Technical Support Engineer
Company websitetriomics.com (Triomics, opens in new tab)
Base salary $125K to $150K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
About Triomics
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.
Role
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.
Responsibilities
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
Communicate with clinical users (research coordinators, tumor registrars, data managers) - provide clear status updates and honest ETAs in non-technical language
Build support infrastructure: define triage workflows, write runbooks for common failure modes (document ingestion errors, refresh inconsistencies, model output issues), set up monitoring dashboards and alerting
Identify recurring issue patterns and translate them into product or engineering priorities
Train additional support engineers as the function scales
Requirements
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
Preferred
Built support tooling (ticketing, monitoring, runbooks) at an early-stage company
Healthcare technology experience is a plus but not required
Experience with data pipelines - can distinguish data quality issues from application bugs
Familiarity with Kubernetes and containerized deployments
On-call and incident response experience
About Triomics
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 leading cancer centers including Memorial Sloan Kettering, Mount Sinai, and Yale Cancer Center. We have grown 10x in the last year and process millions of oncology medical documents monthly.
Our investors include Battery Ventures, Lightspeed, General Catalyst, Nexus Venture Partners, and Y Combinator.
Source: Triomics on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($125,000) is above 40% of the 663 Customer Success & Support roles nationwide listed on this site; 10 others list the same floor. Their median floor is $132,000; the middle half runs from $115,000 to $151,400.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingTechnical Support Engineer$125K to $150K
Senior Talent Recruiter$130K to $200K
Ops$100K to $160K
Account Manager$100K to $140K
Implementation Project Manager$100K to $150K
Event Marketing Manager$100K to $170K
Platform Engineer$150K to $200K
Chart as a table
| Role | Published base |
|---|---|
| Technical Support Engineer (this listing) | $125K - $150K |
| Senior Talent Recruiter | $130K - $200K |
| Ops | $100K - $160K |
| Account Manager | $100K - $140K |
| Implementation Project Manager | $100K - $150K |
| Event Marketing Manager | $100K - $170K |
| Platform Engineer | $150K - $200K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-06-17
Where this pay comes from
Location as the employer wrote it: New York Office
USD 125,000 – 150,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.