About the role
A trip plan is only as good as the place data under it. You'll build the pipelines that collect, clean and refresh information about places across our cities, and blend it with what local verifiers tell us.
Why now: Stale data is the number one reason travel plans fail. Owning fresh, verified place data is how WAYO becomes trustworthy, and it doesn't exist yet.
Your first 90 days
Day 30
Audit the place data we have for our five cities and measure how stale it is.
Day 60
Ship a refresh pipeline that flags closed or changed places before they reach a traveller.
Day 90
Feed verifiers' corrections back into the data automatically.
What you'll do
- Build and run pipelines that pull, deduplicate and refresh place data.
- Design the schema for places, opening hours, prices and verifier notes in Postgres.
- Set up quality checks and dashboards for data freshness.
- Work with the AI engineer so plans use the best data available.
What you'll bring
- Strong SQL and experience designing database schemas.
- You've built a data pipeline that ran in production.
- Python or TypeScript.
Bonus points
- Geo data, PostGIS or mapping APIs.
- Scraping responsibly and within terms of use.
- Data quality tooling.
This probably isn't for you if…
- You don't enjoy messy, real-world data.
Pay
Salary plus ESOPs. We share the exact range on the first call.