Note: The job is a remote job and is open to candidates in USA. Clarify Health Solutions is an outcomes-focused healthcare analytics company that partners with health systems to improve care economics and operational results. The Senior Product Manager will own components of the Clarify Meridian software from concept through release, using analytics, prototyping, quality assurance, and cross-functional collaboration to deliver dependable capabilities that customers rely on.
Responsibilities
- Take features from prototype through release, using AI-enabled coding to build and working with engineering to refine and deploy
- Own the quality bar for net-new capabilities, including regression testing and release gates. When bugs surface, own them to resolution: triage severity, drive the fix, and confirm it before release
- Translate product strategy and vision into clear methodologies and standards that guide engineering decisions and execution
- Act as the commercial and customer team's product partner — sharing roadmap, writing release notes, demoing the product, answering questions, and prioritizing bug fixes
- Keep existing capabilities dependable release over release, investigating issues and validating fixes for customers already on the platform
- Write the specifications and acceptance criteria for the components you own, effectively communicating a defined concept so that it can be built against
- Partner across engineering, analytics, and clinical informatics to align on methodology and resolve tradeoffs among data quality, speed, and scope
Skills
- Five or more years in product management, product analytics, or a comparable technical role
- Analytical fluency and direct comfort in data. You can interrogate a dataset, QA a metric, and defend a number without waiting on an analyst to pull it
- Technical aptitude and a builder's instinct. Coding is not required. You have prototyped or built product and can work with engineering on how something gets built, not only what
- Clear writing and speaking, including specifications engineering can execute against
- Bachelor's degree in a quantitative, technical, or health-related field, or equivalent practical experience
- Experience prototyping/building with AI tools is a plus
- Healthcare background strongly preferred. Familiarity with strategic and operational aspects of health systems that directly inform what we build. Experience with claims, provider or network data, or payer and provider workflows lets you contribute sooner
- Work on LLM-driven or AI-assisted features, including evaluating and validating generated output
Benefits
- Competitive compensation (base + bonus + equity)
- Quality health insurance
- Traditional 401K plan
- Vision, dental, disability and life insurance
- Flexible Spending Accounts and Commuter Benefits
- Generous PTO
- Flexibility
- Monthly work-from-home stipend
- Remote friendly
- A collaborative workplace, which will challenge you and celebrate your work
- A chance to learn with and from interesting and enthusiastic colleagues
Company Overview
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