Bolt is on a mission to democratize commerce. We relentlessly prioritize our retailers—putting their brands front and center while enabling frictionless shopping at any touchpoint in the customer journey. At the center of it all is our rapidly growing universal shopper network—Bolt merchants such as Deckers, Saks OFF 5TH, Revolve, and Casper can access tens of millions of shoppers, offering them a best-in-class checkout.
And revolutionizing ecommerce is only half of the equation—we’re also transforming the way we work. At Bolt, we have created a work environment where people learn to drive impact, take risks and make big bets, and grow from feedback, all while feeling welcomed and accepted for who they are. Come join us on the adventure today!
The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics.
We are looking for someone to play a mission-critical role in designing and building the machine models for risk, fraud, recommendation, and personalization that powers Bolt. This should be someone with experience, creativity, and passion for producing world-class technology. Companies and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility. If challenges excite you, and you’re ready for a large one, let us know.
Estimated cash compensation: $180k-240k plus equity DOE
Benefits:
In addition to our core values, Bolt is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity and expression, genetic information, pregnancy and related conditions, veteran status or any other reason prohibited by law. On our mission to democratize commerce, the Bolt platform levels the playing field for everyone. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve (that is, everyone).
Yearly based
United States