You are interested in the position as AI Implementation Manager at enneo GmbH?
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Please note that the position is only available to applicants from Germany.
The language requirements for this position are: German - Fluent, English - Fluent.

You are the bridge between our AI and our customers' reality and the main interface between enneo and your dedicated clients. Part strategist, part project lead, part AI whisperer.

As AI Implementation Manager, you own the entire journey from first handshake to live production. You don't just "onboard" customers — you transform how their service operations work. You get deep into their processes, configure our platform to fit their world, and make sure the AI delivers real, measurable impact from day one.

Activities

• Make AI Real for Our Customers: You take our platform out of the demo and into the trenches. You work directly with service leaders, IT teams, and operations managers to understand their pain points, map their processes, and design an implementation that actually works — not in theory, but in their daily chaos of thousands of tickets and calls.
• Own the Implementation End-to-End: From kickoff to go-live and beyond. You configure AI Agents, set up workflows and business logic, train the system on customer-specific knowledge, and iterate until the automation runs like clockwork. You don't hand off — you see it through.
• Bridge the Gap Between Technology and Business: You translate complex AI capabilities into language that operations leads and C-level stakeholders understand. You build trust, manage expectations, and consistently demonstrate value. When a customer asks "what can AI actually do for us?" — you show them.
• Drive Continuous Improvement: Go-live is just the beginning. You monitor performance, identify optimization opportunities, and push adoption from Copilot to Copilot+ to Autopilot. You turn good implementations into great ones.
• Shape the Product From the Front Lines: Nobody knows our customers' needs better than you. You feed insights back to our product and engineering teams, helping us build a platform that's not just technically impressive but operationally indispensable.

Requirements

Must-Haves:

• Strong project management skills — you can run complex, multi-stakeholder implementations without things falling through the cracks. You've done this before.
• Technical acumen — you don't need to write production code, but you understand how software systems work, how APIs connect, and you're not intimidated by configuring complex logic. You can talk to developers and business people in the same meeting.
• A genuine fascination with AI and what it can do. You stay curious, you experiment, and you understand that this technology is reshaping entire industries right now.
• Outstanding communication skills — fluent German and English, spoken and written. You can run a workshop with a 50-person service team in the morning and present results to a CEO in the afternoon.
• A true startup mindset — you thrive in environments where not everything is documented, processes are still being built, and your initiative directly shapes how things work. You don't wait for someone to tell you what to do.

Nice-to-Haves:

• Previous experience in customer service operations, contact centers, or service transformation projects.
• Experience in consumer-facing regulated industries (energy, finance, insurance, banking, utilities).
• Background in AI/ML implementation, conversational AI, or enterprise SaaS.
• Experience working with enterprise clients (complex stakeholder landscapes, long decision cycles, high compliance requirements).

Application Process

We aim to keep the process efficient:

1. Intro / Vibe Check (30 minutes)*: A short conversation to get to know each other, talk about your background, and discuss the role and what we’re building at enneo.
2. Technical & Implementation Discussion (45–60 minutes): Conversation with our CTO about how you approach real customer implementations. We will discuss topics like system integrations, APIs, enterprise SaaS rollouts, and how you manage complex stakeholder environments.
3. Founder Conversation (30–45 minutes): Final conversation with our CEO to discuss expectations, how you would work with customers, and how you would help scale AI implementations at enneo.

*In some cases, the first conversation may already include both the initial introduction and the technical/implementation discussion.

About the Company

Enneo is an AI-native customer service platform that automates customer interactions across voice, chat, email, and messaging channels. By combining modern AI models with omnichannel automation, our platform helps companies handle customer requests faster, more efficiently, and with higher service quality.

The company was founded in 2022 by Dr. Kyung-Hun Ha and Dr. Richard Lohwasser, who previously built and exited the neo-utility company Lition Energy and spent 25+ years in total transforming and digitizing customer service operations within large-scale utilities. After experiencing the operational complexity of customer service and absence of tailored solutions firsthand, they set out to build a platform designed around the possibilities and capabilities of AI for truly intelligent automation.

Today, Enneo serves several of Germany’s largest utility companies and partners with leading and emerging business process outsourcing providers and system integrators. Our platform processes millions of customer interactions every day and enables service teams to automate complex routine tasks, reduce response times, and deliver better customer experiences.

Our mission is to become the leading platform for AI-powered agentic customer service across the DACH region, helping companies modernize their operations while improving experiences for both customers and service teams.