Requirements
- 3+ years of experience in cybersecurity, with a proven track record in research analysis, threat intelligence, threat detection engineering, or threat hunting.
- Ability to collect, process, analyze, and interpret large and imperfect datasets to derive actionable insights, and to reach a conclusion you can defend under challenge.
- Proficiency in programming/scripting languages, with a default instinct to automate a repetitive problem rather than repeat it.
- Working knowledge of enterprise security controls - EDR, NGFW, WAF, CNAPP and cloud security, vulnerability scanners - and how each one actually mitigates risk in practice.
- Experience with network/security-related data analysis.
- Proficiency in SQL and TCP/IP network fundamentals.
- Comfort working directly with customers. You can hold technical ground with a skeptical security team and explain a finding clearly instead of hiding behind jargon.
- Strong team player with excellent collaboration skills, and experience managing multi-departmental interactions with cybersecurity professionals, engineering teams, and product managers.
- Self-directed, low-ego, and comfortable with ambiguity and the pace of a fast-growing startup.
Experience with the following is a plus
- Extensive experience in GO/Python programming languages
- Pre-sales, professional services, or another customer-facing technical role
- Building internal tooling or automation for a field or go-to-market team
- Agentic and LLM-based workflows, and MCP-style integrations
- Prior experience at an early-stage security startup
At Zafran, people matter! We provide a robust benefits program that includes flexible PTO, health insurance plans (medical, dental, vision), a monthly stipend for phone and internet, 401k, flexible spending account, and a home office stipend when joining!
We also provide access to frontier AI models, including Claude, so every employee can work smarter, move faster, and build an AI-first career from day one.
If you’re curious, fun, and someone who gets things done, we’d love to meet you