Director of AI Products, Circus Group

• Entrepreneurial mindset — you’ve founded something, led a product from scratch, or operated with real ownership in a small team; comfortable with ambiguity and not afraid to fail
• Technical foundation — you understand how AI applications are built and can work credibly with engineers; having shipped software yourself is a plus
• Experience building AI applications — whether as a founder, engineer, or product lead — and an instinct for what’s ready for production vs. what isn’t
• The ability to spot a market opportunity, size it quickly, and build a business case that gets buy-in
• A genuine pulse on the AI landscape — LLMs, vision models, edge inference, agentic frameworks — and strong opinions on where things are going
• Fluent English; German is a plus
• Experience commercialising AI Solutions to enterprise buyers

Desirable

• As Director of AI Products, you will own Circus’s entire AI product portfolio and lead the team building it — agentic systems, computer vision, edge AI, wearable AI, and the entire intelligence layer across our products
• This is one of the few roles in Europe where Physical AI is already in production, not on a roadmap
• You’ll spot opportunities before they’re obvious, build the business case, and drive them from first prototype to revenue
• You’re not here to manage a roadmap someone else defined. You see potential where others see noise, you’re willing to be wrong fast, and you know how to turn a technical edge into a commercial product
• You’ll work directly with our Management team and alongside our strategic technology partners like Meta and NVIDIA
• Own the AI product portfolio end-to-end — agentic intelligence systems, Visual Intelligence (computer vision), Operator AI (wearable/edge), and CircusOS integrations across retail, hospitality, and defence deployments
• Identify and build the business case for new AI opportunities — internal tooling, external SaaS, strategic partnerships
• Lead the AI team — engineers and specialists across vision, voice, and agentic AI; set direction, run 1:1s, and keep the bar high
• Push the frontier in production — deploy AI in environments where latency, reliability, and data security actually matter; this isn’t just a lab, it’s live
• Drive external AI revenue — productize our Visual Intelligence and agentic AI stack as enterprise SaaS solutions; own the arc from technical proof to signed deal
• Be the filter on what gets built — evaluate emerging AI tech (VLMs, multimodal models, new agentic frameworks) and turn signal into decisions
• Manage strategic technology partnerships — be the day-to-day product counterpart for our key tech partners, turning early access and co-development into shipped product