Engineering Manager (Security)

Role overview

Join Plaid as an Engineering Manager for Security Engineering. You will lead a team of security engineers, build and operate foundational security capabilities, and partner with cross-functional engineering leaders to drive the roadmap for Plaid’s security platform capabilities.

Key missions

• Lead and mentor a team of security engineers, fostering a high-performance, collaborative, and psychologically safe culture.
• Own the technical roadmap and strategic direction for core security capabilities across:
  • encryption
  • authentication/authorization (authN/authZ)
  • CI/CD security
  • data security
  • network security
• Partner with product and platform engineering to deliver scalable, self-service security infrastructure across teams with different security maturity levels.
• Represent the team’s work to senior leadership and drive pragmatic security decisions that preserve developer velocity.

Requirements

• 8–14 years overall software engineering experience, with ~6+ years in engineering management.
• Strong software engineering background; ability to understand, evaluate, and guide work across auth systems, encryption, identity/access services, and related security domains.
• Experience managing engineers in a security, platform, or infrastructure context.
• Hands-on experience building scalable capabilities such as:
  • user and service authN/authZ
  • encryption/secrets management
  • internal identity management
  • in an AWS and Kubernetes (K8s) environment.
• Experience architecting security capabilities and controls with developer experience principles.
• Strong influence and stakeholder skills (drive maturity gains via influence, not authority).
• Empathetic communication and strong cross-functional relationship building.
• Fintech or high-technology experience adjacent to payments/financial services.

Nice-to-haves / additional signals

• Familiarity with AI security and governance risk controls designed to preserve developer velocity.
• Experience securing AI/ML/Agentic platforms (e.g., tool-calling, MCPs, service identities).
• Track record building scalable platform paved roads used broadly across product-focused engineering organizations.

Location

• Full remote