Senior Product Designer, Detections & Exposure

Qevlar AI

Ledbury

Hybrid

GBP 80,000 - 110,000

Full time

4 days ago
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Benefits offered by this job

Equity opportunity
Flexible location

Job summary

Qevlar AI is a B2B SaaS scale-up using AI to boost cybersecurity teams' productivity. You’ll own design for two new product areas—detection engineering and exposure management—from day one, working with our VP Product and a new squad.

You’ll design for expert users, translate complex data into clear workflows, and contribute to the design system while prototyping in code with AI tools. Location-flexible in the UK or France.

Qualifications

  • 5+ years of product design experience in complex, data-heavy B2B products.
  • Portfolio showing process, research, trade-offs and outcomes.
  • Experience designing for expert users making high-stakes decisions.
  • Strong IA, data visualization and UI craft; contribution to design systems.
  • AI-native, code-literate: prototype in code and contribute to component libraries.
  • Experience in fast-moving startups or scale-ups; comfortable with ambiguity.
  • Based in the UK or France.

Responsibilities

  • Own design for detections and exposure end-to-end with the PM and engineers.
  • Interview expert users to translate workflows into usable designs.
  • Design for trust in AI: show reasoning and evidence and enable corrections.
  • Make dense data clear: coverage, relationships among detections, alerts and assets.
  • Prototype in code and contribute to the design system so ideas reach users quickly.

Skills

Product design
Portfolio-driven
Expert users
Info architecture
Data visualisation
UI craft
Design system
AI-native mindset
Code prototype
Startup/scale-up
UK/France based

Job description

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

You'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 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 us
  • Own 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.
Hiring process
  • Recruiter 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

Fully autonomous automation for defensive cybersecurity teams (SOC). Explainable AI. Agnostic approach. No playbooks needed.

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