Principal Product Manager

Overview

About HealthEdge 

HealthEdge is on a mission to drive the digital transformation of healthcare. Our suite of solutions — led by HealthRules Payer, the industry's top-ranked commercial claims adjudication platform — enables payers, providers, and partners to deliver better outcomes, improve efficiency, and accelerate innovation. HealthEdge serves 6 of 9 national health plans and more than 80% of Blue Cross Blue Shield plans, processing billions of claims annually across 110M+ covered lives. 

 

The Platform team builds the foundational capabilities that power all HealthEdge products — from core engineering infrastructure to AI-native workflows — enabling our product lines to innovate at scale. This team operates at the intersection of product strategy, technical architecture, and delivery execution. 

 

About the Role 

We are seeking a Principal Product Manager to own the breadth of HealthEdge's platform product portfolio. This is a senior individual contributor role with broad scope and organizational visibility — responsible for platform strategy execution, cross-product coherence, and delivery accountability across multiple concurrent workstreams. 

 

You will work across platform capabilities spanning core infrastructure, developer experience, and AI-native product development — including agentic workflow infrastructure built on AWS Bedrock AgentCore and Strands SDK — as well as large-scale implementation programs where platform decisions carry long-term product consequences. You will be the connective tissue between platform engineering, product lines, and external partners — ensuring platform investments translate directly into product velocity and customer outcomes. 

 

This is a Principal-level role because the work requires more than execution within defined scope. You will be making consequential product strategy calls: deciding when configuration is the right answer versus custom build, identifying where platform investments create leverage across product lines, and recognizing when a decision in one workstream forecloses options in another. You need to see across all of it simultaneously. 

 

What You'll Do 

Own Platform Strategy Execution 

• Define and maintain a coherent product strategy across the platform portfolio that reflects business priorities, engineering realities, and customer impact. 

• Translate senior leadership direction into actionable platform roadmaps with clear prioritization rationale, milestone structure, and success criteria. 

• Identify cross-product leverage opportunities — where a platform investment in one area accelerates delivery across two or three product lines — and make the case for sequencing accordingly. 

• Own the platform assumptions and constraints that downstream product teams build on, and actively manage when those assumptions need to change. 

 

Drive Delivery Across Concurrent Workstreams 

• Maintain a prioritized, execution-ready product backlog for each platform workstream. Acceptance criteria are written before stories enter a sprint, not after. 

• Run or oversee sprint ceremonies across platform engineering teams. Know when to delegate and when to be in the room. 

• Manage cross-team dependencies proactively. When platform work blocks a product team or an external partner, you own the path to resolution. 

• Track delivery against committed milestones and surface risks early. No surprises to leadership or partners on timeline slippage. 

 

Lead AI Platform Product Development 

• Own the product vision and delivery roadmap for HealthEdge's AI platform capabilities — including agentic workflow infrastructure, model integration patterns, and developer-facing AI tooling built on AWS Bedrock AgentCore and Strands SDK. 

• Partner with engineering to establish reusable AI services and agent frameworks that reduce duplication across product lines and accelerate feature team velocity. 

• Identify and pilot high-impact AI use cases in collaboration with engineering, product, and business leaders. Define clear success metrics, measure results, and scale what works into core platform capabilities. 

• Define KPIs for AI platform adoption: time-to-integrate for product teams, workflow cycle time reduction, coverage across the SDLC, and measurable productivity outcomes. 

• Stay current on the rapidly evolving AI/agent tooling landscape and bring informed, opinionated recommendations on where HealthEdge should invest versus integrate versus wait. 

 

Support Large-Scale Implementation P