Product Owner

Ranger Technical Resources, Inc.; California (MO); On-site; USD 110,000 - 150,000; Full time

Job summary

Ranger Technical Resources, Inc. partners with a national healthcare organization to expand conversational AI across scheduling and call center interactions. We seek a hands-on Product Owner who can independently uncover problems, analyze conversations and data, and decide what to build next.

This role requires translating complex conversations into clear workflows, owning discovery through production, and measuring impact after launch.

Qualifications

• A degree or equivalent professional experience in CS/IT/business.
• 5+ years in Product Management, Product Ownership, or digital products.
• Experience identifying opportunities and prioritizing roadmaps.
• Experience analyzing customer behavior or product performance to find improvements.
• Ability to translate conversations or processes into workflows and requirements.
• Hands-on experience from discovery to production launch and iteration.
• Experience partnering with Engineering on feasibility and tradeoffs.
• Familiarity with conversational AI, voice tech, healthcare, or complex customer-facing environments.

Responsibilities

• Own product direction and ongoing improvement for patient-facing AI and call-center workflows.
• Analyze conversation patterns, call performance, patient behavior, and metrics to find improvements.
• Investigate why AI conversations fail and where friction occurs.
• Review representative conversations to understand patient experience behind data.
• Identify and prioritize new workflows based on patient need, value, volume, and effort.
• Learn operational processes by partnering with call-center specialists and business teams.
• Translate conversations into clear workflows, decision paths, and handoffs.
• Challenge and simplify requirements to reduce unnecessary complexity.
• Define expected product behavior, requirements, acceptance criteria, and outcomes.
• Partner with Engineering to evaluate feasibility and delivery approaches.
• Coordinate testing, UAT, readiness, routing changes, and launches.
• Monitor post-release performance and prioritize improvements with data.

Skills

Product Ownership

Product Discovery

Conversational AI

Voice AI

Workflow Design

Conversation Design

Product Analytics

Call Analytics

Customer Journey Mapping

Requirements Definition

Business Process Optimization

Contact Center Operations

AI-Assisted Analysis

Stakeholder Management

User Acceptance Testing

Software Development Lifecycle

CI/CD

Education

Bachelor's degree in Computer Science, Information Technology, Business, or a related field, or equivalent professional experience

Job description

Our partner is a nationally recognized healthcare organization expanding the use of conversational AI to support patients across scheduling and call center interactions. Existing voice AI capabilities are already helping patients complete healthcare tasks, and the next stage is focused on improving those experiences while identifying where AI can meaningfully support additional workflows.

They are looking for a hands‑on Product Owner who can independently uncover problems, analyze conversation and operational data, and determine what should be improved or built next. You will investigate why conversations fail, why patients transfer to human agents, and where simpler workflows could improve the patient experience while balancing customer need, business value, call volume, complexity, and engineering effort.

This role is ideal for a curious product thinker who challenges unnecessary requirements, translates complex conversations and business processes into clear workflows, and stays involved from discovery through production and post‑launch measurement. Success means owning what should be built, why it matters, and whether it actually improved the experience.

Experience and Education:

• Bachelor's degree in Computer Science, Information Technology, Business, or a related field, or equivalent professional experience
• 5+ years of experience in Product Management, Product Ownership, digital products, or technical product delivery
• Proven experience independently identifying product opportunities and making prioritization or roadmap decisions
• Experience analyzing customer behavior, product performance, or operational data to identify problems and improvement opportunities
• Strong experience translating complex customer conversations or business processes into workflows, decision paths, exceptions, and requirements
• Hands‑on experience taking customer‑facing capabilities through requirements, testing, production launch, measurement, and continuous improvement
• Experience partnering closely with Engineering to evaluate feasibility, dependencies, technical tradeoffs, and delivery options
• Familiarity with conversational AI, voice technology, contact centers, healthcare, or similarly complex customer‑facing environments is highly valuable

Skills and Strengths:

• Product Ownership
• Product Discovery
• Conversational AI
• Voice AI
• Workflow Design
• Conversation Design
• Product Analytics
• Call Analytics
• Customer Journey Mapping
• Requirements Definition
• Business Process Optimization
• Contact Center Operations
• AI-Assisted Analysis
• Stakeholder Management
• User Acceptance Testing
• Software Development Lifecycle
• CI/CD

Primary Job Responsibilities:

• Own product direction and continuous improvement for patient‑facing conversational AI and call center workflows
• Analyze conversation patterns, call performance, patient behavior, containment, transfers, abandonment, and other product metrics to identify improvement opportunities
• Investigate why AI conversations fail or create friction and determine the underlying customer, workflow, or product issue
• Review representative conversations to validate patterns and understand the patient experience behind the data
• Identify and prioritize new workflows based on patient need, business value, call volume, complexity, and engineering effort
• Learn existing operational processes by partnering directly with call center specialists and business teams
• Translate complex conversations and business processes into clear workflows, decision paths, exceptions, and human handoffs
• Challenge and simplify requirements that introduce unnecessary complexity or customer friction
• Define expected product behavior, requirements, acceptance criteria, and measurable outcomes
• Partner with Engineering to evaluate feasibility, dependencies, technical tradeoffs, and delivery approaches
• Coordinate testing, user acceptance, operational readiness, call routing changes, and production launches
• Monitor performance after release and use product data, operational results, and customer behavior to prioritize improvements
• Use AI-assisted analysis to accelerate conversation review, pattern identification, and product decision-making
• Communicate product findings, priorities, decisions, and results clearly to technical and business stakeholders