Director, AI Transformation
Hybrid Role; Travel required
Transform healthcare with us.
At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.
This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.
Join us in shaping the future of healthcare.
Job Summary:
The Director, AI Transformation will play a pivotal role in managing and delivering value to our healthcare clients. This individual will be responsible for overseeing client engagements, ensuring successful project execution, developing product requirements, and maintaining strong client relationships. The Director, AI Transformation will be the primary point of contact for 2-3 key clients, attending all meetings, and coordinating action items between clients and internal teams. Additionally, this person will support the implementation team during the launch phase to maximize client experience and will facilitate the data integration process, understanding various client data environments and internal engineering team requirements to successfully deliver the product.
Key Responsibilities:
Serve as the primary liaison between Qualified Health and assigned clients.
Develop and manage against Partnership Plan including articulation of business goals, KPI definition and project plans.
Lead all client meetings, providing updates, gathering feedback, and ensuring alignment on project goals.
Coordinate and execute action items, ensuring timely delivery of project milestones.
Perform thorough workflow analysis, identification of critical areas for value creation, and provide additional requirements to product teams as necessary.
Identify new use cases and create business and product requirements that provide incremental value to the client.
Monitor project progress, identify potential issues, and implement creative solutions to deliver client value.
Develop and maintain strong relationships with clients, understanding their needs and ensuring their satisfaction.
Continuously seek opportunities to improve client engagement processes.
Facilitate the data integration process in collaboration with engineering, understanding various client data environments and internal engineering team requirements to successfully deliver the product.
Collaborate with internal teams, including product development and engineering, to deliver solutions that meet client requirements.
Prepare and present regular status reports to clients and internal stakeholders.
Required Qualifications:
Education: Bachelor’s degree in Engineering, STEM, Business Administration, Information Technology, or a related field. A Master’s degree is preferred.
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Required Experience:
Minimum of 2-4 years of experience in consulting, client engagement, and/or product management.
Proven track record of successfully managing client relationships and delivering complex projects.
Ideal Experience
Minimum of 2-4 years of experience in customer success, client engagement, account management, and/or product management within the healthcare provider industry.
Experience with data integration processes and understanding of various client data environments.
Experience working with AI technologies or healthcare IT solutions is highly desirable.
Desirable Skills:
Communication: Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely.
Interpersonal Skills: Strong interpersonal skills, with the ability to build and maintain positive relationships with clients and internal teams.
Problem-Solving: Proactive problem-solving abilities, with a focus on finding effective solutions to client challenges.
Organizational Skills: Exceptional organizational and time management skills, with the ability to manage multiple projects simultaneously.
Adaptability: Flexibility and adaptability to work in a fast-paced, dynamic startup environment.
Customer Focus: A strong customer-centric mindset, with a commitment to delivering exceptional value to clients.
Team Player: Collaborative team player who can work effectively with cross-functional teams to achieve common goals.
Self Starter: Ability to work independently with minimal supervision
Travel Requirements
This role requires significant travel to healthcare client sites, often for extended engagements. Candidates should be prepared for up to 40% travel, depending on active projects.
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits
The pay range for this role is between $175,00 and $195,000, and will depend on your skills, qualifications, and experience. This role is also eligible for equity and benefits.
Engineering Manager
Transform healthcare with us.
At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.
This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.
Join us in shaping the future of healthcare.
Job Summary:
Our engineering organization has tripled in size over a short period, and we are seeking an Engineering Manager to provide the close, day-to-day leadership our engineers need as we scale. This role directly manages a team within one of our core areas — application scaling and delivery, new product development powered by cutting-edge AI and LLM methodologies, or our core platform — reporting into a Director of Engineering.
The Manager will be hands-on with both people and technical work: running performance and growth conversations for their direct reports while staying close enough to the day-to-day engineering to review designs, unblock the team, and weigh in on key decisions. This role executes against the roadmap set by their Director, translating priorities into clear plans for their team.
We are looking for a people leader with direct, hands-on management experience — someone who has grown and led a small engineering team and is ready to keep building on that foundation.
