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