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OpenHealth is a fast-scaling healthtech venture building the data infrastructure layer for health AI. The company harmonizes fragmented health data—from diagnostic lab results to medical imaging—into clean, interoperable standards (HL7 FHIR, LOINC, SNOMED CT, DICOM) that hospitals, diagnostic groups, insurers, and governments can build on. Operating across roughly 10 countries in Europe and Latin America, OpenHealth works with partners like Roche and leading diagnostic and hospital networks, backed by $4M+ in venture capital from leading European health and tech VCs.
In this role, you will own product modules end to end, from initial concept through live deployment and correctness validation. You will be responsible for care pathways, pharmacogenetics, and emerging product areas. The role requires deep ownership of edge cases and medical correctness—since the company operates in an area where trust is paramount, edge cases must be thoroughly thought through. You will be the person who can defend decisions in front of patients or payers.
Key responsibilities include:
- Owning product modules end to end, from concept to production
- Ensuring medical correctness and handling edge cases
- Working with LLMs and data properly—building agents and tooling for mapping, review, QA, and documentation
- Analyzing datasets independently and identifying data quality issues
- Translating vague requirements into buildable specifications for engineering and sellable propositions for sales
- Conducting mappings reviews, general reviews, test cases, and end-to-end feature validation before launch
- Collaborating with engineers on data models, APIs, and build complexity
You will report directly to the Chief Product Officer / Chief Medical Officer in a flat hierarchy, small-team environment. The team is distributed across Europe and Latin America. Communication is critical in this distributed setup, with work flowing through tickets, concept documents, recordings, and efficient meetings. The role involves thin process and significant ambiguity, with feedback flowing in both directions.
REQUIREMENTS:
- Medical or life science degree (medicine, pharmacy, biomedical science, biology, bioinformatics)
- Academically strong; able to read and understand scientific literature
- Interest in data and data usage; familiarity with JSON, data models, and statistics
- Approximately 3–5 years of work experience
- Hunger and drive typical of startup environments with large, fast-growing scope
- Product management experience is a plus, not required; experience working with tech/engineers is a big plus
- Fluent English
- Preference for candidates with overlap in CET timezone (≥4 hours)
- Preference for candidates based in DACH region, Spain, Portugal, or Latin America
PLUS (nice-to-haves):
- Prior exposure to or work with LOINC, HL7, FHIR, SNOMED
- Startup experience
- Commercial sense
- Portuguese, Spanish, or German language skills
- Knowledge of MDR, GDPR, or LGPD regulations