Key Responsibilities:
Directly manage a team of engineers, typically 5–6 direct reports, with full ownership of day-to-day people leadership
Conduct performance reviews, resolve conflict, and support career progression and growth for each member of your team
Partner with your Director of Engineering to translate roadmap priorities into clear, executable plans for your team
Stay hands-on with the technical work as needed — reviewing designs, unblocking engineers, and weighing in on key technical decisions
Recruit, hire, and onboard new engineers as the team continues to grow
Foster a strong team culture and clear channels for feedback, especially as the broader organization scales
Support modernization of the platform to keep pace with the scaling application layer
Apply modern LLM methodologies and applied AI techniques to help solve some of the hardest, highest-impact problems in healthcare
Support new product initiatives from concept through production deployment
Help drive process and delivery rigor as the applications org matures
Required Qualifications:
8+ years of engineering experience, including 2+ years of direct experience as a people manager
Track record of growing or leading a small engineering team, ideally from a handful of engineers toward 5–10 people
Demonstrated people management fundamentals: performance management, conflict resolution, and career development
Strong technical foundation with the ability to engage credibly in system design and architecture discussions
Prior technical lead engineering experience in backend distributed systems, building out microservices, rest APIs, and AI/ML.
Experience shipping and supporting applications in production
Comfort operating in a fast-growing, fast-changing engineering organization
Desirable Skills:
Experience at both a large technology company and a growth-stage startup
Applied AI/ML or LLM experience, particularly for teams focused on new product development
Prior experience in platform, foundational, or distributed systems engineering
Experience in a healthcare-related business (not required, but a plus)
Familiarity with value-based or outcomes-based contract environments
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits: The pay range for this role is between $220,000-$280,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
Engineering Director
Transform healthcare with us.
At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.
This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.
Join us in shaping the future of healthcare.
Job summary
Our engineering organization has tripled in size over a short period, and we are seeking a Director of Engineering to set the strategic direction and organizational structure for this next stage of growth demands. This is an engineering leadership role with ownership across our entire engineering organization — application scaling and delivery, new product development powered by cutting-edge AI and LLM methodologies, and our core platform.
The Director will lead through a team of technical leaders, shaping org-wide roadmap priorities, resourcing, and technical direction rather than running any single team day-to-day. This role is central to our value-based contracting strategy, working directly with senior leadership and major accounts to help realize and demonstrate substantial business value.
We are looking for a proven, sustained engineering leader with a track record of building and scaling engineering organizations and developing managers into stronger leaders.
Key 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
Required Qualifications
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
Desirable Skills
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
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits: The pay range for this role is between $240,000-$310,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
Product Strategy & Operations Lead
Product Strategy and Operations Lead
Location: Remote (US)
Team: Product Strategy and Operations
Reports to: SVP, Product
Level / title: IC/Lead
About Qualified Health
Qualified Health is a clinical AI company. We turn the noise inside health system data into signal that clinical and financial leaders can act on, in ways the incumbent systems of record can't. Our product is not a feature set. Our product is the outcome: value realized inside a small number of large health systems we partner with deeply.
We are moving fast, building something that doesn't fit the traditional SaaS mold. It is intense and it is genuinely fun. The work is real and the stakes are real, because what we ship has to earn the trust of clinicians and the confidence of CFOs.
At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.
This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.
Join us in shaping the future of healthcare.
The role
Product operations here is a function of one today. You would be the second person in it, and the first hire into it.
The simplest way to describe the job: you are the product manager for the product and R&D organization. Your customers are the people who build, the product team, engineering, data, design, and the AI Transformation team. Your job is to understand their friction, then put the systems, cadences, tooling, and ways of working in place that let each of them operate at the top of their license.
It is also a strategy role, not only an operations one. You will help shape where our product portfolio is going, not just how it runs: how products scale, and what reusable core lives inside the things we build for individual clients. At heart this is a connector role. You sit above the individual teams and products and find the through-lines, the shared building blocks, and the leverage that no single team sees from inside its own work.
You will not do this by showing up with process and telling people to follow it. You will do it by understanding what is actually holding the org back, then designing the lightest change that solves it and bringing people along on why it matters.
