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 aims to enhance network effects by making data sharing more secure, valuable, and informative for all ecosystem participants. They develop Plaid’s Consent & Insights Platform, which is crucial for consumers controlling their financial data, enabling financial institutions to comply with regulations, and generating insights that promote open finance. This role involves architecting and deploying highly reliable backend services at scale for consent modeling, account tokenization, and API exposure. It also includes leading the design and implementation of AI/ML systems for fraud analytics, risk signals, and user insights. The position requires owning the technical vision for Plaid’s financial consent and network insights stack, collaborating with various departments, and acting as a cultural force multiplier to drive design excellence and mentor senior engineers.
Good To Have:
- Owning problems end-to-end
- Balancing product iteration with platform thinking
- Working at the intersection of backend scale, data infrastructure, and ML
- Shaping emerging open-finance standards
- Advocating for AI/ML in daily work and product roadmap
Must Have:
- 10+ years designing distributed systems
- 3+ years leading multiple teams
- Deep proficiency in Golang or similar
- Proficiency in Kafka, SQL + NoSQL stores
- Experience with Feature Stores
- Experience with ML training/serving pipelines
- Experience with cloud-native architectures
- Track record of building data-intensive products
- Strong product sense
- Passion for mentoring
Perks:
- Medical
- Dental
- Vision
- 401(k)
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.
- 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.
- 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
$226,800.00 - $400,000.00 per year
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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