About Qevlar AI

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)

Own the technical success of our customers - from implementation to long‑term optimisation. First TAM hire: build the function from the ground up.

Reporting to the CTO. Partnering closely with our Senior CSM (who owns the commercial relationship).

What will you do

Implementation & time‑to‑value

• Lead platform implementations end‑to‑end: connector setup, SIEM/EDR/SOAR integrations, playbook wiring, tuning and validation to maximise accuracy and ROI

• Run technical onboarding: architecture reviews, deployment plans, go‑live checklists, admin/user enablement

Ongoing technical success & support

• Be the trusted technical advisor for enterprise SOC teams and MSSPs

• Own technical support and triage: investigate issues, reproduce/debug, drive resolution, and escalate to engineering when needed

  (This is a platform role - not a managed MDR/IR service.)

• Identify optimisation opportunities: review investigation outputs, diagnose accuracy issues, and improve operational outcomes

Product feedback & function building

• Translate customer feedback into actionable insights for product and engineering (clear problem statements, repro steps, impact, proposed fixes)

• Build the TAM function: playbooks, runbooks, knowledge base, implementation templates, and internal processes

• Help hire and mentor future TAMs as we scale

Who you are 

You have:

• 5+ years in cybersecurity, with hands‑on SOC experience (Tier 2/3) or close work with SOC teams (consulting, delivery, advisory, solutions)

• Real experience building SOAR playbooks / automation workflows

• Strong knowledge of SIEM/EDR/SOAR ecosystems (Splunk, Sentinel, CrowdStrike, SentinelOne, XSOAR…)

• Comfort with APIs / JSON, log investigation, and practical scripting (Python and/or SQL is a strong plus)

• A customer‑facing background (consulting, solutions engineering, TAM, technical advisory)

• Ability to switch between deep technical work and strategic customer conversations

• Fluent English

Bonus points for:

• MSSP experience

• Startup / high‑growth environment

• Experience with AI-driven security tooling and evaluation/quality loops

Why join us

• First TAM hire: define the function, processes, and standards

• Direct feedback loop to product and engineering: your input shapes the roadmap

• Real AI solving a hard operational problem (not chatbot wrappers)

• Serious customer base: enterprises and top‑tier MSSPs

• Growth path: evolve into TAM lead as we scale

• Remote‑friendly, competitive package

Hiring process

1. Intro Call

2. Hiring Manager Interview

3. Case Study

4. Culture fit