This is a hands-on, build-it-yourself role, not a manage-a-team role. You will be in the tools, in the repos, and in the rooms. It is also a role with room to grow: the surface is wide on purpose, spanning product strategy and portfolio, the product operating model, delivery coordination across teams, the systems that keep us reliable as we scale, and making the whole company AI-native.
What you will own
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.
What we are looking for
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.
Who you are
You measure your work by outcomes, not motion. While you’ve worked on the process, your orientation is to the customer. You are a connector. You see the through-lines across teams and products that no one sees from inside a single one, and you turn them into leverage.
You are a change agent for AI. You don't just use the tools well yourself; you get a whole organization to change how it works, and you make that change feel like a gift rather than a mandate.
You operate light. You can build the right amount of process for a 100-person company and resist the urge to import the playbook from a 500-person one. You earn adoption by solving real pain, not by mandate.
You learn before you change. You will want to understand how things work and who they work for before you redesign them, and you will manage the change deliberately when you do.
You want the org to work with joy. You believe, and have seen, that teams that enjoy the work do better work, and you treat internal friction as a problem worth solving for its own sake.
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits: The pay range for this role is between $180,000 and $210,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
Senior Forward Deployed Data Engineer, Data Modernizaton
Transform healthcare with us.
At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change.
This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.
Join us in shaping the future of healthcare.
About Forward-Deployed Engineering at QH. Data Modernization is a forward-deployed function. Every role on this team — leadership and IC alike — works directly with health system customers, on-site and in their environments, throughout the engagement. This is not a back-office data role: you'll sit with the customer's data and IT teams, present your work to their technical leadership, and be accountable for outcomes they can see. All roles are Senior/Staff level or higher.
Note on platform specialization: We are hiring Senior / Staff Data Engineers who each own deep expertise in one of our three target platforms — Databricks, Snowflake, or Microsoft Fabric. This single posting covers all three seats; we'll match you to the platform where your depth is strongest during the process. The core of the role — landing health system data in a modern lakehouse and serving as the platform-specific technical lead on an engagement — is the same across all three.
Job Summary
This is the role where the data actually moves. As a Senior Forward Deployed Engineer on the Data Modernization team, you own the platform-specific build that takes a health system from legacy connectivity — flat files, manual SFTP, a half-finished Clarity database — to a modern, AI-ready lakehouse that can serve our agentic AI workflows at full speed.
You are the deep platform expert for your stack. During an active engagement, you serve as the platform-specific technical lead under the Principal Solutions Architect: you own the ingestion, the medallion architecture, the governance configuration, and the data-sharing pattern on your platform. Between engagements, you sustain our production environments, build the accelerators and reusable IP that make the next engagement faster, support pre-sales technical discovery, and cross-train on the other platforms so the team stays flexible.
These are time-boxed, high-stakes builds. A greenfield foundation goes from zero to a live AI workflow in roughly ten weeks; an acceleration engagement folds hundreds of Clarity tables into an existing lakehouse on weeks-to-months timelines. You'll ship production-grade work in a regulated environment, where "done" means it's governed, documented, and ready to hand to the integration team — not just that the pipeline ran once.
