Forward Deployed Insights Engineer

Company: Translucent
Location: New York NY (Union Square office 4 days in person)
Compensation: $180000 - $230000 competitive equity
Employment Type: Full-time
Visa Sponsorship: Not available (US citizens and green card holders)

Translucent is building an agentic AI platform for healthcare finance helping health systems manage complex financial data and workflows and turn it into decisions leaders trust. It is already deployed at organizations managing over $5B in combined revenue.

Founded in 2024 Translucent has about 27 people in New York and has raised $34M from GV NEA FPV and Virtue.

Translucent is hiring a Forward Deployed Insights Engineer to sit at the intersection of customer healthcare finance problems and the AI that solves them. Analytics Engineers get the data in accurately; this role builds on top of it: the context layer agents operate on tailored agents and predictive models for each customer and the iteration that turns outputs into decisions. This is applied data science not full stack platform engineering or dashboards. You will work in Python with the companys agent harnesses and eval tooling partnered with the value team and directly with health system finance leaders.

• Build tailored agents and ML models for each customer on existing agent infrastructure.
• Own the customer context layer that agents including platform-level agents operate on.
• Validate outputs with harnesses and evals so agents and models are accurate enough to earn trust.
• Iterate on insights and presentation with the value team until customers act on them.
• Scope problems with end users and present solutions to finance and operations leaders.

• 3-10 years of data science applied ML or analytics work
• Shipped applied ML predictive models or AI agents to production for a customer owned end to end
• Hands-on healthcare experience (data workflows or products); healthcare finance strongly preferred
• Hands-on LLM and agentic tooling: building and evaluating agents in real work
• Strong hands-on Python and SQL
• Customer-facing technical work (forward deployed or implementation)
• Bachelors in a quantitative field or equivalent applied ML work
• Ability to work in the New York office 4 days a week

• Pipelines distributed compute or cloud (Snowflake Databricks Spark)
• CI/CD and git workflow ownership

Intro call (30 min) technical screen on data transformation and pipelines (45 min) onsite case and culture session (2-3 hours) meet the founders (30 min).

Python SQL LLMs agentic AI evals data visualization

REVENUE: 18.7% of first-year salary. Est. fee per hire $34K-$43K; 4 seat(s) up to $153K if all filled.

TARGET COMPANIES (suggested): Epic Strata Decision Kaufman Hall Waystar Flatiron Health dbt Labs.

BEST-FIT CANDIDATE: 3-10 yrs; production applied ML/agents for customers; healthcare (finance preferred) data experience; Python SQL; LLM/agent tooling; visa: NO sponsorship; location: NYC 4 days. Clinical-only backgrounds are a poor fit; top rejection reason is not enough experience.