. Act as the voice of the partner within Langdock.
Strategic Planning: Help refine our partnership strategy, including tier structures, benefits, and requirements, to ensure alignment with our overall company goals.
Relationship Builder: You have built partnerships in a B2B SaaS environment, ideally with consultancies or system integrators, and you have a proven track record of building strong, lasting relationships with external stakeholders. You are empathetic and genuine, embodying our value of \"Caring Ownership.\"
Strategic Thinker: You can think strategically about how to leverage partnerships to drive growth. You understand the dynamics of the partner ecosystem and can identify high-value opportunities.
Execution Oriented: You are a self-starter who can take ownership of projects and drive them to completion. You embody our value of \"Ambitious Execution\" and are comfortable working in a fast-paced environment.
Communication Skills: You have excellent written and verbal communication skills, C1 or native in both English and German.
Tech Savvy: You have a good understanding of the software landscape and are comfortable learning new technologies. You are excited about the potential of AI to transform the way we work.
You are a kind person who cares about the people around you.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
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.
At Langdock, design is not decoration. It is how we earn trust. Humans extrapolate quality from what they can see, which means every touchpoint matters: the website, the slides, the office, the merch, the event space, the email someone gets before a dinner. All of it is Langdock.
This role is for someone who thinks about brand as a complete experience. You care as much about the hoodie people wear to a conference as you do about the landing page they land on afterward. You can move between Figma and a brief to a print vendor without losing momentum. And you are technical enough to ship what you design without having to hand it off.
Own and evolve the design system. You maintain the components, tokens, and visual patterns that everything else is built on. When something new is needed, you design it and make it reusable so others can work without you.
Keep our website excellent. Fast, visually sharp, and capable of whatever the team needs. You handle the visual and frontend side without a ticket queue.
Design merch that people actually want to own. Not branded giveaways. Objects people reach for. You brief suppliers, iterate on samples, and make calls on quality. You know the difference between merch that represents the brand and merch that dilutes it.
Shape physical spaces. The office, event setups, and conference booths. You think about how a room feels, what it says about us, and how to make people feel something when they walk in.
Lead special creative projects. Launch moments, high-visibility campaigns, and one-off collaborations (like our print version of the “AI Adoption Playbook”). You own them end-to-end.
The Langdock brand lives online and offline, and someone needs to hold both with the same level of care.
You will also have real creative latitude. What should a Langdock event feel like when someone walks in? What does the merch say about who we are? You bring a point of view, and you make it real.
And because we are small, you will see the impact of your work directly and quickly. A well-designed dinner space, a piece of merch that people keep, a website update that converts better.
You have 5+ years of design experience, best case with product and UX work behind you. You have shipped digital products, websites, or flows that people actually used, and you have the intuition to look at a screen and know what is off.
You think about brand as a full experience. You have opinions about physical materials, spatial design, and what objects say about a company.
You are strong in Figma (and best case: comfortable in code). You have shipped things that look good in production, not just in a mockup.
You have taste, and you can defend it. You know what good looks like, and you push back when something is not there yet. You work well with ambiguity, and when a project comes without a brief, you figure out what it should be and make it.
You live and breathe the AI space. You follow the up-and-coming startups, you track where design is heading, and you use AI tools daily to move faster without cutting corners.
You are a kind person who cares about the people around you.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
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.
Everyone in business at Langdock is technical. Not in theory, but in practice. You should be comfortable discussing APIs, building automations, and thinking in systems. Our business team does not just work with AI. We rethink how work itself gets done with it. We design new AI powered workflows for ourselves and our customers, experiment with internal automations, and continuously refine how sales, operations, and customer success operate using our state-of-the-art products. We treat day-to-day work as an applied AI discipline. We have the following departments that we are hiring for:
You will take Langdock from first conversation to signed contract. Our customers are IT leaders, security teams, and executives at mid to large companies worldwide. The product sells well, but enterprise deals require someone who can navigate complexity, build trust, and close.
You will build and own strategic relationships that expand Langdock's reach. This includes technology partners, consulting firms, system integrators, and ecosystem players who influence how AI is adopted.
You will own the relationship after the sale: onboarding, adoption, expansion, renewal. When a customer succeeds with Langdock, that is your work. When they struggle, you figure out why and fix it.
You are the technical bridge. You understand APIs, integrations, and enterprise architecture well enough to spec implementations, answer hard questions in calls, and make sure what we promise actually works.
You will build the systems that let everything else run: applied AI, finance, legal, people ops, internal tools. At our stage, this means solving problems directly, not managing people who solve them.
You will tell Langdock's story: content, brand, events, demand generation. We are not interested in vanity metrics. We want marketing that drives pipeline and helps customers understand what we do.
The specifics depend on the function, but across all business roles:
Own outcomes, not activities. We do not measure hours or meetings. We measure results and efficiency getting there.
Work directly with customers. Even in ops or marketing, you will be close to the people who use our product.
Use Langdock constantly. We build AI tools for work. You will use them to do your work. Your feedback shapes the product.
Ship things. We do not have six month planning cycles. You will identify a problem, propose a solution, and execute, often in the same week.
Work with kind individuals. We are a small team of highly ambitious people with low egos. We want to have fun and enjoy working together.
You are working at the forefront of potentially the biggest technological shift in history. Working at Langdock prepares you for the future of work.
We went from €1M to €15M+ ARR in one year while being profitable. No aggressive sales tactics. No unsustainable burn.
You will join early enough to shape how things work, but late enough that we have traction, customers, and a product people love. The hard part is not convincing people AI matters. It is helping them adopt it well. That is a genuinely interesting problem.
You will also learn fast. Our team is small, the scope is large, and the feedback loops are short. People who joined a year ago are now running critical functions. If you are good, you will grow.
You have done something hard and can talk about it clearly, what worked, what did not, what you learned.
You do not just use AI tools daily. You actively nerd about your setup. You experiment with different models, prompts, workflows, and automations. You have strong opinions about what works, what breaks, and why.
You are technical enough to understand how SaaS products work: databases, APIs, integrations, basic architecture.
You would rather own a problem than be told exactly what to do.
You are genuinely curious about how businesses work and why people buy things.
You are a kind person who cares about the people around you.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
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.
AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in.
As an Forward Deployed Infrastructure Engineer at Langdock, you own the infrastructure that powers our enterprise AI platform across dozens of customer cloud environments. You build the systems that make deploying, monitoring, and operating Langdock scalable, turning what today takes weeks into a repeatable, automated process that works across AWS, Azure, GCP, and self-hosted cloud configurations.
This is not a back-office infrastructure role. Customer-facing work is a core part of what you do. You work directly with IT, security, networking, and compliance teams at some of Europe's largest enterprises, translating their requirements into working infrastructure and navigating their approval processes to move deployments forward. You bring the technical depth to earn trust at the C-level and the clarity to make complex architecture decisions legible to any stakeholder in the room.
You take ownership of the deployment process end to end: from writing the infrastructure code that gets new customers live, to keeping existing deployments running reliably, to driving the initiatives that make our setup scale. You don't wait to be told what needs improving. You see it, you build it, and you ship it.
Based full-time at our Berlin headquarters, you will be a critical technical voice for the team and the first point of contact for any infrastructure and platform questions from colleagues and customers alike.
You are fluent in German (C1+ or native) and English.
Deploy the Langdock platform across customer cloud environments (AWS, Azure, GCP, OpenShift, and others) using infrastructure-as-code
Explain the Langdock architecture and build trust with technical and C-level stakeholders in customer meetings
Guide customers through the entire deployment process and act as their primary point of contact throughout
Adapt and extend infrastructure code to meet each customer's specific requirements
Serve as the primary technical contact for customer IT, security, networking, and compliance teams
Translate customer requirements (from compliance constraints to networking specifics) into working infrastructure and platform changes
Connect customer environments and applications to the platform: networking, access, integrations, and everything required to get a deployment live
Communicate clearly and proactively across diverse stakeholder groups. This is a central part of the role, not a side responsibility.
Coordinate and perform regular version upgrades together with our customers
Build and maintain monitoring and alerting for dedicated deployments (e.g. using Datadog)
Participate in on-call rotation to keep customer platforms running reliably at all times
Drive cost monitoring and efficiency improvements across stacks
Reproduce and support resolution of bugs related to single-tenant deployments
Professionalize and standardize the deployment setup so it scales across a growing customer base
Build and maintain CI/CD pipelines and tests to keep infrastructure code high quality
Contribute to the product where infrastructure and application meet: from switching to managed identities to improving access control
Build self-serve documentation for customers based on their feedback
You have strong, hands-on cloud engineering experience, ideally across more than one major provider (AWS, Azure, GCP). You have deployed real systems into production and you know what it takes to keep them running reliably in complex enterprise environments. Infrastructure-as-code is second nature to you, not something you reach for when you have to.
You are comfortable in customer-facing situations. You can walk a CISO through a security architecture, manage a deployment review with a skeptical IT team, and represent Langdock credibly at the C-level, all in the same week. You don't wait for someone else to take the lead in these conversations.
You take ownership. You see what needs to be improved in the deployment setup, the monitoring stack, the documentation, or the security posture, and you make it happen without being asked. You treat every deployment as a chance to make the next one better.
You are fluent in German (C1+ or native) and English. A significant share of our enterprise customer communication happens in German.
You are a kind person who cares about the people around you.
Bonus: experience with OpenShift or on-premises deployments, prior work in a security or compliance-heavy environment, or early-stage startup experience where you had to build things that scale from scratch.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
Langdock is the AI platform used by more than 10,000 companies to give employees secure access to the leading AI models, to build and share agents and to automate repetitive workflows. We have grown past $40M ARR while remaining a small team, and we care deeply about operating efficiently across the entire company.
