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Product Owner

Stellus Rx LLCDallas, Texas🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

Leverage AI to drive innovation and shape the future of personalized health support as a Product Owner at Stellus Rx, a rapidly growing, purpose-driven organization. This hybrid role offers significant career growth and skill development opportunities for a product professional eager to make a tangible impact in transforming the healthcare industry. Apply now to join a committed team dedicated to improving lives and unlocking better health outcomes for millions.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Dallas, Texas, United States
AgileNotion

Job Description

Job Summary

We're opening eyes, hearts, and minds to the impact that a pharmacy team can have in changing lives. Stellus Rx improves ease and outcomes in every moment that matters, along every health journey. Join our group of talented, committed team members - pharmacists, pharmacy care coordinators, technologists, product strategists, and more - to create and expand the delivery of personalized health support that people didn't even know could be possible.

The Product Owner for Stellus Rx will be a valued member of our Product Team, partnering with Stellus Rx leaders and cross-functional teams to help unlock the health of millions of Americans. We are a culture that is unabashedly driven by purpose - making a difference to patients and team members while growing at an accelerated rate. If you love serving others and would like to make a material difference in an industry-transforming organization, we invite you to apply.

This role is designed for a product professional who actively uses AI to sharpen discovery, support delivery, and generate insights - using smarter, faster approaches to research, reporting, and backlog management that raise the quality bar across every initiative.

Role and Responsibilities

AI-Supported Product Planning & Backlog Ownership

  • Own the product backlog for an assigned product area or initiative; use AI tools to help analyze market signals, synthesize stakeholder input, and identify opportunities faster than manual research allows.
  • Translate product strategy into actionable backlog items aligned to team OKRs and sprint goals - leveraging AI to model prioritization options and surface trade-offs.
  • Support cost-benefit and impact analysis to guide prioritization; use AI-assisted tools to speed up business case development.
  • Communicate backlog priorities and roadmap updates to the team and stakeholders, using AI-generated summaries to communicate clearly and efficiently.

AI-Powered Discovery & User Research

  • Support discovery efforts including stakeholder interviews, journey mapping, and workflow analysis - using AI tools to help synthesize research and surface patterns from user and clinical feedback.
  • Use AI to analyze product feedback, support data, and usage patterns to help inform and reprioritize the backlog with evidence rather than assumption.
  • Help maintain the product's feedback collection mechanism; use AI to process and categorize customer feedback and convert it into actionable backlog items.

AI-Assisted Backlog Management & Story Writing

  • Write, refine, and quality-check user stories with AI tool support - ensuring consistent inclusion of acceptance criteria, non-happy path scenarios, edge cases, and dependencies.
  • Apply AI to support backlog refinement, sprint planning preparation, and release readiness documentation - reducing manual overhead while improving story quality and team clarity.
  • Follow best practices in backlog refinement, story writing, and release readiness as modeled by senior product team members.
  • Actively participate in Agile ceremonies, including refinements, sprint planning, and sprint demos.

Data, KPIs & AI-Enhanced Reporting

  • Help define KPIs and success metrics for initiatives; specify event tracking requirements (e.g., Heap instrumentation) for key user behaviors.
  • Partner with Data teams on dashboards and post-release impact reporting - using AI to help accelerate dashboard design and summarize outcomes.
  • Use AI-assisted analytics to help monitor initiative performance and flag early signals of underperformance to the team.
  • Communicate initiative performance and roadmap updates to stakeholders; use AI tools to prepare concise, high-quality reporting.

Stakeholder Partnership & Risk Support

  • Act as a product partner to clinical, operational, and technical stakeholders; support prioritization through AI-informed analysis and data-driven input.
  • Partner with Engineering on system-level design decisions and technical trade-offs; use AI to help evaluate alternative approaches.
  • Help define and communicate release readiness criteria including UAT, operational readiness, and compliance checks.
  • Help identify and escalate product and operational risks, using AI-assisted tools where helpful for scenario planning.

Qualifications and Requirements

  • 2+ years of Product Owner or Product Management experience.
  • Experience owning a backlog or workstream within a larger product domain or initiative.
  • Experience in Agile environments; Scaled Agile exposure a plus.
  • Required: Demonstrated, hands-on experience using AI tools to support product discovery, backlog management, reporting, or stakeholder communication - with specific examples you can speak to.
  • Familiarity with analytics frameworks and KPI measurement.
  • Exposure to ROI analyses and business case development.
  • Ability to build effective working relationships with stakeholders across teams.
  • Strong written and verbal communication skills.
  • Healthcare, pharmacy, or Medicare Advantage experience preferred.

Preferred Experience

  • Experience using AI tools for qualitative research synthesis, user story generation, or product analytics (e.g., Claude, ChatGPT, Notion AI, or similar).
  • Familiarity with AI-powered product analytics platforms (e.g., Heap, Amplitude, or similar with AI features).
  • Exposure to prompt engineering in a product management or research context.
  • Familiarity with FHIR/HL7 or pharmacy data standards.
  • Bachelor's degree or equivalent experience.

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