Design Engineer

About Artificial

Help shape the future of specialty insurance

At Artificial, we’re building the next generation of technology for the specialty (re) insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision‑making.

We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth.

You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built‑in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry.

We've just raised $45M (£33M) in Series B funding from lead investor Commerz Ventures, new investor Move Capital, as well as all existing shareholders. This investment round gives us the room to grow with confidence, continue to innovate, and ensure that Artificial remains the first choice for brokers and carriers seeking a smarter way to trade digitally.

Join us, and take the chance to be a part of something that will change the landscape of insurance for generations.

We are hiring in parallel for multiple overlapping roles in the Experience team, including Product Designers. Apply for whichever role you think suits you best—we can always change your track once we start the process.

Here’s an intro video from Jon Lay, Chief Experience Officer (requires cookies):

The Experience Team owns the browser experience of Artificial’s platform. Although the lines between us are intentionally very blurred, we are basically a team of:

• Product Designers
  , who work directly with customers and lead on UX, research, and product thinking.

• Design Engineers
  , who own the design‑to‑browser layer and bring the experience to life in code.

• Product Engineers
  , who handle deeper back‑of‑the‑frontend (and some backend) work and collaborate with platform teams on scalability.

Here’s a little flavour of how we operate and what we care about:

• Design and experience as the differentiator. There’s genuine backing for design across the business—we are an active voice in product and commercial strategy, not just the people who put a lick of paint on the work at the end. Shipping an outstanding user experience is key to how we win as a business.

• Travel and ship. We aim to minimise handovers between roles wherever possible. Our whole team ships code, so you’ll often find yourself going end‑to‑end: receiving a piece of customer feedback, prototyping potential solutions, discussing with the team, then raising and merging a PR.

• Remote and async first. Our HQ is in London, but we’ve built the team to be remote‑first, with a heavy emphasis on creating space for deep, uninterrupted work and rigorous thinking.

• Using AI smartly. Despite what our name might suggest, Artificial is a technology company, not an AI wrapper business. But as a team, we’re continually learning, sharing, and pushing each other to stay on the cutting edge of the changes ripping through our industry. If you’re not excited about AI and learning how you can use it to be more effective (and when not to use it), this may not be the team for you.

• Hard work; sustainable pace. We’re a Series B scale‑up building complex, mission‑critical technology for demanding enterprise customers. We take sustainable pace seriously—no 996 culture here! But there’s an inherent intensity to working in this environment: we deal with high ambiguity, hard problems, high stakes and high standards. We’re looking for people who are drawn to that challenge.

• Prototype in code. Although we still use Figma for sketches, annotations and explorations, our primary communication medium for the last 12+ months as a team has been the coded prototype, often accompanied by an explainer video and written note to debate as a team. Rather than debating what might work, we heavily lean towards building a prototype to see whether neat ideas can stand up to…