Content Innovation, Claims Editing (Multiple Levels)

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

About the Opportunity 

Machinify is redefining Payment Integrity through smarter technology, richer data, and intelligent automation. We are seeking a claims editing content expert to help build the next generation of editing content and make healthcare payments more accurate and affordable.

As Content Innovation, Claims Editing, you will source, design, validate, and maintain the clinical and coding content that powers our editing products. You will find opportunities in policy and in the data, turn them into edits that hold up, and measure whether they deliver value for our health plan clients.

This is a build-and-scale role at the intersection of clinical editing, coding, reimbursement policy, data science, and product development. The ideal candidate brings deep clinical editing and coding expertise, a strong analytical instinct, and an open, practical interest in how AI can help us build better content, faster, while keeping quality and clinical accuracy at the center.

You do not need to be a data scientist. You do need to think in terms of evidence, measurable outcomes, and the value each edit creates for a client.

What you’ll do 

Source and author editing content

• Monitor and interpret authoritative sources, including CPT and HCPCS updates, ICD-10-CM guidelines, NCCI PTP and MUE tables, CMS manuals, NCDs and LCDs, specialty society guidance, and payer reimbursement policies.
• Translate coding rules, clinical guidelines, and reimbursement policy into precise, testable editing logic.
• Document the source, rationale, and scope of every edit so it is traceable, defensible on appeal, and easy to maintain.
• Separate portable, market-wide content from client-specific policy, and flag the difference clearly in all content and sizing work.
• Maintain existing content through quarterly code updates, policy changes, and performance reviews, and recommend when edits should be refined or retired.

Validate content with data

• Use claims data to test editing concepts before build, size the opportunity, and estimate hit rate, false-positive rate, and savings.
• Review edit output and production results to confirm edits fire as intended and to find gaps, over-reach, or missed opportunities.
• Track measures such as accuracy, hit rate, false positives, appeals, overturns, provider abrasion, and realized savings.
• Bring an analytical, value-first view to prioritization: what is the opportunity, how confident are we, and what will it return for the client?

Partner with Product and Data Science

• Work with Product, Engineering, and Data Science to turn content concepts into clear requirements, logic specifications, and test cases.
• Help data scientists understand clinical and coding context so models and analyses reflect how care is delivered and billed.
• Evaluate where AI tools, including large language models, can speed up policy research, concept discovery, content authoring, and quality review.
• Apply expert judgment to AI-generated content and help define the review standards that keep it accurate.

Support clients and internal teams

• Explain the rationale, sources, and expected impact behind editing content to client and internal audiences.
• Support client policy review, edit approval, and appeals with clear, well-sourced documentation.
• Bring client feedback and operational findings back into the content roadmap.

What experience you bring (Role Requirements)  

Required

• 7+ years of experience in claims editing, clinical coding, Payment Integrity, or payer policy, with hands-on experience authoring or validating edits.
• Active coding credential, such as CPC, CCS, CCS-P, CPMA, or CIC, or a clinical license (such as RN) paired with deep coding experience.
• Deep, current knowledge of CPT, HCPCS, ICD-10-CM, modifiers, NCCI, MUEs, coding guidelines, and documentation requirements.
• Working knowledge of reimbursement methodologies, including fee schedules, DRGs, APCs, and professional and facility billing.
• Experience sourcing and interpreting primary content, including CMS manuals, NCDs and LCDs, AMA guidance, and payer policies.
• Strong analytical skills and comfort working with claims data, using SQL, Excel, or similar tools to test hypotheses and measure results.
• Experience working with Product, Engineering, Data Science, or other multidisciplinary teams.
• Clear written communication and the ability to explain complex coding and clinical logic to nonclinical audiences.
• Curiosity about AI tools and willingness to use them in daily content work.
• Sound judgment and comfort working in a fast-moving build-and-scale environment.

Preferred

• Experience at a claims editing, Payment Integrity, or healthcare technology company.
• Experience across commercial, Medicare Advantage, and Medicaid lines of business.
• Clinical background (RN, LPN, or other licensed clinician) with direct patient care experience.
• Experience writing product requirements or logic specifications for engineering teams.
• Experience with Python, SQL, or BI tools for claims analysis.
• Experience presenting content rationale or savings analyses to health plan clients.

What Success Looks Like… 

The First 90 days

You will learn Machinify’s content portfolio, source library, technology, and development process; build working relationships with Product and Data Science; and deliver your first validated content updates or new concepts.

Within 6 to 12 months

You will own a content domain end to end, move multiple data-validated concepts into production, maintain accurate and current source documentation, contribute to at least one AI-assisted improvement in how content is built, and show measurable results in edit accuracy, speed, or client value

Pay range: $135,000 - $165,000 USD.  This exempt position. The salary range is for Base Salary. Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee’s geographic location. 

What’s in it for you       

• PTO, Paid Holidays, and Volunteer Days
• Eligibility for health, vision and dental coverage, 401(k) plan participation with company match, and flexible spending accounts
• Tuition Reimbursement
• Eligibility for company-paid benefits including life insurance, short-term disability, and parental leave.
• Remote and hybrid work options 

What values we’ll share with you 

• Ask why
• Think big
• Be humble
• Optimize for customer impact
• Deliver results