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Salary
$140k – $220k per year
Location
Remote (United States)
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Sep 25, 2026.

Overview
Company
Impact
Profile match
Booko fills the slots that would go unsold. It integrates with Mindbody and existing booking systems to predict at-risk class and appointment slots and fill them with targeted incentives, lifting revenue per class.

Why Booko?

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.

Role Overview:

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 You’ll Do:

  • Train demand-forecasting and pricing models for sparse, noisy, changing data
  • Develop optimization and decision systems that choose prices and incentives
  • Design experiments and measurement systems that tell us what actually works
  • Build evaluation and monitoring for models running across many customers
  • Help shape the engineering culture and roadmap as an early hire

What You Have:

  • 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

What we offer:

  • Competitive, top-of-market salary
  • Equity with real upside - you're joining early, and your equity reflects that
  • Relocation support to San Francisco
  • M5 Pro MacBook Pro and whatever else you need
  • All meals covered (coffee, lunch, dinner, snacks)
  • Regular team offsites

Know someone exceptional? We pay a $5,000 referral bonus for a successful full-time engineering hire.

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