FinOps Program Manager
Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.
Maintainer signals as of 9/2/2026
Funding history
Projects
About Plaid Inc.
Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.
Skills
Candidate Availability
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