Drimva

PayPal

Sr. Staff Product Security Engineer- AI

$178K–$265K

Chicago, Illinois, United States of America +1 · Senior Staff · Full-time · Posted Sep 10, 2026

Location
Chicago, Illinois, United States of America
Austin, Texas, United States of America
Experience
8+ years relevant experience; requires a Bachelor’s degree OR any equivalent combination of education and experience.
Education
Bachelor’s degree OR any equivalent combination of education and experience.

About the job

Leads Product Security engineering for AI-assisted software development, AI-enabled products and agents, and AI-driven vulnerability discovery and remediation across PayPal.

What you'll do

  • Define and implement scalable AI security strategy, controls, and assurance across products, platforms, and engineering workflows.
  • Review AI applications, models, agents, data flows, and tool integrations; establish safeguards, monitoring, and incident-response requirements.
  • Build AI-enabled vulnerability detection and remediation capabilities, partner across engineering teams, and mentor engineers.

What they ask for

  • Hands-on experience securing AI systems.
  • Deep knowledge of application security vulnerabilities, secure software development, and controls to identify, prevent, and remediate software risk.
  • Strong software-engineering experience building and operating production security tooling, automation, platform services, or developer-facing capabilities.
  • Track record partnering with developers to implement robust security controls.

Nice to have

  • Hands-on familiarity with application security tools such as SAST, DAST, SCA, WAF, or Burp Suite.
  • Experience with cloud environments, CI/CD systems, Kubernetes, Terraform, major cloud vendors, or authentication protocols such as OAuth 2.0 and SAML.

Pay

USD 178,500.00 - 265,100.00 annually (base salary), Chicago, Illinois; USD 178,500.00 - 265,100.00 annually (base salary), Austin, Texas

Tools

SAST, DAST, SCA, WAF, Burp Suite, Ruby, Java, Python

AI focus

Secures AI-assisted development and AI-enabled products and agentic systems, and applies AI to vulnerability discovery, validation, prioritization, and remediation.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)