We are looking for an experienced Staff Data Engineer who can navigate the entire data stack, from setting up core data platform systems, to building graph knowledge extraction pipelines, to dabbling in probabilistic entity resolution and graph algorithms. This is an opportunity to join a small team at the ground level, tackle a diverse set of problems, and work closely with the founders to build and scale the business. You’ll be instrumental in shaping our data systems, solving complex problems, and directly impacting our customer’s success Description Location : San Francisco, CA (On-site 4-5 days a week preferred, potential for remote from other west coast locations on a by-case basis) Target Compensation : $170-250k/year + meaningful equity & benefits About Upside Upside ( ) is building a next-generation knowledge engine, tackling a problem nearly every B2B company struggles with but few have solved: figuring out what's actually working in their go-to-market efforts. Our founding team were previously founders and early employees at Branch, scaling it to over $100M in revenue and a $4B valuation, with a platform processing 10s of billions of events and dozens of terabytes of data every day. We're now tackling an even more technically challenging problem - understanding enterprise sales and marketing data. Doing this properly involves turning massive, messy enterprise datasets and natural language data into rich, structured knowledge graphs. Upside has already raised a substantial first round from top-tier investors like XYZ and Emerson Collective and is currently part of HF0 ( ), the most selective startup residency program in the world. For the next two months, everyone on the team (including new hires!) can work out of a mansion in SF - complete with chef-prepared meals, fitness classes, and everything else handled so we (and you!) can fully focus on solving this challenge. You can read more about the problem we’re tackling here: We are looking for an experienced Staff Data Engineer who can navigate the entire data stack, from setting up core data platform systems, to building graph knowledge extraction pipelines, to dabbling in probabilistic entity resolution and graph algorithms. This is an opportunity to join a small team at the ground level, tackle a diverse set of problems, and work closely with the founders to build and scale the business. You’ll be instrumental in shaping our data systems, solving complex problems, and directly impacting our customer’s success. What You’ll Do (Roughly):
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