Principal Product Manager

HealthEdge is on a mission to drive the digital transformation of healthcare, and they are seeking a Principal Product Manager to own the breadth of their platform product portfolio. This role involves defining product strategy, driving delivery across multiple workstreams, and leading AI platform product development to ensure effective implementation and integration across the organization.

Responsibilities:

• 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
• 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
• 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
• 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
• 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

Requirements:

• 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
• 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