Technical Product Manager

JOB SUMMARY

Guidehealth is on a mission to make healthcare affordable for everyone, and Rose, our in-house conversational Automation tools, plays a key role in making sure that everyone who needs access to healthcare can get the attention they need. As Product Manager, you would own the end-to-end lifecycle for Rose, with use cases that range from care management to quality improvement outreach to customer service. Your history of bringing order to complexity, and your willingness to be accountable for outcomes when the path isn't obvious, will help Rose deliver on a simple promise: that every patient is seen, heard, and followed up with. In this role, you sit at the intersection of clinical operations, product development, data science, and software engineering, with the objective of scaling Rose’s capabilities across the organization.

WHAT YOU’LL BE DOING:

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.

WHAT YOU'LL NEED TO HAVE:

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.

WOULD LOVE FOR YOU TO HAVE:

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.

ATTRIBUTES FOR SUCCESS:

Strategic Thinking: Ability to see the big picture while managing day-to-day execution details.

Clinical Empathy: Deep appreciation for patient experience and clinical team workflows.

Analytical Rigor : Comfort with data, metrics, and evidence-based decision-making.

Influence Without Authority : Skilled at aligning diverse stakeholders around shared goals.

Adaptability : Thrives in a fast-paced environment where priorities can shift quickly.

Execution Orientation : Relentless focus on delivering outcomes, not just activities.

The salary range for this role is $145,000.00 to $150,000.00

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