Senior Product Manager, AI Security Platform

Hyperproof; France; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Qevlar AI is seeking a Senior Product Manager to own a core area of the platform, spanning investigations, threat detection and response. You will lead a squad of engineers and collaborate with executives to ship features that improve how SOC teams operate.

You will spend time with analysts, SOC managers and CISOs, shaping AI-assisted workflows, measuring success, and delivering impact in a fast-moving, early-stage cybersecurity startup.

Qualifications

• At least 5 years of product management experience on a security product (detection platform or vulnerability management).
• Working understanding of security operations and SOC workflows.
• Track record of taking products from discovery to launch in a B2B SaaS environment.
• AI-native working style; comfortable with researching, analyzing, prototyping and leveraging large language models.
• Comfort with an early-stage company: ambiguity, pace, and solving unsolved problems.
• English at C1/C2 level; strong written communication in a distributed team.

Responsibilities

• Own the roadmap for your area with a squad of engineers and an engineering manager.
• Spend time with SOC teams to understand detection, investigation and response workflows and translate into product.
• Define what good looks like for an AI-driven security product and how to measure it and earn trust.
• Partner with engineering, customer success and sales to take features from idea to production and adoption.
• Bring the market in by tracking the threat detection and vulnerability management landscape to find opportunities.

Skills

Security product

Security operations

B2B SaaS

AI tools

Job description

Qevlar AI is seeking a Senior Product Manager to own a core area of the platform, spanning investigations, threat detection and response. You will lead a squad of engineers and collaborate with executives to ship features that improve how SOC teams operate.

You will spend time with analysts, SOC managers and CISOs, shaping AI-assisted workflows, measuring success, and delivering impact in a fast-moving, early-stage cybersecurity startup.