Sr. Product Manager | Pharmacy Payment Integrity
Remote · USFull-time$7.25/hrSeen 4w agoSeen in employer's feed today
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At a glance
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Job overview
Machinify seeks a Product Manager to transform pharmacy payment integrity from manual workflows to AI-first automation. The role owns the product roadmap for AI agents, voice AI and IVR automation, data acquisition, payment and recovery workflows, and customer-facing analytics. It partners with operations teams to identify workflows for automation and translate domain expertise into automated logic.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Experience Required
5 - 20 years
Minimum Education Required
High School Diploma/G.E.D.
Compensation
$7.25 / hourly
Hours Per Week
40
Number Of Positions
1
Work Schedule and Shift Requirements
First (Day)
Job Description
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.
Product Manager, Pharmacy Payment Integrity
Machinify is seeking a Product Manager to transform pharmacy payment integrity from manual workflows to AI-first automation. Own the product roadmap for AI agents, voice AI and IVR automation, intelligent data acquisition, automated payment/recovery workflows, and customer-facing analytics.
What you'll do
Agentic workflow automation: Design and ship AI agents that automate COB investigations, primacy determination, validation, claims tagging, and recovery handoff across Medicare, Medicaid, and commercial flows.
Voice AI and conversational data acquisition: Replace legacy IVR/phone-based verification with AI-powered conversational workflows; integrate third-party insurance discovery APIs and PBM portal automation.
Payment and recovery automation: Build end-to-end automation for bulk billing, auto-invoicing, denial recovery, and recovery submission workflows.
Customer-facing analytics: Redesign the customer portal with real-time dashboards, SLA transparency, recovery pipeline visibility, and self-service reporting that crystallizes customer ROI
AI agent capabilities: Define agent behavior, decision logic, human-in-the-loop handoffs, quality guardrails, and pilot-to-scale deployment plans.
Operational transformation: Partner with operations teams to identify high-volume, low-complexity workflows for automation; translate domain expertise into automated logic.
Requirements
Computer Science degree (BS/MS required)
5+ years of combined prior experience as both Product Manager AND Software Engineer (hands-on coding background required)
Technical understanding of agentic AI architectures, voice interfaces, API integrations, data pipelines, and BI platforms
Track record transforming manual processes into automation-first products with measurable ROI
Experience building customer-facing analytics for external clients
Strong collaboration with operations and domain experts
Management consulting experience and healthcare domain knowledge are a strong plus
What We Offer
Workfrom anywhere in the US!Machinifyis digital-first.
Top Medical/Dental/Vision offerings
FSA/HSA
Tuition reimbursement
Competitive salary, 401(k) with company match
Unlimited PTO
Additional health and wellness benefits and perks
Flexible and trusting environment where you'll feel empowered to do your best work
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.
Equal Employment Opportunity at Machinify
We are committed to equal employment opportunity regardless of r ace, color, ancestry, r eligion, s ex, national origin, s exual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at:https://www.machinify.com/candidate-privacy-notice/
Equal Opportunity Employer
Veteran Friendly Employer
Job Type
Full time
Benefits Offered
Not specified
Veteran Preference
No
Place of Work
On-site
Requisition ID
4120888009
How this job compares
Set against the 7,523 open Product Manager jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This posting$7.25/hr
- US median$65–75/hr159 hourly ranges
This rate, $7.25/hr, is 90% below the US median midpoint ($70/hr) — in the lowest quarter of Product Manager hourly ranges across the US.
- Openings
- Olive Jobs lists 64 open Product Manager jobs in Kentucky and 7,523 across the US. 10% of them nationwide are listed as remote or flexible.
- Hiring the most in Kentucky
- Highmark Health8 open
- Meta4 open
- Oracle4 open
- Experience
- This posting asks for at least 5 years of experience; Product Manager postings that state a minimum ask for 5 years at the median (6,455 postings).
- Education
- This posting asks for a bachelor's degree; 2,058 of the 7,523 open Product Manager jobs (27%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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