Overview

We deploy agentic AI systems that handle real insurance claims for DAX‑listed insurers. Not demos. Not decks. Production.

We need an AI operator to get into the trenches – operate pilots hands‑on, identify where AI replaces manual work, and build the systems that make it scalable. You will become our internal expert on frontier AI – and Claude specifically. That’s not a side responsibility. It’s a core part of the job.

You will work directly with the founders (ex‑BCG PLs) and elite AI engineers (ex‑Amazon, ex‑Meta). You’ll sit in rooms with C‑level insurance executives, helping us deliver product excellence and scale accounts. But first, you’ll process claims, fix edge cases, and ship, leveraging AI.

Tasks

Master the tools – develop deep, hands‑on proficiency with Claude: prompt engineering, context management, multi‑step reasoning, structured outputs, agentic workflows. Know the difference between a demo prompt and one that holds up across 10,000 real claims. Track model releases, test new capabilities the week they drop, and form a clear‑eyed view of what’s actually better – and what’s hype.
Deliver – support enterprise pilot launches from first claim to full operational rollout. Be present when things go wrong and fix them. Learn what separates a pilot that converts into a multi‑million‑€ annual contract from one that stalls, and build the operational muscle to make the former the default.
Build – every manual process is a target. Map workflows, identify failure points, and design automated systems that don’t need babysitting. Write SOPs, build review queues, configure AI pipelines, and ensure the output meets the quality bar of a DAX‑listed insurer communicating with its customers.
Scale – once something works, make it run without you. Identify bottlenecks, compress cycle times, and hand off systems that are documented, reliable, and ready for the next 10x of volume.

Career Path

Internship – start at the source. Learn processes through hands‑on execution, structuring data, analyzing client feedback, and automating first sub‑processes. Gain exposure to a VC‑backed AI startup’s pace and decision‑making.
Year 1 – process claims, support client reviews, build fully automated workflows. Deepen AI expertise, master tools, run experiments, and gain strategic context through C‑level meetings and full pilot lifecycle.
Year 2+ – paths open based on what you build:
- Account Ownership – own a major enterprise account end‑to‑end: commercial relationship, delivery quality, expansion.
- AI Solutions – build the platform and own the delivery model across all clients.
- Back in the trenches – launch the next pilot, compress timelines further, reset the benchmark.

Requirements

Top academic track record or equivalent proof of raw horsepower.
0–3 years of experience in high‑intensity environments: consulting, banking, or a BizOps/strategy role at a VC‑backed startup.
Real proficiency with Claude or comparable frontier AI tools – extensive usage, strong prompting skills, intuition for failures.
Structured, analytical thinking; comfortable building models, interpreting data, and turning outputs into decisions.
Strong project management instincts – track progress, flag stalls, and close loops without being asked.
Exceptional written and verbal communication – craft crisp client memos and clear internal Slack messages.
German and English fluency.

Non‑Negotiables

Client‑first – the insurer is your client. Their success is your KPI. Their customer’s experience is your quality standard.
Quality‑obsessed – AI output to a DAX insurer’s customers must be flawless. Verify every edge case.
Extreme ownership – own problems until solved. No hand‑offs or “that’s not my job.”
Low ego – start in the trenches. Earn strategic scope through results. Titles follow track record.

Benefits

Timing – early stage of a category‑defining company. Join early to shape culture, processes, and product.
Learning curve – learn enterprise service delivery from BCG PLs and AI engineering from Amazon and Meta. Gain frontier AI expertise in a regulated, high‑stakes industry.
Real impact – see output in production within weeks. No theory sessions or unused internal tools.
Ownership culture – build scalable systems, get promoted to build the next one. Reward based on lasting contributions, not busyness.
Compensation & Details – competitive salary + meaningful equity. Berlin (on‑site). EU work authorization required.

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Inca