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Terac logoTeracVerified· Posted 2d ago

Fintech Engineering Leaders: Interview on Card Issuing Platforms

Type
Per-task
Location
Remote
FintechCard IssuingProduct ManagementEngineering LeadershipPayments
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About this role

What We're Researching

We're running a paid study on the technical infrastructure behind modern consumer card programs. Our goal is to map out the core challenges fintech teams face when building and scaling these systems. We want to understand how different architectures and vendor relationships impact overall platform reliability.

How It Works

You will join a remote video interview to walk us through your approach to managing card issuing infrastructure. We will ask you to describe your technical stack and evaluate how you integrate with payment service providers. You will share feedback on the pain points in your current workflow and discuss potential improvements. The conversation flows as a structured discussion guided by a moderator.

Who This Is For

We are looking for product managers, engineering leaders, and technical directors at fintech companies. You should have direct experience managing consumer card programs and working with modern payment service providers. We welcome professionals from both startup and enterprise environments who oversee issuing infrastructure.

Responsibilities

  • Walk us through your current technical stack for card issuing.
  • Describe how your team evaluates and integrates with payment service providers.
  • Discuss the day-to-day challenges of managing a consumer card program.
  • Share feedback on workflow improvements and infrastructure bottlenecks.

Requirements

  • Currently working as a product or engineering leader in the fintech space.
  • Direct experience managing consumer card issuing programs.
  • Familiarity with technical integrations for payment service providers.
  • Comfortable discussing high-level architecture and vendor decisions.
About Terac

A well-funded, well-reviewed newcomer with strong per-study pay and a genuinely simple apply flow. The usual caveat: work depends on active studies matching your field.

AITrainerGigs aggregates this listing from Terac.