Note: The job is a remote job and is open to candidates in USA. Protege is building a platform to facilitate the secure and efficient exchange of AI training data, addressing a significant need in the AI industry. The Healthcare Solutions Lead will engage with healthcare vertical builders to design and deliver tailored solutions, ensuring alignment with customer needs and driving the development of scalable offerings.
Responsibilities
- Partner tightly with the Account Manager - Vertical Builders to lead discovery with healthcare vertical builders and understand where Protege can create real value for this segment
- Help define what Protege should actually sell into this market, including which offerings resonate, which are repeatable, and which are too bespoke to scale
- Own feasibility, shape fit-for-purpose datasets or workflows, and move projects from concept to delivery with support from DataLab, Product, and Engineering
- Manage end-to-end execution across multiple concurrent projects, keeping timelines, dependencies, risks, and next steps tightly organized
- Effectively communicate across engagements, ensuring requirements are understood early, changes are managed transparently, and risks are anticipated
- Oversee QA, packaging, and delivery of complex healthcare datasets, including EHR, claims, imaging, pathology, and unstructured clinical text
- Build the working model for this segment over time: how discovery is run, how engagements are scoped, how tradeoffs are made, and how early wins turn into a durable playbook
Skills
- Proven experience in a customer-facing solutions, delivery, technical GTM, or zero-to-one role where you owned outcomes across complex technical or data-driven engagements
- Deep familiarity with healthcare data and its major modalities, especially EHR, claims, imaging, pathology, and unstructured text
- Strong analytical and program management skills — you can assess feasibility, support solution design, and keep multiple workstreams moving with rigor
- Comfort working across commercial, technical, and scientific stakeholders, especially in discovery-heavy environments where the right solution is not obvious at the outset
- Strong product and commercial instincts: you can identify what customers actually value and help shape offerings that are useful, differentiated, and scalable
- Familiarity with healthcare privacy, de-identification, tokenization, and related compliance workflows
- Experience in healthcare AI, ML products, enterprise data platforms, or similarly complex technical environments
- A highly entrepreneurial, builder-minded approach: you are excited by 0→1 work, comfortable developing a motion for a new segment from scratch, and able to create clarity, structure, and momentum in ambiguous environments
Company Overview