Enterprise Customer Success Manager - m/f/d

langdock
Berlin

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.

Veröffentlicht am 2026-07-03

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