Full-Time

Engineering Director

Qualified Health

Qualified Health

51-200 employees

Data-driven healthcare compliance and security

Compensation Overview

$240k - $310k/yr

+ Equity

Palo Alto, CA, USA

Hybrid

Hybrid role; some on-site days in Palo Alto, CA.

Category
Engineering Management (1)
Required Skills
LLM
Machine Learning

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Requirements
  • 10–15+ years of engineering experience, including sustained, 4+ years of ongoing experience as a people manager
  • Track record of growing a team from a small group to 10+ people
  • Experience managing 10–15+ engineers, either directly or through other managers
  • Demonstrated full-cycle people management skills: performance management, conflict resolution, and career development
  • Comfort with system design and architecture discussions; some hands-on coding ability is expected; high comfortability and expertise with system design
  • Strong technical breadth across backend engineering, applied AI/ML, and platform or distributed systems, with experience taking applications into production
  • Background as an engineering tech lead prior to transitioning into management
Responsibilities
  • Own full people management responsibilities across your organization: performance reviews, conflict resolution, career progression, and hiring
  • Build and scale a high-performing engineering organization, growing headcount thoughtfully as the org expands
  • Drive the roadmap and delivery across the full engineering organization, including application scaling and delivery, new product development, and our core platform
  • Guide the adoption of the latest LLM methodologies and applied AI techniques to solve some of the hardest, highest-impact problems in healthcare
  • Lead modernization of the platform to support a scaling application layer
  • Manage and develop the managers and functional leads across your organization
  • Partner with executive leadership to align roadmaps and priorities across Applications and Platform
  • Stay close enough to the technical work to make sound decisions and unblock your teams (~10%-50% hands-on), while spending the majority of your time on management and leadership
  • Support client accounts' engineering needs, helping the business prove out value-based contract commitments
Desired Qualifications
  • Experience at both a big tech company and a growth-stage startup
  • Prior experience leading engineering for a health-tech business (not required, but a plus)
  • Experience operating in value-based or outcomes-based contract environments
  • Familiarity with modern LLM tooling and methodologies
  • Experience partnering with account or business leadership on high-stakes, high-value client relationships

Qualified Health AI provides data-driven software solutions for United States healthcare providers to manage patient information while complying with HIPAA and safeguarding privacy. It collects and processes healthcare data to streamline administration and support clinical decisions, using automated tools to improve efficiency within regulatory standards. The company adds collaborative features like blogs and teaching games to enable knowledge sharing and professional development. Its goal is an integrated platform that helps healthcare entities improve daily operations, protect patient privacy, and foster ongoing learning.

Company Size

51-200

Company Stage

Series B

Total Funding

$155M

Headquarters

Palo Alto, California

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • March 2026 Series B raised $125 million from NEA, Anthropic-linked, and others.
  • UTMB reported more than $15 million run-rate impact within six months.
  • By March 2026, Qualified Health supported over 500,000 users across health systems.

What critics are saying

  • Revenue concentration risk is severe: a few hospital-system deals drive most 2026 traction.
  • If UTMB and Mercy deployments stall before end-2026, Qualified Health loses category credibility.
  • OpenAI, Epic, and incumbent EHR vendors can bundle similar AI into existing contracts.

What makes Qualified Health unique

  • Qualified Health sells HIPAA-governed enterprise AI, not isolated pilot tools, as of March 2026.
  • Its platform pairs workflow automation, auditability, traceability, and continuous monitoring for health systems.
  • Anthropic-backed deployments across UT System and Mercy signal deep integration into enterprise workflows.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Flexible Work Hours

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

-13%

2 year growth

-5%
PR Newswire
Aug 11th, 2026
LCMC Health partners with Qualified Health to deploy AI across 15,000-staff system

LCMC Health has partnered with Qualified Health to integrate generative AI across its healthcare system. The collaboration will deploy Qualified Health's HIPAA-compliant AI platform to support LCMC Health's 15,000 clinicians and staff. The platform combines automated agent development, secure access controls, patient consent safeguards, and real-time performance monitoring. It aims to identify patients overdue for recommended care, screenings, or follow-up services whilst reducing administrative burden. The partnership marks a shift from limited AI pilots to an enterprise-wide approach. LCMC Health, a Louisiana-based not-for-profit hospital system established in 2009, currently manages eight healthcare facilities across the Gulf Coast region. Qualified Health's platform is designed to embed AI tools into care delivery, operational workflows, and revenue cycle management.

