
Langdock · Berlin
ABOUT LANGDOCK We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Searc...
We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat,
Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build custom AI use cases. We serve over
7,000 customers, from DAX companies to startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel,
and Personio.
We are model-agnostic, fully GDPR-compliant, and ISO 27001 & SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator.
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 Enterprise AI Adoption Manager, you are the person who guides companies through that shift - as part of our Customer Success
organization, working alongside Solution 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.
deployment scope
customer
risk mitigation
and outcomes
work from your role, not just use AI as a productivity boost
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.
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.
Apply through our application form. We will ask you a few short questions - take your time with them, they matter more than your
CV.
Our process: Application - CV Review - Hiring Manager Interview (30 min, video) - Case Study - On-site Day (team meeting, founder
interview) - Reference Call - Offer.
ABOUT LANGDOCK We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build custom AI use cases. We serve over 7,000 customers, from DAX companies to startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio. We are model-agnostic, fully GDPR-compliant, and ISO 27001 & SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator. ABOUT THE ROLE 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 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 Solution 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. WHAT YOU WILL DO * 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 WHAT WE'RE LOOKING FOR 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. 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. HOW WE WORK * 100% on-site in our Berlin office (Greifswalder Strasse 212) * Small team, high ownership - we expect everyone to manage themselves, find valuable work, and pull others in when needed * We value calm urgency: things break, we stay calm and fix them. No drama, no firefighting culture * We value ambitious execution: learning, shipping, and providing value are big drivers of happiness here * We value caring ownership: we are kind, we care about our customers and each other, and we have fun at work WHAT WE OFFER * Competitive salary with equity participation * Free lunch and dinner, every day in the office * Premium gym access (right around the corner) * Relocation support for those moving to Berlin * A front-row seat to the enterprise AI transformation - working with some of the most ambitious companies in Europe HOW TO APPLY Apply through our application form. We will ask you a few short questions - take your time with them, they matter more than your CV. Our process: Application - CV Review - Hiring Manager Interview (30 min, video) - Case Study - On-site Day (team meeting, founder interview) - Reference Call - Offer.
ABOUT LANGDOCK We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build custom AI use cases. We serve over 7,000 customers, from DAX companies to startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio. We are model-agnostic, fully GDPR-compliant, and ISO 27001 & SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator. ABOUT THE ROLE 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 AI Adoption Engineer in Langdock's Customer Success team, you turn ambition into working solutions. You sit at the intersection of customer, product, and engineering: discovering high-value use cases, scoping them, building them, and making sure they stick. You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own. This is a technical role. You write code. You build MCP servers and custom integrations. You work with agentic coding tools daily. You understand our platform at the code level and you're comfortable operating at the boundary between product and engineering. Everyone at Langdock builds AI agents and workflows to automate their own work. As a AI Adoption Engineer, you set the standard for what that looks like. You work project-based with our most relevant customers: running use case workshops, leading on-site hackathons, building complex agents and integrations, and handing over production-ready solutions. You also serve as the technical expert during Sales conversations, helping prospects understand what's possible and how Langdock fits into their architecture. You work closely with Customer Success to drive adoption, with Product and Engineering