VP Engineering

<h4>About Qevlar AI</h4><p>Qevlar is a B2B SaaS startup that strives to massively increase the productivity of cybersecurity teams. We develop AI Cybersecurity Analysts that augment Security Operations Centers (SOCs). Since our creation 2 years ago, we have:</p><ul><li><p>Raised €14 million in seed funding led by EQT Ventures and Forgepoint Capital</p></li><li><p>Been incubated both by Microsoft (genAI studio) and Meta (AI program)</p></li><li><p>Deployed our solution to Global 500 companies and leading MSSPs in EMEA and NA (Equans, Nomios, Globalconnect, Almond)</p></li></ul><p><strong>We're looking for an experienced VP Engineering to scale our engineering organization and establish the systems needed to deliver predictably as we grow.</strong></p><h4>What will you do</h4><ul><li><p><strong>Build and scale</strong> a <strong>high-performing</strong> engineering <strong>organisation</strong> while maintaining<strong> velocity</strong></p></li><li><p><strong>Establish </strong>processes and systems that enable<strong> predictable delivery without sacrificing speed</strong></p></li><li><p><strong>Define</strong> <strong>clear interfaces</strong> between engineering and other functions (Product, Sales, Customer Success)</p></li><li><p><strong>Develop</strong> engineering managers and create clear career paths for the team</p></li><li><p><strong>Own</strong> technical standards, delivery practices, and operational excellence</p></li><li><p><strong>Partner with the CTO</strong> on technical strategy while owning day-to-day execution</p></li><li><p><strong>Manage BYOC deployments and enterprise customer requirements</strong> while maintaining continuous deployment cadence</p></li></ul><h4>Who you are&nbsp;</h4><p><strong>You have:</strong></p><ul><li><p><strong>Significant engineering leadership </strong>experience with a track record of scaling teams through <strong>Series-B </strong>growth stages</p></li><li><p><strong>A concrete system</strong> you've implemented before <strong>for predictable delivery</strong> - not theory, but something you've actually deployed and measured</p></li><li><p><strong>Strong business acumen</strong>: you understand customer needs, revenue implications, and how engineering decisions impact the business</p></li><li><p><strong>Track record</strong> of <strong>building engineering management layers</strong> and<strong> developing</strong> technical leaders</p></li><li><p><strong>Experience balancing rapid iteration with enterprise stability requirements</strong></p></li><li><p><strong>Extreme ownership</strong>: you make<strong> autonomous decisions</strong> with data, then <strong>execute</strong> without needing constant validation</p></li><li><p><strong>Customer-centric mindset with a bias toward shipping and iteration</strong></p></li></ul><p><strong>Bonus points for:</strong></p><ul><li><p>Experience with AI/LLM-based products or infrastructure</p></li><li><p>Background in cybersecurity or highly regulated environments</p></li><li><p>Experience managing enterprise deployments in BYOC or multi-tenant environments</p></li><li><p>Strong architecture skills</p></li></ul><h4>Why join us</h4><ul><li><p>Work on cutting-edge AI applied to a critical domain (cybersecurity)</p></li><li><p>Shape the engineering culture and systems of a fast-growing startup</p></li><li><p>Significant equity stake with real upside potential</p></li><li><p>High autonomy and direct impact on company trajectory</p></li><li><p>Paris-based with flexible remote work</p></li></ul><h4>Hiring process</h4><ol><li><p><strong>Intro Call</strong></p></li><li><p><strong>Hiring Manager Interview</strong></p></li><li><p><strong>Case Study</strong></p></li><li><p><strong>Culture Fit&nbsp;</strong></p></li></ol>