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For Companies At a Glance
- Tasks: Lead customer success in cybersecurity, ensuring AI solutions deliver real value.
- Company: Fast-growing AI startup revolutionising cybersecurity with innovative technology.
- Benefits: Flexible work options, career growth opportunities, and a passionate team.
- Other info: Join us in building the future of cybersecurity!
- Why this job: Make a real impact on security teams while working with cutting-edge AI.
- Qualifications: 3-5+ years in a technical customer-facing role and deep SecOps knowledge.
The predicted salary is between 36000 - 60000 £ per year.
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. We have deployed our solution with major enterprises such as Sodexo and GlobalConnect, and leading MSSPs like Orange Cyberdefense. We have expanded to the US market with a growing North American presence and 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 prioritise 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.
- Make a real impact: your work directly improves security teams’ efficiency.
- Work with passionate people: we’re a team of passionate cybersecurity and AI experts.
- Flexible work environment: Remote, hybrid, or in-office, whatever works best for you.
- Career growth opportunities: as we scale, so do the opportunities to take on more responsibility.
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 process
- Introduction Call
- Hiring Manager Interview
- Case Study
- Culture fit
- References
- Offer
Fully autonomous automation for defensive cybersecurity teams (SOC). Explainable AI. Agnostic approach. No playbooks needed.
Customer Success Manager - Cybersecurity in Ledbury employer: Qevlar AI
Contact Detail:
Qevlar AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Success Manager - Cybersecurity in Ledbury
✨Tip Number 1
Network like a pro! Reach out to folks in the cybersecurity space, especially those who work at Qevlar or similar companies. Use LinkedIn to connect and engage with their posts – it’s a great way to get noticed and show your interest.
✨Tip Number 2
Prepare for the interview by understanding Qevlar's mission and products inside out. Be ready to discuss how you can help transition customers from 'AI Skepticism' to 'Autonomous Confidence' – that’s what they’re all about!
✨Tip Number 3
Showcase your technical skills during interviews. Be prepared to talk about your experience with SIEM, EDR, and Cloud environments. If you can demonstrate your fluency in APIs and integrations, you’ll definitely stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Qevlar.
We think you need these skills to ace Customer Success Manager - Cybersecurity in Ledbury
Some tips for your application 🫡
Show Your Passion for Cybersecurity: Let us see your enthusiasm for cybersecurity in your application! Share any relevant experiences or projects that highlight your commitment to the field. We love candidates who are genuinely excited about making a difference in this space.
Tailor Your Application: Make sure to customise your CV and cover letter for the Customer Success Manager role. Highlight your technical skills and experience in customer-facing roles, especially in cybersecurity. We want to see how you can be the 'Trust Architect' we’re looking for!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate candidates who can communicate complex ideas simply, just like you would with a SOC Manager or CISO.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Qevlar AI
✨Know Your Cybersecurity Stuff
Make sure you brush up on your cybersecurity knowledge, especially around SOC operations and AI applications. Be ready to discuss specific incidents and how you would handle them, as this will show your understanding of the role and its challenges.
✨Showcase Your Technical Skills
Since this role requires API and integration fluency, be prepared to talk about your experience with JSON payloads and troubleshooting webhooks. You might even want to bring examples of past projects where you successfully integrated complex systems.
✨Demonstrate Your Problem-Solving Mindset
Qevlar is looking for someone who can move beyond traditional methods. Share examples of how you've tackled ambiguous situations in previous roles, particularly in customer success or technical environments. Highlight your ability to build processes from scratch.
✨Prepare for Value Realisation Discussions
Understand key metrics like Mean Time to Investigate (MTTI) and be ready to discuss how you would demonstrate ROI to clients. Think about how you can help customers transition from scepticism to confidence in AI solutions, as this is crucial for the role.