Senior Product Manager
Senior Product Manager who owns one of Machinify's core healthcare-intelligence product lines end-to-end — strategy, roadmap, go-to-market, and financials — reimagining manual health-plan workflows with an AI-native platform. Day-to-day spans cross-functional leadership with Design, Engineering, Data Science, and Operations, plus analytics-driven optimization.
- Compensation
- Not disclosed
- Location
- US
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Product
- Posted
Skills
Must have
- Extensive Product Management experience delivering complex software products in AI/ML, data-intensive, or healthcare domains
- End-to-end product ownership mindset — owned product strategy, execution, and business outcomes, not just the backlog
- Track record of managing trade-offs between short-term wins and long-term platform bets
- Experience partnering with operations or domain-expert teams to build products that work in the real world
- Strong design partnership skills and UX sensibility
- Technical depth — comfort with data pipelines, rules engines, and AI/ML systems
- Initiative and ownership — drive projects from vision to prototype to shipped product
- Excellent communication and decision-making skills, with ability to build trust across Engineering, Operations, Sales, and leadership
Nice to have
- Prior engineering experience
Full 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.
Machinify is seeking a Product Manager to own one of our core product lines end-to-end — from product strategy and roadmap to go-to-market, financials, and business outcomes. This role is responsible for taking the product to the next level: reimagining manual, high-friction workflows with AI and automation, and building a platform that delivers an order-of-magnitude advantage for our clients. You'll own the full product lifecycle — vision, design, engineering execution, operations, and client outcomes.
What You'll Do
- Own the product end-to-end: strategy, roadmap, execution, go-to-market, and financial performance
- Define and drive the product vision for an AI-native platform, transforming the workflows at the core of how the product delivers value
- Translate customer needs and market opportunities into requirements for Design, Engineering, and Data Science
- Partner with operations teams to ensure product-market fit and operational viability at scale
- Work closely with Design to create impactful interfaces and workflows that drive user productivity and client outcomes
- Own product analytics, KPIs, and continuous improvement — relentlessly measuring and optimizing for accuracy, efficiency, and business impact
- Drive cross-functional alignment across Engineering, Operations, Sales, and Client Success
- Develop deep domain and platform expertise — and estimate technical complexity to make smart trade-offs
What You Bring
- Extensive Product Management experience delivering complex software products in AI/ML, data-intensive, or healthcare domains
- End-to-end product ownership mindset — you've owned a product's strategy, execution, and business outcomes, not just the backlog
- Track record of managing trade-offs between short-term wins and long-term platform bets
- Experience partnering with operations or domain-expert teams to build products that work in the real world
- Strong design partnership skills and UX sensibility
- Technical depth — comfort with data pipelines, rules engines, and AI/ML systems; prior engineering experience is a plus