Key Responsibilities
Work forward-deployed inside the customer's environment: partner directly with their data and IT teams, present design decisions and progress to their technical leadership, and represent QH on-site during kickoffs and key milestones
Own platform-specific architecture and build for your stack during active engagements, as technical lead under the Principal Solutions Architect
Design and implement ingestion from EHR and source systems (Epic Clarity / Caboodle, FHIR, ERP, scheduling, claims) into a medallion lakehouse
Build and harden change-data-capture, transformation, and orchestration pipelines that meet engagement timelines
Configure governance, access control, and the data-sharing pattern that hands clean, AI-ready data to QH's platform (Delta Sharing, Fabric External Sharing, Snowflake Reader Accounts, or equivalent)
Sustain production environments handed off from prior engagements, and develop reusable accelerators and IP that compress the next build
Support pre-sales technical discovery and source-data assessment alongside the Principal SA
Ensure every environment meets handoff criteria for the Client Integration team — governed, documented, reproducible
Cross-train on the other two platforms to keep the team flexible across single- and multi-engagement states
Required Qualifications
8+ years in data engineering or data platform roles, at a Senior or Staff IC level
Client-facing maturity — comfortable working on-site in a customer's environment and presenting technical work to their data and IT leadership
Deep, hands-on expertise in at least one of Databricks, Snowflake, or Microsoft Fabric (see platform note above)
Has shipped production data workloads in a regulated environment (HIPAA, HITRUST, or comparable)
Strong in Python and distributed data processing (PySpark or equivalent), plus SQL and modern transformation tooling
Comfortable as the sole platform expert on an engagement — you can own a build, not just contribute to one
Infrastructure-as-code fluency (Terraform) and CI/CD discipline (GitHub Actions)
Platform-Specific Depth (own one)
Databricks: Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables, Photon. Bonus: production Databricks experience inside a health system or Databricks partner consultancy.
Snowflake: Snowpark, Reader Accounts, Streams & Tasks, Dynamic Tables, Snowpipe, strong dbt fluency. Bonus: Epic Clarity inside Snowflake.
Microsoft Fabric: OneLake, SQL Server Mirroring for CDC, Fabric Data Factory, Fabric External Sharing, Iceberg shortcuts. Bonus: prior Azure Synapse / ADF / Databricks-on-Azure background. (The rarest and most sought-after of the three — Fabric is the newest platform.)
Ideal Experience
Resident / customer-success solutions architect or engineer from a cloud data platform vendor (Databricks, Snowflake, Microsoft FastTrack / CSU)
Senior data engineer from a health system running on your platform, or from a platform-partner consultancy
Familiarity with EHR data models and the realities of on-prem-to-cloud CDC
Background in consulting, professional services, or data platform implementation in regulated industries (healthcare strongly preferred; fintech a strong adjacent)
Desirable Skills
Ownership: You're the one person on the engagement who deeply knows this platform, and you carry that weight without needing a second set of hands on every decision.
Pragmatism: You know the difference between architecturally ideal and deliverable-in-ten-weeks, and you optimize for the latter without creating technical debt.
Reusability mindset: You build the second engagement's accelerator while delivering the first, because you've felt the cost of bespoke-everything.
Clinical-data literacy: Clarity and Caboodle don't scare you; you understand why health system data is messy and you've untangled it before.
Cross-platform curiosity: Your depth is in one stack, but you're glad to learn the other two so the team can flex across engagements.
Technical Environment
Databricks (primary), Microsoft Fabric, and Snowflake — fully platform-agnostic on acceleration engagements
PySpark and Python with type-safe patterns and modern frameworks
GitHub Actions + Terraform for CI/CD and Infrastructure as Code
Healthcare data formats including FHIR, Epic Clarity / Caboodle, and other EHR schemas
HIPAA / HITRUST-regulated cloud environments on Azure and AWS
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
The work here is unusually high-leverage: every health system you modernize removes the single biggest bottleneck to deploying AI across our entire partner base. You'll be the named platform expert on real, in-flight engagements — not one engineer of fifty, but the person who owns the build.
Our employees are integral to achieving our goals, so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options, and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits
The base pay range for this role is between $180,000 and $230,000. Final offer depends on your skills, qualifications, experience, platform specialization, and location. This role is also eligible for equity, benefits, unlimited PTO.
Recruiting Coordinator - Contract
Transform healthcare with us.
At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.
This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.
Join us in shaping the future of healthcare.
Job Summary
As a Recruiting Coordinator, you will play an essential role on our recruiting team. You will support recruiters as we guide candidates through the stages of the interview process. Specifically, you will own interview scheduling, candidate communications, and recruiting logistics. This role is ideal for someone with attention to detail, sense of urgency, and a positive attitude which will enable you to create an exceptional experience for our candidates and hiring teams. You should be a self-motivated team player with a strong sense of ownership and insatiable curiosity.
What You’ll Do
This role is focused on coordination and operations.
Own and maintain Ashby, our ATS: Keep candidate records, stages, and pipeline data clean and accurate.
