Senior Software Engineer, Payment Intelligence
- San Francisco, CA
- Alternate Location: Seattle, United States
- Current Square Employee?: Apply via go/jobs
Square processes billions of dollars every year. At that scale, even small optimizations can lead to huge business impact. Payment Intelligence makes data-driven improvements to core payment metrics such as decline rates and transaction profit. This work has direct impact on Square’s profitability and financial success. This team consists of engineers and data analysts that work together closely to find and implement optimizations to our payment stack. In addition, Payment Intelligence owns pricing platform at Square. It invents and develops new interesting price models such as custom pricing and costplus to make pricing more enticing for sellers.
Transaction Cost datastore – We are utilizing the next-generation cloud data infrastructure in order to provide a stable data foundation to do ML training and calculate transaction cost real time.
Pricing Platform - as Square’s product ecosystem is growing, we need to support ever changing pricing requirements and invent new price models to make them more enticing for sellers.
Make data-driven decisions
Provide data infrastructure for surrounding groups
Implement cost optimizations and new pricing platform features
Evaluate ML and cloud based platforms and services
Work cross-functionally with our product, business, and finance teams to develop Square’s global payments strategy
BA/BS degree or equivalent practical, working experience (5+ years preferred)
Experience in working cross-functionally and building architecting data ML and analytics solutions
Innate curiosity and a desire to be responsible for all aspects of reliably moving billions of dollars in a small, highly focused team
Understanding and curiosity in creating highly available, scalable, low-latency data systems
Interest in changing the payments landscape in the US and globally
Technologies we use:
Guice, Guava, gRPC, Protocol Buffers
MySQL, Airflow, Tensorflow, Google Cloud Platform (BigQuery, Google Cloud Storage, DataFlow, PubSub, CloudML etc.)