Senior Manager, Product Security
New
J
JobgetherSecurity & IT
Remote work opportunity within the United States.Full-TimeManager
SalaryTarget annual compensation of $250,000–$275,000, plus equity.
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Job Details
- Experience
- 8+ years of experience in application security, product security, or closely related security engineering roles; 5+ years of people management or technical leadership experience.
- Required Skills
- AWSDockerKubernetes
Requirements
- 8+ years of experience in application security, product security, or related security engineering.
- 5+ years of people management or technical leadership experience.
- Deep technical knowledge of secure architecture, threat modeling, OWASP Top 10, and secure SDLC.
- Experience securing cloud-native SaaS products and containerized infrastructure (Docker, Kubernetes).
- Proficiency with AWS or similar cloud environment security.
- Experience using AI/automation for security coverage, including vulnerability triage or code review.
- Working knowledge of modern programming languages (Ruby, TypeScript, or Rust preferred).
- Experience with SAST, DAST, SCA, secrets detection, and CI/CD security integrations.
- Background in operating bug bounty or vulnerability disclosure programs.
- Strong communication skills for reporting security risks and metrics to executive leadership.
- Experience securing AI/ML systems or agentic workflows is highly valued.
Responsibilities
- Define and execute the product security strategy, roadmap, operating model, and success metrics.
- Lead, hire, mentor, and develop a team of product security engineers.
- Partner with Engineering, Product, and Infrastructure teams to provide risk-based security guidance.
- Establish scalable security practices including threat modeling, architecture reviews, and secure SDLC.
- Drive the product vulnerability management lifecycle, including penetration tests and bug bounty programs.
- Build automated security tooling and CI/CD integrations to enable secure-by-default development.
- Provide product security leadership during incidents and coordinate investigations.
- Develop AI/ML security controls to address risks like prompt injection and model abuse.
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