Engineering

Founding Engineer

San Francisco, CA
Work Type: Full Time

At Arcwise, we’re untangling the complexity of modern data tools to make analytics and data science accessible to anybody. The advent of the modern data stack has given every company the power to ingest and process data remarkably cheaply and quickly. But only a tiny fraction of modern data tools are designed for non-technical business users.

Our mission is to put all that power into the hands of everyone, not just the 0.5% of people that can code; to enable everybody to use data to answer questions, understand their business more deeply, and make smarter, data-driven decisions.

Our initial product targets the trusty spreadsheet - it’s been around for over 43 years, but hasn’t evolved to keep up with the pace of modern data. We’re starting with the hundreds of millions of spreadsheet users out there who are keenly aware of that pain, stuck with CSVs that are too big to load and awkward formulas for what should be simple data transformations.

We're proud to be one of the first members of Sequoia's seed-stage Arc accelerator and will have plenty of runway for the next few years. Some more background about our mission and team is available here.

About the role

Tech Stack
  • TypeScript/React for frontend + Python for the backend, managed with Terraform on GCP.
  • In the near future:
    • We’re excited about creatively leveraging LLMs (GPT-3, Codex) in the spreadsheet context to built Copilot-like functionality in Sheets (imagine a 10x smarter autofill, natural language to formulas & SQL, Copilot for writing formulas)
    • We expect to start exploring some interesting ideas soon around using Rust + pola.rs + WASM to efficiently share code with Apps Script (which Google Sheets executes for add-ons and custom formulas).
Qualifications
  • You have 3+ years of experience with exposure to both frontend + backend development
  • You’re a generalist engineer with the ability to pick up new frameworks quickly
  • You enjoy solving hard technical problems with outside-the-box solutions
  • Strongly preferred, but not required
    • You’ve worked with large datasets in SQL (Snowflake, BigQuery, Redshift, or equivalent) and Python (numpy, pandas)
    • You’re familiar with React and TypeScript (or Flow)
  • Bonuses!
    • You’ve authored dbt SQL models
    • You’ve worked with Google Apps Script or Chrome extensions
    • You’re excited about using GPT-3/Codex in the spreadsheet context
Compensation / Benefits
  • Competitive (~p75) equity and salary
  • Full health/vision/dental coverage
  • (In-office) meals covered

Our values

👷 Getting s@$t done:

We’re intensely passionate about the problem and love what we are doing. That doesn’t mean working long hours every day but it does mean being fully present, gritty, wholehearted building and ready to go all in when it’s game time. Think athletes - the highest levels of excellence, dedication and passion for the cause.

🤝 High empathy culture

Our unique superpower is our deep experience with data workflows from three totally different perspectives. We deeply empathize with our customers and that starts from within the team.

🚂 Simply powerful

We’re building to make the complex data world simple. We value elegant and simple products that don’t compromise on power.

🙏 Humble excellence

We are all excellent at something, but still amateurs at most things. There’s no room for ego or arrogance on our journey.

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