Legal AI Counsel (Zurich)

We are honest: people who combine all of this are rare. We hire for aptitude and attitude, assess hands-on in a case study, and train the rest side by side, in real customer work.

1. You can sell the product (key). Not in the cold-calling sense, but in the way a great expert sells: by making the customer succeed in front of their own team. Concretely, this means you can (or want to learn to):

• Run a live demo with confidence including customized, high-stakes demos and recover gracefully when something doesn't land: pull out a better prompt, adjust on the spot, turn a skeptical question into a stronger result.
• Coach the customer hands-on. In trials and hackathons, the customer drives and you navigate: you get them to enter their own real legal questions, create the first "wow" moment themselves, and build the habits (saved prompts, reusable workflows) that make them stay.
• Turn objections into use cases. When a customer says "that won't work for us" or "we'll build it ourselves," you respond with a concrete path: a workaround, a workflow, the honest maintenance cost of the alternative. You're straight about limits, because credibility is what closes.
• Speak at eye level with GCs and legal teams asking sharp discovery questions, translating their friction points into what the product can do, and framing value in their language (ROI, risk, time saved).
• Always leave with a next step. Trial licenses, a hackathon, a follow-up workshop, a scoped rollout conversation. You instinctively convert interest into momentum, and you remove friction ("we can make that happen") rather than adding process. Ideally you can point to moments where you influenced a deal, a renewal, or an expansion in any prior role.

2. Legal foundation. Solid legal training and hands-on experience with commercial contracts from in-house, law firm, or legal tech. You understand the "why" behind a clause and can teach that logic to an AI and to a customer. A German 2. Staatsexamen is welcome but not required: we explicitly encourage candidates with qualifications from other jurisdictions or non-traditional paths (e.g. law + IT).

3. Hands-on AI builder. You have spent serious time with LLMs, not as a spectator, but pushing them to their limits. You see prompting and evaluation as a craft and enjoy figuring out where AI systems break and how to fix them.

4. Ownership & communication. You can point to things you built, launched, or drove. You are structured enough to run projects with multiple stakeholders, and precise enough to know that a sharp prompt beats a thousand vague instructions. Excellent German and English; other languages are a plus.