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Reka

Develops and deploys large AI models

Supply Lead

Business OperationsConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Early-stage marketplace operating experience is required, including turning one side of a marketplace flywheel from a standing start in a new territory or vertical across recruitment, pricing, retention, and economics.
  • The candidate must be AI-native, using agents extensively, automating processes before staffing them, and scaling through better systems rather than additional headcount.
  • The candidate must have operated rather than only advised; former founders, high-growth early-stage startup hires, consulting, or business operations experience is a strong plus.
  • The candidate must be able to close business directly in conversations with partner businesses.
  • The candidate must be numerate, able to build models, identify where cost per unit breaks, and argue for changes.
  • The candidate must be credible with both company owners and shift supervisors.

Responsibilities

  • Build a portfolio of partner businesses whose staff capture work already performed on shift across event venues, retail back-of-house, construction, agriculture, hotels, and warehousing.
  • Grow the contributor base and open new geographies while keeping supply owned and multi-channel so no single partner or geography is a dependency.
  • Own the geographic rate card that determines approved-unit costs by market and project type so engagements are priced and staffed against a defensible basis.
  • Own capacity forecasting for delivery volume, environment, and timeframe commitments.
  • Own contributor experience and retention, including onboarding, timely payments, support, and understanding why contributors stop.
  • Partner with the platform team on tooling that makes supply self-serve.

Desired Qualifications

  • Exposure to AI labs or training data pipelines.

About the Company

Reka

Develops and deploys large AI models

Reka.ai develops and delivers AI solutions built on large deep learning models, handling the full development cycle from data preparation and architecture design to training, evaluation, and deployment, with a focus on data synthesis. Its offerings are bespoke to client needs, delivered through project-based work or subscriptions that grant ongoing access and support. The team blends researchers with former DeepMind personnel, providing an end-to-end pipeline and advisory input from both industry and academia. The goal is to make the benefits of large AI models globally accessible by delivering practical deployed solutions and ongoing assistance.

Company size
51-200
Company stage
Late Stage VC
Total funding
$168M
Headquarters
Sunnyvale, CA
Founded
2022

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