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Director Of Security Engineering

PParloa
Seniority
Director
Model
Remote
Sector
AI
Salary
Undisclosed
Contract
Full-Time

About the role

As Director of Security, you won't just manage a team. You'll shape how a fast-scaling AI company thinks about security from the ground up: building the strategy, the culture, and the systems that protect our platform, our customers, and the data they entrust to us. This is a builder role where you'll define what security looks like at an AI-native company.

What you'll do

  • Define and execute the product and platform security strategy — building the programs, tooling, and practices that scale with a fast-growing AI platform
  • Lead and grow the security team — hiring exceptional talent, developing senior leaders, and fostering a culture where security is every engineer's responsibility
  • Own application security across the SDLC — embedding secure coding practices, SAST/DAST/SCA tooling, threat modeling, and architectural security reviews into engineering workflows
  • Design and implement security architectures for cloud-native applications, Kubernetes workloads, and CI/CD pipelines
  • Build and run the detection and response program — developing threat detection capabilities, tuning alerting and telemetry, and leading incident investigations
  • Drive cloud security posture across our AWS/GCP infrastructure, covering identity and access, network segmentation, secrets management, and infrastructure-as-code security
  • Be Parloa's product security voice in customer engagements — fielding security questionnaires, supporting enterprise due diligence, and translating technical posture into customer confidence
  • Advance AI-specific security practices — securing LLM pipelines, model interactions, prompt injection surfaces, and data handling across the platform

What you'll need

  • 12+ years in security, with at least 5 years leading security teams, ideally in product or application security at a SaaS or platform company
  • Deep hands-on experience securing cloud-native, containerized environments (AWS/GCP, Kubernetes) — you can still roll up your sleeves when it matters
  • Strong application security background — you understand secure architecture, common vulnerability classes, and how to shift security left without slowing engineering down
  • Proven detection & response expertise — you've built or significantly improved SOC/detection capabilities and led incident response in production environments
  • Effective communicator across audiences — you can translate product security risk into business terms for executives and customers, and dive into technical detail with engineers
  • Familiarity with compliance frameworks (SOC 2, ISO 27001) as they relate to product security controls
  • Genuine curiosity about AI security — experience securing LLM-based systems is a strong plus, but a sharp instinct for emerging risk is what counts
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