Experienced Software Engineer – Network Enablement

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

Job Description

The Network Enablement team at Plaid focuses on enhancing network effects by improving data sharing safety, richness, and value for all ecosystem participants. They build the Consent & Insights Platform, which is fundamental for consumer data control, regulatory compliance for banks and fintechs, and generating insights for an open and inclusive financial system. The team operates across three key areas: the Consent Platform for data modeling and user experiences, Data-Insight & Risk-Management Products for analytics and ML insights, and Open-Banking Tokenization Services for simplifying connectivity and reducing risk. The role involves architecting and deploying reliable backend services at scale, 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. This includes collaborating with various departments and external bodies, driving design excellence, and mentoring senior engineers.
Must Have:
  • 10+ years designing distributed systems
  • 3+ years leading multiple teams
  • Deep Golang/Kafka/SQL/NoSQL proficiency
  • Experience with Feature Stores
  • ML training/serving pipelines experience
  • Cloud-native architectures knowledge
  • Data-intensive product building track record
  • Strong product sense
  • Mentoring and team creation passion
Perks:
  • Equity and/or commission
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • 401(k)

Add these skills to join the top 1% applicants for this job

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The Network Enablement team’s mission is to expand Plaid’s network effects by making data sharing safer, richer, and more valuable for every participant in the ecosystem. We build Plaid’s 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 Plaid’s 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 Plaid’s 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


The target base salary for this position ranges from $226,800/year to $400,000/year in Zone 1. The target base salary will vary based on the job's location. 

Our geographic zones are as follows:
Zone 1 - New York City and San Francisco Bay Area 
Zone 2 - Los Angeles, Seattle, Washington D.C.
Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
Zone 4 - Raleigh-Durham and all other US cities

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

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