to push the platform forward, and with Marketing to create reusable resources that help customers build independently. When you hit a platform limitation, you articulate what needs to change and why, and work with the team to make it happen. WHAT YOU WILL DO * Discover and scope high-value use cases: run AI Use Case Workshops, Department Deep-Dives, and Scoping Sessions to identify where AI creates the most impact for each customer. * Build and deploy solutions: lead On-Site Hackathons, Implementation Sprints, and Architecture Reviews; deliver working agents, integrations, and workflows that customers can own and maintain. * Serve as a technical expert during the Sales process: join sales conversations to answer technical questions, build tailored demos and proof-of-concept environments, evaluate integration architectures, and help prospects understand what Langdock can do for them. You are the person in the room who makes the product feel real for a technical buyer. * Drive use case adoption: make sure customers actually adopt what you build; create documentation, run Office Hours, provide hands-on support, and enable power users to build independently. * Create reusable resources: build templates, documentation, and reference architectures that Account Management and Marketing can share with customers and prospects. * Push the platform forward: identify product limitations blocking high-value use cases, articulate requirements clearly, and work directly with Product and Engineering to close the gaps. * Build your own tools: build MCP servers, develop custom integrations, and use agentic coding tools to build on top of the platform and automate your own workflows. WHAT WE'RE LOOKING FOR You have 3+ years of experience in a technical, customer-facing role - Solutions Engineering, Technical Customer Success, Technical Consulting, or similar - where you both built things and worked directly with customers on a real technical product. You have experience working with enterprise customers on high-impact use cases: scoping projects, managing stakeholders, and delivering outcomes in large organizations where things move slowly, people change roles, and requirements shift. You've also supported the sales side: building demos that close deals, translating a product's capabilities into a prospect's language, and making complex technical products feel tangible. You are comfortable running workshops with senior stakeholders and following up with a sharp scoping document that aligns everyone afterwards. You know how to listen for the real problem behind a feature request. You translate complex technical concepts into language non-technical stakeholders understand, and turn customer needs into concrete, buildable specifications. You understand AI deeply and know how to turn it into working systems. You can judge when an LLM-based approach is the right tool and when it isn't, and you can hold your own in technical conversations with engineering teams. You write production-quality code in JavaScript and Python, and are comfortable with HTML/CSS, APIs, and integration architectures. You can build an MCP server, design a multi-step agent workflow, or debug a customer's integration setup. Agentic coding tools are a core part of how you operate. You are fluent in English (C1+). German is a strong plus, since many of our customers are German-speaking enterprises. Bonus: you come from a technical consulting background, an AI-native company, or an early-stage startup. Experience with enterprise software, developer tools, or platform products is a plus. HOW WE WORK * 100% on-site in our Berlin office (Greifswalder Strasse 212) * Small team, high ownership - we expect everyone to manage themselves, find valuable work, and pull others in when needed * We value calm urgency: things break, we stay calm and fix them. No drama, no firefighting culture * We value ambitious execution: learning, shipping, and providing value are big drivers of happiness here * We value caring ownership: we are kind, we care about our customers and each other, and we have fun at work WHAT WE OFFER * Competitive salary with equity participation * Free lunch and dinner, every day in the office * Premium gym access (right around the corner) * Relocation support for those moving to Berlin * A front-row seat to the enterprise AI transformation - working with some of the most ambitious companies in Europe HOW TO APPLY Apply through our application form. We will ask you a few short questions - take your time with them, they matter more than your CV. Our process: Application - CV Review - Hiring Manager Interview (30 min, video) - Case Study - On-site Day (team meeting, founder interview) - Reference Call - Offer.
