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:

Raised €14 million in seed funding led by EQT Ventures and Forgepoint Capital
Been incubated both by Microsoft (genAI studio) and Meta (AI program)
Deployed our solution to Global 500 companies and leading MSSPs in EMEA and NA (Equans, Nomios, Globalconnect, Almond)

We're looking for an experienced VP Engineering to scale our engineering organization and establish the systems needed to deliver predictably as we grow.

What will you do

Build and scale a high-performing engineering organisation while maintaining velocity
Establish processes and systems that enable predictable delivery without sacrificing speed
Define clear interfaces between engineering and other functions (Product, Sales, Customer Success)
Develop engineering managers and create clear career paths for the team
Own technical standards, delivery practices, and operational excellence
Partner with the CTO on technical strategy while owning day-to-day execution
Manage BYOC deployments and enterprise customer requirements while maintaining continuous deployment cadence

Who you are

You have:

Significant engineering leadership experience with a track record of scaling teams through Series-B growth stages
A concrete system you've implemented before for predictable delivery - not theory, but something you've actually deployed and measured
Strong business acumen: you understand customer needs, revenue implications, and how engineering decisions impact the business
Track record of building engineering management layers and developing technical leaders
Experience balancing rapid iteration with enterprise stability requirements
Extreme ownership: you make autonomous decisions with data, then execute without needing constant validation
Customer-centric mindset with a bias toward shipping and iteration

Bonus points for:

Experience with AI/LLM-based products or infrastructure
Background in cybersecurity or highly regulated environments
Experience managing enterprise deployments in BYOC or multi-tenant environments
Strong architecture skills

Why join us

Work on cutting-edge AI applied to a critical domain (cybersecurity)
Shape the engineering culture and systems of a fast-growing startup
Significant equity stake with real upside potential
High autonomy and direct impact on company trajectory
Paris-based with flexible remote work

Hiring process

Intro Call
Hiring Manager Interview
Case Study
Culture Fit

Teams: Tech
Locations: Paris
Remote status: Hybrid
Employment type: Full-time

About Qevlar AI

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

Founded in 2023

Co-workers 27

Tech · Paris · Hybrid

VP Engineering

Already working at Qevlar AI?

Let’s recruit together and find your next colleague.

Apply now

See more open positions at Qevlar Ai

Privacy policy Cookie policy