Product QA and Onboarding Intern, LTools
Remote
Malloyyo serves Malloy semantic models to Claude over MCP, so people can ask questions of their data in plain language and get answers from a defined model.
- Built Malloy models over public data (US flights, public libraries, transit ridership, FAA wildlife strikes, Olympics, LEGO) and published them to a hosted Malloyyo instance, with the data loaded into MotherDuck. The flights, libraries and transit data files are public at tabblabs.net/datasets.
- Use the product as a customer would and keep a running log of what is hard, with a short reproduction for each bug.
- Reported a Malloy regression, narrowed to the release that introduced it; the maintainer fixed it. Opened pull requests on the Malloyyo repository; the first one's fix and reproduction were carried into a merged change.
- Showed Claude Dashboards working on Malloyyo data, including rows limited by the viewer's role.
- Ran clean-setup customer tests end to end (build a model, publish, build dashboards, check answers against the raw data) and wrote up the results.
- Help onboard new users, and wrote and tested a BigQuery connection setup guide for a customer instance.
- Storyboarding a getting-started video series (being built).

