Product Owner

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. 

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