Fierce Healthcare
Mar 25th, 2026
Qualified Health locks in $125M in fresh funding to scale enterprise AI at health systems

Qualified Health, a startup that works with health systems to evaluate and adopt artificial intelligence technology, raised $125 million in fresh funding to scale up its business. | Qualified Health, a startup that works with health systems to evaluate and adopt artificial intelligence technology, raised $125 million in fresh funding to scale up its business.

Carpenter Media Group
Mar 25th, 2026
Qualified Health raises $125M Series B to meet growing demand for enterprise AI transformation across health systems.

Qualified Health raises $125M Series B to meet growing demand for enterprise AI transformation across health systems. PR Newswire Today at 3:30am PDT Leading health systems including Mercy, Emory Healthcare, University of Rochester Medicine, Jefferson Health, and the University of Texas System are partnering with Qualified Health to deploy and scale AI safely across the enterprise PALO ALTO, Calif., March 25, 2026 /PRNewswire/ - Qualified Health, a public benefit corporation providing a secure enterprise AI platform built for health systems, today announced a $125 million Series B financing round led by global venture capital firm, New Enterprise Associates, Inc. (NEA), with participation from new investors Transformation Capital, GreatPoint Ventures, Cathay Innovation, and Menlo Ventures' Anthology Fund, an AI innovation fund created in partnership with Anthropic. Existing investors SignalFire, Frist Cressey Ventures, Flare Capital Partners, Healthier Capital, Town Hall Ventures, and Intermountain Ventures also participated. Qualified Health's financing reflects growing demand from health systems seeking a platform partner capable of deploying and scaling AI safely across the entire organization, rather than through isolated pilots. "We are living through a generational shift, one where AI doesn't just augment how organizations work but fundamentally transforms them from the inside out," said Mohamad Makhzoumi, Co-CEO of NEA, who will join Qualified Health's Board of Directors in conjunction with the financing. "From NEA's nearly five decades of company-building experience, we believe the organizations shaping the next era of healthcare innovation will be those helping health systems reimagine every administrative and clinical workflow from the ground up, and Qualified Health is exactly that company. We are thrilled to lead this financing and to partner with Justin and team to accelerate healthcare's AI transformation and shape the future of healthcare enterprises across the country." "Health systems today are operating under extraordinary pressure, from rising labor costs to tightening reimbursement, while managing increasing complexity in patient care," said Jared Kesselheim, MD, Managing Partner at Transformation Capital. "What stood out to us about Qualified Health is that the team approaches this work as medical care specialists, with a deep understanding of the realities health systems face every day. That perspective allows them to identify where AI can create meaningful clinical and operational impact. We're excited to partner with Justin and the Qualified Health team as they help leading health systems navigate this next phase of healthcare." Early partners are already seeing results Mercy, Emory Healthcare, University of Rochester Medicine, Jefferson Health, and all eight health institutions of the University of Texas System, including UT Medical Branch, UT Health San Antonio, MD Anderson Cancer Center, UT Health Houston, UT Southwestern Medical Center, UT Health Tyler, UT Rio Grande Valley, and Dell Medical School at UT Austin, are partnering with Qualified Health to redesign clinical and operational workflows across the enterprise. Across Qualified Health's health system partners, early deployments are already delivering measurable results in revenue uplift and cost savings. At the University of Texas Medical Branch (UTMB), within the first six months, Qualified Health established a secure data foundation across EHR and non-EHR data sources, deployed multiple assistants and automated workflows, and generated more than $15 million in measurable run-rate impact. "Qualified Health has been an exceptional partner as we build and execute our AI strategy at UTMB," said Peter McCaffrey, MD, Chief AI & Digital Officer at University of Texas Medical Branch. "Their team brings deep expertise and a real willingness to dive deep alongside our clinicians, operators, and leadership teams. Together, we've been able to focus on the highest-priority opportunities, move quickly from idea to implementation, and stay ahead of the curve as we navigate this period of rapid change. The ROI has already exceeded expectations." At Mercy, leaders are using the platform to rethink workflows across the health system. "This is about transforming care in a way that every patient encounter is safer, more connected and