Security Engineer, Product Security

• Partner with engineering teams to review designs and implementation plans, identifying security risks early and recommending mitigations.
• Perform threat modeling for new features and major changes, helping teams document risks, assumptions, and security controls.
• Identify and help remediate common vulnerability classes across services and APIs (e.g., auth/authz, injection, data exposure, logic flaws).
• Triage and support remediation of vulnerabilities identified through SAST/DAST tools, internal testing, or third-party findings.
• Conduct security testing and validation, including targeted manual testing for high-risk areas.
• Help improve secure development practices by creating reusable guidance, checklists, and secure patterns for engineering teams.
• Contribute to security tooling and automation that improves coverage, reduces false positives, and streamlines security reviews.
• Assist with product security incidents by supporting investigation, impact analysis, and follow-up remediation.
• Communicate security risks clearly and pragmatically, helping teams prioritize effectively and ship safely.
• Document learnings and contribute to evolving product security processes and standards.

• 2–5 years of experience in Product Security, Application Security, or software engineering with a strong security focus.
• Strong understanding of web application and API security fundamentals and common vulnerability classes (OWASP Top 10).
• Experience performing security reviews, threat modeling, or secure architecture assessments for software systems.
• Familiarity with security testing tools and practices (SAST/DAST, dependency scanning, fuzzing, manual testing).
• Comfort reading and reviewing production code in at least one language (e.g., Python, Go, Java, JavaScript/TypeScript).
• Exposure to automated or AI-assisted security tools or workflows, and interest in applying them to improve developer experience and security outcomes.
• Ability to work cross-functionally with engineering teams and communicate findings in a constructive, actionable way.
• Proven ability to drive remediation efforts and follow through on risk reduction outcomes.

• Experience with cloud-native architectures (AWS/GCP/Azure), microservices, Kubernetes, service-to-service authentication, and secrets management.
• Experience tuning security tools to reduce noise and improve signal (e.g., improving rules, baselines, or pipelines).
• Familiarity with secure SDLC practices and security champions programs.
• Exposure to bug bounty / vulnerability disclosure or working with external researchers.
• Experience improving internal security automation or developer workflows (including using AI-assisted tooling).

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.