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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 28, 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 Booko deployments inside real customer businesses. That means embedding with a venue or studio, wiring our pricing engine into the systems they already run on, and making Booko actually work in their world - live, in production, on their busiest weekend.

This is a high-agency role. You will sit with operators, make product calls on the ground, write the code, ship it, and own the result. Then you will turn what you learn into the playbook every future deployment reuses.

What You’ll Do:

  • Embed with customer businesses, and sit inside their booking, marketing, and operating systems
  • Wire Booko's pricing engine into each customer's stack, data, and workflows
  • Ship with the customer on our/their timeline
  • Leave working systems behind, not prototypes
  • Turn each deployment into patterns and tooling the next one reuses
  • Help shape the engineering culture and roadmap as an early hire

What You Have:

  • Strong generalist engineering
  • Comfort with customers
  • Sharp product judgment
  • Strong appetite for ownership
  • Excited to work in person with a small, ambitious team in the Bay Area

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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