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    Backend Engineer - San Francisco, United States - HockeyStack

    HockeyStack
    HockeyStack San Francisco, United States

    3 weeks ago

    Default job background
    Description
    We are looking for ambitious people to build the core data platform for B2B revenue teams.
    Grew from 0 to 7-figures revenue last year, became profitable
    Raised from some of the greatest VCs - like General Catalyst and Madrona
    First engineer hire is an ex-CTO that took a company to $900M valuation
    Working in-person in SF, pushing new features every week, innovating in this stagnant space

    Some of the cool technical work we do:
    Building an agnostic schema and a data store for all B2B customer data (ie Snowflake for B2B)
    Integrating with 30+ third-party data sources (like CRMs and ad networks) to sync millions of records every day
    Automatically analyzing data using AI to generate insights from millions of datapoints
    Building a fully dynamic SQL engine to read billions of rows in ad-hoc manner to return results in seconds
    Scaling the infra every other month to handle 10x the load
    Our backend is built upon and Express so you need to be very comfortable with Javascript.
    If interested, reach out to me directly at arda [at]
    About the interview We don't have a convoluted hiring process.

    A screening call - We have a 45 minute screening call to meet and see if there's an initial fit.

    A more in-depth technical interview - This is a 1-2 hour call that consists of some technical questions and a work sample test where we work on a very small piece of a project together to implement a feature.

    No leet code.

    Depending on how the technical interview goes, we can have you meet with the rest of the team and send you the offer.

    AboutHockeyStack HockeyStack is an analytics and attribution tool for B2B SaaS.

    It collects and helps analyze data from all parts of the SaaS customer journey - marketing, sales, and product engagement.

    Our goal is to make tracking and gaining insights from all this data easier and faster.

    #J-18808-Ljbffr
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