About the role
Trusted by more than 18,000 Shopify and Shopify Plus stores—like Brooklinen, Ruggable, True Classic and Dr. Squatch—Postscript gives ecommerce brands the tools they need to run a world-class SMS marketing program.
We’re on a mission to make SMS the number-one revenue channel for ecommerce merchants by delivering an easy-to-use platform where they can grow their subscriber list, develop and test their messaging strategy, deliver excellent customer service, and drive sales and loyalty—all in one place. We believe SMS is the most important marketing and sales channel of the decade, and that vision drives everything we do.
Postscript was founded in 2018 as a 100% remote organization. With more than 250 employees (and counting!), we’re backed by Greylock, Y Combinator, and other top investors.
Postscript Description
_Postscript is redefining marketing for ecommerce companies. By introducing SMS as an entirely new channel for ecommerce stores to engage, retain, and convert their customer base, brands are seeing huge ROI with Postscript. Backed by Greylock, Y Combinator and other top investors, Postscript is growing fast and looking for remarkable people to help build a world class organization. _
Job Description
We’re seeking a Staff Data Engineer to help lead our Data Engineering practice and take our data architecture into the future. You’ll be supporting our efforts to modernize our data stack and build our lakehouse to enable broad data access to BI, Machine Learning, and Engineering teams at Postscript. You’ll be creating an Apache Iceberg data lakehouse and prerequisite data pipelines to unlock global data access across Postscript.
Primary Duties:
- Own and evolve our data platform, tooling, and architecture to meet growing analytical and product needs.
