About the position
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. This Credit Insights team is responsible for building best-in-class cashflow based insights products that enable lenders to make more holistic lending decisions and empower broader access to Credit products for prospective borrowers. We believe Plaid has the power to be the next-gen Credit Bureau - supporting large scale adoption of cash flow into the credit underwriting process. You will be defining the future architecture of Credit insights products and executing against an ambitious product roadmap. You will partner with our Product, Data Science, and Machine Learning team to iterate on and productionize new insights that enable our customers to make more holistic lending decisions.
Responsibilities
- Leading technical architecture and execution across credit insights products
- Scaling and evolving the architecture through increasing usage
- Collaborating closely with Product, Data Science, and Machine Learning partners to develop and scale insights products that enable Credit underwriting use cases
- Mentoring engineers and contributing to a strong, inclusive team culture
Requirements
- 8-10 years of software development experience
- Strong experience building and scaling backend products
- Strong technical leadership skills, including mentoring peers, leading projects and driving architectural decisions
- Demonstrated success working closely with data science or ML teams, with a strong understanding of how ML models integrate into production systems
- Experience collaborating with cross-functional stakeholders and with teams and leaders across the engineering function
Nice-to-haves
- Experience working in the credit or lending space
Benefits
- Comprehensive benefit plan, including medical, dental, vision, and 401(k)
