Drimva

PayPal

Staff Product Security AI Engineer

$152K–$239K

Austin, Texas, United States of America +2 · Staff · Full-time · Posted Oct 1, 2026

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

About the job

Leads hands-on product security work to secure AI-assisted development and AI-enabled systems, and use AI to improve vulnerability detection and remediation across PayPal.

What you'll do

  • Build and operate security scanning and guardrails across source control, CI/CD, package ecosystems, and developer platforms; tune controls and improve remediation guidance.
  • Write and review code, APIs, detection rules, and automation to process findings and enforce security policy.
  • Partner across engineering, product, platform, and security teams to define AI security controls and improve vulnerability detection, validation, and remediation.

What they ask for

  • Hands-on familiarity with application security tools such as SAST, DAST, SCA, WAF, or Burp Suite.
  • Programming experience in at least one of Ruby, Java, Python, JavaScript, or Swift.
  • Hands-on experience with at least one major cloud vendor: AWS, Azure, or GCP.
  • Understanding of authentication and authorization protocols such as OAuth 2.0 and SAML.

Nice to have

  • Familiarity with security considerations for AI/LLM development tools, AI-assisted coding, or model and tool supply chains.
  • Experience with GCP, Kubernetes, Terraform, and other cloud-native technologies.

Pay

Austin, Texas: USD 160,500.00 - 238,700.00 Annually (base salary); Chicago, Illinois: USD 160,500.00 - 238,700.00 Annually (base salary); Scottsdale, Arizona: USD 152,500.00 - 226,600.00 Annually (base salary)

Tools

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

AI focus

Secure AI-assisted software development and AI-enabled products and agentic systems; apply AI to improve vulnerability detection and remediation.

Model-written summary · the original posting is authoritative

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