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全职 Security Product Manager 工作, 薪水, Cygnify 公司招聘中 - Ricebowl

Security Product Manager

Cygnify

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

Role: Security Product Manager

Location: Singapore


We are partnering with a leading organisation to hire a Security Product Manager to drive end-to-end security solutions across API security, DevSecOps, cloud workloads, and AI threat detection in a multi-cloud environment.


You will act as the bridge between security engineering and product, translating complex security capabilities into scalable, customer-centric solutions. This role focuses on use case definition, product roadmap, and productisation of security innovations.


Key Responsibilities

  • Define and connect security use cases across API security, cloud workloads, Kubernetes, and AI pipelines
  • Build and manage the security product roadmap, balancing innovation and business needs
  • Translate real-world threats (API abuse, container escape, AI attacks) into product features
  • Drive API security capabilities (authentication, rate limiting, anomaly detection)
  • Integrate security across DevSecOps pipelines (CI/CD, policy-as-code, SAST/DAST)
  • Define product requirements, user stories, and success metrics
  • Collaborate with engineering, DevSecOps, and cloud teams to deliver scalable solutions
  • Support productisation of POCs and internal security innovations into production-ready features


Requirements

  • 5+ years of product management experience in security, cloud, or platform domains
  • Strong understanding of cloud platforms (AWS + Azure or GCP)
  • Experience with Kubernetes security (RBAC, runtime security, network policies)
  • Knowledge of API security (OAuth, JWT, OWASP API Top 10)
  • Familiarity with DevSecOps tools and CI/CD pipelines
  • Hands-on exposure to Terraform, policy-as-code, or security tooling
  • Basic coding knowledge (Python or Go)
  • Ability to translate technical security concepts into product strategy


Good to Have

  • Experience in AI/LLM security or adversarial ML
  • Exposure to runtime security (eBPF, Falco)
  • Background in security engineering or platform engineering

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