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Engineering Manager - Payment Risk

United States, New York 214800.00 - 366000.00 USD / Year · Job Posted December 11, 2025
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Job Description

We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system. Plaid’s Payment Risk team is building the future of bank payment risk tools and solutions, with the current version of our products already in heavy use by many of the largest names in fintech and beyond. We use proprietary AI and ML solutions to offer intelligent insights and decisions that save our customers billions of dollars, and are heavily investing in improving the power and reach of these solutions. In this role, you will lead a team of engineers responsible for building and maintaining the infrastructure and systems that power both the offline and online components of the Signal Risk Platform. This role involves close partnership with the ML and data science team developing the AI and ML models that generate the transaction risk scores for customers, as well as collaboration with product counterparts to define the strategy, vision, and concrete roadmaps for both areas. A key part of your work will be to design and build APIs and Dashboard experiences used by thousands of Plaid customers, and to partner with the engineering team on technical planning and execution, ensuring the platform maintains high reliability (many 9's) and performs up to customer expectations for critical money movement flows.

Job Responsibility

  • Set and execute on technical strategy across systems, data, and ML infrastructure
  • Set and maintain a high bar for quality and velocity for your team, leading by example and getting in the weeds of what your team is building
  • Set and hit ambitious goals that represent delivering value to our customers and building robust foundations
  • Hire, mentor and grow engineers across a range of seniority levels
  • Run team process, including micro and macro-execution and collaboration across functions & teams

Requirements

  • 2+ years of engineering management experience with significant experience as a software engineer
  • Experience owning a production product and working with a product manager and/or business partners to drive business impact
  • Deep experience with distributed architecture and systems
  • Track record of building and growing high performing engineering teams
  • Experience working with machine learning-based technology and/or products, including knowledge of ML & data data infrastructure

What we offer

  • medical
  • dental
  • vision
  • 401(k)

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