Plaid operates a financial data network and API platform that lets businesses connect to financial institutions and build financial experiences. Its products support account and identity verification, real-time balance and transaction data, investment and liability data, income and underwriting workflows, fraud and AML risk checks, and multi-rail bank payments. It serves developers, businesses, financial institutions, platforms, lenders, banks, and consumer-facing financial-product providers.

View jobs by Plaid

Skills

Candidate Availability

Hybrid · New York · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

Own financial accountability and visibility across engineering-related spend. Partner with Engineering, Product, and Finance to make spending transparent and aligned with business priorities, while enabling teams to understand, own, and optimize their costs.

Requirements

6–10+ years of relevant experience at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment.
Experience partnering with engineering teams on cloud, data, AI/ML, or SaaS spend decisions.
Understanding of cloud-native architectures, including compute, storage, networking, data pipelines, and managed services.
Strong foundation in cost analysis, forecasting, budgeting, and variance management.
Comfort writing SQL or using AI-assisted tools to explore and validate data.
Experience building clear dashboards and BI artifacts.
Success driving cost-awareness adoption and behavior change.
Experience delivering cross-functional programs without direct authority.
Familiarity with FinOps principles, showback/chargeback, unit economics, and optimization strategies.
Strong communication skills for technical, financial, and executive audiences.

Responsibilities

Monitor and analyze engineering spend across cloud, AI/ML, data platforms, and SaaS.
Identify trends, anomalies, and optimization opportunities.
Build and maintain engineering spend forecasts.
Partner with Finance and engineering leaders on drivers, assumptions, and risks.
Incorporate cost considerations into roadmaps and architectural decisions.
Lead rightsizing, commitment strategy, and workload efficiency initiatives.
Create dashboards and reporting for engineers and executives.
Implement showback, chargeback, unit economics, and cost ownership frameworks.
Partner on tooling and automation for cost visibility and forecasting accuracy.
Drive alignment and behavior change through data-driven decision making.

Benefits

Medical, dental, vision, and 401(k)
Equity