Lead product discovery: Plan and run interviews, contextual inquiry, and usability tests with domain experts, operators, and public-sector users; synthesize insights into jobs-to-be-done, opportunity maps, and service blueprints.
Engage early with Sales and client stakeholders: Join discovery calls, shape problem framing and scope, help craft proposals, and create targeted demos or prototypes that clarify value and feasibility during the pre-sales phase
Design & Prototyping
Turn research into design: Create flows, wireframes, and high-fidelity UI in Figma; maintain component libraries and design tokens to keep delivery fast and consistent.
Prototype at speed: Build interactive prototypes and AI‑generated app stubs using Figma, ProtoPie, Framer, or vibe‑coding tools like Lovable to test hypotheses in days, not weeks; iterate based on evidence.
AI-Specific UX Design
Design AI-enabled experiences: Explore copilots, decision support, summarization, and proactive UX patterns. Handle model strengths/limits with confidence UIs, escalations, and human-in-the-loop.
Partner with engineering: Co‑define acceptance criteria, write crisp specs, and ensure smooth hand‑off; collaborate on feasibility, edge cases, and performance, staying embedded with users and developers through the entire R&D and software‑development lifecycle.
Champion quality and access: Apply modern UI standards, responsiveness, and accessibility (WCAG-minded) across web apps, dashboards, and tools.
Work with constraints of regulated domains: Consider data privacy, auditability, safety, and GxP-like requirements when relevant; document rationale and decisions.
5+ years in UX/Product Design owning end‑to‑end user research and delivering digital products; academic foundation in cognitive science, psychology, art, computer science or a related field is a plus.
Craft & tools: visual and interaction design excellence with Figma mastery; familiar with AI/ML UX patterns (prompts, evaluation loops, confidence UIs) and accessibility standards.
Product–engineering fluency: comfortable thinking in states, analytics/telemetry, and shipping prototypes to production in small, high‑leverage teams.
Domain empathy: experience (or strong curiosity) in public sector, manufacturing, or pharma contexts, working within compliance and multilingual environments.
Client‑facing influence: fluent in German (C1+) and English, able to shape scope during pre‑sales, run workshops, and present a results‑focused portfolio
Engaging topics and excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs.
International Team: We are a dynamic and international team.
We offer Visa Sponsorship.
Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation.
Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy as well as working hours.
AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team.
Brand new office space: Bright and open office situated on the AI Campus in Berlin.
Hardware allowance: We give you support to have all the equipment you would need to thrive on your job.
Sabbatical Leave;
Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club) or groceries (Edenred).
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