Dynamically pricing the whole economy. Backed by Y Combinator.
About the role
You will own the models and decision systems behind Booko's pricing engine. This is not a research role separated from the product. You will frame ambiguous problems, build the math, test it against real behavior, and ship it into production. We are looking for someone with strong mathematical taste, high agency, and the range to deploy and iterate on these models.
What they're looking for
- Unusually strong in applied math, statistics, ML, optimization, or a related field
- Turns open-ended questions into clear models and experiments
- Deep care for causality, calibration, failure modes, and production behavior
- Strong appetite for ownership
More about this role
Booko gives every service business the revenue superpowers that, until now, only the largest companies in the world could afford.
Every hour that goes unsold converts to zero. Uber, airlines and hotels solved this with a hundred math PhDs figuring out demand and pricing. The rest of the service economy - fitness studios, med-spas, event and entertainment venues, salons, tours, anything you can book - has the same problem. They just haven't had the hundred math PhDs.
AI collapsed that cost. Booko embeds into the systems a business already runs on, builds a superintelligent brain around its demand, and deploys that intelligence across the business - dynamic pricing first, then marketing, staffing, and scheduling. It runs quietly in the background like a revenue team they never had.
You used to need a hundred math PhDs. Now you don't.
You will own the models and decision systems behind Booko's pricing engine. This is not a research role separated from the product. You will frame ambiguous problems, build the math, test it against real behavior, and ship it into production.
We are looking for someone with strong mathematical taste, high agency, and the range to deploy and iterate on...
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