Product Strategy – Operations Lead

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Qualified Health

51 - 200 employees

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

💰 $30M Seed on 2025-02

Healthcare • Artificial Intelligence • SaaS

Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.

📋 Description

• You’ll own how our product organization scales — shaping a multi-product portfolio, building the operating cadences that turn strategy into shipped work, and acting as the connective tissue across delivery teams so problems surface before they become fire drills. • Shape the product portfolio: find the reusable building blocks across clients instead of one-off builds for each customer. • Own core operating cadences: sprint planning, OKRs, and the idea-to-ship process from PRD through shipped learnings. • Run cross-team delivery coordination (scrum-of-scrums), keeping one honest view of the portfolio for leadership. • Build the systems that replace status-chasing with live visibility (Jira/Notion dashboards). • Own the delivery and reliability operating system: capacity gates, release sign-off, and partnering with engineering on system health. • Drive AI-native operations and co-own company-wide adoption of our internal AI workflow marketplace.

🎯 Requirements

• Multiple cycles across a few companies in product operations, R&D operations, technical program management, or an adjacent role where you owned how a product organization actually runs, ideally including time at a company going through fast scaling. • Demonstrated experience building operating models, OKR systems, and idea-to-ship or SDLC frameworks from a light starting point, not just administering ones that already existed. • Someone who has driven AI adoption for others, not just personal AI use. You have gotten other people and teams to change how they work, and made it stick. • Real, hands-on fluency building with modern AI tools with a strong point of view and a curious mind. • Experience coordinating delivery across multiple teams (a scrum-of-scrums, program-management, or portfolio capacity), or the clear appetite to grow into it. • Enough technical fluency to be useful in architecture, scaling, and reliability conversations with engineers, and the appetite to go deeper. You do not need to have run observability or release engineering yourself; you do need to want to learn it. • Comfort with Jira and Notion (or the equivalent), and the instinct to make a system of record that people actually keep current. • Strong cross-functional facilitation, especially the ability to move a stuck decision forward without owning the decision yourself.

🏖️ Benefits

• Health insurance • Paid time off • Flexible work arrangements • Professional development • Stock options

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