For many enterprises, Langdock is becoming the place where most of the net-new work is produced. As people and agents create more documents, analyses, decisions, and automations inside AI interfaces, the context and data behind that work accumulate within Langdock. This gives us the opportunity to earn a larger role in their technology stack by building a platform they choose to rely on.
Our ambition is to build that platform for European enterprises while preserving their control over data, model providers, and deployment environments. We have made meaningful progress at the application layer, but much of the foundation beneath it still needs to be built.
You can watch the Meet the engineering team video to get a feeling for how we work.
Design Engineers own the experience and visual language of Langdock, then turn that design into working software. You take an ambiguous product problem from the user's workflow through information architecture, interaction design, visual execution, and production code.
The source of truth is the product, not a handoff. Figma is useful for exploration, but the decisive design work happens in React, where real data, latency, permissions, edge cases, and responsive behavior are visible. You are responsible for whether the final interaction is clear, coherent, and technically sound.
This role spans individual product surfaces and the systems behind them. You will shape major workflows yourself, build the component library and design system that raise the quality of work across the company, and help other engineers make better interface decisions.
Human-agent collaboration. Design how people give agents context, steer work in progress, approve actions, inspect tool calls, recover from failure, and review complex outputs. The challenge is to make powerful multi-step systems understandable without reducing the experience to another chat interface.
Dense enterprise workflows. Make permissions, governance, configuration, evaluations, and workspace administration understandable to occasional users without slowing down experts. Find the hierarchy and interaction model that preserve necessary complexity without making the product feel heavy.
Creating work with agents. Define the interfaces where people and agents produce and revise documents, analyses, spreadsheets, applications, and other structured work together. Show progress, changes, sources, and control clearly enough that users can understand and trust the result.
The design system. Build and evolve reusable components, interaction patterns, typography, motion, and layout principles that keep a growing product coherent. Make the high-quality choice the fastest choice for engineers working across the product.
Prototypes and production interfaces. Turn uncertain ideas into realistic software quickly enough to expose difficult interaction and technical questions before the team commits to an approach. Then implement responsive, accessible product surfaces in React and Tailwind CSS, going into the backend when a strong end-to-end result requires it.
Product storytelling. Apply the same visual standard to launches, product pages, demos, and other materials that explain what Langdock does. Work in code where appropriate and make sure the way we present the product matches the quality of the product itself.
TypeScript, React, Next.js, and Tailwind CSS in one Bazel monorepo
Node.js, PostgreSQL, and Prisma when work crosses into the backend
Figma for exploration
Linear for planning and GitHub for code review
You should be strong in the frontend stack and comfortable learning enough of the surrounding system to finish work end to end.
We operate with high trust and autonomy in squads of 3 to 4 engineers. A squad owns its roadmap, prioritization, technical decisions, and operation in production. Engineers are expected to find the context they need, ask for input when it improves the outcome, and move work forward without waiting for every next step to be assigned.
We align asynchronously before scheduling a meeting. Product requirement documents (PRDs) define the user problem, intended outcome, and constraints. Design documents make architectural boundaries, tradeoffs, failure modes, migrations, and rollouts explicit. People read and challenge the thinking asynchronously; once the context is shared, a short in-office discussion or whiteboard session usually resolves the remaining questions quickly.
We optimize for leverage. Engineers choose the AI tools that work for them, supported by clear ticket context, focused branches, automated tests, and AI review before human review. We also invest in observability, migration tooling, automated recovery, and runbooks so recurring product maintenance does not depend on someone remembering a manual step.
The engineer who ships a change owns it in production. If something breaks, you lead the fix.
You have designed and shipped production interfaces in React, Next.js, and Tailwind CSS.
You use Figma when useful, but prefer testing important design decisions in working software.
You can take an ambiguous problem through user flows, information architecture, interaction design, visual execution, and production code.
You have enough full-stack familiarity to handle backend work when the experience requires it.
You understand complex business-to-business software, either through professional experience or strong related portfolio work.
You have a strong, considered point of view on visual design and can explain your decisions.
You care about interaction details, including transitions, hover states, loading behavior, responsiveness, accessibility, and empty states.
You give direct, constructive feedback and help other engineers improve the quality of their interfaces.
You care about the people around you and contribute to a thoughtful working environment.
We want to see what you have built and designed. Please include at least one of the following with your application:
A Dribbble profile or screenshots or videos of interfaces you have designed and implemented.
A brief screen recording (2–5 minutes) that walks through a project you took from problem to shipped product, ideally a complete website or application. Explain your design decisions and the code behind them.
If you have not worked in business-to-business software as a service (B2B SaaS) before but have related experience, strong portfolio work is how you can make the case.
This is an in-office role at Greifswalder Strasse 212 in Berlin. We work together in person because it helps us build trust, develop shared context, and make decisions quickly.
Most engineers start around 8:30. We usually eat lunch together, and dinner is available for people who stay later. Running and gym are part of the routine for many of us.
You need an existing right to work in Germany. We do not currently sponsor visas.
The salary range for this role is €90,000–€140,000 gross per year. 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. Salaries are tied to levels, not negotiation.
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.
AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in.
As an Enterprise Customer Success Manager at Langdock, you are the person who guides companies through that shift - as part of our Customer Success organization, working alongside Solutions Engineering. You build the trust that makes companies willing to change. You act as a strategic sparring partner, helping customers navigate the complexity of AI transformation, challenge their assumptions, and make decisions with confidence.
You own a portfolio of enterprise accounts: adoption, expansion, retention, and everything in between. Your job is to directly shape how AI lands inside each customer - and how deep it goes.
You will work closely with Solutions Engineering to deliver real value and with Product to bring the customer's voice into what we build next. You will have genuine influence over both.
And you will use our own product to do your job better than any traditional Customer Success setup could. Everyone at Langdock builds AI agents and workflows to automate their own work. You will too. That is not an add-on. It is part of how we operate.
At Langdock, adoption goes beyond seat activation. It is the moment AI becomes how a team works - and our job is to get every customer there.
Own a portfolio of enterprise accounts and be accountable for adoption, retention, and expansion across users, use cases, and deployment scope
Drive measurable AI transformation inside each customer - from first use case to company-wide rollout
Host engaging workshops that inspire and translate directly into new use cases, active users, and visible momentum inside the customer
Navigate complex enterprise stakeholder landscapes: find the champions, manage the blockers, build multi-threaded relationships
Build structured account plans for your highest-value customers: stakeholder maps, health assessments, growth opportunities, risk mitigation
Run strategic customer conversations - QBRs, executive business reviews, and proactive check-ins - that are grounded in data and outcomes
Work cross-functionally with Solutions Engineering, Product, and Sales to translate customer needs into internal action
Build AI agents and automated workflows to manage your own book of business - we expect you to systematically eliminate manual work from your role, not just use AI as a productivity boost
Be the voice of the customer internally without losing sight of Langdock's product direction - our principle is Product > Customer Success > Marketing > Sales
You have 5+ years of experience in a customer-facing role with enterprise customers - whether that is Account Management, Customer Success, or a consultative post-sales role. You have worked with real technical products, not just lightweight SaaS tools, and you understand what it takes to drive adoption in complex organizations.
You don't just understand AI - you build with it. You have hands-on experience creating agents, automating workflows, and using AI to do work that would normally require more people. You can talk credibly about model selection, data privacy, and integration architectures with technical stakeholders because you've dealt with these questions yourself. You treat your own role as a proving ground for what AI can do in enterprise organizations.
You are commercially strong. You know how to have renewal and expansion conversations, navigate multi-stakeholder environments, and build relationships across all levels of an enterprise organization - from end users to C-level.
You are strategic and data-driven. You zoom out from the day-to-day to see the bigger picture for an account. You work with CRM data, usage signals, and health scores - and you turn numbers into stories that drive decisions.
Customers see you as a strategic sparring partner on their AI journey, not just a vendor contact. You take ownership of your book of business and you don't wait to be told - because the customer's transformation depends on you, not on a process.
You are fluent in German (C1+) and English.
You are a kind person who cares about the people around you.
Bonus: you come from an AI-native company, technical consulting (e.g. QuantumBlack), or an early-stage startup. Founder or early-employee experience is a plus.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
Langdock is the AI platform used by more than 10,000 companies to give employees secure access to the leading AI models, to build and share agents and to automate repetitive workflows. We have grown past $40M ARR while remaining a small team, and we care deeply about operating efficiently across the entire company.
For many enterprises, Langdock is becoming the place where most of the net-new work is produced. As people and agents create more documents, analyses, decisions, and automations inside AI interfaces, the context and data behind that work accumulate within Langdock. This gives us the opportunity to earn a larger role in their technology stack by building a platform they choose to rely on.
Our ambition is to build that platform for European enterprises while preserving their control over data, model providers, and deployment environments. We have made meaningful progress at the application layer, but much of the foundation beneath it still needs to be built.
You can watch the Meet the engineering team video to get a feeling for how we work.
Product Engineers own a customer problem and its outcome from discovery through production. You speak with users, decide what the product should do, build the solution across the stack, ship it, and use production feedback to determine what happens next.
Being close to users gives you substantial product-shaping power. You are expected to distinguish the underlying need from the initial request, form a point of view, and make decisions about scope, interaction, architecture, and sequencing. The role is measured by what changes for users and the business, not by how many tickets move to done.
We like the way Linear builds product: a clear point of view, fast iteration, and a consistently high standard in the final software. We want the same care and coherence in a more complex setting, where AI behavior is probabilistic and enterprise requirements are part of the product rather than an afterthought.
Product Engineers turn new AI capabilities into products that fit how enterprises actually work. This includes evolving our core products, inventing new interaction models for people and agents, making probabilistic systems understandable and governable, and bringing those capabilities into the tools and workflows customers already use.
