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 Programs
- Serve as the platform product representative on large-scale implementation engagements where platform decisions have long-term consequences for the commercial product.
- Distinguish between configuration opportunities and custom build decisions — ensuring implementation-driven requirements feed back into the platform roadmap rather than accumulating as one-off technical debt.
- Recognize when decisions made under implementation pressure create or foreclose product options at the platform level, and escalate those trade-offs with clear framing for senior leadership.
- Coordinate with systems integrator and implementation partner teams to ensure platform capabilities are correctly understood, correctly used, and correctly documented.
Influence Across the Organization
- Serve as the connective tissue between the Platform team and all HealthEdge product lines. You don't own their backlogs, but your platform decisions affect all of them.
- Build alignment across engineering, product, design, and business leadership on platform priorities without requiring top-down mandates.
- Communicate platform strategy and trade-offs clearly to both technical and non-technical audiences — executives need the business case, engineers need the spec.
What We're Looking For
Required
- 7–10+ years in product management, with significant time in platform, infrastructure, or developer productivity domains — not just feature product management.
- Demonstrated experience operating across multiple concurrent workstreams at the Principal PM level: setting priorities, making trade-offs, and holding delivery accountability.
- Track record of shipping platform capabilities adopted by multiple downstream teams. You've dealt with the internal adoption problem, not just the build problem.
- Strong technical acumen. You can read a system design, ask the right questions about architectural trade-offs, and recognize when a proposed solution is creating future problems.
- Meaningful hands-on experience with AI/ML product development: LLMs, RAG, agentic systems, or workflow automation — you've shipped something in this space, not just read about it.
- Experience with developer tooling, internal platforms, or infrastructure products where the customer is another engineering or product team.
- Excellent written communication. You write crisp acceptance criteria, clear strategy docs, and executive updates that don't need editing before they go out.
Strongly Preferred
- Experience in healthcare technology — payer platforms, claims processing, benefit administration, or adjacent regulated-industry software.
- Familiarity with AWS cloud services, particularly in the context of SaaS platform architecture decisions.
- Experience on large-scale enterprise software implementations — understanding how implementation programs expose platform gaps and feed roadmap requirements.
- Exposure to regulated deployment environments where compliance requirements (security, accessibility, audit) shape platform architecture decisions.
What Makes You Exceptional
- You think in systems. You see how a decision in the AI platform affects developer velocity affects product line delivery — and you use that to sequence work better.
- You don't wait for permission to identify and resolve cross-team blockers. You treat dependencies as your problem to solve, not someone else's to report on.
- You're comfortable saying no — to scope creep, to implementation-specific requirements that shouldn't live in the platform — and you can explain why in a way that builds trust rather than resentment.
- You have strong opinions on where AI is genuinely useful in a product platform context versus where it's hype, and you can defend those opinions with evidence.
Why Join Us
- Principal-level scope with direct impact on how HealthEdge engineers and product teams build software across the entire portfolio.
- A genuine opportunity to shape how AI and agentic workflows get embedded into a healthcare platform at scale — not a proof-of-concept, but production capability.
- Work at the intersection of platform engineering, AI product development, and large-scale healthcare implementation — a combination that doesn't exist at many companies.
- Backed by Bain Capital with $878M in revenue, 76% recurring revenue, and 25% EBITDA margins — stable, well-capitalized, and making serious platform investments.
- Direct reporting line to the Senior Director of Platform Product Management with clear visibility to executive leadership.
HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities.
The above statements describe the general nature and level of the job. They are not an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. Candidates may be required to undergo a pre-employment criminal background check.
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**The annual US base salary range for this position is $195,00 to $230,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will be determined during the interview process and is based on a combination of factors including, but not limited to, your skills, experience, qualifications and education.