Own the product pipeline and ensure that our data quality remains high
Responsible for processing and delivering data to customers in a timely manner
Build, manage, and improve data pipelines to clean, label, standardize, and transform raw data into data that can be delivered to and consumed by our customers
Answer ad-hoc data requests to support customer questions & sales pitches
Join calls with current and prospective customers
Work in downtown San Francisco office a few times per week
$100K - $150K salary, 1% - 5% equity
About you
Skills: Python, SQL, Data Analysis
Bonus skills: familiarity with statistics, BI tools, ChatGPT or similar AI/ML
Well organized
Concise communicator
Proactive & willing to take initiative
Resourceful
Able to execute with minimal supervision
Interview Process
30 minute call with founders about the position, your experience, and career goals
30 minute technical screening call to evaluate your Python and SQL skills
1 hour technical interview to review your data skills and thinking process
Onsite at our office to learn more about us and to get a feel for how we’d work together
Offer extended
About Pepper
The world’s largest companies are buying more external data
We license data to leading F500 enterprises
Our product is not a particular dataset, but rather the ability to quickly collect, clean, and reliably provide high-quality data over time
Founded in 2019 by Richard Kreger (CEO, enterprise sales) and Cameron Cairns (CTO, software engineer)
Very small team, all San Francisco-based
Raised only from YC and a couple angels (i.e. minimal dilution)