Chat and Agents. Evolve the core Langdock experience where people work with models and agents. Design how users provide context, work with files, call tools, create and share agents, and turn model output into completed work. The product must make streaming responses, tool execution, latency, and failure feel clear and dependable without exposing users to the complexity underneath.
New interfaces for agentic work. Design how people steer multi-step work, review intermediate results, approve actions, edit outputs, and recover from failure when established interface conventions do not exist yet. This includes moving beyond chat toward interfaces for producing documents, analyses, applications, and other structured work together with agents.
Making agents trustworthy at enterprise scale. Build governance and evaluation capabilities that help workspace administrators discover, test, approve, configure, and manage agents without making them harder for employees to use. Product questions include how to compare agent versions, diagnose regressions, manage permissions, and introduce control at scale without slowing down experimentation.
Organizing the work agents produce. Develop Library, the system that brings attachments, generated outputs, and connected knowledge together across Langdock. Help people and agents find the right context, understand where information came from, reuse previous work, and preserve permissions as content moves through the platform.
Automating long-running work. Extend Workflows, where agents call tools, pause for human input, produce structured outputs, retry safely, and continue across business processes. Build the interfaces that let users compose these workflows, understand their current state, intervene when necessary, and diagnose what happened when a run fails.
Bringing Langdock into existing workflows. Build Excel and Outlook integrations that make AI useful inside the tools where people already work. This requires understanding how customers work with spreadsheets and email, choosing the right context and actions, and delivering a reliable experience within the APIs, permissions, and interface constraints of another product.
You will start in one area based on your experience and the team's priorities, then stay close to its users and own the outcome in production.
TypeScript, React, Next.js, and Tailwind CSS in one Bazel monorepo
React Native and Expo for mobile
Node.js services and workers
PostgreSQL with Prisma; Redis with BullMQ
Our own AI engine across OpenAI, Anthropic, Google, Mistral, Bedrock, Azure, and open-source models
Linear for planning and GitHub for code review
You should be familiar with most of this. We trust you to pick up the rest quickly.
We operate with high trust and autonomy in squads of 3 to 4 engineers. A squad owns its roadmap, prioritization, technical decisions, and operation in production. Engineers are expected to find the context they need, ask for input when it improves the outcome, and move work forward without waiting for every next step to be assigned.
We align asynchronously before scheduling a meeting. Product requirement documents (PRDs) define the user problem, intended outcome, and constraints. Design documents make architectural boundaries, tradeoffs, failure modes, migrations, and rollouts explicit. People read and challenge the thinking asynchronously; once the context is shared, a short in-office discussion or whiteboard session usually resolves the remaining questions quickly.
We optimize for leverage. Engineers choose the AI tools that work for them, supported by clear ticket context, focused branches, automated tests, and AI review before human review. We also invest in observability, migration tooling, automated recovery, and runbooks so recurring product maintenance does not depend on someone remembering a manual step.
The engineer who ships a change owns it in production. If something breaks, you lead the fix.
You have several years of experience, typically 3 to 6, building and shipping full-stack product software across TypeScript, React, Node.js, databases, and queues. You can explain what changed for users or the business because of work you personally owned.
You are curious about how customers actually work. You investigate beyond the initial request, test assumptions, distinguish an important need from a feature request, and develop a point of view about the right solution.
Given an underspecified problem, you identify what matters, decide what to cut, and find simple, non-obvious ways to move from ambiguity to shipped software. You can explain what you deliberately chose not to build and why.
You understand the practical behavior of large language models, including context windows, tool calling, streaming, provider differences, and failure modes. You use AI tools to explore approaches and multiply your output while remaining responsible for every change that ships.
You care about the people around you. You share context, ask for input, disagree directly and respectfully, and help other engineers produce better work.
This is an experienced individual-contributor role. You should be able to independently investigate an unfamiliar problem, design a solution, ship it, and operate it in production. We generally expect this judgment to come from at least three to four six of full-time experience working on production systems.
This is an in-office role at Greifswalder Strasse 212 in Berlin. We work together in person because it helps us build trust, develop shared context, and make decisions quickly.
Most engineers start around 8:30. We usually eat lunch together, and dinner is available for people who stay later. Running and gym are part of the routine for many of us.
You need an existing right to work in Germany. We do not currently sponsor visas.
The salary range for this role is €90,000–€140,000 gross per year, depending on level and scope. All roles include equity. Salaries are tied to levels, not negotiation.
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.
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.
We’re hiring a hands-on Security Lead to strengthen the security of Langdock’s product, infrastructure, and internal systems.
Your primary focus will be application and infrastructure security. You’ll work closely with our CTO and engineering teams to identify risks, assess our defenses, and drive practical improvements. You’ll coordinate penetration tests, triage incoming vulnerability reports, and make sure findings turn into lasting fixes. You should be comfortable getting into technical details, challenging assumptions, and helping engineers choose the right controls.
You’ll also own the security of our internal IT environment, including identity, access, and device security. We’re looking for someone who builds reliable, automated processes and can judge whether our protections are effective.
Alongside this technical work, you’ll help explain our security posture to customers and support our compliance efforts. The foundation of this role is making Langdock secure; audits and customer assessments should reflect that work.
The role's responsibility will span over multiple fields, which are:
Coordinate penetration tests end to end. Define scope with engineering and external testing partners, support testing, assess findings, and follow remediation through to verification.
Own vulnerability intake and triage. Monitor our security inbox and responsible disclosure program, assess reported issues, and work with engineering to prioritize and resolve them.
Help engineering build securely. Review security-sensitive designs and changes, identify weaknesses in areas such as authentication, authorization, and data isolation, and recommend practical improvements.
Assess and improve our security posture. Work with engineering to evaluate how our production infrastructure and internal systems are protected, identify gaps, and drive improvements.
Strengthen network and access controls. Review network separation, service exposure, privileged access, and permissions so systems and data are accessible only where needed.
Verify that controls work in practice. Look beyond configuration checklists to understand how systems could be compromised and whether our protections would prevent or detect it.
Own identity and device security. Ensure we have effective MFA, appropriate access policies, and properly managed, encrypted, and patched devices.
Automate the employee lifecycle. Build dependable processes for account provisioning, access changes, offboarding, and access reviews across Entra ID and our internal tools.
Keep recurring work manageable. Use scripts, integrations, and AI tooling to automate security operations and surface issues that need attention.
Support customer security assessments. Help answer questionnaires and join customer conversations that require a clear, technically credible explanation of our security controls.
Contribute to our compliance programs. Support our ISO 27001 and SOC 2 Type II work through effective controls, current evidence, and technical input into audits and risk assessments.
Hands-on application and infrastructure security experience. You understand how modern SaaS applications and cloud environments are built, where they can fail, and how to protect them.
Technical depth and sound judgment. You can investigate a vulnerability, assess its practical impact, discuss remediation with engineers, and distinguish urgent risks from lower-priority findings.
Experience taking findings through to resolution. You’ve worked with penetration testers or vulnerability disclosure programs and helped teams turn reports into verified fixes.
Confidence with identity and endpoint security. You’re comfortable configuring identity providers, MFA, access policies, and device management, and automating the processes around them.
An automation mindset. You build scripts, workflows, and integrations to reduce recurring work, and use AI tooling thoughtfully to increase your effectiveness.
Clear communication. You can explain technical risks and controls to engineers, colleagues, and customers. German is a plus, but not a requirement.
Pragmatism. You prioritize meaningful risk reduction and choose controls that teams can realistically implement and maintain.
Experience with ISO 27001, SOC 2, and customer security assessments is valuable. Your strongest skill set should be in technical security.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
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.
You will take Langdock from first conversation to signed contract. Our customers are IT leaders, security teams, and C-Level executives at mid to large companies worldwide. This role is pivotal in driving our expansion across diverse customer segments, from innovative scale-ups and SMBs to established Global Fortune 500 clients.
You'll operate as a trusted technology and AI advisor, combining full ownership of the sales cycle with the technical depth to build real credibility with today's technical buyers - the IT leads, architects, and engineers who now sit at the table alongside business executives in every AI decision. The product sells well, but enterprise deals require someone who can navigate architectural complexity, build trust with both business and technical stakeholders, and close.
Full-Cycle Sales Mastery: Own the entire sales lifecycle from lead qualification to closing, running technical discovery, solution scoping, and executive presentations that tie Langdock's platform to measurable business outcomes - with a seamless handover to customer success.
Technical Credibility: Lead early-stage conversations on APIs, integrations, and system architecture directly with IT and engineering stakeholders, translating what Langdock can do at the platform level into business value for economic buyers - without leaning on a Solutions Engineer to carry the technical thread.
Customer Success Advocacy: Build a deep understanding of customers' business models, decision-making processes, and technology landscapes, and continuously analyze customer needs to enhance their success with our solutions.
Strategic Revenue Development: Collaborate with partnerships, marketing, and customer success to design effective go-to-market strategies, test new markets and customer segments, and explore new revenue sources for future growth.
Market Insight: Deep understanding of our Ideal Customer Profiles (ICPs) and the ability to align solutions with their needs - and provide customer feedback to Product and Leadership to influence the roadmap.
You are proficient in AI technologies, with a preference for those who have previously sold AI solutions. In the best case, you have worked as a Sales Engineer or in similar positions.
You have experience selling technical solutions to medium and large companies, with the ability to translate complex platform concepts into business value for non-technical executives. You're comfortable managing complex, multi-stakeholder deal cycles by developing and executing account strategies that carry significant quota.
You know how to build deep, strategic relationships with senior stakeholders, including C-suite executives, while staying credible with the technical evaluators in the room.
