
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 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.
where AI creates the most impact for each customer.
integrations, and workflows that customers can own and maintain.
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.
hands-on support, and enable power users to build independently.
can share with customers and prospects.
work directly with Product and Engineering to close the gaps.
platform and automate your own workflows.
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.
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.
🎤 WHY VOIZE? BECAUSE WE’RE MORE THAN JUST A JOB! At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people. Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don't replace humans with technology - we amplify their impact. Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload. As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission! 💡 YOUR MISSION: TRANSFORM VOIZE INTO AN AI-NATIVE ORGANISATION As our AI Enablement Engineer, you will define, operationalise, and scale how artificial intelligence is adopted. You build the infrastructure, guardrails, and enablement systems that help every team at voize adopt AI in a way that is safe, reliable, and actually improves work loops. You’ll turn scattered individual hacks into repeatable practices. Your core mission is to transform voize into an AI-first company and enable everyone to become truly AI-native. 🚀 YOUR DAILY BUSINESS - NO TWO DAYS ARE ALIKE If you're energised by being a first-of-its-kind hire and enjoy turning experimentation into durable operating systems, this role is for you. * Build the AI infrastructure: Design and maintain voize's internal AI productivity suite, connecting agents, data, and workflows to enable cross-functional automation and decision-making * Enable and educate: Build AI fluency across the organisation through onboarding sessions, workshops, playbooks, and function-specific best practices * Set guardrails: Establish and enforce standards for AI governance, safe use, data handling, and compliance in partnership with Security and IT * Consult & ship with teams: Partner with teams and leadership to embed AI into workflows, build agents and automations, and translate business needs into prioritised AI initiatives * Drive change: Help people and management completely rethink how companies are run — managing the transition towards an organisation where humans and AI agents work side by side * Turn usage into learning: Analyze tool usage and adoption signals, spot fatigue patterns, and iterate on what actually changes outcomes. * Build the context layer: Help create and maintain an LM-readable context layer with a sensible update process so agents and humans operate on shared truth. 🤝 YOUR SKILLSET - WHAT YOU BRING TO THE TABLE * 5+ years of experience in a fast-paced tech or SaaS environment, with hands-on ownership of cross-functional initiatives including AI or advanced technology adoption * Strong technical fluency in LLM-based systems (prompts, agents, retrieval patterns, embeddings, APIs) and experience designing and integrating AI workflows across tools and data platforms * Engineer mindset - you can build, debug, and ship (not only strategy) along side of tech & non-technical teams. * Proven enablement track record - you've trained and enabled non-technical teams and driven adoption at scale, developing playbooks, learning content, and feedback loops * Entrepreneurial and process-oriented mindset with strong communication skills, sound judgement, and comfort operating in ambiguity * English required; some level of German is a strong plus. * Location: Berlin required. (We’re open to candidates that want to relocate) 🌱 GROWING TOGETHER - WHAT YOU CAN EXPECT AT VOIZE * We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people * We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or work from home. * Become a co-creator of our success with stock options * Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language courses * You decide when you work best, that means flexible working hours and a good hybrid set-up. ✨ READY TO TALK? APPLY NOW! 🚀 We look forward to your application and can't wait to meet you - no matter who you are or what background you have!
🎤 WHY VOIZE? BECAUSE WE’RE MORE THAN JUST A JOB! At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people. Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don't replace humans with technology - we amplify their impact. Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload. As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission! 💡 YOUR MISSION: TRANSFORM VOIZE INTO AN AI-NATIVE ORGANISATION As our AI Enablement Manager, you will define, operationalise, and scale how artificial intelligence is adopted. You build the infrastructure, guardrails, and enablement systems that help every team at voize adopt AI in a way that is safe, reliable, and actually improves work loops. You’ll turn scattered individual hacks into repeatable practices. Your core mission is to transform voize into an AI-first company and enable everyone to become truly AI-native. 🚀 YOUR DAILY BUSINESS - NO TWO DAYS ARE ALIKE If you're energised by being a first-of-its-kind hire and enjoy turning experimentation into durable operating systems, this role is for you. * Build the AI infrastructure: Design and maintain voize's internal AI productivity suite, connecting agents, data, and workflows to enable cross-functional automation and decision-making * Enable and educate: Build AI fluency across the organisation through onboarding sessions, workshops, playbooks, and function-specific best practices * Set guardrails: Establish and enforce standards for AI governance, safe use, data handling, and compliance in partnership with Security and IT * Consult & ship with teams: Partner with teams and leadership to embed AI into workflows, build agents and automations, and translate business needs into prioritised AI initiatives * Drive change: Help people and management completely rethink how companies are run — managing the transition towards an organisation where humans and AI agents work side by side * Turn usage into learning: Analyze tool usage and adoption signals, spot fatigue patterns, and iterate on what actually changes outcomes. * Build the context layer: Help create and maintain an LM-readable context layer with a sensible update process so agents and humans operate on shared truth. 🤝 YOUR SKILLSET - WHAT YOU BRING TO THE TABLE * 5+ years of experience in a fast-paced tech or SaaS environment, with hands-on ownership of cross-functional initiatives including AI or advanced technology adoption * Strong technical fluency in LLM-based systems (prompts, agents, retrieval patterns, embeddings, APIs) and experience designing and integrating AI workflows across tools and data platforms * Engineer mindset - you can build, debug, and ship (not only strategy) along side of tech & non-technical teams. * Proven enablement track record - you've trained and enabled non-technical teams and driven adoption at scale, developing playbooks, learning content, and feedback loops * Entrepreneurial and process-oriented mindset with strong communication skills, sound judgement, and comfort operating in ambiguity * English required; some level of German is a strong plus. * Location: Berlin required. (We’re open to candidates that want to relocate) 🌱 GROWING TOGETHER - WHAT YOU CAN EXPECT AT VOIZE * We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people * We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or work from home. * Become a co-creator of our success with stock options * Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language courses * You decide when you work best, that means flexible working hours and a good hybrid set-up. ✨ READY TO TALK? APPLY NOW! 🚀 We look forward to your application and can't wait to meet you - no matter who you are or what background you have!