Build out new job postings in Ashby, working with the recruiting team to ensure role details, requirements, and configurations are set up correctly.
Partner with the Recruiting Ops Specialist to build and maintain Ashby dashboards and reports, helping the team track hiring metrics.
Support interview scheduling and logistics, helping ensure candidates and interviewers have everything they need.
Audit pipeline data regularly, flagging inconsistencies and ensuring the recruiting team has reliable, up-to-date information.
Key Requirements
2+ years of experience in recruiting coordination, or a related field, or demonstrated transferable skills through prior work experience, projects, or leadership roles.
Prior ATS experience, familiarity with Ashby is a bonus.
Proficiency in Google Workspace: Comfortable working in Gmail, Google Calendar, Sheets, and Docs on a daily basis.
Strong AI skills and experience with AI scheduling tools.
Exceptional attention to detail: You notice when something's off and take pride in keeping things accurate.
Must be able to work independently while coordinating complex scheduling across multiple stakeholders. Self-motivated, highly organized, and able to navigate scheduling processes with minimal guidance.
Strong written and verbal communications skills
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits
The pay range for this position will depend on your qualification and skills. This is a contractor position based in Palo Alto, CA. The role is hybrid, with an expectation of working on-site at least 3 days per week.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application.
Senior DevOps Engineer
Transform healthcare with us.
At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.
This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.
Join us in shaping the future of healthcare.
Job Summary
We're looking for a Senior DevOps Engineer / Site Reliability Engineer to ensure the reliability, performance, and operational excellence of our production environments powering AI solutions for major health systems. You'll partner closely with engineering teams to make services production-ready, own observability and incident response, and drive the practices that keep our platform stable as we scale. As a key member of our infrastructure team, you'll be the connective tissue between development and production, ensuring new features ship safely while maintaining the reliability standards required for healthcare workloads.
Key Responsibilities
Partner with engineering teams to ensure services are production-ready before release, including reviewing deployment patterns, failure modes, resource requirements, and rollback strategies
Design and maintain observability infrastructure including metrics, logging, distributed tracing, and dashboards across multi-cloud environments
Define and manage alerting policies, SLIs/SLOs, and on-call rotations to ensure timely response to production issues
Lead and support incident response for production issues, drive root cause analysis, and coordinate hotfix deployments when needed
Author and maintain release documentation, runbooks, incident postmortems, and operational playbooks
Provide day-to-day operational support to engineering teams, unblocking deployments, debugging production issues, and improving developer experience around shipping to production
Design and maintain zero trust network architectures, ensuring secure connectivity across multi-cloud environments and tenant boundaries
Build and improve CI/CD pipelines and release processes to make production deployments safer, faster, and more predictable
Develop automation in Python and Terraform to reduce toil and codify operational best practices
Manage Kubernetes-based workloads in production, including troubleshooting cluster issues, optimizing resource utilization, and maintaining workload reliability
Operate Temporal workflows in production, including monitoring, scaling, and troubleshooting long-running workflow executions
Collaborate with security and compliance teams to maintain HIPAA and HITRUST controls across production environments
Required Qualifications
6+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering, with at least 3 years directly managing production workloads
Strong proficiency with Terraform including module development, state management, and multi-environment architectures
Deep experience operating production Kubernetes environments, including troubleshooting, networking, workload management, and cluster operations
Hands-on experience with both Google Cloud Platform and Microsoft Azure services
Strong networking and security knowledge, including zero trust architectures, network segmentation, private connectivity, identity-based access controls, and secrets management
Production experience with Temporal or comparable workflow orchestration systems
Strong proficiency in Python for automation, tooling, and operational scripting
Demonstrated experience designing and operating observability stacks including metrics, logging, tracing, and alerting
Experience leading incident response, including on-call rotation management, runbook development, and postmortem processes
Track record of partnering with engineering teams to improve production readiness and release practices
Excellent written communication skills for authoring runbooks, postmortems, and release documentation
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
Desirable Skills
Experience in healthcare industry with understanding of HIPAA compliance requirements
Familiarity with HITRUST or similar compliance frameworks
Experience operating LLM-based systems, agentic workflows, or RAG pipelines in production
Experience with GitOps workflows (Rancher Fleet, ArgoCD, or Flux)
Experience building and operating multi-tenant SaaS infrastructure
Familiarity with chaos engineering and reliability testing practices
Prior experience as a founding or early SRE/Platform hire at a startup
Technical Environment
Our infrastructure is built on modern cloud technologies including:
Google Cloud Platform (primary) and Microsoft Azure
Google Kubernetes Engine (GKE)
Terraform and Terragrunt
Temporal for workflow orchestration
Python, Go, Shell scripting
GitOps-based deployment workflows
Modern monitoring and observability tools
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits: The pay range for this role is between $170,000 and $220,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
Technical Program Manager
Transform healthcare with us.
