Senior Technical Account Manager
il y a 7 heures
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 two years, we have:
Raised a $14m initial round from EQT Ventures and Forgepoint Capital
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
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 doImplementation & time‑to‑valueLead 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
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
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
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
MSSP experience
Startup / high‑growth environment
Experience with AI-driven security tooling and evaluation/quality loops
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
Intro Call
Hiring Manager Interview
Case Study
Culture fit
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