4 hours ago
Remote, United StatesSenior
Responsibilities
- Lead technical customer engagements from initial scoping through implementation, data ingestion, continued refreshes, and post-engagement support.
- Serve as the primary technical partner for assigned healthcare data partners and build relationships with customer engineering teams.
- Develop and deploy customer-specific integrations, data transformations, and applications.
- Adapt Protege’s platform capabilities to customer technical environments and translate ambiguous needs into implementation plans and milestones.
- Bridge customer needs with product and engineering teams by identifying repeatable opportunities and surfacing actionable product feedback.
- Handle healthcare data environments with appropriate care, including PHI and regulatory considerations.
- Create reusable playbooks, tooling, templates, best practices, and documentation from customer engagement patterns.
- Manage multiple concurrent engagements and communicate tradeoffs, risks, dependencies, and implementation choices.
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 through repeated support.
- Strong technical execution across custom solutions, integrations, data transformations, and applications.
- Comfort operating in healthcare data environments with sensitivity to PHI and regulatory considerations.
- Strong customer-facing communication skills and ability to build trust with technical stakeholders.
- Ability to connect customer needs with product and platform capabilities.
- High ownership, adaptability, and comfort working in ambiguous, fast-moving environments.
- Bias toward creating reusable systems, playbooks, tooling, and best practices instead of repeatedly solving the same problem.
Categories
Forward Deployed
About Protege
Protege builds a platform for secure, privacy-centric exchange of AI training data, letting creators and data partners control licensed use and get paid. It works with AI companies to identify, curate, and deliver domain-specific datasets, with a growing focus on audio and related metadata. Privately held, it serves model builders needing high‑quality, rights‑cleared data and creators seeking transparent compensation for copyrighted content.