You're curious and customer-centric, with a talent for understanding customers' challenges and coordinating solution design tailored to their needs.
You're comfortable operating in a high-growth environment.
You are a kind person who cares about the people around you.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
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.
You will take Langdock from first conversation to signed contract. Our customers are IT leaders, security teams, and C-Level executives at mid to large companies worldwide. This role is pivotal in driving our expansion across diverse customer segments, from innovative scale-ups and SMBs to established Global Fortune 500 clients.
You'll operate as a trusted technology and AI advisor, combining full ownership of the sales cycle with the technical depth to build real credibility with today's technical buyers - the IT leads, architects, and engineers who now sit at the table alongside business executives in every AI decision. The product sells well, but enterprise deals require someone who can navigate architectural complexity, build trust with both business and technical stakeholders, and close.
Full-Cycle Sales Mastery: Own the entire sales lifecycle from lead qualification to closing, running technical discovery, solution scoping, and executive presentations that tie Langdock's platform to measurable business outcomes - with a seamless handover to customer success.
Technical Credibility: Lead early-stage conversations on APIs, integrations, and system architecture directly with IT and engineering stakeholders, translating what Langdock can do at the platform level into business value for economic buyers - without leaning on a Solutions Engineer to carry the technical thread.
Customer Success Advocacy: Build a deep understanding of customers' business models, decision-making processes, and technology landscapes, and continuously analyze customer needs to enhance their success with our solutions.
Strategic Revenue Development: Collaborate with partnerships, marketing, and customer success to design effective go-to-market strategies, test new markets and customer segments, and explore new revenue sources for future growth.
Market Insight: Deep understanding of our Ideal Customer Profiles (ICPs) and the ability to align solutions with their needs - and provide customer feedback to Product and Leadership to influence the roadmap.
You are proficient in AI technologies, with a preference for those who have previously sold AI solutions. In the best case, you have worked as a Sales Engineer or in similar positions.
You have experience selling technical solutions to medium and large companies, with the ability to translate complex platform concepts into business value for non-technical executives. You're comfortable managing complex, multi-stakeholder deal cycles by developing and executing account strategies that carry significant quota.
You know how to build deep, strategic relationships with senior stakeholders, including C-suite executives, while staying credible with the technical evaluators in the room.
You're curious and customer-centric, with a talent for understanding customers' challenges and coordinating solution design tailored to their needs.
You're comfortable operating in a high-growth environment.
You are a kind person who cares about the people around you.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
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.
You will take Langdock from first conversation to signed contract. Our customers are IT leaders, security teams, and C-Level executives at mid to large companies worldwide. This role is pivotal in driving our expansion across diverse customer segments, from innovative scale-ups and SMBs to established Global Fortune 500 clients.
You'll operate as a trusted technology and AI advisor, combining full ownership of the sales cycle with the technical depth to build real credibility with today's technical buyers - the IT leads, architects, and engineers who now sit at the table alongside business executives in every AI decision. The product sells well, but enterprise deals require someone who can navigate architectural complexity, build trust with both business and technical stakeholders, and close.
Full-Cycle Sales Mastery: Own the entire sales lifecycle from lead qualification to closing, running technical discovery, solution scoping, and executive presentations that tie Langdock's platform to measurable business outcomes - with a seamless handover to customer success.
Technical Credibility: Lead early-stage conversations on APIs, integrations, and system architecture directly with IT and engineering stakeholders, translating what Langdock can do at the platform level into business value for economic buyers - without leaning on a Solutions Engineer to carry the technical thread.
Customer Success Advocacy: Build a deep understanding of customers' business models, decision-making processes, and technology landscapes, and continuously analyze customer needs to enhance their success with our solutions.
Strategic Revenue Development: Collaborate with partnerships, marketing, and customer success to design effective go-to-market strategies, test new markets and customer segments, and explore new revenue sources for future growth.
Market Insight: Deep understanding of our Ideal Customer Profiles (ICPs) and the ability to align solutions with their needs - and provide customer feedback to Product and Leadership to influence the roadmap.
You are proficient in AI technologies, with a preference for those who have previously sold AI solutions. In the best case, you have worked as a Sales Engineer or in similar positions.
You have experience selling technical solutions to medium and large companies, with the ability to translate complex platform concepts into business value for non-technical executives. You're comfortable managing complex, multi-stakeholder deal cycles by developing and executing account strategies that carry significant quota.
You know how to build deep, strategic relationships with senior stakeholders, including C-suite executives, while staying credible with the technical evaluators in the room.
You're curious and customer-centric, with a talent for understanding customers' challenges and coordinating solution design tailored to their needs.
You're comfortable operating in a high-growth environment.
You are a kind person who cares about the people around you.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
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.
You will take Langdock from first conversation to signed contract. Our customers are IT leaders, security teams, and C-Level executives at mid to large companies worldwide. This role is pivotal in driving our expansion across diverse customer segments, from innovative scale-ups and SMBs to established Global Fortune 500 clients.
You'll operate as a trusted technology and AI advisor, combining full ownership of the sales cycle with the technical depth to build real credibility with today's technical buyers - the IT leads, architects, and engineers who now sit at the table alongside business executives in every AI decision. The product sells well, but enterprise deals require someone who can navigate architectural complexity, build trust with both business and technical stakeholders, and close.
Full-Cycle Sales Mastery: Own the entire sales lifecycle from lead qualification to closing, running technical discovery, solution scoping, and executive presentations that tie Langdock's platform to measurable business outcomes - with a seamless handover to customer success.
Technical Credibility: Lead early-stage conversations on APIs, integrations, and system architecture directly with IT and engineering stakeholders, translating what Langdock can do at the platform level into business value for economic buyers - without leaning on a Solutions Engineer to carry the technical thread.
Customer Success Advocacy: Build a deep understanding of customers' business models, decision-making processes, and technology landscapes, and continuously analyze customer needs to enhance their success with our solutions.
Strategic Revenue Development: Collaborate with partnerships, marketing, and customer success to design effective go-to-market strategies, test new markets and customer segments, and explore new revenue sources for future growth.
Market Insight: Deep understanding of our Ideal Customer Profiles (ICPs) and the ability to align solutions with their needs - and provide customer feedback to Product and Leadership to influence the roadmap.
You are proficient in AI technologies, with a preference for those who have previously sold AI solutions. In the best case, you have worked as a Sales Engineer or in similar positions.
You have experience selling technical solutions to medium and large companies, with the ability to translate complex platform concepts into business value for non-technical executives. You're comfortable managing complex, multi-stakeholder deal cycles by developing and executing account strategies that carry significant quota.
You know how to build deep, strategic relationships with senior stakeholders, including C-suite executives, while staying credible with the technical evaluators in the room.
You're curious and customer-centric, with a talent for understanding customers' challenges and coordinating solution design tailored to their needs.
You're comfortable operating in a high-growth environment.
You are a kind person who cares about the people around you.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
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.
You will take Langdock from first conversation to signed contract. Our customers are IT leaders, security teams, and C-Level executives at mid to large companies worldwide. This role is pivotal in driving our expansion across diverse customer segments, from innovative scale-ups and SMBs to established Global Fortune 500 clients.
You'll operate as a trusted technology and AI advisor, combining full ownership of the sales cycle with the technical depth to build real credibility with today's technical buyers - the IT leads, architects, and engineers who now sit at the table alongside business executives in every AI decision. The product sells well, but enterprise deals require someone who can navigate architectural complexity, build trust with both business and technical stakeholders, and close.
Full-Cycle Sales Mastery: Own the entire sales lifecycle from lead qualification to closing, running technical discovery, solution scoping, and executive presentations that tie Langdock's platform to measurable business outcomes - with a seamless handover to customer success.
Technical Credibility: Lead early-stage conversations on APIs, integrations, and system architecture directly with IT and engineering stakeholders, translating what Langdock can do at the platform level into business value for economic buyers - without leaning on a Solutions Engineer to carry the technical thread.
Customer Success Advocacy: Build a deep understanding of customers' business models, decision-making processes, and technology landscapes, and continuously analyze customer needs to enhance their success with our solutions.
Strategic Revenue Development: Collaborate with partnerships, marketing, and customer success to design effective go-to-market strategies, test new markets and customer segments, and explore new revenue sources for future growth.
Market Insight: Deep understanding of our Ideal Customer Profiles (ICPs) and the ability to align solutions with their needs - and provide customer feedback to Product and Leadership to influence the roadmap.
You are proficient in AI technologies, with a preference for those who have previously sold AI solutions. In the best case, you have worked as a Sales Engineer or in similar positions.
You have experience selling technical solutions to medium and large companies, with the ability to translate complex platform concepts into business value for non-technical executives. You're comfortable managing complex, multi-stakeholder deal cycles by developing and executing account strategies that carry significant quota.
You know how to build deep, strategic relationships with senior stakeholders, including C-suite executives, while staying credible with the technical evaluators in the room.
You're curious and customer-centric, with a talent for understanding customers' challenges and coordinating solution design tailored to their needs.
You're comfortable operating in a high-growth environment.
You are a kind person who cares about the people around you.
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.
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.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
Langdock is the AI platform used by more than 10,000 companies to give employees secure access to leading AI models, build agents, and automate workflows. We have grown past $40M ARR while remaining a small team. We’re building the AI platform for European enterprises while preserving their control over data, model providers, and deployment environments.
As a Systems Software Engineer, you build the foundations behind our agent execution, model serving, and shared services. You investigate how systems behave under load and failure, then write the software that makes them faster, safer, and more reliable.
This role requires deep Linux knowledge and hands-on experience with high-performance computing, distributed systems, or low-latency networking. You should be comfortable following a problem through application code, runtimes, operating-system behavior, and hardware constraints.
