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AI Enablement Lead DACH

Job description

About Everfield

Everfield buys, builds, and grows European vertical market and specialist software companies, providing them with the tools they need to move to the next level. Our mission is to foster ambition, fuel growth, and unlock opportunities for Europe's software ecosystem.

Companies in the Everfield ecosystem follow a decentralised model, maintaining their team, brand, and offices, while focusing on what they do best: building products and supporting customers. Everfield provides support in talent acquisition, HR, and a team of experts in building and growing European B2B SaaS companies who consult on financial and operational topics. Founded in 2022, Everfield has an ecosystem presence in 10+ countries, and growing.

The Opportunity

AI is changing how software companies operate. Not just in software engineering, but also sales, support, professional services and everything in between.

At Everfield, we have been running a hands-on AI enablement programme across our portfolio for the past year. The results are clear: companies that received sustained, in-person attention moved from copy-pasting ChatGPT outputs to deploying autonomous agentic swarms in weeks. A room of sceptics in Munich became evangelists after a single workshop.

The problem: one person cannot cover all of Europe. DACH is our largest cluster by number of portfolio companies, and it needs a dedicated AI enabler on the ground that can speak their language. You are one of two regional cluster AI enablement hires (the other covers UK & Ireland & Nordics).

You will be the AI coach embedded in the DACH cluster, working directly with CTOs, development leads, and non-technical teams to raise AI maturity across every function. You will teach, build, demonstrate, and follow through.

What you will do

  • Assess AI maturity across DACH. Run deep-dive assessments at each portfolio company. Understand where teams stand, what tools they use, and where the biggest gaps are.

  • Deliver hands-on enablement, auf Deutsch. Workshops, mini-hackathons and enablement sessions at portfolio companies. Practical working sessions where you sit with people and help them build real things.

  • Coach across all functions. Work with developers, product managers, support teams, and operations staff, 1-on-1 and in small groups, to embed AI into daily workflows.

  • Move engineering forward. Help R&D teams adopt spec-driven development and coding agents. Move them beyond autocomplete into structured, AI-augmented workflows where the biggest productivity gains sit.

  • Take AI beyond engineering. Work with sales, support, professional services, and operations to find and implement AI-powered workflows. The use cases are there: they just need someone to activate them.

  • Create content that scales. Build AI playbooks, e-learnings, and training materials so knowledge travels beyond your direct interactions.

  • Find and activate the willing. Identify the AI champions and early adopters inside each company. Equip them to drive change from within. They become your local network.

  • Prove it in the data. Track improvements in deployment frequency, features delivered, support ticket resolution time, etc. If it is not showing up in the numbers, it is not working.

  • Be the bridge between DACH and HQ. You are the ongoing conversation partner for DACH portfolio companies on AI topics, and you relay patterns, insights, and blockers back to the central AI team.

What success looks like

In your first nine months:

  • Maturity assessments completed across all DACH portfolio companies

  • At least two companies moved up one step on the AI maturity path

  • First round of deep-dives and roadshow events delivered in German

  • Strong working relationships with ratio owners (CTOs, Head of Sales, Head of Support, etc.)

  • Quick wins identified and real productivity gains delivered in at least two companies

You will thrive here if you

  • Have 3–7 years of professional experience, ideally with a consulting or advisory background

  • Speak fluent German. Non-negotiable. Our DACH portfolio companies operate primarily in German. Fluent English is also required.

  • Can teach in the morning and build a working prototype in the afternoon

  • Are genuinely curious about AI: you pay for LLM subscriptions out of your own pocket, you have a GitHub account with actual commits, and you formed strong opinions about these tools before everyone started talking about them

  • Are comfortable around developers without being one full-time. You can understand software, use a terminal, and hold your own in a technical conversation

  • Have experience with AI coding tools like Claude Code, Cursor or similar

  • Are self-directed and comfortable with ambiguity

  • Are willing to travel regularly within DACH. Remote-first, but the work that moves the needle happens on-site

You do not need to arrive fully formed. The AI Lead will invest significant time mentoring you, teaching the enablement methodology, and helping you develop technical depth. What you must bring is the curiosity and the drive to learn fast.

What you will get

  • Unmatched breadth of experience. You will not transform one company, you will work across an entire portfolio. Every workflow you improve gets multiplied. Your learning curve is exponential.

  • Direct mentorship from an AI Lead who has been driving this programme across Europe and wants to develop the next generation of AI enablers.

  • Full ownership of a cluster. No layers, no approval chains. The DACH portfolio is yours to shape.

  • A proving ground. If this model works, you have built the blueprint for how AI enablement scales across European software.

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