--- title: 'Forward Deployed Insights Engineer (Applied AI) at Translucent' canonical: 'https://feeny.ai/job/forward-deployed-insights-engineer-applied-ai-translucent-new-york-88rm42sa480r' type: 'job' last_seen: '2026-09-11' --- # Forward Deployed Insights Engineer (Applied AI) at Translucent - **Company:** Translucent - **Location:** New York, NY - **Posted:** 2026-08-07 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/translucent/jobs/4338339009 ## Job description ## Why Translucent Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance — giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. ## About the role We're hiring a Forward Deployed Insights Engineer to join our team in New York. You will sit at the intersection of our customers' healthcare finance problems and the agentic AI and ML systems we build to solve them. Working on top of the unified data ontology our Analytics Engineers maintain and the agent infrastructure our AI Engineering team builds, you will stand up new agents and ML models for specific customer problems, configure the visualizations and presentation layer that make their outputs usable, and work directly with customers and end users to turn those capabilities into real, trusted decisions. This is a high-ownership, customer-facing role. You will partner closely with our product team to make sure the solutions you build for one customer become repeatable, platform-wide offerings. ## What you'll do - Configure customer workspaces and build new AI agents and ML models on top of existing agent infrastructure and platform capabilities — our AI Engineering team owns agent infra, development harnesses, and core architecture, so you're focused on building for the customer problem, not the underlying framework. - Work directly with customers and our product team to scope solutions that solve real, high-value problems in healthcare finance. - Configure the visualizations and presentation layer for the data, trends, and insights your agents and models generate — turning model output into something a finance or operations leader can act on. - Present and demo ML/AI solutions directly to end users — translating technical capability into business trust. - Partner with product to generalize customer-specific solutions into reusable, platform-wide features. - Validate the correctness and reliability of the agents and models you ship, and build the testing rigor needed to earn customer trust in AI-generated outputs. ## What we're looking for Must-haves - Deep healthcare domain experience — consulting, forward-deployed, or health tech background, with hands-on exposure to claims, EHR, or financial/revenue cycle data. - Strong Python and SQL. - Real, hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code) in your day-to-day workflow. - Exposure to AI/ML projects or programs — agentic systems, applied ML, or similar. - Comfort building visualizations or front-end presentation layers for data and analytical output (e.g., dashboards, BI tools, or lightweight front-end frameworks). - Experience working directly with end users, including presenting technical or AI/ML solutions to non-technical stakeholders. - Strong experience with version control and gitops workflows — you're comfortable owning changes through code review and shipping them via automated CI/CD, not just committing code. Nice-to-haves - GCP experience. - Experience productizing a bespoke customer solution into a reusable, platform-wide feature. Education Bachelor's degree (or higher) in computer science, data science, statistics, mathematics, or a related quantitative field — or equivalent experience building and deploying applied ML/AI solutions. Advanced degrees (MS in a quantitative field) are a plus but not required; we weigh hands-on AI/ML build experience and healthcare domain exposure over formal credentials. Location Union Square, New York City. In-office 4 days per week. ## Compensation $180k - $230k ## About Translucent ## Company Overview - **One-liner**: Translucent is an agentic AI platform that serves as healthcare’s financial operating system, giving finance and clinical operators real-time visibility and root-cause analysis across claims, labor, clinical output, P&L, budgets, and contract economics. - **Entity Type**: Private (Series A, $27M led by GV in March 2026; total funding $34M) - **Headquarters**: New York, New York, United States - **Founded**: 2024 - **Founders**: Jack O’Hara (CEO) and Max Jones (Co-Founder) ## Core Business - **Primary industry**: Healthcare financial technology (Hospitals and Health Care) - **Target customers**: B2B – health systems, medical groups, and hospitals (from large multi-billion-dollar organizations to small rural hospitals) - **Mission/purpose**: Automate manual data work so healthcare finance teams can focus on moving the margin, giving hospitals the financial clarity to thrive while delivering excellent patient care. ## Products & Services - **Translucent Platform**: A unified SaaS platform that connects six domains of financial truth – Claims, Labor, Clinical Output, P&L, Budget & Forecasts, and Contract Economics. AI agents analyze millions of scenarios in real time, delivering full traceability from enterprise totals to individual transactions. The platform enables finance teams to act on current data instead of waiting for month-end reports. