Experienced Engineering Manager, Network Enablement and Access (NEA)

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.

You'll lead NEA's 50+ engineering organization across eight teams, partnering with our Product Area Lead to co-own strategy and execution spanning access platform development, network enablement and intelligence, integration operations, and solutions engineering.

You'll manage six engineering managers directly, own the engineering hiring bar, and be the senior engineering voice in company-wide strategy discussions. You'll set technical direction across the org, deciding where to invest in foundations vs. product delivery and making those tradeoffs with conviction.

NEA is in the middle of an AI transformation. We've already seen dramatic results from leading AI transformations in integration development, and we're pushing toward agentic systems that can observe, diagnose, and repair issues autonomously. You should have a strong point of view on how AI changes the way engineering orgs build software.