Implementation Project Manager

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology.

Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health's diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here's a collection of articles about our product, mission, recent funding round, etc.

We're hiring our first Implementation Project Manager to help lead complex integrations for our new customers (hospitals / health systems). You will be surrounded by an already existing team of Solutions Engineers, EHR Integration Engineers, Customer Success Managers and Product Managers and you'll help build our onboarding process for customers, from kickoff to post-launch support and everything in between.
Job Description

What you'll do

• Own health-system implementations as a project manager - oversee onboarding for new customers from kickoff and discovery through go-live and post-launch support. .
• Translate product and customer needs into actionable implementation plans with clear technical requirements and timelines.
• Work closely with EHR Integration Specialists to coordinate complex data integrations between customer systems and Layer Health.
• Partner with hospital IT teams on governance, security reviews, data access, and infrastructure planning.
• Support health-data strategy - help define how EHR data is ingested, normalized, transformed, and validated.
• Maintain data quality and reliability through integration testing, schema checks, and data-drift monitoring.
• Collaborate cross-functionally with Product, Engineering/ML, Clinical, and Customer Success to ensure successful and seamless implementations.
• Document and continuously improve the implementation playbook and processes to make onboarding faster and more scalable.

What we look for

• 3-5 years of experience in health-data integration, implementation, or interoperability, ideally within a healthcare technology company.
• Proven ability to manage multiple complex projects across technical and non-technical stakeholders.
• Strong familiarity with EHR systems (Epic, Cerner, Meditech, etc.) and healthcare data standards (FHIR, HL7, CCD, C-CDA).
• Understanding of data governance, privacy, and security frameworks (HIPAA, SOC 2, etc.).
• Proven ability to manage multiple complex projects across technical and non-technical stakeholders.
• Excellent communicator who can bridge technical, clinical, and operational audiences.
• Comfortable working in a fast-paced, early-stage environment-hands-on, adaptable, and energized by building new processes.
• Experience with project management tools (Asana, Jira, Smartsheet, etc.) and structured delivery frameworks.

Nice to have

• Previous experience working for a startup during a major growth inflection point
• Experience supporting AI/ML-driven healthcare products or data-heavy integrations.
• Familiarity with cloud or SaaS infrastructure environments.

Expected compensation range for this role is $,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo.

Layer Health is committed to fostering an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.