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David AI

AI dataset marketplace with bounty system

Data Product Operations Lead

Production Planning & SchedulingUpdated on Nov 13
Full-time$125k - $175k /yrIn-person

About the Job

Requirements

  • One to six years of experience in high-intensity environments, such as founding, strategy consulting, or venture-backed operations.
  • A background in strategy consulting, strategic projects, investment banking, operations, computer science, or a similar area.
  • Ability to identify leverage points and design systems for scale and durability.
  • Product intuition and ability to work with engineers and researchers to reach solutions quickly.
  • High-execution orientation, attention to detail, and commitment to quality.
  • Willingness to take a hands-on approach to work.

Responsibilities

  • Own the end-to-end success of a data pipeline, from early experiments through production-scale systems that generate high-quality audio data at high volumes.
  • Design and run pipelines that process high volumes of audio data reliably, efficiently, and with high quality.
  • Work with researchers at leading AI labs to identify new model capabilities and translate them into concrete data workflows and project plans.
  • Lead cross-functional workstreams across Operations, Product, and Engineering to build scalable data factory systems.
  • Monitor pipeline health and identify and resolve issues in sourcing, quality, or process.
  • Use throughput, quality, and cost metrics to prioritize improvements and drive impact.
  • Take accountability across operations, product, engineering, and customers to resolve bottlenecks and ensure delivery.

Desired Qualifications

  • Experience in data, machine learning, or large-scale operations.
  • A track record of taking ownership and prioritizing outcomes over tasks.

About the Company

David AI

AI dataset marketplace with bounty system

David AI runs a specialized data marketplace for AI applications. It connects AI model developers with data providers, allowing them to exchange high-quality datasets. The platform uses a bounty system: developers request datasets or data services, and providers claim bounties or list their datasets in a catalog. Revenue comes from transaction fees and possible premium subscriptions, with an emphasis on ensuring data quality, clear data rights, and fair pay for providers. The goal is to make it easier to obtain diverse, well-captioned datasets that improve AI model training and performance.

Company size
51-200
Company stage
Series B
Total funding
$75.1M
Headquarters
San Francisco, CA
Founded
2024

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