Staff Product Security AI Engineer

PayPal

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TXScottsdale, AZChicago, IL
Salary
$160,500–$238,700 / yr
Employment
Full-time
Posted
10 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k
This role $200k
$134k $250k
below market most similar roles pay here above market

This role pays more than 63% of similar roles. Most pay $159,157–$220,000 — the blue band above. At the midpoint, this role pays about $200k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About PayPal

PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.

PayPal currently has 77 open roles on FindRole.

Listed pay typically runs $160,500–$238,700 across 71 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Staff Product Security AI Engineer

The Staff Product Security AI Engineer joins the security team to protect active accounts and annual payment volume by leading technical work across three key areas. You will secure AI-assisted software development, protect AI-enabled products and agentic systems, and apply AI to improve vulnerability detection and remediation. This hands-on role involves building scanning and guardrail capabilities across source control, CI/CD, and package ecosystems. You will tune SAST, SCA, and supply chain controls while writing code, APIs, and detection rules. Required skills include proficiency in Ruby, Java, Python, JavaScript, or Swift, along with experience in AWS, Azure, or GCP, Kubernetes, and Terraform. You must understand OAuth 2.0, SAML, and security considerations for LLM development tools to solve complex security challenges within the payment platform.

What you'll do

  • Secure AI-assisted software development and protect AI-enabled products and agentic systems.
  • Apply AI technologies to improve vulnerability detection and remediation at scale.
  • Build and operate scanning and guardrail capabilities across source control, CI/CD, and package ecosystems.
  • Tune SAST, SCA, and supply chain controls while investigating gaps and false positives.
  • Write and review code, APIs, detection rules, and automation to enforce security policies.
  • Evaluate new technical surfaces, including AI/LLM tools, to define appropriate security controls.
  • Partner with engineering and product teams to turn security requirements into scalable controls.
  • Use metrics and feedback to improve the reliability, coverage, and performance of security tools.

What we're looking for

  • 5+ years of relevant experience and a Bachelor’s degree or an equivalent combination of education and experience.
  • Hands-on familiarity with application security tools including SAST, DAST, SCA, WAF, and Burp Suite.
  • Strong programming experience in at least one language such as Ruby, Java, Python, JavaScript, or Swift.
  • Hands-on experience with at least one major cloud vendor such as AWS, Azure, or GCP.
  • Strong understanding of authentication and authorization protocols such as OAuth 2.0 and SAML.
  • Familiarity with security considerations for AI/LLM development tools, AI-assisted coding, or model and tool supply chains.
  • Experience with GCP, complemented by hands-on expertise with Kubernetes, Terraform, and other cloud-native technologies.
  • Ability to work independently and collaborate with software, platform, and security teams with clear communication of technical findings.

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