Senior Product Manager, Clinical Risk

🕒 February 3

🗽 New York – Remote

🗽 New York – Remote

💵 $140k - $160k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

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Rightway

WebsiteLinkedInAll Job Openings

201 - 500 employees

⚕️ Healthcare Insurance

☁️ SaaS

🤝 B2B

💰 $100M Series C on 2021-03

Healthcare Insurance • SaaS • B2B

Rightway is a healthcare company focused on providing care navigation and pharmacy benefits management solutions. It specializes in helping employers and health systems lower healthcare costs and improve outcomes through personalized, proactive clinical support and transparent pharmacy benefits management. Rightway offers a human-first approach, providing real-time, one-on-one support to members to help them make better healthcare decisions and navigate the complexities of healthcare systems. The company aims to reduce healthcare costs while improving employee satisfaction with healthcare services.

📋 Description

• Own the product vision and roadmap for Rightway’s Clinical Risk & Engagement product suite, balancing near-term delivery (monitoring + identification) with a longer-term path to proactive and automated engagement. • Define the end-to-end “risk to action” workflow across teams: forecast → detect risk → explain drivers → prioritize opportunities → enable outreach → measure impact. • Build tools that reduce or replace manual analysis by enabling: • automated monitoring of employer populations against contractual guarantee thresholds • trend detection using contract rules and claims-based spend • clear views into “what changed” and “why we’re trending over”. • Create dashboard-style experiences to identify and understand the members driving spend, enabling rapid drill-down from customer → cohort → member. • Partner with clinical teams to develop a high-signal workflow that supports outreach and behavior change, including: • a prioritized, ranked “chase list” of members based on estimated intervention value • member context (condition, medication usage) and clinically appropriate alternatives • clear explanations that help clinical teams act confidently and consistently. • Ensure outputs are practical for real outreach operations (not just analytics), and iterate with fast feedback loops. • Partner with Data Engineering and Analytics teams to define the models and datasets that power these products, leveraging: • Rx claims, medical claims • demographics (age, sex) • member-provided information (health profile submissions). • Set standards for usability and trust: timeliness, data quality, explainability, and auditability (especially where contract rules and dollars are involved). • Explore opportunities to incorporate AI/ML where it improves model quality and prioritization without sacrificing interpretability and reliability. • Translate business needs into detailed requirements, user stories, acceptance criteria, and success metrics. • Lead discovery with financial risk and clinical partners; align stakeholders around scope, sequencing, and tradeoffs. • Manage a prioritized backlog across application engineering and data teams; ship iteratively and improve based on adoption and outcomes.

🎯 Requirements

• 3+ years of product management experience delivering complex, cross-functional products. • Strong comfort working with data-heavy systems (dashboards, internal tools, analytics products, forecasting/monitoring). • Proven ability to turn ambiguous workflows into shipped software that changes how teams operate. • Experience partnering closely with engineering, data engineering, and analysts to define models, instrumentation, and reliable reporting. • Ability to communicate clearly with technical and non-technical stakeholders and align them around measurable outcomes. • Experience bringing a product from 0 to 1, from the beginning of ideation through launch support. • Experience in healthcare, PBM, claims analytics, or clinical data. • Experience with financial risk products (forecasting, monitoring, guarantees, margin protection, unit economics). • Exposure to AI/ML concepts (predictive modeling, ranking, propensity, explainability) and using them responsibly in production products.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities