Senior Product Manager – Semantic Normalization
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for one week during the year for Truveta Planning Week.
For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote
Who We Need
Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
This Opportunity
We are looking for a Senior Product Manager to lead the product vision for normalization, a foundational capability that transforms fragmented, messy healthcare data into clean, structured, and interoperable information. Your work will power downstream analytics, clinical research, and AI models across Truveta’s platform by ensuring the data is meaningful, standardized, and trustworthy.
You will define and drive products that map raw semi-structured and unstructured clinical data—spanning diagnoses, labs, medications, procedures and genomic data—into standard terminologies to enable scientifically rigorous research. You’ll work at the intersection of healthcare, data engineering, and AI/ML, delivering normalization pipelines that leverage advanced machine learning techniques. This is a highly cross-functional role that requires collaboration across engineering, clinical informatics, AI, and platform teams.
Key Responsibilities
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