everfield - AI Enablement Lead DACH

• 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 • 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. • 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.