You work closely with Platform Engineering: your focus is the underlying execution, isolation, scheduling, and data-handling mechanisms; Platform Engineering owns the surrounding service contracts and long-term lifecycle. You operate what you build and remain accountable for its behavior in production.
The systems agenda includes:
Secure agent execution. Build runtime and isolation mechanisms for untrusted code using Linux, containers, and microVMs. Improve startup, persistent filesystems, network restrictions, suspension, and resumption.
Inference and HPC. Improve model-serving throughput, latency, accelerator utilization, and cost. Measure bottlenecks across serving software, scheduling, caching, memory, and hardware.
Linux performance and resource scheduling. Investigate CPU, memory, filesystem, and network behavior. Improve resource allocation and workload isolation so one customer’s workload cannot degrade another’s.
Distributed execution. Keep concurrent, long-running work correct through retries, crashes, and recovery. Define explicit guarantees for ordering, idempotency, and tenant isolation.
Storage and data systems. Improve how customer and agent-generated data are stored, versioned, moved, and recovered while preserving consistency and predictable performance.
Usage metering. Build accurate accounting for model tokens and compute time despite concurrent reporting, delayed events, duplicate requests, and capacity reservations.
Go and TypeScript in one Bazel monorepo, with implementation choices driven by the system
Linux, containers, microVMs, filesystems, and networking
Protobuf and gRPC for service contracts
Kubernetes across GCP, AWS, Azure, and on-premises deployments
Terraform and Terragrunt for infrastructure orchestration
PostgreSQL and Redis where durable metadata or coordination requires them
Open-source model serving and accelerator infrastructure
You do not need prior experience with every item. You do need enough systems depth to enter an unfamiliar part of the stack, understand its behavior, and make consequential changes safely.
We operate with high trust and autonomy in squads of 3 to 4 engineers. A squad owns its roadmap, prioritization, technical decisions, and operation in production. Engineers are expected to find the context they need, ask for input when it improves the outcome, and move work forward without waiting for every next step to be assigned.
We align asynchronously before scheduling a meeting. Product requirement documents (PRDs) define the user problem, intended outcome, and constraints. Design documents make architectural boundaries, tradeoffs, failure modes, migrations, and rollouts explicit. People read and challenge the thinking asynchronously; once the context is shared, a short in-office discussion or whiteboard session usually resolves the remaining questions quickly.
We optimize for leverage. Engineers choose the AI tools that work for them, supported by clear ticket context, focused branches, automated tests, and AI review before human review. We also invest in observability, migration tooling, automated recovery, and runbooks so recurring product maintenance does not depend on someone remembering a manual step.
The engineer who ships a change owns it in production. If something breaks, you lead the fix.
Has built systems software. You have personally designed and implemented difficult production systems in areas such as networking, storage, runtimes, databases, distributed computing, or inference.
Understands Linux deeply. You can reason about processes, scheduling, virtual memory, I/O, networking, and isolation, and investigate behavior down to the kernel when needed.
Measures before optimizing. You form hypotheses, use profiling and tracing, and can explain both the bottleneck and the measured effect of your changes.
Reasons carefully about failure. You understand concurrency, recovery, resource contention, and the tradeoffs between performance, reliability, and complexity.
Follows technical curiosity. You investigate unfamiliar systems independently and want to understand why they behave as they do.
Communicates clearly and takes ownership. You explain tradeoffs, make uncertainty visible, ship changes, and operate them in production.
Experience with eBPF, RDMA, confidential computing, accelerator infrastructure, or systems-level open-source projects is particularly relevant. You don’t need every specialty.
Your background might include cloud providers, networking companies, database teams, HPC, or trading infrastructure. We value demonstrated engineering depth, including through self-directed work and substantial open-source contributions. This is an experienced individual-contributor role; no particular degree is required.This is an experienced individual-contributor role. You should be able to independently investigate an unfamiliar problem, design a solution, ship it, and operate it in production. We generally expect this judgment to come from at least three to six six of full-time experience working on production systems.
","descriptionPlain":"WHERE EUROPE'S ENTERPRISES ADOPT AI\n\nLangdock is the AI platform used by more than 10,000 companies to give employees secure access to leading AI models, build agents, and automate workflows. We have grown past $40M ARR while remaining a small team. We’re building the AI platform for European enterprises while preserving their control over data, model providers, and deployment environments.\n\nAs a Systems Software Engineer, you build the foundations behind our agent execution, model serving, and shared services. You investigate how systems behave under load and failure, then write the software that makes them faster, safer, and more reliable.\n\nThis role requires deep Linux knowledge and hands-on experience with high-performance computing, distributed systems, or low-latency networking. You should be comfortable following a problem through application code, runtimes, operating-system behavior, and hardware constraints.\n\nYou work closely with Platform Engineering: your focus is the underlying execution, isolation, scheduling, and data-handling mechanisms; Platform Engineering owns the surrounding service contracts and long-term lifecycle. You operate what you build and remain accountable for its behavior in production.\n\n\n\n\n\n\n\n\nWHAT YOU MIGHT WORK ON\n\nThe systems agenda includes:\n\n - Secure agent execution. Build runtime and isolation mechanisms for untrusted code using Linux, containers, and microVMs. Improve startup, persistent filesystems, network restrictions, suspension, and resumption.\n\n - Inference and HPC. Improve model-serving throughput, latency, accelerator utilization, and cost. Measure bottlenecks across serving software, scheduling, caching, memory, and hardware.\n\n - Linux performance and resource scheduling. Investigate CPU, memory, filesystem, and network behavior. Improve resource allocation and workload isolation so one customer’s workload cannot degrade another’s.\n\n - Distributed execution. Keep concurrent, long-running work correct through retries, crashes, and recovery. Define explicit guarantees for ordering, idempotency, and tenant isolation.\n\n - Storage and data systems. Improve how customer and agent-generated data are stored, versioned, moved, and recovered while preserving consistency and predictable performance.\n\n - Usage metering. Build accurate accounting for model tokens and compute time despite concurrent reporting, delayed events, duplicate requests, and capacity reservations.\n\n\n\n\nTECH STACK\n\n - Go and TypeScript in one Bazel monorepo, with implementation choices driven by the system\n\n - Linux, containers, microVMs, filesystems, and networking\n\n - Protobuf and gRPC for service contracts\n\n - Kubernetes across GCP, AWS, Azure, and on-premises deployments\n\n - Terraform and Terragrunt for infrastructure orchestration\n\n - PostgreSQL and Redis where durable metadata or coordination requires them\n\n - Open-source model serving and accelerator infrastructure\n\nYou do not need prior experience with every item. You do need enough systems depth to enter an unfamiliar part of the stack, understand its behavior, and make consequential changes safely.\n\n\n\n\nHOW WE WORK\n\n - We operate with high trust and autonomy in squads of 3 to 4 engineers. A squad owns its roadmap, prioritization, technical decisions, and operation in production. Engineers are expected to find the context they need, ask for input when it improves the outcome, and move work forward without waiting for every next step to be assigned.\n\n - We align asynchronously before scheduling a meeting. Product requirement documents (PRDs) define the user problem, intended outcome, and constraints. Design documents make architectural boundaries, tradeoffs, failure modes, migrations, and rollouts explicit. People read and challenge the thinking asynchronously; once the context is shared, a short in-office discussion or whiteboard session usually resolves the remaining questions quickly.\n\n - We optimize for leverage. Engineers choose the AI tools that work for them, supported by clear ticket context, focused branches, automated tests, and AI review before human review. We also invest in observability, migration tooling, automated recovery, and runbooks so recurring product maintenance does not depend on someone remembering a manual step.\n\n - The engineer who ships a change owns it in production. If something breaks, you lead the fix.\n\n\n\n\nWE’RE LOOKING FOR SOMEONE WHO\n\n - Has built systems software. You have personally designed and implemented difficult production systems in areas such as networking, storage, runtimes, databases, distributed computing, or inference.\n\n - Understands Linux deeply. You can reason about processes, scheduling, virtual memory, I/O, networking, and isolation, and investigate behavior down to the kernel when needed.\n\n - Measures before optimizing. You form hypotheses, use profiling and tracing, and can explain both the bottleneck and the measured effect of your changes.\n\n - Reasons carefully about failure. You understand concurrency, recovery, resource contention, and the tradeoffs between performance, reliability, and complexity.\n\n - Follows technical curiosity. You investigate unfamiliar systems independently and want to understand why they behave as they do.\n\n - Communicates clearly and takes ownership. You explain tradeoffs, make uncertainty visible, ship changes, and operate them in production.\n\n - Experience with eBPF, RDMA, confidential computing, accelerator infrastructure, or systems-level open-source projects is particularly relevant. You don’t need every specialty.\n \n\nYour background might include cloud providers, networking companies, database teams, HPC, or trading infrastructure. We value demonstrated engineering depth, including through self-directed work and substantial open-source contributions. This is an experienced individual-contributor role; no particular degree is required.This is an experienced individual-contributor role. You should be able to independently investigate an unfamiliar problem, design a solution, ship it, and operate it in production. We generally expect this judgment to come from at least three to six six of full-time experience working on production systems.\n\n"},{"id":"e92df507-d2cc-4cfa-8a3e-ce59b767771e","title":"(Senior) Platform Engineer - m/f/d","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"Berlin","secondaryLocations":[],"publishedAt":"2026-08-09T17:13:56.837+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"Germany"}},"jobUrl":"https://jobs.ashbyhq.com/langdock/e92df507-d2cc-4cfa-8a3e-ce59b767771e","applyUrl":"https://jobs.ashbyhq.com/langdock/e92df507-d2cc-4cfa-8a3e-ce59b767771e/application","descriptionHtml":"Langdock is the AI platform used by more than 10,000 companies to give employees secure access to the leading AI models, to build and share agents and to automate repetitive workflows. We have grown past $40M ARR while remaining a small team, and we care deeply about operating efficiently across the entire company.
