Unwrap.ai is on a mission to make every company more customer centric. We’re helping companies like Lyft, JetBlue, and Github collect and process feedback more effectively from sources like Zendesk, App Store reviews, Reddit, and Twitter. We’re currently a team of 10 and growing quickly. We are venture-backed, including the Allen Institute for Artificial Intelligence and Kevin O’Connor's ScOp VC (former founder and CEO of DoubleClick).
Our founders, two ex-Amazon Alexa Product Managers, were tired of manually sifting through customer reviews, support tickets, and bugs while working on Alexa. They understood the importance of listening to customers and prioritizing their requests effectively, but simply had too much feedback to parse through. So, Unwrap.ai was born to solve this problem. Specifically, at Unwrap we use Natural Language Processing to automatically cluster, tag, and analyze customer feedback to help product and engineering teams build what customers want. The ultimate goal is to make companies more customer centric and focus on the product improvements that matter most.
Are you a data enthusiast with a talent for connecting diverse data sources and a passion for enhancing system architectures? Do you thrive in a fast-paced environment where you can tackle challenging engineering problems and make a significant impact from day one? If so, we have an exciting opportunity for you!
As our first full-time Data Engineer, you will be at the forefront of shaping the future of our data ingestion infrastructure. You will be responsible for building real-time data pipelines that integrate data from various external sources such as Survey Monkey, Zoom, Zendesk, and many others into our system. Your work will ensure extremely high reliability and seamless data flow. Additionally, you will lead the charge in upgrading our underlying architecture, making it robust, scalable, and future-proof to handle the complexities of modern data engineering.
This is a full-time, in-person role in beautiful Santa Barbara, CA. Our office is downtown, walking distance to great restaurants, coffee shops, and the beach.