Software Engineering Intern

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    Subtotal

    2-10 employeesFounded 2024New York, NYTechnology, Information and Internet
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    Best applied by Oct 31

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    About the role#

    This is a hands-on engineering role where you will build real products alongside our founders and engineers. You will work across a wide range of areas, including integrations with major retailers, internal automation systems, and applications for shoppers and brands. We are looking for someone who enjoys a changing environment and wants to learn from engineers tackling novel problems.

    What you'll do#

    • Build autonomous systems that handle routine work, such as keeping retail connections healthy.
    • Identify and implement new tools, models, and techniques to improve our systems.
    • Take projects from a rough idea to production and refine them based on feedback.

    What you'll need#

    • Currently pursuing a degree in computer science, computer engineering, or a related field.
    • A habit of trying new tools and a preference for shipping and iterating over abstract planning.
    • Strong problem-solving skills and the judgment to know when a feature is ready to ship.
    • Ability to work in a self-directed manner, even when faced with ambiguity.
    • Eagerness to learn and improve every week.
    • Experience with APIs, data pipelines, or third-party integrations.
    • Experience building agents.
    • Interest in commerce, retail, or marketing technology.

    Location & details#

    • This role is primarily remote with regular in-person onsites. We may move to a hybrid model in the near term. We have a preference for candidates based in New York City or Utah.
    • Compensation is $25 to $35 per hour.
    • The position is full-time or part-time with a rolling term.
    • You will receive direct mentorship from our engineers and founders.

    About Subtotal

    Subtotal is a technology company based in New York. Founded in 2024, it provides tools for brands to connect with retail customers. The company enables shoppers to share purchase data from retailers like Amazon and Walmart with brands. This process helps businesses identify anonymous shoppers and personalize their experiences. The team consists of 2 to 10 employees.

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