Job Description:The Technical Product Owner will partner with product managers and engineering leads in delivering complex, AI-enabled and agent-based capabilities for our healthcare platform. This role emphasizes technical fluency, systems thinking, and execution oversight. The Technical Product Owner will ensure engineering teams have well-scoped, technically sound requirements and that delivery aligns with architecture, compliance, and operational standards.
- Translate product requirements into technical specifications, workflows, and integration patterns.
- Partner with architects and engineers to design API strategies, orchestration flows, and data models.
- Own the technical backlog, ensuring stories include acceptance criteria and validation methods.
- Drive adoption of AI/agentic frameworks (e.g., LangChain, LangGraph) and guide technical feasibility analysis.
- Support release readiness by validating architecture, compliance, and deployment requirements.
- Collaborate with DevOps/MLOps to ensure CI/CD and monitoring standards are in place.
- Support AI readiness by aligning solutions with industry standards (FHIR, HL7) and providing input on analytics and data governance for clinical and practice management workflows.
- Act as the technical voice in cross-functional planning, ensuring scalability, security, and compliance are addressed early.
- Perform other duties that support the overall objective of the position.
Education Required:- Bachelor's Degree in Engineering, Computer Science, Information Systems, Business, or related discipline.
- Or, any combination of education and experience which would provide the required qualifications for the position.
Experience Required:- 8+ years in technical program management, solution engineering, or product/engineering hybrid roles.
- Experience in hybrid engineering/product roles in the healthcare domain.
- Strong background in software or data engineering (Python, Node.js, .NET) with experience in UI development and API integration.
- Demonstrated experience with healthcare analytics, EHR data flows, and AI-driven applications.
- Experience working with cloud environments (AWS, Azure, or GCP) and infrastructure-as-code.
- Exposure to GenAI applications in healthcare (e.g., ambient clinical documentation, coding automation, patient engagement).
- Experience in clinical informatics, practice management systems, or EHR platforms is preferred.
- Or, any combination of education and experience which would provide the required equivalent qualifications for the position.
Knowledge, Skills & Abilities:- Knowledge of: Familiarity with AI/ML integration, agentic orchestration frameworks (LangChain, LangGraph), and modern API design. Healthcare domain knowledge (FHIR, HL7, HIPAA compliance) is a plus.
- Skill in: Strong interpersonal and communication skills, with the ability to interface effectively with engineers, clinicians, and clients. Collaboration skills.
- Ability to: Proven ability to write clear technical documentation, specifications, and workflows.
