About the role
Translucent builds the agentic AI platform for healthcare finance. This role sits between a customer's financial and clinical data and the AI systems running on top of it. You will reverse-engineer customer-specific business rules, from payer contract logic to chart-of-accounts idiosyncrasies, and build the transformations that map raw customer data into Translucent's unified ontology and semantic layer. Analytics engineering is the source of truth the whole platform runs on. Without it being right, there is no AI and no trust.
You will feel at home here if you know healthcare data well enough to spot when a number is wrong before anyone else does.
What You'll Do
- Review customer data models. Sit with finance and clinical teams, sometimes on site, to capture their source-of-truth logic firsthand.
- Codify business rules. Turn under-documented payer contract and chart-of-accounts logic into durable, tested transformations.
- Build in SQL. Map customer data into the unified ontology and semantic layer inside the managed pipeline.
- Own correctness. You hold the testing and validation bar on everything you ship.
- Expand the ontology. Work with insights and product engineering as new customer needs and data sources come in.
About Translucent
You will sit at the intersection of customer healthcare finance problems and the AI that solves them. Analytics Engineers get the data in accurately and encode customer business logic. This role builds on top of that: the context layer agents operate on, tailored agents and predictive models for each customer, and the iteration that turns outputs into decisions and behavioral change. You will work in Python with the company's agent harnesses and eval tooling, partnered with the value team and directly with customers.
You'll feel at home here if you were called a data scientist three to five years ago and have been shipping applied AI since.
What You'll Do:
- Build tailored agents. Stand up customer-specific agents and ML models on existing agent infrastructure.
- Own the context layer. Maintain the customer context agents operate on, including platform-level agents.
- Validate outputs. Use harnesses and evals to keep agents and models accurate enough to earn trust.
- Drive decisions. Iterate on insights and presentation with the value team until customers act on them.
- Work with customers. Scope problems with end users and present solutions to finance and ops leaders.
Required skills
Refer someone
Know someone great for this role?
Share your link. If they get hired through Standout, you get $3,000.
Job details
Salary
$150,000 - $200,000
Location
New York, United States
Experience
3+ years
Funding
Total raised
$34M
Last stage
Series A
Investors
Founders
Jack O'Hara
Co-Founder & CEO
Max Jones
Co-Founder & COO
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.