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding of $34M (Seed $7M led by NEA in September 2025; Series A $27M led by GV in March 2026) - **Notable Investors/Partners**: GV (Google Ventures), New Enterprise Associates (NEA), FPV Ventures, Virtue, Redesign Health - **Growth Signals**: Headcount grew 357% year-over-year (to 23 employees as of mid-2026); expanding from NYC to Australia; active hiring across engineering, insights, and delivery roles; strong LinkedIn follower growth (+8993% yearly); customer testimonials from CFOs at Northwestern Medicine and Sutter Health. ## Competitive Advantages - **Agentic AI at scale**: AI agents simultaneously analyze millions of scenarios across every dimension of healthcare finance – a scale no human team could achieve. - **Unified data across six domains**: Breaks down silos between claims, labor, clinical output, P&L, budgets, and contract economics, providing full traceability. - **Real-time, proactive decision-making**: 24/7 AI agents enable teams to act on current data, eliminating month-end reporting delays. - **Force multiplication**: Customers report 97% of routine financial analysis completed without manual effort, 56% increase in charges from the same provider cohort, and 17% increase in finance team capacity without adding headcount. ## Strategic Focus - Scale the financial operating system for healthcare, deepening integration with health systems and expanding the agentic AI capabilities to cover more financial workflows. Recent Series A funding will accelerate product development and go-to-market. ## Why Work Here - **Culture**: Values include “Iterate with Urgency” (ship real vs. perfect), “Default to Lean” (constraints as creative fuel), “Focus Relentlessly” (say no to good ideas), “Own the Outcome” (full responsibility), “Earn & Extend Trust” (transparency), and “Share Context Freely.” - **Work environment**: NYC preferred for most roles; hybrid/office policy not explicitly stated but headquarters in New York. - **Notable perks/engineering culture**: Small, fast-growing team (23 people) with high ownership; technical stack includes Python, TypeScript, React, Java, Swift, Google Cloud, Vercel, Datadog, Prometheus, and more. Current open roles: Senior AI Engineer, Senior Fullstack Software Engineer, FP&A Applied Researcher, Healthcare Actuary Applied Researcher, Healthcare Economist Applied Researcher, Technical Recruiter. - **Growth opportunity**: Joining at an early stage (founded 2024) with rapid headcount expansion and strong investor backing – opportunity to shape the product and culture. ## Sources 1. [translucent.ai](https://www.translucent.ai/) 2. [translucent.ai/careers](https://www.translucent.ai/careers) 3. [LinkedIn](https://www.linkedin.com/company/translucentai) 4. [Translucent Blog – Series A Announcement](https://www.translucent.ai/blog/translucent-ai-raises-27m-series-a-led-by-gv) 5. [Greenhouse Jobs Page](https://job-boards.greenhouse.io/translucent) ## Other roles at Translucent - [Implementation Lead, Physician Enterprise](https://feeny.ai/job/implementation-lead-physician-enterprise-translucent-new-york-gbntvpt4eys3) — New York, NY - [Product Lead](https://feeny.ai/job/product-lead-translucent-new-york-z5604xqzftas) — New York, NY - [Product Manager / Sr. Product Manager](https://feeny.ai/job/product-manager-sr-product-manager-translucent-new-york-08xvva58082c) — New York, NY - [Subject Matter Expert, Pharmacy & Healthcare Supply Chain](https://feeny.ai/job/subject-matter-expert-pharmacy-healthcare-supply-chain-translucent-new-york-city-6ycp03gh9sp8) — New York City, NY - [Subject Matter Expert, Workforce & Labor Productivity](https://feeny.ai/job/subject-matter-expert-workforce-labor-productivity-translucent-new-york-city-t9dkze3m2kzq) — New York City, NY - [Subject Matter Expert, Physician Enterprise](https://feeny.ai/job/subject-matter-expert-physician-enterprise-translucent-new-york-city-3zqkjahx77dx) — New York City, NY - [Subject Matter Expert, Clinical Operations & Throughput](https://feeny.ai/job/subject-matter-expert-clinical-operations-throughput-translucent-new-york-city-7ehkt2hspt43) — New York City, NY - [Subject Matter Expert, Revenue Cycle](https://feeny.ai/job/subject-matter-expert-revenue-cycle-translucent-new-york-city-at4a3jwdz89j) — New York City, NY - [Subject Matter Expert, Managed Care & Payor Contracting](https://feeny.ai/job/subject-matter-expert-managed-care-payor-contracting-translucent-new-york-city-rmvhksjmajm2) — New York City, NY - [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-translucent-new-york-dp2mzs378qbw) — New York, NY