Product Security Engineer II

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

The Application Security team helps affirm build and launch products that earn customer trust, meet compliance obligations, and reduce business risk. We partner closely with product, engineering, infrastructure, risk, compliance, and other teams to identify security risks early, recommend pragmatic mitigations, and help teams find safe paths to launch.

We are looking for an early-career Application Security Engineer who is curious, collaborative, and comfortable working with code. You will help assess application risks, support vulnerability management efforts, partner with engineering teams on secure design decisions, and contribute lightweight tooling, automation, and code-informed analysis that helps App Sec scale across affirm.

This role is a great fit for someone who has hands-on software or security experience, enjoys reading and reasoning about code, is actively developing offensive security skills, and wants to apply those skills in a product-minded, risk-based way.

• Partner with product and engineering teams to identify application security risks and help frame them as clear business risks, launch options, and recommended next steps.
• Read application code, configuration, pull requests, logs, and documentation to understand how systems work and where security risks may exist.
• Contribute small code changes, scripts, detections, tests, secure defaults, or automation that improve App Sec workflows and reduce recurring issues.
• Work in Git Hub to review code changes, understand engineering context, participate in pull request discussions, track remediation work, and collaborate with engineers.
• Help evaluate vulnerabilities from internal testing, bug bounty reports, security tooling, penetration tests, and other sources; partner with teams to prioritize and remediate issues based on real-world risk.
• Contribute to vulnerability management workflows, including triage, validation, severity assessment, remediation guidance, tracking, and reporting.
• Translate recurring security findings into repeatable mechanisms such as secure coding guidance, checklists, paved paths, lightweight automation, detection logic, reusable review patterns, or developer-facing documentation.
• Work with engineers to understand system designs, data flows, trust boundaries, authentication and authorization models, code paths, and potential abuse cases.
• Communicate security issues clearly to both technical and non-technical audiences, including the risk, tradeoffs, recommended mitigations, and residual risk.
• Build strong relationships across affirm teams and influence security outcomes without relying on formal authority.
• Help connect App Sec work to customer trust, regulatory/compliance expectations, operational resilience, and business outcomes.
• Continue developing hands-on offensive, defensive, and software engineering skills through practical work, labs, tooling, research, certifications, or contributions to internal security programs.

• 0–2+ years of experience in application security, software engineering, security engineering, vulnerability management, penetration testing, security operations, or equivalent practical experience.
• Foundational programming ability in one or more languages such as Python, JavaScript/Type Script, Kotlin, or similar.
• Comfort reading, navigating, and reasoning about code, even in unfamiliar codebases.
• Experience using Git and Git Hub or similar version-control workflows, including branches, commits, pull requests, code review, issues, or project tracking.
• Some hands-on experience building, testing, breaking, or securing software. This could include professional experience, internships, security labs, CTFs, bug bounty work, open-source contributions, personal projects, automation scripts, internal tools, or coursework.
• Ability to write clear, maintainable scripts or small programs to solve practical problems, automate manual workflows, analyze data, validate findings, or improve…