For many enterprises, Langdock is becoming the place where most of the net-new work is produced. As people and agents create more documents, analyses, decisions, and automations inside AI interfaces, the context and data behind that work accumulate within Langdock. This gives us the opportunity to earn a larger role in their technology stack by building a platform they choose to rely on.
Our ambition is to build that platform for European enterprises while preserving their control over data, model providers, and deployment environments. We have made meaningful progress at the application layer, but much of the foundation beneath it still needs to be built.
You can watch the Meet the engineering team video to get a feeling for how we work.
Platform Engineers own the shared capabilities that Langdock's products are built on. They treat these capabilities as internal products: defining the interfaces other teams build against and remaining accountable for their reliability, evolution, and operation over time.
The work is to turn complex capabilities such as model access, agent execution, authorization, queues, integrations, document processing, and sandboxed compute into stable, reusable building blocks. Each capability needs a clear contract and must be able to evolve without forcing coordinated changes across the rest of the product.
You own a service from design through long-term operation. That includes defining its API and failure behavior, planning migrations, implementing and deploying it, making it observable, and responding when it fails in production. When a service requires a new underlying mechanism, you work with Systems Engineers while remaining accountable for the service boundary and lifecycle.
Current platform work includes:
A durable agent runtime. The current engine runs model and tool loops for Chat, Workflows, automations, and subagents, but active execution is still owned by one process. We are separating the runtime from product-specific state and designing durable runs that can wait for approvals or external events, recover after a process dies, and continue without repeating committed tool calls. This also includes deterministic context reconstruction, compaction, and prompt-cache efficiency.
The Model Gateway. We are building one inference boundary for every Langdock product, with a model-agnostic API over managed and customer-provided models. The work includes provider adapters, routing across accounts and regions, rate limits, bounded fallback, streaming safety, usage tracking, and a control plane.
Shared services with explicit contracts. We are moving selected capabilities out of a TypeScript monolith into independently operated services with Protobuf and gRPC contracts inside one Bazel monorepo. Our authorization service, written in Go with embedded SpiceDB, is one example: the migration uses an outbox, shadow comparisons on production traffic, and consistency tokens before it becomes authoritative.
The integration and tool platform. Langdock already connects to external services through REST APIs, Model Context Protocol (MCP), and agent-to-agent (A2A) communication. The platform work is to make authentication, token refresh, rate limits, approvals, outbound network safety, and tool execution consistent across these paths.
Code execution as a shared service. Langdock already runs untrusted JavaScript, Bash, and Python through separate execution environments. Platform work includes defining a consistent execution API, lifecycle, permission model, resource budgets, and operational boundary, while partnering with Systems Engineers on the underlying isolation and scheduling mechanisms.
Production confidence for shared systems. Platform changes need evidence before rollout. Current work includes a reusable load-testing system for HTTP, gRPC, and streaming workloads; structured logging without user content or personally identifiable information (PII); and online database changes for PostgreSQL tables measured in hundreds of gigabytes or terabytes.
You will start in one area based on your experience and the team's priorities, then own its interface and operation in production.
TypeScript and a growing set of Go services in one Bazel monorepo
Next.js, React, and Tailwind on the front end
Node.js services and workers on the back end
PostgreSQL with Prisma; Redis with BullMQ
Protobuf and gRPC for service contracts
Kubernetes across GCP, AWS, Azure, and on-premises deployments
Terraform and Terragrunt for infrastructure orchestration
Datadog and Sentry for observability
You should be familiar with most of this. We trust you to pick up the rest quickly.
We operate with high trust and autonomy in squads of 3 to 4 engineers. A squad owns its roadmap, prioritization, technical decisions, and operation in production. Engineers are expected to find the context they need, ask for input when it improves the outcome, and move work forward without waiting for every next step to be assigned.
We align asynchronously before scheduling a meeting. Product requirement documents (PRDs) define the user problem, intended outcome, and constraints. Design documents make architectural boundaries, tradeoffs, failure modes, migrations, and rollouts explicit. People read and challenge the thinking asynchronously; once the context is shared, a short in-office discussion or whiteboard session usually resolves the remaining questions quickly.
We optimize for leverage. Engineers choose the AI tools that work for them, supported by clear ticket context, focused branches, automated tests, and AI review before human review. We also invest in observability, migration tooling, automated recovery, and runbooks so recurring product maintenance does not depend on someone remembering a manual step.
The engineer who ships a change owns it in production. If something breaks, you lead the fix.
You have several years of experience, typically 3 to 6, building and operating backend systems under real load. You are strong in TypeScript and Node.js and comfortable with Kubernetes, Terraform, networking, databases, and queues. Experience with Go is useful; willingness to work in it matters more.
You have strong platform design judgment and approach foundational work with diligence. You can define stable service boundaries and APIs while accounting for data integrity, tenant isolation, backward compatibility, partial failure, and safe rollout.
Given an underspecified systems problem, you identify the most important invariant, decide where to go deep, and defend what you deliberately leave out. You investigate unfamiliar components and failure modes until you understand the underlying mechanism.
You treat deployment as the start of ownership. You make systems observable, respond when they fail, and turn incidents into lasting improvements while moving with calm urgency and maintaining a high standard.
You use AI tools to multiply your output while remaining responsible for the architecture and every change that ships. You share context, ask for input, disagree directly and respectfully, and help other engineers succeed.
This is an experienced individual-contributor role. You should be able to independently investigate an unfamiliar problem, design a solution, ship it, and operate it in production. We generally expect this judgment to come from at least three to six years of full-time experience working on production systems.
This is an in-office role at Greifswalder Strasse 212 in Berlin. We work together in person because it helps us build trust, develop shared context, and make decisions quickly.
Most engineers start around 8:30. We usually eat lunch together, and dinner is available for people who stay later. Running and gym are part of the routine for many of us.
You need an existing right to work in Germany. We do not currently sponsor visas.
The salary range for this role is €90,000–€140,000 gross per year. 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. Salaries are tied to levels, not negotiation.
","descriptionPlain":"WHERE EUROPE'S ENTERPRISES ADOPT AI\n\nLangdock is the AI platform used by more than 10,000 companies to give employees secure access to the leading AI models, to build and share agents and to automate repetitive workflows. We have grown past $40M ARR while remaining a small team, and we care deeply about operating efficiently across the entire company.\n\nFor many enterprises, Langdock is becoming the place where most of the net-new work is produced. As people and agents create more documents, analyses, decisions, and automations inside AI interfaces, the context and data behind that work accumulate within Langdock. This gives us the opportunity to earn a larger role in their technology stack by building a platform they choose to rely on.\n\nOur ambition is to build that platform for European enterprises while preserving their control over data, model providers, and deployment environments. We have made meaningful progress at the application layer, but much of the foundation beneath it still needs to be built.\n\nYou can watch the Meet the engineering team video to get a feeling for how we work.\n\n\n\n\n\n\n\n\nTHE ROLE\n\nPlatform Engineers own the shared capabilities that Langdock's products are built on. They treat these capabilities as internal products: defining the interfaces other teams build against and remaining accountable for their reliability, evolution, and operation over time.\n\nThe work is to turn complex capabilities such as model access, agent execution, authorization, queues, integrations, document processing, and sandboxed compute into stable, reusable building blocks. Each capability needs a clear contract and must be able to evolve without forcing coordinated changes across the rest of the product.\n\nYou own a service from design through long-term operation. That includes defining its API and failure behavior, planning migrations, implementing and deploying it, making it observable, and responding when it fails in production. When a service requires a new underlying mechanism, you work with Systems Engineers while remaining accountable for the service boundary and lifecycle.\n\n\n\n\nWHAT YOU MIGHT WORK ON\n\nCurrent platform work includes:\n\n - A durable agent runtime. The current engine runs model and tool loops for Chat, Workflows, automations, and subagents, but active execution is still owned by one process. We are separating the runtime from product-specific state and designing durable runs that can wait for approvals or external events, recover after a process dies, and continue without repeating committed tool calls. This also includes deterministic context reconstruction, compaction, and prompt-cache efficiency.\n\n - The Model Gateway. We are building one inference boundary for every Langdock product, with a model-agnostic API over managed and customer-provided models. The work includes provider adapters, routing across accounts and regions, rate limits, bounded fallback, streaming safety, usage tracking, and a control plane.\n\n - Shared services with explicit contracts. We are moving selected capabilities out of a TypeScript monolith into independently operated services with Protobuf and gRPC contracts inside one Bazel monorepo. Our authorization service, written in Go with embedded SpiceDB, is one example: the migration uses an outbox, shadow comparisons on production traffic, and consistency tokens before it becomes authoritative.\n\n - The integration and tool platform. Langdock already connects to external services through REST APIs, Model Context Protocol (MCP), and agent-to-agent (A2A) communication. The platform work is to make authentication, token refresh, rate limits, approvals, outbound network safety, and tool execution consistent across these paths.\n\n - Code execution as a shared service. Langdock already runs untrusted JavaScript, Bash, and Python through separate execution environments. Platform work includes defining a consistent execution API, lifecycle, permission model, resource budgets, and operational boundary, while partnering with Systems Engineers on the underlying isolation and scheduling mechanisms.