Senior Staff Software Engineer – Network Enablement (SF and NYC)

undefined ago • 10 Years + • Network Engineering • $226,800 PA - $400,000 PA

Job Summary

Job Description

The Network Enablement team at Plaid expands network effects by making data sharing safer, richer, and more valuable. They build the Consent & Insights Platform, which allows consumers to control financial data flow, helps banks and fintechs meet regulations, and provides network-wide insights for an open financial system. This role involves architecting and shipping reliable backend services for consent and account tokenization, leading AI/ML system design for fraud analytics and risk signals, and owning the technical vision for Plaid's financial consent and network insights stack, collaborating with Legal, Security, Product, and external standards bodies.
Must have:
  • Architect and ship highly reliable backend services at scale.
  • Lead the design and implementation of AI/ML systems for fraud graph analytics, risk signals, and user primacy insights.
  • Own technical vision for the financial consent and network insights stack.
  • Collaborate across Legal, Security, Product, and external standards bodies.
  • Drive design excellence and steward blameless on-call practices.
  • Mentor senior ICs to elevate engineering craft.
  • Own problems end-to-end, from ambiguous regulatory text to a production system serving millions.
  • Balance rapid product iteration with platform thinking.
  • Work at the intersection of backend scale, data infrastructure, and ML.
  • Shape emerging open-finance standards and industry best practices.
  • Advocate for AI/ML in engineer daily work and product roadmap.
Perks:
  • comprehensive benefit plan
  • medical insurance
  • dental insurance
  • vision insurance
  • 401(k)
  • equity compensation
  • commission

Job Details

We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system.

The Network Enablement team’s mission is to expand network effects by making data sharing safer, richer, and more valuable for every participant in the ecosystem. We build the Consent & Insights Platform: the backbone that lets consumers control how their financial data flows, enables banks and fintechs to meet evolving regulations, and unlocks network‑wide insights that make finance more open and inclusive.

To achieve this goal, we operate across three intertwined domains:

  • Consent Platform – Core data model, abstractions, enforcement layer, and user experiences that power seamless, compliant data sharing.
  • Data‑Insight & Risk‑Management Products – Real‑time and batch analytics and ML insights that surface fraud signals, growth metrics, and operational dashboards for banks, fintechs, and data partners.
  • Open‑Banking Tokenization Services – Industry leading account‑tokenization APIs that simplify connectivity, reduce risk, and unlock new monetization paths for financial institutions.

Architect and ship highly reliable backend services at scale—modeling consent, tokenizing accounts, and exposing APIs used billions of times annually by fintechs, banks, and end users. Lead the design and implementation of AI/ML systems for fraud graph analytics, risk signals, and user primacy insights powering mission-critical financial workflows.

Own technical vision for the financial consent and network insights stack, collaborating across Legal, Security, Product, and external standards bodies. A cultural force multiplier—driving design excellence, stewarding blameless on-call practices, and mentoring senior ICs to elevate engineering craft across the org.

Responsibilities

  • Owning problems end‑to‑end, from ambiguous regulatory text to a production system serving millions.
  • Balancing rapid product iteration with platform thinking—building abstractions that scale from a single fintech to tier‑1 banks.
  • Working at the intersection of backend scale, data infrastructure, and ML, where decisions ripple through the entire network.
  • Seeing your designs shape emerging open‑finance standards and industry best practices.
  • Being the advocate of AI/ML in engineer daily work and product roadmap.

Qualifications

  • 10 + years designing distributed systems
  • 3 + years leading multiple teams
  • Deep proficiency in Golang (or similar), Kafka, SQL + NoSQL stores, Feature Stores, ML training/serving pipelines, and cloud‑native architectures
  • Track record of building data‑intensive products (ETL, streaming, ML‑serving)
  • Strong product sense; comfortable partnering directly with PMs, Counsel, and external regulators
  • Passion for mentoring and creating inclusive, high‑agency teams

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