Technical Product Manager

Guidehealth is a data-powered, performance-driven healthcare company dedicated to operational excellence. As a Technical Product Manager, you will partner with clinical operations teams to identify and prioritize use cases, manage project plans, and ensure compliance with healthcare regulations while driving product adoption across the organization.

Responsibilities:

• Partner with clinical operations teams (Care Management, Quality, Population Health, Customer Service) to identify, prioritize, and collect requirements for Rose’s use cases
• Maintain and prioritize use cases, features, and enhancement requests, balancing clinical impact, technical feasibility, and organizational readiness
• Own the project plan for Rose use cases from requirements through deployment, including timelines, milestones, dependencies, and risk mitigation
• Ensure timely and clear communication of priorities and activities to leadership and cross-functional partners
• Analyze performance data to identify trends, surface improvement opportunities, and inform the roadmap
• Conduct regular call audits to ensure clinical accuracy, HIPAA compliance, appropriate tone, and adherence to approved scripts and conversation flows in partnership with clinical subject matter experts
• Ensure all use cases comply with applicable healthcare regulations, including HIPAA, CMS, URAC, DiME, and state-specific requirements
• Facilitate regular program reviews with senior leadership, providing status updates, risk assessments, and strategic recommendations
• Build strong relationships across the organization to drive adoption and gather continuous feedback

Requirements:

• Demonstrated ability to prioritize competing initiatives, manage ambiguity, and deliver measurable outcomes in a complex, cross-functional environment
• Experience standing up a complex product, shepherding it from development to implementation, and maintaining product integrity through its lifecycle
• Strong analytical skills, with the ability to interpret performance data and translate insights into roadmap decisions
• Proficient with coding languages like Python and SQL, with the ability to query data, review scripts, and collaborate effectively with data and engineering teams
• Proven ability to execute in real time when plans go sideways: calm under pressure, quick to adjust, and accountable for outcomes regardless of cause
• Excellent written and verbal communication skills, including the ability to present trade-offs, risks, and recommendations to senior leadership
• Bachelor's degree in a relevant field, or equivalent professional experience
• Background that demonstrates iteration as a discipline: refining the same work over multiple cycles (seasons, cohorts, program years, product releases) and treating repetition as a tool for improvement
• History of applying the qualifications from the previous section in a clinical setting
• Experience building, deploying, or managing conversational AI, voice AI, or LLM-powered products, ideally in a regulated industry
• Familiarity with AWS-based development tools and Atlassian-based (Jira and Confluence) productivity tools
• Working knowledge of healthcare regulations and frameworks, including HIPAA, CMS, and state-level compliance requirements
• Experience in environments where decisions must be documented and defensible to outside scrutiny: audits, accreditation reviews, peer review, oversight bodies, or board-level reporting
• Strong understanding of healthcare operations, particularly in areas like care management, quality measurement (HEDIS/Stars), or call center operations
• Background working closely with data science and ML engineering teams on model performance, evaluation, and iteration
• Experience with agile delivery frameworks in a healthcare setting