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Protege

AI training data marketplace and licensing

Head of Operations - DataLab

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

About the Job

Requirements

  • At least 8 years of experience in business operations, consulting, or a strategy or analyst role in a high-growth or fast-paced environment.
  • Ability to manage multiple complex projects simultaneously.
  • Strong analytical skills and ability to translate data into actionable insights.
  • Comfort navigating ambiguity and proposing structured solutions.
  • Strong communication and stakeholder management skills, with ability to work effectively with technical and commercial teams.
  • Adaptability, resourcefulness, and proactive ownership of outcomes.

Responsibilities

  • Own day-to-day Data Lab operations, including planning, prioritization, and execution across data initiatives.
  • Design and implement scalable operational processes for intake, prioritization, resourcing, delivery, and reporting to support data projects from concept through launch.
  • Partner with Data, Product, and Engineering leaders to identify operational bottlenecks and continuously improve workflows, tooling, and decision-making.
  • Establish operating rhythms, metrics, and dashboards to track progress, performance, and impact of Data Lab work.
  • Translate strategic objectives into clear roadmaps, timelines, and accountability across cross-functional stakeholders.
  • Prepare clear, concise updates and materials for executives, partners, and internal stakeholders on Data Lab priorities and outcomes.
  • Act as a hands-on problem solver and operator in residence, stepping into critical gaps as the Data Lab scales.

Desired Qualifications

  • Experience in AI or data-driven industries.
  • Prior exposure to startup or scale-up environments.
  • Comfort with SQL, analytics tools, or low-code automation platforms.
  • Experience designing and implementing new business processes or systems.
  • Background in project management or change management.

About the Company

Protege

AI training data marketplace and licensing

Protege operates as a data marketplace that connects data holders with AI developers to enable secure, compliant exchange of training data for AI model development. Its platform streamlines data procurement by listing diverse and curated datasets, including specialized healthcare data, and facilitating data licensing deals between buyers and data owners. The acquisition of Calliope Networks adds premium video content, expanding into multimodal data to support generative AI models. Revenue likely comes from transaction fees on licensing deals or subscription access for data buyers. The goal is to provide ready access to high-quality, diverse training data while ensuring data security and regulatory compliance, helping AI teams accelerate model development.

Company size
51-200
Company stage
Series A
Total funding
$65M
Headquarters
New York City, New York
Founded
2024

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