Advance every cancer decision. Backed by General Catalyst.
About the role
Investigate production issues end-to-end: trace across EHR data ingestion, document processing pipelines, AI extraction services, and application layer to classify root cause and resolve or escalate with full diagnostic context Monitor production systems across multiple customer deployments and cloud environments - catch pipeline failures, data quality drops, and extraction accuracy regressions before customers report them
What they're looking for
- 3+ years in technical support, solutions engineering, or production operations at a SaaS or data platform company
- Can query SQL databases, read application logs through Grafana or Temporal, navigate AWS or Azure infrastructure, and trace issues through a multi-service backend
- Strong written communication for both technical teams and non-technical clinical users
- Comfortable building processes from scratch
More about this role
Triomics is building the agentic AI layer for oncology EHRs. Cancer hospitals spend billions on highly trained staff manually reading unstructured patient records - pathology reports, clinical notes, genomic panels - to power workflows like trial matching, registry curation, visit prep, and quality reporting. We replace that manual work with task-driven AI agents that sit inside the EMR and process records at scale, in real time.
Our platform is trusted by the 4 of the top 10 Best Hospitals for Cancer by U.S.News and several of the largest community practices. We have grown 10x in the last year and process millions of oncology medical documents monthly.
Our investors include Lightspeed, General Catalyst, Nexus Venture Partners and Y-Combinator.
Own day-to-day production health and customer issue resolution across our deployments. Issues here range from data ingestion failures and document processing pipeline errors to AI extraction accuracy problems and clinical UI bugs. You investigate, resolve what you can, escalate the rest with full context, and communicate clearly with clinical teams who depend on the platform daily.
Investigate production issues end-to-end: trace across EHR...
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