We believe everyone should be able to participate and thrive in the economy. So we're building tools that make commerce easier and more accessible to all. We started with a little white credit card reader but haven't stopped there. Our new reader helps our sellers accept chip cards and NFC payments, and our Cash app lets people pay each other back instantly. We're empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. Let's shorten the distance between having an idea and making a living from it. We're here to help sellers of all sizes start, run, and grow their businessand helping them grow their business is good business for everyone.
Square processes billions of dollars every year. At that scale, small tweaks can lead to huge efficiency gains. 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.
Transaction Cost datastore We are building the next-generation cloud data infrastructure in order to provide a stable data foundation to do ML training and calculate transaction cost real time.
Intelligent routing We need to be able to route every individual payment in the most optimal fashion, depending on cost, success rates, speed, etc. This will allow us to build smart traffic shaping, e.g. to hit different pricing
Pricing Platform - as Square's product ecosystem is growing, we need to support ever changing pricing requirements while also automate complex business workflows.
Make data-driven decisions and design high volume data pipelines
Provide data infrastructure for surrounding and immediate groups
Implement cost optimizations and new pricing platform features
Build out Square's Transaction Cost Data platform, used by the rest of the organization and a key strategic asset of Square
Create curated data feeds and ML training solutions
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 (8+ 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:
Java 8, Python
Guice, Guava, gRPC, Protocol Buffers
MySQL, Airflow, Tensorflow, Google Cloud Platform (BigQuery, Google Cloud Storage, DataFlow, PubSub, CloudML etc.)
At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.