Payments Engineering Manager — Lead 3 Teams & Reliability

JoinStartup; New York (NY); On-site; USD 190,000 - 230,000; Full time

Job summary

Plaid in New York City is seeking an Experienced Engineering Manager for Payments to lead the Payments organization, spanning account verification, risk scoring, and money movement infrastructure. The role is based in Plaid's NYC office and leverages the a16z Speedrun talent network.

You will guide three engineering managers, shape technical direction across verification infrastructure, risk platforms, ML/data pipelines, and customer-facing APIs, while maintaining a high reliability bar for

Qualifications

• Experience leading engineering teams in payments or fintech environments.
• Delivery-focused with a track record of reliability and scale.

Responsibilities

• Set engineering strategy for Payments in partnership with Product Area Lead, balancing product delivery against foundational investment.
• Manage three engineering managers and build the management bench.
• Own technical direction for verification infrastructure, Signal risk platform, ML/data pipelines, money movement rails, and customer-facing APIs.
• Maintain reliability bar for systems handling billions in monthly transactions.
• Drive recruiting and hiring across the organization; set hiring bar and own pipeline health.
• Partner cross-functionally with product, data science, operations, compliance, and customers.

Skills

Engineering Management

Team Leadership

ACH

RTP

FedNow

Payment Systems

Risk Modeling

Machine Learning

Fraud Detection

High-Reliability Systems

API Design

Data Pipelines

Compliance

Cross-functional Leadership

Job description

Plaid in New York City is seeking an Experienced Engineering Manager for Payments to lead the Payments organization, spanning account verification, risk scoring, and money movement infrastructure. The role is based in Plaid's NYC office and leverages the a16z Speedrun talent network.

You will guide three engineering managers, shape technical direction across verification infrastructure, risk platforms, ML/data pipelines, and customer-facing APIs, while maintaining a high reliability bar for