Product Engineer (Tax & Banking) | San Francisco

Today’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more.

 

Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our San Francisco office!

 

Americans receive ~$400B in tax refunds per year. A tax refund is in essence an interest free loan to the government. The average American overpays their taxes by ~$3K per year. We plan to change that by being an AI enabled automated tax

specialist for the 80% of Americans that receive a tax refund. Our existing system has optimized tax withholdings for over 1M Americans so far, but we have plans to go much further.

 

We’re adding a Product Engineers to our team to help monetize and scale our tax product (PayBoost). You'll work closely with business operations and the core services engineering team to deliver a product that scales and just works. Projects

will include an update to our AI architecture, a potential rewrite to separate the service from our monolith, updates to our existing data models, 99.99% reliability/uptime, and creating additional visibility into the core components for monitoring.

 

 

We're focused on serving our users above all else all while building a robust business. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth. We work in-person in our San Francisco and Seattle offices.

 

At Grid, everyone on the team is technical and hands on: You'll have the opportunity to design, develop and operate Grid's most mission-critical systems end to end. Unlocking scale and getting our customers one step closer to financial.

 

 

Our backend tech stack is based on GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful data science.