Qevlar is a B2B SaaS scale-up on a mission to boost the productivity of cybersecurity teams with Artificial Intelligence. We build an AI platform that transitions Security Operations Centers from reactive to proactive units through autonomous security alert investigations.
In just three years, we have:
Raised a total of $44m in series-A & seed rounds from EQT Ventures, Forgepoint Capital and Partech
Deployed our solution with major Enterprises such as Sodexo and GlobalConnect, and leading MSSPs like Orange Cyberdefense
Grown to 1,500+ clients across the US and EMEA
Ended 2025 with a strong multi-million dollar ARR, and we're targeting $25M by the end of 2027
We're opening two new product areas: detection engineering (how a security team understands and improves its detection base) and exposure management.
You'll own design for both from day one, working directly with our VP Product, a new PM and squad, and a design team with an established design system to build on.
What you will actually doOwn design for detections and exposure, from discovery to shipped product, alongside the PM and engineers. Your first project: the first version of detection base analysis, which shows coverage, noise and gaps in a customer's detections.
Spend time with expert users (detection engineers, SOC analysts, SOC managers and MSSPs) and turn how they work into workflows that fit rather than add to it.
Design for trust in AI: show Qevlar's reasoning and evidence, let users check and correct it, and help a team move from reviewing a recommendation to acting on it.
Make dense data clear: coverage and prioritisation views, relationships between detections, alerts and assets, for analysts and security leaders alike.
Prototype in code with AI tools and contribute to the design system, so ideas reach users and engineers in days.
At least 5 years of product design, with a meaningful part on complex, data-heavy B2B products (security, observability, analytics, developer tools or similar).
A portfolio that shows your process (research, trade-offs and measured outcomes), not only finished screens.
Experience designing for expert users who make high-stakes decisions with incomplete information.
Strong information architecture, data visualisation and UI craft, with design system contributions.
An AI-native, code-literate way of working: you prototype in code with AI tools and are comfortable opening a PR against a component library, while Figma stays core.
Experience in a fast-moving startup or scale-up, comfort with ambiguity, and a pragmatic approach to shipping.
Based in the UK or France.
Nice to have
Security product design (detection, SIEM, XDR or vulnerability management); understanding of SOC workflows; designing for trust in AI or ML systems; graph or relationship visualisations; MSSP or multi-tenant products; French.
What to expect
The domain is deep and takes time to learn, AI keeps moving the ground, and our design system is evolving while you build on it.
In return, you get a blank canvas on the area the business has named its top priority and a short path from idea to customer.
Why join usOwn design for the area the business has named its top product priority, from a blank canvas
Work directly with our VP Product and a new squad, with no layers in between
Design for expert users and for one of the hardest problems in AI: making it trustworthy
A design system already in place to build on, and to shape
A company culture that values autonomy and creativity
Opportunity for equity and early ownership
We’re flexible on location, France or the UK.
If you’re excited about helping security teams adopt cutting-edge AI, we’d love to hear from you. Let’s build the future of cybersecurity together!
Hiring processRecruiter Call: Initial conversation about your background, the role, and mutual fit.
Portfolio deep dive: with our VP Product and a product designer: two projects of your choice, one on a complex data or technical workflow, one where you turned ambiguity into clarity.
Live design workshop (90 min): a collaborative session with a designer and an engineer on a real detections problem. Materials are sent 24h before; there's no take-home.
Culture fit: Strategic alignment, vision for platform products, and your career goals.
Reference checks & offer