\n\n - Production confidence for shared systems. Platform changes need evidence before rollout. Current work includes a reusable load-testing system for HTTP, gRPC, and streaming workloads; structured logging without user content or personally identifiable information (PII); and online database changes for PostgreSQL tables measured in hundreds of gigabytes or terabytes.\n\nYou will start in one area based on your experience and the team's priorities, then own its interface and operation in production.\n\n\n\n\nTECH STACK\n\n - TypeScript and a growing set of Go services in one Bazel monorepo\n\n - Next.js, React, and Tailwind on the front end\n\n - Node.js services and workers on the back end\n\n - PostgreSQL with Prisma; Redis with BullMQ\n\n - Protobuf and gRPC for service contracts\n\n - Kubernetes across GCP, AWS, Azure, and on-premises deployments\n\n - Terraform and Terragrunt for infrastructure orchestration\n\n - Datadog and Sentry for observability\n\nYou should be familiar with most of this. We trust you to pick up the rest quickly.\n\n\n\n\nHOW WE WORK\n\n - We operate with high trust and autonomy in squads of 3 to 4 engineers. A squad owns its roadmap, prioritization, technical decisions, and operation in production. Engineers are expected to find the context they need, ask for input when it improves the outcome, and move work forward without waiting for every next step to be assigned.\n\n - We align asynchronously before scheduling a meeting. Product requirement documents (PRDs) define the user problem, intended outcome, and constraints. Design documents make architectural boundaries, tradeoffs, failure modes, migrations, and rollouts explicit. People read and challenge the thinking asynchronously; once the context is shared, a short in-office discussion or whiteboard session usually resolves the remaining questions quickly.\n\n - We optimize for leverage. Engineers choose the AI tools that work for them, supported by clear ticket context, focused branches, automated tests, and AI review before human review. We also invest in observability, migration tooling, automated recovery, and runbooks so recurring product maintenance does not depend on someone remembering a manual step.\n\n - The engineer who ships a change owns it in production. If something breaks, you lead the fix.\n\n \n\n\nWHAT WE ARE LOOKING FOR\n\n - You have several years of experience, typically 3 to 6, building and operating backend systems under real load. You are strong in TypeScript and Node.js and comfortable with Kubernetes, Terraform, networking, databases, and queues. Experience with Go is useful; willingness to work in it matters more.\n\n - You have strong platform design judgment and approach foundational work with diligence. You can define stable service boundaries and APIs while accounting for data integrity, tenant isolation, backward compatibility, partial failure, and safe rollout.\n\n - Given an underspecified systems problem, you identify the most important invariant, decide where to go deep, and defend what you deliberately leave out. You investigate unfamiliar components and failure modes until you understand the underlying mechanism.\n\n - You treat deployment as the start of ownership. You make systems observable, respond when they fail, and turn incidents into lasting improvements while moving with calm urgency and maintaining a high standard.\n\n - You use AI tools to multiply your output while remaining responsible for the architecture and every change that ships. You share context, ask for input, disagree directly and respectfully, and help other engineers succeed.\n\nThis is an experienced individual-contributor role. You should be able to independently investigate an unfamiliar problem, design a solution, ship it, and operate it in production. We generally expect this judgment to come from at least three to six years of full-time experience working on production systems.\n\n \n\n\nWORKING HERE\n\nThis is an in-office role at Greifswalder Strasse 212 in Berlin. We work together in person because it helps us build trust, develop shared context, and make decisions quickly.\n\nMost engineers start around 8:30. We usually eat lunch together, and dinner is available for people who stay later. Running and gym are part of the routine for many of us.\n\nYou need an existing right to work in Germany. We do not currently sponsor visas.\n\n\n\n\nCOMPENSATION\n\nThe salary range for this role is €90,000–€140,000 gross per year. All roles include equity.\n\nWe 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. Salaries are tied to levels, not negotiation."},{"id":"ea3d8279-71a9-4437-aa35-adb37fbe5a68","title":"Legal Counsel - m/f/d","department":"Business","team":"Business","employmentType":"FullTime","location":"Berlin","secondaryLocations":[],"publishedAt":"2026-09-24T15:25:19.704+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"Germany"}},"jobUrl":"https://jobs.ashbyhq.com/langdock/ea3d8279-71a9-4437-aa35-adb37fbe5a68","applyUrl":"https://jobs.ashbyhq.com/langdock/ea3d8279-71a9-4437-aa35-adb37fbe5a68/application","descriptionHtml":"Langdock SE brings all leading AI models into one secure platform, helping teams find answers, analyze documents and automate workflows. Over 10,000 companies use Langdock, from fast-growing startups to some of Europe’s largest enterprises. We bridge the gap between what AI can do and how people actually use it at work. We’ve grown from €1M to €50M+ ARR and are profitable, with plenty left to build.
Legal helps make that growth possible. Our customers include some of Europe’s largest and most regulated companies. The commitments we make about data, AI and control need to hold up in our contracts and our product.
As Legal Counsel, you’ll own matters end to end, help get enterprise deals signed, and build better ways to do legal work with AI.
Own enterprise negotiations. Take SaaS agreements, DPAs, security and AI terms, and DORA addenda from first conversation to signature.
Turn regulation into practical decisions. Translate the AI Act, DORA, NIS2 and the Data Act into guidance for our product and business.
Shape new infrastructure and services. Work on contracts for our data center and cloud offering, from power and hardware to customer terms.
Keep the company running. Advise on employment and corporate matters, own our data protection program, and support ISO 27001 and SOC 2 compliance.
Build with AI. Create agents, playbooks and automations that improve how legal works. Use Langdock daily and give feedback directly to Product.
Strong legal foundations. You’re a qualified lawyer with 2+ years’ experience at, or advising, a technology company, including enterprise SaaS agreements and DPAs.
Technical understanding. You understand how software products work and can discuss data flows, APIs and integrations with technical teams. You ask questions until you understand what’s happening behind the contract.
The ambition to become an AI expert. You want to understand what AI can do, where it falls short and how to use it well. You’re eager to experiment and build expertise through hands-on work.
Practical judgment. You write clearly, make reasoned recommendations and know which risks need to stop a deal or change a product decision.
Fluent German and English, and a kind, collaborative approach.
We’re a small, ambitious team with low egos, broad ownership and short feedback loops. You’ll have room to shape the legal function and grow with it.
We work together in our Berlin office at Greifswalder Straße 212. The atmosphere is calm but intense: we work hard, enjoy working together, and provide lunch and dinner in the office.
Salaries are transparent and tied to levels; all roles include equity. We’ll discuss your level and expected salary range early in the process.
Most hiring processes take around two weeks, including a case study based on real legal questions we handle. We care about how you think, how deeply you investigate and how quickly you learn.
We’d love to meet you.
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.
Our mission is to bridge the gap between technology and adoption. We build a secure, model-agnostic AI platform that helps companies put AI to work across their entire organization. From chat and agents to integrations, workflows, and our API, we give teams the tools to augment and automate their work.
We apply the same ambition internally. We want to be the most productive company in the world, and that means continuously improving how we work, not simply adding more people to existing processes.
Build the systems that help Langdock grow as a GTM Engineer in Berlin. You combine commercial judgment with technical curiosity: you understand what creates pipeline, what helps a deal move forward, and what is worth automating.
While you’ll be sitting in the Sales & Partnerships team, you’ll also work closely with, Marketing, Customer Success and Revenue Operations to find bottlenecks and turn them into working solutions. That might mean identifying companies ready for an AI rollout, helping sales act on product usage signals, or removing hours of manual account research. You’ll own the work from the first hypothesis to a live workflow and its measurable impact.
This is a builder role, not a CRM administration role. You won’t wait for a perfectly scoped ticket. You’ll spend time with the team, understand the problem, ship a first version, and improve it based on what actually happens.
You’ll also use Langdock to grow Langdock: building agents and workflows for our own GTM team and feeding what you learn back into the product.
Build systems that create qualified pipeline. Combine account data, buying signals, and AI research to identify relevant companies, prioritize the right people, and make outreach timely and useful.
Connect inbound and product signals to action. Build enrichment, qualification, and routing workflows that help the team recognize promising accounts and follow up with the right context.
Give sellers more time with customers. Automate account preparation, meeting follow-ups, CRM updates, and handovers. Keep human judgment where it matters and remove repetitive work around it.
Support partner-led growth and expansion. Work with Partnerships and Customer Success to identify account overlap, surface expansion opportunities, and make relevant signals actionable.
Build the data foundations your workflows need. Connect our CRM, product data, enrichment sources, and GTM tools through APIs and automation. Make sure the information people act on is accurate and current.
Run experiments and measure results. Start with a clear commercial hypothesis, ship a small version, and evaluate qualified pipeline, conversion, or time saved. Scale what works and stop what doesn’t.
Own what you ship. Test AI outputs, handle failures, respect data privacy, and document your workflows so the team can trust and maintain them. Share product feedback from using Langdock in real GTM processes.
You have built useful automations. You can show us something you created, explain the problem it solved, and talk about what changed as a result. Your background might be in GTM engineering, growth, RevOps, software engineering, or building your own business.
You think commercially. You understand B2B sales funnels and can distinguish a workflow that looks impressive from one that improves pipeline quality, conversion, or team productivity.
You are technically resourceful. You’re comfortable with APIs, webhooks, structured data, and connecting tools. You can use code when needed and debug what you build, including code written with AI assistance.
You work confidently with AI and automation tools. Experience with tools such as Langdock, Clay, n8n, or practical automation tooling is relevant. We care more about your ability to learn and build than a specific set of tool certifications.
You ask good questions and move quickly. You can turn an ambiguous problem into a testable idea without overengineering the first version.
You build for the people using your work. You listen, explain technical decisions clearly, and care whether your workflows are actually adopted.
Meaningful ownership. Shape how we build and run GTM systems, with a direct connection between your work and commercial results.
Build with the product you help grow. Use Langdock’s agents, workflows, integrations, and API on real business problems and bring your learnings back to the team.