more human," said Byron Yount, Chief Data & AI Officer at Mercy. "AI allows us to simplify complex workflows, anticipate patient needs earlier and give caregivers the time and clarity they need to provide high-quality care. Our partnership with Qualified Health accelerates this transformation, helping us turn AI into a meaningful path for better outcomes and a better daily experience for the people we serve." Turning AI ambition into operational reality Qualified Health works with health system leadership to define a practical strategy for AI adoption, deliver immediate value on the highest priority problems, and build the capabilities required for long-term transformation. Scaling AI across the enterprise is as much an organizational challenge as a technical one. Health systems must integrate fragmented data sources, embed AI into live clinical and operational workflows, and maintain rigorous governance, while bringing clinicians and staff along the journey through upskilling and change management "About a year ago, we convened a summit of twenty health system AI and C-suite leaders to discuss how their organizations are implementing AI," said Jared Kesselheim, MD, Managing Partner at Transformation Capital. "What we heard consistently was the need for a trusted partner and platform that could help them deploy AI safely, responsibly, and in compliance with healthcare regulations while also avoiding the complexity of working with many different point solutions. As we got to know the Qualified Health team, we gained deep conviction that their company is ideally positioned to be this trusted partner - conviction that was reinforced by the enthusiasm of the health systems already working with them and the depth of those partnerships." Safety and governance are embedded directly into the platform, including clinician oversight, full auditability and traceability of decisions, clear source attributions, and continuous monitoring after deployment. "Working with Qualified Health helps us strengthen our commitment to safe and responsible integration of AI technologies within administrative workflows," says Lisa Nelson, Chief Applications Officer at University of Rochester Medicine. "We're able to harness their infrastructure and discipline as we work toward a system-wide, centralized strategy, where AI is deployed while preserving and building upon our top-quality patient experience and health outcomes." "What AI can do as a longitudinal platform for health systems is the quintessential use case," said Mohamad Makhzoumi, co-CEO of NEA and lead investor in the round. "At NEA, we are known for making very large investments in a small, select number of companies we believe in deeply, and we are going all-in on Qualified Health as the launch pad for health systems to transform their organizations. We will be a partner in building Qualified Health the way Salesforce was built for sales, the way Workday was built for HR. This is a category-defining opportunity." Looking ahead The Qualified Health platform currently supports more than 500,000 users across health systems representing approximately 7% of U.S. hospital revenue. The new capital will support continued investment in Qualified Health's enterprise platform, accelerating deployment across health system partners while expanding governance, monitoring, and infrastructure required for mission-critical AI in healthcare. "We have been trusted with large, transformational mandates, and we've built a team and platform designed to deliver on that responsibility," said Justin Norden, CEO and co-founder of Qualified Health. "This next phase is about deepening those partnerships, scaling responsibly, and proving that AI can deliver better patient outcomes, stronger financial sustainability, and meaningful relief for the clinicians who carry this system on their backs. The health systems we serve are not just looking for incremental improvement. They're looking to fundamentally transform how care is delivered, and we're honored to be their partner in that work." About Qualified Health Qualified Health is the enterprise AI platform and strategic AI partner helping health systems deploy safe and scalable AI to drive measurable clinical and financial outcomes. Its platform combines workflow automation, agent development, clinical safeguards, real-time monitoring, and end-to-end governance with deep healthcare and AI expertise, helping healthcare leaders realize value at scale. Qualified Health is built and led by former health system executives, frontline physicians from leading institutions, clinical transformation experts, and Silicon Valley engineers, bringing the domain depth and operational rigor required to deploy, scale, and govern AI applications safely and responsibly at enterprise scale. Media Contact: Yancey Casey Supreme Communications on behalf of Qualified Health [email protected] SOURCE Qualified Health This is a paid placement. For further inquiries, please contact PR Newswire directly.

