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Protege

AI training data marketplace and licensing

Healthcare Solutions Lead

Implementation & Technical Account ManagementUpdated on Nov 13
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Strong customer-facing experience and the ability to lead technical conversations clearly and confidently.
  • Hands-on fluency in SQL and Python for cohorting, coverage analysis, and data-readiness work.
  • Deep familiarity with healthcare data modalities such as EHR, claims, radiology, pathology, and unstructured text.
  • Experience organizing multiple simultaneous projects amid changing priorities and real deadlines.
  • Familiarity with privacy-preserving techniques and the practical quality requirements of healthcare data delivery.
  • Experience in healthcare AI, machine learning products, enterprise data platforms, or similarly technical healthcare environments.

Responsibilities

  • Translate customer requirements into clear dataset plans, delivery scopes, milestones, and execution paths.
  • Serve as a primary customer contact, manage expectations, and keep technical decisions legible throughout the process.
  • Lead end-to-end program management from initial specification through quality assurance, packaging, and final delivery.
  • Use SQL and Python to construct cohorts, evaluate data readiness, validate coverage, and support customer-specific requirements.
  • Assess tradeoffs across modalities, sources, and delivery approaches to determine feasibility and value.
  • Create structured plans connecting solution architecture, partner constraints, privacy requirements, and delivery execution.
  • Oversee quality assurance for complex healthcare datasets, including EHR, claims, radiology, pathology, and unstructured text.
  • Work with data partners to source and refine healthcare datasets needed for active opportunities and deliveries.
  • Partner with privacy stakeholders to ensure HIPAA-aware handling and appropriate safeguards throughout delivery.
  • Coordinate multiple simultaneous projects and keep priorities, risks, and dependencies visible.
  • Identify repeatable improvements to planning, quality assurance, communication, and delivery workflows.

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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