At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.
This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.
Join us in shaping the future of healthcare.
Job Summary
The Technical Program Manager will oversee multiple projects, bridging product and engineering teams to ensure that the team’s vision and direction translate into seamless execution. This person will work cross-functionally across program design, product development, data, compliance, security, infrastructure, and support teams. Occasional leadership reporting and stakeholder presentations are part of the role. The individual should bring a hands-on approach, the ability to manage project plans, and identify risks while collaborating effectively.
Key Responsibilities:
Program Execution & Coordination:
Orchestrate cross-functional execution across multiple related projects/workstreams.
Develop and maintain program roadmaps, timelines, and dependencies.
Track and report program status, risks, and mitigation strategies.
Manage resource allocation.
Drive operational excellence and process improvements.
Team Coordination & Communication:
Facilitate cross-team collaboration and alignment.
Run program-level meetings and status reviews such as Daily Standups and Sprint Planning.
Create and maintain program documentation.
Resolve cross-team blockers and conflicts.
Risk & Dependency Management:
Identify and track sprint-level risks, dependencies, blockers.
Develop mitigation strategies.
Manage bug identification and resolution across teams.
Resource Management:
Track resource allocation across projects with initiative owners.
Identify resource constraints and conflicts.
Required Qualifications
2–4 years minimum of program or project management experience focused on software engineering
Proven experience as a Technical Program Manager
Proficiency in program management software and tools.
Exceptional communication and leadership skills: written, oral, and presentation.
Ability to work effectively in a fast-paced and dynamic environment.
Collaborative and self-directed; can work independently without constant direction.
Adaptable to dynamic work environments; thrives in mission-driven, team-oriented cultures.
Comfortable with rolling up and drilling down information depending on the audience.
The role involves managing multiple hats in a fast-paced environment, requiring a proactive and solutions-focused individual.
Bachelors Degree in engineering or a related field
Onsite availability in office in Palo Alto (3 days/week)
Desirable Skills
PMP, PgMP, or other relevant certifications.
Experience in the healthcare industry or a related field.
Knowledge of Agile and Scrum methodologies.
Strong problem-solving and conflict resolution skills.
Tools: Notion, Claude, Smartsheets or comparable project management software (open to alternatives).
Knowledge of Agile and Scrum methodologies.
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits: This is a contract to hire position. The pay range for this role is between $75 - $100/hour, and will depend on your skills, qualifications, and experience. When converting to full time this role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
Director, Data Modernization
Transform healthcare with us.
At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change.
This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.
Join us in shaping the future of healthcare.
Job Summary:
The Director of Data Modernization is the technical architect and engineering leader across all of Qualified Health's data modernization engagements. You'll walk into a health system's data environment — which might be anything from a well-maintained EHR reporting database to a tangle of flat files and manual SFTP processes — and design the modern cloud data platform that will replace it.
This is the highest-leverage work on the team. Every health system you modernize from legacy connectivity to a modern data sharing pattern reduces their ongoing integration effort dramatically. You're not just building infrastructure — you're removing the single biggest bottleneck to AI deployment across our entire partner base.
You'll own the technical architecture playbook, make design decisions across concurrent engagements, lead a team of data engineers and cloud/infrastructure engineers, review all engineering output, and personally drive the most complex builds. The Engagement Manager handles the partner relationship and project management — you handle the engineering. Together, you run the engagement.
Key Responsibilities:
Own the technical architecture for modernization engagements: Azure Databricks design, data landing zones, networking, security controls
Lead and develop a team of data engineers and cloud/infrastructure engineers
Lead technical discovery and source data assessments for new engagements
Review and approve all engineering deliverables across concurrent engagements
Personally drive architecture and build for the most complex engagements
Set engineering quality standards and drive architectural decisions across the modernization practice
Maintain and evolve the technical engagement playbook
Ensure environments meet handoff criteria for the Client Integration team
Collaborate with Data Mapping Analysts on source data assessment and validation
This role requires travel to healthcare client sites for engagement kickoffs, technical discovery sessions, and key milestones. Candidates should be prepared for 15-25% travel, depending on active engagements.
Required Qualifications:
Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred.
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Required Experience:
6+ years in data engineering or data platform roles, with demonstrated technical leadership
Deep Azure expertise: Databricks, ADLS2, Azure networking, managed identities, Terraform/Bicep
Experience with data platform design and deployment (greenfield builds)
Client-facing experience — comfortable leading technical conversations with health system IT teams
Preferred Skills:
Familiarity with EHR data sources and clinical data models (Epic Clarity/Caboodle preferred)
Experience with data sharing protocols (Delta Share, Fabric External Sharing, or similar)
Background in consulting, professional services, or data platform implementation
Experience designing data architectures for HIPAA-regulated environments
Track record of managing technical quality across concurrent engagements
Architectural Judgment: You can walk into an unfamiliar data environment, assess what exists, identify what's missing, and design a target state architecture that is both technically sound and achievable within a time-boxed engagement
Hands-On Leadership: You lead by example — reviewing code, pairing with engineers on tough problems, and shipping your own work alongside the team
Pragmatism: You know the difference between "architecturally ideal" and "what we can actually deliver in the engagement window" — and you optimize for the latter without creating technical debt
Client Presence: You're comfortable in a room with a health system CIO or VP of IT, explaining technical decisions in business terms
Documentation: You maintain engagement playbooks and architecture patterns so the next engagement benefits from what you learned in the last one
Technical Environment:
Our data infrastructure is built on modern cloud technologies including:
Azure Databricks + Data Factory (plus Fabric and Snowflake integrations)
PySpark for distributed data processing
GitHub Actions + Terraform for CI/CD and Infrastructure as Code
Python with type-safe patterns and modern frameworks
Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits: The pay range for this role is between $165,000 and $200,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
Staff / Principal Forward-Deployed Architect, Data Modernization
Transform healthcare with us.
At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change.
This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.
Join us in shaping the future of healthcare.
Job Summary
The Staff / Principal Forward-Deployed Architect is the senior-most technologist in our Data Modernization Services function — and the single named architect across every engagement we run. You own the reference architecture that defines how we land an EHR-anchored, AI-ready data foundation on Databricks, Snowflake, and Microsoft Fabric, and you stay close enough to the work to ship code yourself when an engagement calls for it.
The work is unusually high-leverage. Every health system we modernize — from legacy reporting databases and SFTP-driven feeds to a modern lakehouse with Delta Sharing, Reader Accounts, or Fabric External Sharing — collapses the path from "data exists somewhere" to "agentic AI workflows can safely run against it." You're the person who decides what that target state looks like, defends those choices in front of a customer CTO, and then leads the team that builds it on a 10-week greenfield clock.
You'll lead a tight bench of platform-specialist Senior Data Engineers (one each on Databricks, Snowflake, and Fabric) plus a Cloud/Platform Engineer. You're the public face of the practice in pre-sales discovery — and during active delivery, you're the engagement-embedded tech lead. Strong opinions, loosely held. Equally comfortable in a CTO conversation and a Terraform repo.
This posting spans both Staff and Principal levels; the offer level is calibrated to depth of experience and breadth of demonstrated technical leadership.
