other
Posted May 8FinOps Program Manager
at Plaid
Remote
Requirements
- This includes cloud infrastructure, AI/ML and data workloads, third-party SaaS tools, and other technical investments that support Plaid’s products and internal platforms.
- Responsibilities - Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities.
- experience working at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment. - Proven
- experience partnering closely with engineering teams to influence decisions involving cloud infrastructure, data platforms, AI/ML workloads, or SaaS spend.
- - Working understanding of modern cloud-native architectures, including core components such as compute, storage, networking, data pipelines, and managed services—enough to engage credibly with engineers on design, tradeoffs, and cost drivers.
- - Comfort working directly with data, including writing SQL (or effectively using AI-assisted tools to do so) to explore datasets, validate assumptions, and answer ad hoc questions. -
- Experience owning and delivering cross-functional programs end-to-end, often without direct authority or a dedicated team. - Familiarity with FinOps principles and practices (e.g., shared ownership, showback/chargeback, unit economics, optimization strategies). - Strong communication skills, with the ability to tailor complex technical and financial concepts for engineering, finance, and executive audiences.
- Nice to Haves - Hands-on familiarity with cloud cost management tools (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management, CloudHealth, Cloudability, or similar). -
- Experience working with or supporting data platforms and AI/ML workloads, including understanding cost drivers for batch processing, streaming, storage, and model training/inference. - Exposure to showback/chargeback models, cost allocation strategies, or product-level unit economics. -
- Experience improving data models or pipelines that support analytics, reporting, or financial attribution. - Familiarity with BI tools such as Mode, Tableau, Looker, or similar—and a strong eye for dashboard usability and design. - Background in a technical role (e.g., engineering, TPM, infra, data, or engineering operations) before moving into a more cross-functional or business-oriented position. -
- Experience operating in a high-growth or rapidly scaling environment, where cost structures and investment priorities are evolving quickly.
Experience
- Requirements - 6–10+ years of relevant
Benefits
- 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.
Additional details
- We believe that the way people interact with their finances will drastically improve in the next few years.
- We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.
- Plaid powers the tools millions of people rely on to live a healthier financial life.
- We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.
- Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe.
- Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
- The FinOps function is responsible for financial accountability, visibility, and optimization across all engineering-related spend at Plaid.
- The team operates at the intersection of Engineering, Product, and Finance, ensuring that spending decisions are transparent, intentional, and aligned with product strategy and business priorities.
- Rather than functioning as a cost-control or approval layer, FinOps enables teams to understand, own, and optimize their spend while maintaining engineering velocity.
- - Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks.