Senior Software Engineer, Payment Intelligence

  • Full-time

Company Description

When we launched the little white reader, we invented mobile, ubiquitous payments and enabled anyone to start, run, and grow a business. Ten years and billions of transactions later we’re reimagining commerce for businesses of all types and sizes—we’re enabling the independent electrician to send invoices, helping the beauty salon pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

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.

Hard Problems

  • 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.

Qualifications

You will:

  • 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

You have:

  • 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:

  • Java, Python

  • Guice, Guava, gRPC, Protocol Buffers

  • MySQL, Airflow, Tensorflow, Google Cloud Platform (BigQuery, Google Cloud Storage, DataFlow, PubSub, CloudML etc.)

Additional Information

At Square, our purpose is to empower – within and outside of our walls. In order to build the best tools for the businesses and customers we support all over the world, we have to start at home with a workforce as diverse and empowered as our sellers. To this end, we take great care to evaluate all employees and job applicants equally, based on merit, competence, and qualifications. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage candidates from all backgrounds to apply and always consider qualified applicants with arrest and conviction records, in accordance with the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Perks At Square, we want you to be well and thrive. Our global benefits package includes: Healthcare coverage, Retirement Plans, Employee Stock Purchase Program, Meal reimbursements, Wellness perks, Paid parental leave, Flexible time off, Learning and Development resources
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