Key Responsibilities
Own the cross-platform reference architecture for the Modern Data Platform across Databricks, Snowflake, and Fabric — and evolve it as platforms and partners change
Serve as the engagement-embedded tech lead on the active engagement: architecture, design reviews, and hands-on build on the hardest parts
Lead technical discovery with prospective health system partners — assess source environments (Epic Clarity/Caboodle, Cogito on Cloud, Bulk FHIR, flat-file SFTP) and design a defensible target state
Lead and develop a team of platform-specialist Senior Data Engineers and a Cloud/Platform Engineer; set the technical bar
Review and approve all engineering deliverables — IaC, ingestion patterns, data sharing topology, security controls
Partner with the Engagement Manager and Field CDO to scope SOWs, defend timelines, and surface technical risk before it becomes schedule risk
Coordinate technical handoffs to the QH Platform team via Delta Sharing / Reader Account so AI workflows can be deployed against the modernized foundation
Maintain the technical engagement playbook and a library of accelerators so each engagement starts further along than the last
Carry the technical narrative in pre-sales: present to CTOs, CDOs, and enterprise architects; convert technical credibility into signed work
Required Qualifications
Education: Bachelor's degree in Computer Science, Engineering, or a related field. Master's preferred.
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Required Experience:
10+ years in data engineering, data platform architecture, or solutions architecture roles, with demonstrated technical leadership of multi-person teams
Hands-on production experience across at least two of Databricks, Snowflake, and Microsoft Fabric — and the technical curiosity and pattern-recognition to credibly own the third
Three or more enterprise lakehouse / cloud data platform implementations delivered in regulated industries
Deep cloud fluency, with Azure as the most common engagement substrate: networking, identity, key management, IaC (Terraform or Bicep), and observability
Client-facing experience leading executive technical conversations — comfortable in a room with a health system CTO, CDO, or CISO
Ideal Experience
Healthcare data fluency: Epic Clarity / Caboodle, Cogito on Cloud, Bulk FHIR, HL7, claims data, and the realities of on-prem-to-cloud CDC
Direct experience with modern data sharing patterns: Delta Sharing, Snowflake Reader Accounts, Fabric External Sharing, Iceberg shortcuts
HIPAA / HITRUST-regulated environments; opinions on PHI segmentation, BAA scope, and audit posture
Background in a Databricks / Snowflake / Microsoft Fabric professional services or field engineering org, a healthcare-focused consultancy, or a large IDN data platform team
Track record of architecting under a time-boxed engagement (e.g., 8–10 week greenfield delivery) rather than open-ended programs
Desirable Skills
Multi-Platform Judgment: You don't get religious about Databricks vs Snowflake vs Fabric. You can articulate when each is the right call for a given customer's data gravity, existing investments, and roadmap — and design accordingly
Architect Who Still Builds: You lead by example. You review IaC and PySpark, you pair on the hardest design problems, and you'll personally drive the build on the gnarliest part of an engagement instead of throwing it over the wall
Pragmatism: You know the difference between the architecturally ideal target and what a 10-week engagement can realistically land — and you optimize for delivered value without quietly accumulating technical debt
Pre-Sales Presence: You can walk into a discovery session cold, ask the right five questions, and leave with a credible architectural sketch. You convert technical depth into customer confidence
Strong Opinions, Loosely Held: You bring a point of view to every architecture review, defend it well, and update it cleanly when the customer environment or new information argues against you
Documentation Discipline: You treat the playbook as a product. Every engagement leaves behind patterns, accelerators, and decisions the next engagement inherits
Travel Requirements
This role requires travel to healthcare client sites for engagement kickoffs, technical discovery sessions, on-site working weeks, and key milestones. Candidates should be prepared for 25–35% travel, depending on active engagements and pre-sales pipeline.
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
This role specifically is one of the highest-leverage technical seats in the company. You're not maintaining one platform — you're defining how an entire generation of health systems gets onto a modern, AI-ready data foundation. Every engagement you architect compounds across our partner base.
Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits
The pay range for this role is between $190,000 and $250,000, and will depend on your skills, qualifications, and experience. This role is also eligible for equity and benefits.
The full posting opens here — pay, setting and the full description, without leaving the list.