An ambitious team in Berlin. Work closely with colleagues who value initiative, fast learning, and reliable execution.
Top-of-market compensation. We reward excellence and take a competitive, transparent approach to compensation.
Free breakfast, lunch and dinner in the office. Freshly prepared meals and time to connect with the team.
Gym access. Access to our shared membership pool at a fitness studio near the office.
Calm urgency. We move fast without chaos. We stay calm, fix what matters, and avoid unnecessary noise. We focus on solutions rather than complaints and make sure sleep, health, and sports keep our decision-making sharp.
Ambitious execution. We love building fast and with ownership. We aim to be the most productive company in the world. Learning, shipping, and improving bring us joy. Everyone is expected to ask questions, take initiative, and deliver reliably.
Caring ownership. We care deeply: about each other, customers, and the world around us. We act with empathy, sincerity, and long-term thinking. And we have fun along the way while spending time in the office together.
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.
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.
When you apply, we’d love to see a workflow, automation, or small tool you’ve built. Tell us what problem it solved, how it works, and what you learned.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.
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.
This is a full-time, 12-month program at our Berlin HQ for people who want to understand AI rather than just use it.
It begins where our product meets the real world: customer support. Many support tickets are a small puzzle about how large language models and cloud software behave in production. Why did the same prompt give two different answers? Why did a long document get cut off? Why is one model fast today and slow tomorrow? Why did an agent call the wrong tool? Why did an API integration time out? You will be the person who works out what is actually going on and explains it clearly.
For most of your first year, the support queue is your home base and your classroom. Few jobs expose you to as many real AI systems, real enterprise environments, and real failure modes, every single day.
The purpose of the year: by month twelve, you should understand our platform and operations deeply, from the chat interface down to the models and infrastructure behind it. A Langdock business team should want to hire you permanently, and you should have found the work that energizes you most.
Customers ask the questions that the rest of the world is still figuring out. To answer them, you will build real intuition for:
How LLMs actually behave: tokens and context windows, sampling and non-determinism, hallucinations, prompt sensitivity, system prompts, and why models from different providers react differently to the same input.
Agents, tools, and retrieval: how agents plan and call tools, how knowledge bases and document search feed context to a model, and where these chains tend to break.
Cloud software in production: APIs, authentication and SSO, rate limits, latency, integrations, multi-tenant enterprise setups, data residency, and access control.
Inference and compute: what happens when a request hits a model, why throughput, latency, and cost trade off against each other, and how running our own inference changes what we can offer customers.
Daily operational tasks: resolving billing issues, reporting bugs and being the point of for our customers.
You do not need to know all of this on day one. You need to be the kind of person who cannot stop asking why until you do.
Onboarding: Learn the platform by supporting it. You go through an intensive onboarding into our products, the underlying models, and the support queue. You shadow your first tickets, get to know our systems, and start resolving real customer issues. Expect plenty of experimenting, plenty of questions, and a steep learning curve.
Post-Onboarding: Own the queue and take on sidequests. Alongside the queue, you start picking up work from other teams: tasks below the threshold for a specialist to own but too valuable for your learning to ignore. This includes taking a sales call for a new lead, running a short customer workshop, building customer use cases, writing internal documentation, building internal agents, and further building out our own AI support tooling. As our inference and cloud offering grows, you will increasingly help customers understand and adopt it.
Front-line customer support. Spend most of your day in the queue, handling customer tickets end-to-end across model behavior, API integrations, enterprise compliance, billing, and access control.
Investigate what is happening under the hood. Reproduce issues, compare model behavior, read logs and API responses, and separate \"the model did something unexpected\" from \"the system did something wrong.\" Then give users clear, empathetic, and accurate answers.
Explain AI to the people who use it. Help customers understand non-determinism, model limits, context handling, latency, and model choice in plain language, so they can use AI with confidence.
Take on cross-team sidequests. Pick up the real work that falls between teams, like a small inbound sales call, a customer workshop, a piece of documentation, or an internal automation. These tasks are small in scope, but you fully own them.
Escalate to engineering and product. Flag recurring user friction, document edge cases with clear reproduction steps, and report bugs directly to the engineers building our platform and infrastructure.
Improve support with AI. Propose practical improvements to our support workflow and build and test the internal AI tooling that helps resolve routine questions faster.
You start on a 12-month fixed-term contract. The program is designed so that strong performance turns into a permanent contract in a business department that suits your strengths: AI Adoption Management, Sales, Partnerships, Marketing, Recruiting, RevOps, Operations, Solutions Engineering, or elsewhere in the Business team.
We are expanding fast in two directions: across the work people do, with chat, agents, meetings, code, and apps; and down the stack, into our own cloud, compute, and inference. Wherever you land, you will bring something rare: a deep, hands-on understanding of how AI and AI infrastructure actually behave for real customers.
We make the decision together based on your performance in the queue, how you handled sidequests, and whether the team you want to join has a role for you. So far, AI Associates have graduated into Account/AI Adoption Management, Sales and Solutions Engineering. We are looking to broaden the program as a gateway into all business functions.
You are fascinated by how AI works. You have gone down rabbit holes on why models behave the way they do, and you want a job where that curiosity is the core of the work.
You want to understand the stack, not just the surface. Cloud software, APIs, and inference interest you, and you are excited to learn how models are served, scaled, and made fast and reliable.
You are genuinely excited about front-line AI support. You take pride in helping customers, write with patience and clarity, and enjoy working through a busy ticket queue.
You think in systems and love analysis. You enjoy breaking down tricky technical or operational problems and figuring out what is really happening under the hood.
You show high agency and full ownership. You see a ticket through from first message to resolution and dig into root causes so the same issues do not keep coming back.
You experiment constantly. You try new models, automations, and tools, and you instinctively look for ways technology can make work easier.
You communicate clearly and professionally in English. German is a plus and useful in the queue.
You are kind and care about the people around you.
Availability to start full-time and work 100% on-site at our Berlin office for the full 12 months.
A work permit for Germany.
Technical or analytical grounding. Studies or hands-on experience in Computer Science, Data Engineering, or a related field, or a track record of building technical projects, is a plus but not a requirement. Curiosity about how AI and cloud systems work is.
You will work from our Berlin office at Greifswalder Straße 212, where all of us work together in person, surrounded by people building AI products and infrastructure every day. Lunch and dinner are catered in the office. We look after ourselves, and gym membership and coaching resources are part of the standard package. We value Calm Urgency, Ambitious Execution, and Caring Ownership. The vibe is calm but intense.
Salaries are transparent and tied to levels, not negotiation. We narrow down the expected salary range early in the process.
We move fast, and most hiring processes finish within two weeks. If you want to spend a year truly understanding AI, from the conversation down to the compute, we would love to hear from you.
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.
Our mission is to bridge the gap between technology and adoption. We build a secure, model-agnostic AI platform that helps companies put AI to work across their entire organisation. From chat and agents to integrations, workflows, and our API, we give teams the tools to augment and automate their work.
We apply the same ambition internally. We want to be the most productive company in the world, and that means continuously improving how we work, not simply adding more people to existing processes.
Thousands of small teams already pay for Langdock. They found us on their own, without any marketing aimed at them and without a single euro spent on ads. We are building a dedicated growth team to turn that into a deliberate engine, and you will be the person who brings those teams in.
You decide where our acquisition time and money go: the website, comparison pages, organic search, paid, partnerships, and whatever we haven't tried yet. You run it yourself, and you're accountable for the results.
This is a builder role. You and our growth engineer decide what to build. You run the experiment, read the data, and decide what to scale or kill.
You'll join a small growth team that reports directly to our co-CEO, Lennard:
a growth engineer who builds the product side of experiments
a growth activation lead who turns new signups into active users
Own the self-serve funnel. From first visit to paying team: the website, signup, pricing, and converting free users into paying ones.
Run experiments. Paid, organic, partnerships, new markets. Set budgets and kill criteria before spending, and judge results.
Write the copy. Landing pages, comparison pages, ad variants, in-product messages. You build drafts for everything you test; our growth engineer translates them into production.
You are a heavy user of AI in your daily work, with opinions on what works and what does not. We are looking for people who are already compounding their output with AI.
You have owned acquisition across channels. You have been accountable for a full acquisition number, and you can talk about the numbers.
You're hands-on, with depth and range. You're an expert in at least one channel, capable across the rest, and happy to do the work yourself.
You are close to the product. You can understand a platform like ours well enough to explain it to small teams, and you work well with engineers.
You are experiments-driven and comfortable with data. Cohorts, CAC and payback are familiar ground, and you pull your own numbers.
You are a kind person who cares about the people around you.
Nice to have: experience at a product-led company that later added enterprise sales, localised go-to-market in European markets.
Localisation is an important part of the job. You have run campaigns in more than one market, and you are comfortable adapting messaging and pages for a new language.
Calm urgency. We move fast without chaos. We stay calm, fix what matters, and avoid unnecessary noise. We focus on solutions rather than complaints and make sure sleep, health, and sports keep our decision-making sharp.
Ambitious execution. We love building fast and with ownership. We aim to be the most productive company in the world. Learning, shipping, and improving bring us joy. Everyone is expected to ask questions, take initiative, and deliver reliably.
Caring ownership. We care deeply: about each other, customers, and the world around us. We act with empathy, sincerity, and long-term thinking. And we have fun along the way while spending time in the office together.
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 and dinner are catered in the office. 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.
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.
We would love to see two short examples: one channel you built or scaled, and one experiment you ran that changed a conversion rate. Tell us what you owned, the numbers, and what you would do differently. That counts for more than your CV.
We move fast. Most processes complete within two weeks.
If this sounds like your kind of work, we would like to meet you.