About Qevlar AI
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
We are looking for a Technical Customer Success Manager who is tired of "checking‑in" and ready to "solve".
We are moving beyond traditional SOAR playbooks into the era of Agentic AI.
What You Will Do
You won't just manage a relationship; you will be the primary architect of trust between our autonomous SOC analysts and our customers’ security teams.
You will be responsible for the entire post‑sales lifecycle, ensuring our AI agents are perfectly tuned, integrated, and delivering undeniable ROI from day one.
- The "Trust" Architect: Move customers from "AI Skepticism" to "Autonomous Confidence." You will explain the reasoning logic of our AI agents to seasoned SOC Managers and CISOs.
- Strategic Onboarding: Lead high‑velocity deployments, integrating our platform with complex SIEM, EDR, and Cloud environments (AWS/Azure/GCP).
- Value Realization: Conduct Executive Business Reviews (EBRs) that prove value through data‑tracking metrics like "Mean Time to Investigate" (MTTI) reduction and analyst hours reclaimed.
- Product Feedback Loop: Act as the "Voice of the SOC" to our Engineering team. You’ll identify where the AI is "hallucinating" or where integrations are failing and help prioritize the roadmap.
- Expansion & Retention: Own the Net Retention Rate (NRR) for your book of business, identifying opportunities for customers to deploy more "agents" across their infrastructure.
Who You Are
- 3–5+ years in a technical, customer‑facing role within Cybersecurity (CSM, Sales Engineer, or TAM).
- Deep SecOps Knowledge: You speak the language of the SOC. You know what a True Positive looks like and how an incident lifecycle functions.
- API & Integration Fluency: You aren’t afraid to look at a JSON payload or troubleshoot a webhook.
- The "Startup Gear": You thrive in ambiguity and enjoy building processes where none exist.
- Fluent in French and English
Why join us
- Join a fast‑growing AI startup revolutionising cybersecurity “, “datePosted”: “2026-04-17”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Qevlar AI”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__407085284__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=794” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Ledbury” } } }
About Qevlar AI
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
We are looking for a Technical Customer Success Manager who is tired of “checking‑in” and ready to “solve”.
We are moving beyond traditional SOAR playbooks into the era of Agentic AI.
What You Will Do
You won’t just manage a relationship; you will be the primary architect of trust between our autonomous SOC analysts and our customers’ security teams.
You will be responsible for the entire post‑sales lifecycle, ensuring our AI agents are perfectly tuned, integrated, and delivering undeniable ROI from day one.
- The “Trust” Architect: Move customers from “AI Skepticism” to “Autonomous Confidence.” You will explain the reasoning logic of our AI agents to seasoned SOC Managers and CISOs.
- Strategic Onboarding: Lead high‑velocity deployments, integrating our platform with complex SIEM, EDR, and Cloud environments (AWS/Azure/GCP).
- Value Realization: Conduct Executive Business Reviews (EBRs) that prove value through data‑tracking metrics like “Mean Time to Investigate” (MTTI) reduction and analyst hours reclaimed.
- Product Feedback Loop: Act as the “Voice of the SOC” to our Engineering team. You’ll identify where the AI is “hallucinating” or where integrations are failing and help prioritize the roadmap.
- Expansion & Retention: Own the Net Retention Rate (NRR) for your book of business, identifying opportunities for customers to deploy more “agents” across their infrastructure.
Who You Are
- 3–5+ years in a technical, customer‑facing role within Cybersecurity (CSM, Sales Engineer, or TAM).
- Deep SecOps Knowledge: You speak the language of the SOC. You know what a True Positive looks like and how an incident lifecycle functions.
- API & Integration Fluency: You aren’t afraid to look at a JSON payload or troubleshoot a webhook.
- The “Startup Gear”: You thrive in ambiguity and enjoy building processes where none exist.
- Fluent in French and English
Why join us
- Join a fast‑growing AI startup revolutionising cybersecurity …