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Senior Product Manager

Qevlar AI· Product
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Hybrid (Paris, London)Full-timePosted 1w ago

About the role

Senior Product Manager to own a core area of the Qevlar platform, spanning investigations, threat detection and response. You will work with the VP Product, lead a squad of engineers, and shape AI-driven security products for SOC teams in enterprise and MSSPs.

Responsibilities

  • Own the roadmap for your area: discovery with customers and prospects, opportunity framing, requirements, prioritisation and delivery, with a squad of engineers and an engineering manager alongside you.
  • Spend time with SOC teams at enterprises and MSSPs to understand how they detect, investigate and respond today, and translate that into product that fits their workflow
  • Define what good looks like for an AI driven security product: how we measure the quality of an investigation or a recommendation, how we show our reasoning, and how we earn the trust that lets a team act on what Qevlar tells them
  • Partner with engineering, customer success and sales to take features from idea to production and into the hands of customers, and follow through on adoption and impact
  • Bring the market in: track the detection, security orchestration and vulnerability management landscape and know where Qevlar can win

Qualifications

  • At least 5 years of product management experience on a security product: a detection platform (SIEM, XDR, detection engineering or content) or a vulnerability management platform.
  • A working understanding of security operations: detections are written and tuned, alerts flow through a SOC, and vulnerabilities are prioritised and fixed, having shipped product into those workflows.
  • A track record of taking products from discovery to launch in a B2B SaaS environment, and of making prioritisation calls with customers, revenue and engineering capacity all in view.
  • An AI native way of working: you use AI tools daily to research, analyse, prototype and write, understand how large language models behave in production, and have shipped or built with them.
  • Comfort with an early stage company: ambiguity, pace, and problems nobody has solved yet.
  • At least C1/C2 level in English.

Skills

Required:Product managementSecurity operations understandingAI / AI-native tooling

Benefits

  • We’re flexible on location.
  • Opportunity for equity and early ownership
  • Direct impact on enterprise revenue and global expansion
  • Excellent career opportunities in a rapidly scaling business
  • Autonomy and creativity culture
  • Work with senior leadership and world-class engineers on complex infrastructure challenges with real-world impact in cybersecurity
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Qevlar AI

Let your SOC team focus on real threats. Not alert firefighting.

Qevlar AI | Autonomous SOC Platform

AIAutonomous SOCDetection EngineeringIncident ResponseIncident responseSecurity OperationsSecurity Operations CenterThreat Hunting
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