Senior Engineering Manager, Risk & Payments Platform (Equity)

Risk Hub; New York, San Francisco (NY, CA); On-site; USD 220,000 - 350,000; Full time

Benefits offered by this job

Competitive compensation and equity

High-end configured work computers

Flexible paid time off

Fully covered healthcare

One Medical access

Paid parental leave

Industry-leading technology access

Job summary

Imprint is seeking a Senior Engineering Manager to lead the Risk Engineering team, owning real-time transaction authorization, fraud scoring, and the underwriting pipeline. You will shape platform design, collaborate with Credit, Fraud, and Compliance, and drive delivery with a strong, safety-conscious engineering culture.

You will mentor senior engineers, maintain architectural integrity, and leverage AI tools to assess feasibility and guide prioritization.

Qualifications

• 5+ years of engineering management experience.
• Experience scaling latency-sensitive distributed systems.
• Strong technical credibility and hands-on engagement or AI tooling familiarity.

Responsibilities

• Own real-time authorization and fraud decisioning: domain builds with millisecond decisions.
• Own the underwriting pipeline: evaluate credit, fraud, identity, and compliance checks.
• Make vendor decisions and weigh build-vs-buy with latency and cost data.
• Prioritize across cross-functional surfaces: Credit, Fraud, Product, Compliance.
• Lead with technical credibility and guide a strong engineering team.

Skills

Engineering management

Staff-level ICs

Latency-sensitive systems

AI tools usage

Clear communication

Tools

Go

MySQL

DynamoDB

Temporal

Kafka

Kubernetes

AWS

Job description

Imprint is seeking a Senior Engineering Manager to lead the Risk Engineering team, owning real-time transaction authorization, fraud scoring, and the underwriting pipeline. You will shape platform design, collaborate with Credit, Fraud, and Compliance, and drive delivery with a strong, safety-conscious engineering culture.

You will mentor senior engineers, maintain architectural integrity, and leverage AI tools to assess feasibility and guide prioritization.