Customer Operations Engineer
- Salary
- ₹27–45 LPA
- Location
- New York, US
- Experience
- Intermediate
About the company & role
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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About Plaid & Our Mission Plaid’s products empower thousands of developers to build the next generation of financial services applications. When those developers need help, they turn to the teams that sell, implement, and support Plaid. Our goal is to support customers quickly and compassionately, keeping their applications running smoothly and their end users happy. By building systems that streamline support, automate workflows, and solve issues before customers ever hit a bottleneck, you help strengthen the digital financial ecosystem and make financial tools accessible to millions of people worldwide. Team Dynamics & Your Impact Customer Operations Engineering is an agile engineering team embedded within our support and customer operations organization. We build and run the internal tooling, self-serve dashboard flows, and AI-driven automation that power our operational teams. Our customers and the teams who serve them drive everything we do. We're looking for engineers who care about that as much as the code. In this role, you will own platform systems end-to-end. There is no static backlog waiting for you—instead, your work comes from observing how teams operate, identifying