Plaid

Build and operate security infrastructure that protects Plaid’s systems and sensitive financial data. You’ll develop capabilities spanning identity, authentication, authorization, encryption, and incident response while helping product teams improve their security posture.

Plaid is seeking a Senior Product Security Engineer to help product and engineering teams design, build, and deliver secure applications and services. The role focuses on security architecture, threat modeling, application security, vulnerability assessment, and security automation, including AI-powered applications and agentic workflows.

The Implementation Engineer owns customer integrations from signed contract through production launch, helping technical teams debug, validate, and scale Plaid-powered solutions. This customer-facing technical role also improves the team’s reusable implementation resources and escalates recurring issues to Product and Engineering.

Build and scale the Salesforce-centered technical backbone powering Plaid’s go-to-market operations. This hands-on role combines production Salesforce development, cross-platform integrations, and AI-powered automation for revenue workflows.

Lead the architecture and execution of Plaid’s large-scale Credit Insights platform, building backend systems that deliver cash-flow insights for credit underwriting. You’ll partner with Product, Data Science, and Machine Learning teams while mentoring engineers and shaping the future of credit decisioning.

Join Plaid’s Platform Security team as a Security Engineer focused on protecting AI systems from emerging threats. You’ll design guardrails, manage AI identities, detect prompt injection, and build scalable controls that enable safe AI adoption.

Lead applied machine learning research for Plaid’s fraud detection systems, developing advanced models across graphs, sequential events, images, and video. Translate promising research into production-ready solutions with measurable customer impact.

Lead the development of scalable machine learning infrastructure powering Plaid’s fraud detection products. This role focuses on feature computation, online inference, observability, monitoring, and reliable production ML systems.