Senior Product Designer, Detections & Exposure

Qevlar AIParis, Île-de-FranceOn-siteFull-timeSenior, 5–8 yearsListed 7 hours ago

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About this role

About Qevlar AI

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 do

- Own 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.

What we're looking for

- 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 EU.

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 us

- Work alongside senior leadership to define platform strategy for a fast-growing cybersecurity startup
- Direct impact on enterprise revenue and global expansion
- Work with world-class engineers on complex infrastructure challenges with real-world impact in cybersecurity
- Excellent career opportunities in a rapidly scaling business
- 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 process

- Recruiter Call : Initial conversation about your background, the role, and mutual fit.
- Head of Product : Deep dive on product thinking, technical approach, and past platform work.
- Product Case Study : Work through a realistic platform prioritisation challenge. Assess how you balance competing demands and communicate trade-offs.
- Culture fit : Strategic alignment, vision for platform products, and your career goals.