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Protege

AI training data marketplace and licensing

Forward Deployed Engineer - Healthcare

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Experience in software engineering, solution architecture, forward deployed engineering, technical implementation, or a similar customer-facing technical role.
  • Ability to own customer engagements from scoping to repeated support.
  • Strong technical execution across custom solutions, integrations, data transformations, and/or applications.
  • Comfort operating in healthcare data environments, including sensitivity to Protected Health Information and regulatory considerations.
  • Strong customer-facing communication and ability to build trust with technical stakeholders.
  • Ability to bridge customer needs with product and platform capabilities.
  • High ownership, adaptability, and comfort operating in ambiguous, fast-moving environments.
  • Bias toward creating reusable systems, playbooks, tooling, and best practices rather than solving the same problem repeatedly.

Responsibilities

  • Lead technical work from initial scoping through implementation, data ingestion, and continued refreshes.
  • Become the primary technical partner for assigned healthcare data partners.
  • Build trusted relationships with customer engineering and technical teams.
  • Manage multiple concurrent healthcare engagements while maintaining quality and customer confidence.
  • Develop and deploy integrations, data transformations, and applications that solve customer-specific challenges.
  • Navigate customer technical environments and adapt Protege’s platform capabilities to real-world deployment constraints.
  • Translate ambiguous customer needs into clear technical plans, milestones, and practical implementation paths.
  • Identify where customer-specific work points to repeatable product opportunities.
  • Surface actionable product feedback based on implementation patterns, customer pain points, and blockers.
  • Partner with product and engineering to turn bespoke solutions into reusable platform capabilities where appropriate.
  • Handle healthcare data environments with appropriate care, including Protected Health Information and regulatory considerations.
  • Make sound technical decisions in complex, regulated settings.
  • Communicate clearly with customers and internal teams about tradeoffs, risks, dependencies, and implementation choices.
  • Contribute playbooks, tooling, templates, and best practices that improve future healthcare deal execution.
  • Document repeatable patterns and lessons from customer engagements.
  • Help Protege move faster over time by turning one-off implementation work into reusable assets.

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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