Director of Product

One to One Health•Chattanooga, TN

About The Position

We are seeking a Director of Product (Technical) to own the end-to-end delivery of our telehealth platform (“TextCare”). This role is a hands-on product and program leader responsible for translating product ideas into clearly scoped requirements, validating technical solutions, and driving software delivery into production. This role goes beyond product vision. You will act as the primary execution owner for major product initiatives—managing scope, dependencies, and delivery as clinical, operational, and business needs are converted into compliant, scalable software. You will work deeply with Engineering, Clinical, Operations, Compliance, and Sales to ensure solutions are feasible, well-designed, and delivered with rigor in a regulated healthcare environment.

Requirements

8+ years of product management experience, ideally in digital health or regulated software environments
Demonstrated success owning the delivery of complex, technical software products
Strong ability to scope requirements, validate solutions, and drive execution with engineering teams
Comfortable operating as a technical product manager and program owner, not just a roadmap owner
Experience evaluating and integrating third-party platforms or AI-enabled services into custom software
Excellent communication, prioritization, and decision-making skills in ambiguous environments

Responsibilities

Define and maintain the product roadmap aligned with company strategy, operational realities, and technical constraints
Identify and prioritize improvements to patient experience, provider workflows, and internal operations
Use data, stakeholder input, and system-level understanding to guide tradeoffs and sequencing
Own the full product delivery lifecycle, from discovery and requirements definition through build, launch, and iteration
Act as the program manager for complex initiatives, coordinating scope, timelines, dependencies, and cross-team execution
Translate clinical, regulatory, and operational needs into clear product requirements, user stories, and acceptance criteria
Partner closely with Engineering to:
Validate solution approaches and technical designs
Ensure requirements are buildable, testable, and appropriately scoped
Drive high-quality, on-time delivery
Proactively manage delivery risks, scope creep, and technical tradeoffs
Serve as the primary interface between business stakeholders and Engineering
Break complex initiatives into epics and features with clear ownership, sequencing, and outcomes
Review and validate proposed technical solutions to ensure alignment with product intent, platform strategy, and long-term maintainability
Ensure that build decisions support scalability, compliance, and operational supportability
Partner closely with Clinical, Operations, Compliance, Engineering, and Sales
Ensure products meet regulatory, privacy, and licensure requirements (e.g., HIPAA, prescribing constraints, state rules)
Support internal enablement and sales-facing readiness for new product capabilities
Define and track product success metrics (adoption, utilization, operational efficiency, clinical outcomes)
Use analytics and real-world feedback to validate assumptions and guide iteration
Incorporate learnings from production use into ongoing enhancements
Evaluate where and how AI capabilities should be embedded within products, based on operational needs, technical feasibility, and measurable value—not novelty
Partner with the Principal AI Engineer to:
Assess build vs. buy decisions for AI capabilities
Select appropriate AI vendors, models, and services when licensing is preferable
Define integration approaches that align with existing architecture and workflows
Translate AI opportunities into concrete product requirements and deliverable features
Ensure AI-enabled functionality is:
Appropriately scoped and embedded within workflows
Aligned with clinical, operational, and compliance requirements
Measurable in terms of accuracy, reliability, and workflow impact
Help determine which capabilities should live in custom software versus third-party tools, ensuring focus on the highest-impact use cases