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
Expanded to the US market with a growing North American presence
Ended 2025 with a strong multi-million dollar ARR and ambitious goals for 2026
Manage the enrichment and outbound stack from near-scratch. Pick the right tools. Design the waterfall logic and the AI-personalization layer. Make it best-in-class.
Design signal-based plays for security buyers.
Manage HubSpot to support the sales motions cleanly. Lifecycle stages, deal pipelines, account hierarchy, routing logic, scoring.
Stand up dedicated outbound deliverability infrastructure. Separate sending domains (not qevlar.com), multi-mailbox warm-up, SPF/DKIM/DMARC configured properly. Monitor and protect domain reputation continuously.
Operate the AI personalization layer using Claude.
Build the reporting BDRs, AEs, and the CRO use daily. Signal → meeting → pipeline → revenue, end-to-end, segmented by region and segment.
At least 2+ years building GTM systems in B2B SaaS.
Experience designing and shipping enrichment workflows in modern tools. You've built waterfalls, AI columns, and HTTP/webhook integrations.
Tool-agnostic preferred: we don't have a stack to defend.
HubSpot architecture experience: you've designed lifecycle stages, custom properties, and multi-pipeline deal structures in production; not just used dashboards.
Cold email infrastructure literacy: you can explain SPF, DKIM, DMARC, and subdomain isolation. You've set up multi-mailbox warm-up before.
Sales Playbook fluency: you know what a qualified meeting feels like from the AE side.
Work on meaningful problems with real-world impact in cybersecurity
A high-impact role in a small, international, fast-moving team where your contributions directly shape the company and its success
Shape the future of a product already making noise in AI + security circles
A company culture that values autonomy and creativity
Opportunity for equity and early ownership
We’re flexible on location - you can either work from home or join your colleagues in our beautiful office in Paris’ 9th arrondissement.
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 processIntro Call
Hiring Manager Interview with the CRO
Case Study
Culture fit
References + Offer
Skills Required
- At least 2+ years building GTM systems in B2B SaaS
- Experience designing and shipping enrichment workflows, waterfalls, AI columns, and HTTP/webhook integrations
- HubSpot architecture experience: lifecycle stages, custom properties, multi-pipeline deal structures
- Cold email infrastructure literacy: SPF, DKIM, DMARC, subdomain isolation, multi-mailbox warm-up
- Experience with email deliverability infrastructure and domain reputation management
- Sales playbook fluency — understands qualified meeting criteria from the AE side
- Tool-agnostic mindset (preference for candidates not tied to a specific stack)
- Experience operating AI personalization (Claude) or similar LLM-driven personalization layers
What We Do
Qevlar AI is a B2B SaaS company on a mission to boost the productivity of cybersecurity teams using artificial intelligence. It provides an AI-powered platform that transforms Security Operations Centers (SOCs) from reactive to proactive units through autonomous security alert investigations, strengthening response, detection engineering, threat hunting, and vulnerability management to create a self-improving defense system.
