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Product Engineer

MCG Health · Remote · Remote · Active · $96,000–$135,000 / year · Greenhouse

Job facts

FieldValue
CompanyMCG Health
TitleProduct Engineer
Normalized title-
Department / teamSoftware Engineering & Design
LocationSeattle, WA, United States
Work modelRemote / Hybrid
Employment type-
Salary$96,000–$135,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-21 / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from MCG Health.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Seattle.Open
Department jobsActive postings in Software Engineering & Design.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMCG Health
Source51de3429-02a0-48fd-92e9-99188913efc1
ATS providerGreenhouse

Description

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 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 review, security, and reliability standards as any other engineer at MCG. What We're Looking For: 3+ years of professional software engineering experience Track record of at least one feature owned end-to-end — idea, ship, and measured impact. You can describe what you built, what you learned, and what you’d do differently Strong full-stack engineering depth in C# / ASP.NET Core (MCG’s primary stack), or comparable modern OO language Vue.js or equivalent modern front-end framework (React, Angular, Svelte) Microservices, distributed systems, async messaging SQL Server or equivalent relational database (PostgreSQL, Oracle, MySQL) Cosmos DB or equivalent document/NoSQL store (MongoDB, DynamoDB, Firestore) Azure Service Bus or equivalent messaging platform (RabbitMQ, Kafka, AWS SQS/SNS) Cloud-native development on Azure or comparable cloud (AWS, GCP) API design (REST), OAuth 2.0 / OIDC Effective at communicating with non-engineers customers, clinical operators, support, PMs Progress over movement. You instinctively distinguish work that advances outcomes from work that just feels productive Strong written communication. You document decisions and product context for the team Preferred Qualifications: Evals discipline — offline golden sets, LLM-as-judge, regression detection, online evaluation patterns. You can answer “how do you know your LLM feature is getting better or worse over time?” with specifics. Agent reliability in production — tool error handling, state management across long-running agent loops, retry/fallback design, knowing when to break out of an agent loop rather than spin indefinitely. Pay Range: $96,000 - $135,000 Other compensation: Bonus Eligible Location Preference: Seattle-based talent preferred for this role Perks & Benefits: 💻 Hybrid work ✈️ Travel expected 1–3 times per year for company-sponsored events 🩺 Medical, dental, vision, life, and disability insurance 📈 401K retirement plan; flexible spending and health savings account 🏝️ 15 days of paid time off + additional front-loaded personal days 🏖️ 14 company-recognized holidays + paid volunteer days 👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave 🌈 LGBTQ+ Health Services 🐶 Pet insurance 📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/ All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Note on interviews : We may use AI tools to audio-record and transcribe interviews for note-taking purposes. These are used only by our hiring team and do not make decisions on their own. Let us know if you prefer an alternative. All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Note on interviews : We may use AI tools to audio-record and transcribe interviews for note-taking purposes. These are used only by our hiring team and do not make decisions on their own. Let us know if you prefer an alternative. MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.

Full job record

Job IDef059bcb911187e9a37d9cdd0ef46f744d949f20
Org ID73cae256-34c7-4e35-adfb-aa31641e6a5e
Source ID51de3429-02a0-48fd-92e9-99188913efc1
Board ID51de3429-02a0-48fd-92e9-99188913efc1
Providergreenhouse
Provider Job Key8559829002
TitleProduct Engineer
Normalized Title
Statusactive
Activeyes
Location TextRemote
DepartmentSoftware Engineering & Design
Team
Employment Type
Workplace Typeremote
Remote Policyhybrid
CountryUnited States
RegionWA
CitySeattle
Salary RawPay Range: $96,000 - $135,000 Other compensation: Bonus Eligible Location Preference: Seattle-based talent pr
Salary Min96,000
Salary Max135,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/mcghealth/jobs/8559829002
Apply URLhttps://job-boards.greenhouse.io/mcghealth/jobs/8559829002
First Seen At2026-05-29 22:58:52Z
Last Seen At2026-06-06 20:18:52Z
Last Checked At2026-06-06 20:18:52Z
Last Changed At2026-06-03 10:47:29Z
Inactive At
Source Posted At2026-05-21 17:47:04Z
Source Updated At2026-06-02 15:15:44Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=mcghealth/date=2026-06-06/2026-06-06T20-18-52-018Z-7ebd62b765fa4d4ba28e3654c45c54842796f5d6ccc12857ebb7460f98e26c94.json
Event Fields
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Parsed Structured
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  "salary_period": "year",
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  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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