Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an embedded finance company that sets the standard in modern card platform management. As an all-in-one card issuer processor and program management platform, we provide digital-first organizations with the flexibility to seamlessly issue and process payment cards, embed virtual and physical card payments, and integrate ledger and wallet functionalities—empowering businesses to drive growth and profitability.
We've raised $145M+ and have grown our team to 140+ employees. Headquartered in San Francisco, we've managed to build one of the most advanced payments teams in the industry, with team members in 25+ US states.
Operating through our core values of customer obsession, executional excellence, intentional inclusion, we're helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don't exist yet.
We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we're unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen.
As a Payment Analytics Engineer reporting to the Director of Business Intelligence, you will be a key technical partner for our Partner Operations team. Your mission is to ensure absolute data consistency across the entire payment lifecycle, protecting the company from unknown liabilities while optimizing revenue through deep interchange analysis and forecasting. While you will not be responsible for the raw ingestion of card network data, you must possess a deep understanding of the ingestion process to track and audit data as it moves through our platform. You will interpret complex card network file specifications and our internal processing logic to ensure correct reporting on every transaction.
Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply. We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work. Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e.: she/her, he/him, they/them, etc).