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Engineering Manager - User Foundations

United States, San Francisco 214800.00 - 366000.00 USD / Year · Job Posted January 25, 2026
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Job Description

Plaid’s authoritative source of truth for the user lifecycle: powering recognition, authentication, and the data models behind Plaid’s newest ML-based insights products (LendScore, Protect, etc.). We build the APIs, systems and data models that let Plaid products deliver user-level intelligence at scale. At the center of our work is the living graph that represents people’s entire financial lives; the largest dataset at Plaid! This links all of Plaid’s users, identities, accounts, and transactions. We operate it reliably at global scale for some of the world’s largest companies, including Google, Meta, Shopify, Square, Robinhood, and Venmo. The team owns 3 core pillars: The User Graph: Defines Plaid’s global user and maintains the graph linking identities, accounts, and transactions, exposed via internal APIs for product development and ML inference; The User API: Plaid’s newest API surface, enabling easy multi-product integration and powering fraud prevention, credit decisioning and pre-qualification capabilities, and other data partner insights; The User Decisioning Layer, which powers returning user recognition and authentication across Link and API-only experiences. We tackle hard problems in identity, graph integrity, and trust so product, ML, and data teams can build reliable fraud, credit, and financial management experiences at U.S. financial network scale.

Job Responsibility

  • Lead a team of 6 engineers, ranging from mid-level to Staff, developing them through clear goal setting, coaching, and feedback
  • Define and drive the long-term strategy for this foundational area, in close partnership with technical and product leaders across Plaid
  • Collaborate with cross-functional partners to identify high-leverage opportunities, shape the roadmap, and dive deep into technical design and execution details to ensure consistent delivery of high-impact business outcomes
  • Uphold a high bar for technical quality and delivery velocity, leading by example

Requirements

  • 8+ years of industry experience, that includes time as a Staff-level engineer before transitioning into management
  • 1+ years of engineering management experience
  • Deep experience designing scalable, reliable architectures that support real-world products at scale
  • Track record of building and growing high performing engineering teams (either as an engineer or a manager)

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