ABOUT LANGDOCK We help organizations drive internal AI adoption through our enterprise-ready AI platform. Our product suite includes AI Chat, Assistants, Search, API, and Workflows - enabling companies to roll out AI internally and build custom AI use cases. We serve over 7,000 customers, from DAX companies to startups, including enterprise clients like Merck KGaA, Der Spiegel, GetYourGuide, Babbel, and Personio. We are model-agnostic, fully GDPR-compliant, and ISO 27001 & SOC-2 Type 2 certified. Made in Germany, backed by Y Combinator. ABOUT THE ROLE 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 a Solutions Engineer in Langdock's Customer Success team, you turn ambition into working solutions. You sit at the intersection of customer, product, and engineering: discovering high-value use cases, scoping them, building them, and making sure they stick. You understand a customer's workflows, identify where AI creates real leverage, and deliver solutions they can maintain and scale on their own. This is a technical role. You write code. You build MCP servers and custom integrations. You work with agentic coding tools daily. You understand our platform at the code level and you're comfortable operating at the boundary between product and engineering. Everyone at Langdock builds AI agents and workflows to automate their own work. As a Solutions Engineer, you set the standard for what that looks like. You work project-based with our most relevant customers: running use case workshops, leading on-site hackathons, building complex agents and integrations, and handing over production-ready solutions. You also serve as the technical expert during Sales conversations, helping prospects understand what's possible and how Langdock fits into their architecture. You work closely with Customer Success to drive adoption, with Product and Engineering to push the platform forward, and with Marketing to create reusable resources that help customers build independently. When you hit a platform limitation, you articulate what needs to change and why, and work with the team to make it happen. WHAT YOU WILL DO * Discover and scope high-value use cases: run AI Use Case Workshops, Department Deep-Dives, and Scoping Sessions to identify where AI creates the most impact for each customer. * Build and deploy solutions: lead On-Site Hackathons, Implementation Sprints, and Architecture Reviews; deliver working agents, integrations, and workflows that customers can own and maintain. * Serve as a technical expert during the Sales process: join sales conversations to answer technical questions, build tailored demos and proof-of-concept environments, evaluate integration architectures, and help prospects understand what Langdock can do for them. You are the person in the room who makes the product feel real for a technical buyer. * Drive use case adoption: make sure customers actually adopt what you build; create documentation, run Office Hours, provide hands-on support, and enable power users to build independently. * Create reusable resources: build templates, documentation, and reference architectures that Account Management and Marketing can share with customers and prospects. * Push the platform forward: identify product limitations blocking high-value use cases, articulate requirements clearly, and work directly with Product and Engineering to close the gaps. * Build your own tools: build MCP servers, develop custom integrations, and use agentic coding tools to build on top of the platform and automate your own workflows. WHAT WE'RE LOOKING FOR You have 3+ years of experience in a technical, customer-facing role - Solutions Engineering, Technical Customer Success, Technical Consulting, or similar - where you both built things and worked directly with customers on a real technical product. You have experience working with enterprise customers on high-impact use cases: scoping projects, managing stakeholders, and delivering outcomes in large organizations where things move slowly, people change roles, and requirements shift. You've also supported the sales side: building demos that close deals, translating a product's capabilities into a prospect's language, and making complex technical products feel tangible. You are comfortable running workshops with senior stakeholders and following up with a sharp scoping document that aligns everyone afterwards. You know how to listen for the real problem behind a feature request. You translate complex technical concepts into language non-technical stakeholders understand, and turn customer needs into concrete, buildable specifications. You understand AI deeply and know how to turn it into working systems. You can judge when an LLM-based approach is the right tool and when it isn't, and you can hold your own in technical conversations with engineering teams. You write production-quality code in JavaScript and Python, and are comfortable with HTML/CSS, APIs, and integration architectures. You can build an MCP server, design a multi-step agent workflow, or debug a customer's integration setup. Agentic coding tools are a core part of how you operate. You are fluent in English (C1+). German is a strong plus, since many of our customers are German-speaking enterprises. Bonus: you come from a technical consulting background, an AI-native company, or an early-stage startup. Experience with enterprise software, developer tools, or platform products is a plus. HOW WE WORK * 100% on-site in our Berlin office (Greifswalder Strasse 212) * Small team, high ownership - we expect everyone to manage themselves, find valuable work, and pull others in when needed * We value calm urgency: things break, we stay calm and fix them. No drama, no firefighting culture * We value ambitious execution: learning, shipping, and providing value are big drivers of happiness here * We value caring ownership: we are kind, we care about our customers and each other, and we have fun at work WHAT WE OFFER * Competitive salary with equity participation * Free lunch and dinner, every day in the office * Premium gym access (right around the corner) * Relocation support for those moving to Berlin * A front-row seat to the enterprise AI transformation - working with some of the most ambitious companies in Europe HOW TO APPLY Apply through our application form. We will ask you a few short questions - take your time with them, they matter more than your CV. Our process: Application - CV Review - Hiring Manager Interview (30 min, video) - Case Study - On-site Day (team meeting, founder interview) - Reference Call - Offer.