MobiHealthNews
Mar 25th, 2026
Qualified Health raises $125M to scale generative AI in health systems.

Qualified Health raises $125M to scale generative AI in health systems. The company aims to help health systems deploy, govern and scale generative AI across clinical care and administrative workflows. By Jessica Hagen | March 25, 2026 | 10:52 AM Qualified Health, a public benefit company providing AI evaluation and implementation in healthcare, announced a $125 million Series B raise led by New Enterprise Associates. New investors Transformation Capital, GreatPoint Ventures, Cathay Innovation, Anthropic and Menlo Ventures' Anthology fund participated in the round, alongside existing investors SignalFire, Frist Cressey Ventures, Flare Capital Partners, Healthier Capital, Town Hall Ventures and Intermountain Ventures. Mohamad Makhzoumi, co-CEO of NEA, will join Qualified Health's board of directors. WHAT IT DOES The Qualified Health platform provides health organizations with the infrastructure to deploy and scale generative AI, including governance frameworks, post-deployment monitoring and role-based access controls. The platform also includes a risk alert system, data privacy protections designed to mitigate AI hallucinations, and a healthcare-focused AI agent creation tool to automate administrative workflows. The funding will be used to enhance its platform and accelerate the deployment of its enterprise offering across health systems. "This next phase is about deepening those partnerships, scaling responsibly and proving that AI can deliver better patient outcomes, stronger financial sustainability and meaningful relief for the clinicians who carry this system on their backs," Justin Norden, CEO and co-founder of Qualified Health, said in a statement. "The health systems we serve are not just looking for incremental improvement. They're looking to fundamentally transform how care is delivered, and we're honored to be their partner in that work." MARKET SNAPSHOT In early January, the company announced a partnership with the University of Texas System's health institutions to deploy genAI into care delivery, research environments and across operations. The collaboration was anchored in the University of Texas Research, Engineering and Application Laboratory for Healthcare Artificial Intelligence (UT REAL Health AI) initiative. Later that month, Qualified Health and Anthropic announced a partnership to launch AI across the University of Texas System (UT System). Qualified Health's AI, powered by Anthropic's Claude, would be deployed across the UT System to identify, evaluate and provide access to patients who may need a certain level of care. Qualified also announced a collaboration with health system Jefferson Health to develop and deploy genAI across its multi-state network to support clinicians and improve patient care.

PR Newswire
Jan 21st, 2026
Qualified Health and Anthropic deploy Claude AI across University of Texas System to identify millions of eligible patients for guideline-based care

Qualified Health and Anthropic have launched an AI deployment across the University of Texas System to identify patients eligible for guideline-recommended care. The system, powered by Anthropic's Claude, analyses millions of medical records to surface care gaps across Texas's vast health network. The AI system is now live at the University of Texas Medical Branch, initially focusing on cardiology care. It parses complex clinical data and applies validated guidelines to identify patients warranting further clinical review, surfacing them directly into care team workflows. An estimated 4-6 million Texas patients annually miss evidence-based care due to fragmented systems and labour-intensive chart reviews. The platform will expand across the UT System by end of 2026, extending to primary care, vascular, gastrointestinal, rheumatology and neurology specialties.