Product Engineer

Overview

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.

The Role

The Path team at MCG Health is hiring a Product Engineer in SEAD (Software Engineering and Application Development) who will own the product area from day one. MCG builds FHIR-based clinical decision support products that power prior authorization workflows for payers and providers across the US - including the Path product line (CRD, DTR, PAS, AutoAuth), among other core products.

This is not a traditional software engineer role. We already have engineers who write excellent code at scale, and AI tooling has shifted the scarce skill - from writing code toward problem decomposition, product judgment, and review discipline. What we need is an engineer who can take a problem from "we should look at this" to a shipped, measured outcome, talking to users, designing the experience, building it, instrumenting it, and iterating, without waiting for a fully defined spec.

If you live for end-to-end ownership, ship faster than you spec, are fluent in AI coding tools, and care more about the user outcome than the line count, this role is for you.

You Will

• Own your work end-to-end. You work closely with the product manager, who owns the roadmap and defines what’s worth solving. Your job is to take that direction, talk to users and customers, write your own spec or requirements (often with the help of an AI agent), build it, and ship it — without waiting for every detail to be handed to you.
• Talk to users — and do it well. Customer SMEs, clinical operators, payer engineering teams, integration partners. You ask the right questions, hear what’s actually being said, and translate it into a clear engineering problem.
• Make UX and design calls on small-to-medium decisions independently. Partner with design on larger ones.
• Instrument the work you ship. Adoption, latency, error rates, time-to-value — you define what "working" means for your feature and make it measurable. Success metrics are owned by the PM; your job is to make sure the data is there to evaluate them.
• Build full-stack: services and APIs in C# / ASP.NET Core, data in SQL Server and Cosmos DB, async messaging via Azure Service Bus, deployed on Azure. Front-end work as needed; the product surface matters as much as the back-end.
• Ship with AI tools as primary accelerators. Cursor, Claude Code, GitHub Copilot — daily use, not novelty. Move from idea to working prototype in hours.
• Build LLM-powered features into the product where they solve a user problem better than deterministic code: RAG over clinical content, agentic patterns, prompt engineering for production. Define guardrails for PHI, auditability, and clinical determinism.
• Hold the engineering bar. Your code goes through the same rigorous review, testing, and deployment process as any other production system.