Product Manager

InterSystems HealthShare seeks strong product leaders to help create the next generation of solutions to highly important health and healthcare issues.

InterSystems HealthShare is the premier health interoperability and innovation platform, providing unique solutions for today’s widely distributed healthcare in which a single patient may connect to many providers at many locations using many different information systems. We combine and unify data from thousands of sources including all major electronic health records, social determinants, claims processors, public health, IoT devices, patient self-care and outcomes measures, and many more onto a flexible and powerful data platform. We transform, summarize, analyze, and communicate that information in many ways to address key clinical, strategic and operational problems. HealthShare provides a wide variety of clinical and operational solutions to a rapidly growing list of customers in the US and internationally, including providers, public health systems, state and national health organizations, health information exchanges, and development partners.

The HealthShare team is looking for an experienced Product Manager to define and drive the strategy for artificial intelligence across the HealthShare product suite. As a member of our team, this position will own the AI vision and roadmap for the platform — identifying where generative AI, machine learning, and intelligent automation can deliver the greatest value across our clinical and operational solutions, and working with product, engineering, and go-to-market teams to bring those capabilities to our customers safely and responsibly. The product manager will combine portfolio-level strategy with hands-on product ownership, including backlog management and close collaboration with development teams.

• →Define and champion the AI strategy and roadmap for the HealthShare product suite, ensuring a coherent approach to AI capabilities across products and solutions
• →Identify, evaluate, and prioritize opportunities to apply generative AI, machine learning, and intelligent automation to clinical, strategic, and operational problems faced by our customers
• →Act as product owner for AI-related development work, managing the backlog and working with software development, implementation, testing, support and sales to bring new AI features and products to successful release
• →Communicate with current and potential customers on a regular basis to understand their processes, needs, and appetite for AI-enabled workflows — translating these into product requirements and helping customers realize value from AI capabilities
• →Represent the “voice of the customer” internally in guiding the design of AI features, with particular attention to clinical safety, trust, transparency, and usability
• →Collaborate with colleagues across the Product Management team to ensure AI capabilities integrate cohesively with the broader HealthShare product strategy and roadmap
• →Serve as an internal subject matter expert on AI in healthcare, including large language models, retrieval techniques, model evaluation, and responsible AI practices
• →Understand and advise internal and external audiences on relevant industry and regulatory trends affecting AI in healthcare, including evolving frameworks such as the EU AI Act and related guidance
• →Establish and monitor measures of AI feature quality, safety, adoption, and impact, and participate in studies of the impact of HealthShare AI solutions on quality, safety, and efficiency
• →Participate in the professional community, including attendance at national and international conferences

• 5-10 years of product management experience, including demonstrated experience delivering AI or machine learning-enabled products
• Experience defining product strategy across a portfolio or platform, in industry or with a healthcare organization
• Demonstrated success in helping envision, design and bring products to completion
• Experience working with customers or stakeholders to understand and refine product needs at all stages of product development
• Working knowledge of modern AI technologies and practices, such as large language models, prompt engineering, retrieval-augmented generation, model evaluation, and MLOps
• Experience with healthcare operations, information technology applications, data integration and interoperability, and analytics
• Familiarity with the considerations involved in deploying AI in regulated, safety-critical healthcare environments, including data privacy, governance, and auditability
• Excellent written and verbal communication skills
• Experience presenting to both technical and business-oriented audiences
• Ability to work successfully in both team and individual settings, with limited supervision
• Experience with one or more of the following healthcare standards/technologies is an advantage: HL7 V2, CDA, FHIR, X12, IHE XDS, XCA, XDR, OMOP, OpenEHR

• BS in health, technical, or business area or comparable experience required

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information).  InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.

Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience.  AI tools and third-party transcription services must not be used during interviews or assessments.