Experienced Engineering Manager, Network Enablement and Access (NEA)
AI summary of the role
Lead the Network Enablement and Access (NEA) organization at Plaid, which builds and maintains connections to 10,000+ financial institutions.
What you’ll do
- Lead and grow the NEA engineering team responsible for building and maintaining connections to 10,000+ financial institutions.
- Drive the evolution of NEA from a connectivity-first org to an intelligence platform that turns network data into products data partners value.
- Apply AI to engineering workflows, operational processes, and technical infrastructure to reduce integration costs and improve network health.
- Oversee the full lifecycle of integrations: building new ones, maintaining existing ones at scale, and providing visibility into integration health.
What you’ll bring
- Proven experience as an Engineering Manager leading teams building and maintaining large-scale distributed systems.
- Strong technical background in building and operating integrations or network infrastructure at scale.
- Experience applying AI/ML to improve engineering workflows or operational processes.
- Track record of driving organizational evolution and platform transformation.
Technologies
AI · ML · distributed systems · network infrastructure · integration platform · automated health monitoring · data intelligence
About Plaid
API platform connecting consumer bank accounts to fintech apps; powers account linking, payments, identity, and fraud detection for thousands of fintechs and banks.
Private Late
Source and classification
Internal deployment & tooling · Evidence for this classification:
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid's Network Enablement and Access (NEA) organization is the backbone of the Plaid network. We build and maintain
More from the job description
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid's Network Enablement and Access (NEA) organization is the backbone of the Plaid network. We build and maintain connections to 10,000+ financial institutions, ensuring that every product Plaid offers is powered by reliable, high-quality data access. Our work spans the full lifecycle: building new integrations, maintaining existing ones at scale through automated health monitoring, turning network data into intelligence products for data partners, and giving customers direct visibility into their integration health. NEA is evolving from a connectivity-first org that builds and maintains bank integrations at scale, to an intelligence platform that turns network data into products data partners value as much as connectivity itself. At the same time, we're rethinking how the org itself operates: applying AI not just to our products, but to the engineering workflows, operational processes, and technical infrastructure that underpin everything we ship. We've already dramatically reduced the cost of building new integrations with AI; the next phase extends that same thinking across how we monitor, diagnose, and evolve the network.
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