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InterSystems

High-performance data platform for multiple industries

Senior Technical Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeBoston, MA, USA$143k - $186kIn-person

About the Job

Requirements

  • Seven or more years of technical product management experience in healthcare IT, primarily focused on interoperability or integration engines.
  • Working-level expertise in healthcare interoperability standards: HL7 V2.x, FHIR R4, CDA/C-CDA, SMART on FHIR, OAuth 2.0 flows, scopes, launch contexts, and X12 EDI, sufficient to review architecture designs and validate conformance.
  • Demonstrable experience with healthcare data transformations, such as HL7 V2 to FHIR or CDA to FHIR.
  • Experience working with EHR/EMR systems such as Epic, Oracle Health, or Meditech; health information exchanges; and TEFCA or QHIN data exchange workflows.
  • Hands-on familiarity with at least one enterprise integration engine, such as InterSystems Health Connect/Ensemble, Rhapsody, Mirth Connect, or equivalent, including the ability to read routing logic and transformation configurations.
  • Demonstrated ability to drive product strategy and manage cross-functional delivery teams.
  • Bachelor’s degree in computer science, engineering, health informatics, or a related field.
  • Programming experience in Python, Java, or a similar language sufficient to prototype FHIR API calls, inspect JSON/XML payloads, and participate as a technical peer in design reviews.

Responsibilities

  • Define and drive the multi-year product roadmap for the healthcare interoperability engine and platforms from discovery through general availability, aligned with company strategy and regulatory timelines.
  • Translate healthcare interoperability standards and regulatory requirements, including TEFCA, Da Vinci implementation guides, CMS prior authorization, and HTI-2, into prioritized product features with clear delivery milestones.
  • Run structured customer discovery with enterprise accounts, including integrated delivery networks, health information exchanges, payers, and life sciences organizations, to validate product direction and identify unmet needs.
  • Lead competitive analysis and translate findings into differentiated positioning and roadmap decisions.
  • Define the strategy for AI-native interoperability.
  • Manage and prioritize the product backlog using structured frameworks with explicit assumptions; author product requirements documents and acceptance criteria that engineering teams can act on independently.
  • Represent the product as its external technical voice by presenting the roadmap to enterprise customers, engaging with HIMSS and HL7 working groups, and supporting sales as a subject matter expert.
  • Collaborate with sales, marketing, customer success, and support to align go-to-market strategy, product positioning, and customer escalation paths.
  • Define and track product key performance indicators across the interoperability portfolio; synthesize customer feedback, support signals, and adoption data into continuous roadmap refinement.

Desired Qualifications

  • An advanced degree, such as an MS, MPH, or MBA.
  • Participation in HL7 working groups, Da Vinci project calls, ONC FAST, or HIMSS interoperability initiatives.
  • Experience with ONC Health IT certification, including HTI-1 or USCDI v3.

About the Company

InterSystems

High-performance data platform for multiple industries

InterSystems provides high-performance data platforms and industry-specific solutions for sectors such as healthcare, finance, and supply chain. Its main products are the IRIS Data Platform, HealthShare, and TotalView for Asset Management; IRIS handles large data volumes for mission-critical applications, HealthShare enables secure sharing and analysis of patient data across systems, and TotalView helps optimize asset performance. It earns revenue from software licenses, cloud subscriptions, and professional services, including training and certification. Its goal is to help customers make faster, better decisions by deploying scalable data platforms with AI-enabled capabilities while ensuring automation augments human decision-making and prioritizes customer success.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Cambridge, MA
Founded
1978

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