INMYTEAM CORP Tecnical Product Owner Miramar, FL · Full time Company website

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INMYTEAM CORP is a fast-growing software company serving the Home Health Care industry. Our platform helps agencies streamline operations, billing, and compliance so they can focus on delivering quality care. We pride ourselves on strong client relationships, high-quality onboarding, and long-term customer success.

INMYTEAM is looking for a highly organized, AI-enabled Technical Product Owner to help manage our product development process, organize the backlog, own sprint execution, and turn business needs into clear, actionable development requirements.

This person will work closely with leadership, engineering, design, QA, and internal stakeholders to make sure the development team is always working on the right priorities with clear requirements. The ideal candidate is comfortable using AI tools to improve speed, clarity, documentation, analysis, and execution across the product development lifecycle.

This is a hands-on role for someone who can bring structure to a fast-moving software company and help us improve how we define, prioritize, build, test, and release new features.

Key responsibilities

Product backlog and ticket management

• Own and maintain the development backlog.
• Create, organize, prioritize, and update tickets in Jira,.
• Make sure every ticket has a clear description, business context, acceptance criteria, priority, status, and owner.
• Break large product ideas into clear epics, user stories, tasks, and subtasks.
• Identify duplicate, outdated, unclear, or low-priority backlog items.
• Keep leadership and engineering aligned on what is being built and why.

Sprint ownership and agile delivery

• Prepare and manage sprint planning, backlog grooming, sprint reviews, and retrospectives.
• Work with engineering to make sure sprint work is realistic, clear, and properly scoped.
• Track sprint progress, blockers, dependencies, risks, and open questions.
• Follow up with developers, designers, QA, and stakeholders to keep work moving.
• Help improve sprint predictability, delivery quality, and team communication.
• Maintain visibility into what is in progress, what is blocked, what is delayed, and what is ready for release.

Requirements gathering and feature definition

• Gather requirements from leadership, customers, sales, support, operations, and internal users.
• Translate business needs into clear product requirements, user stories, workflows, and acceptance criteria.
• Ask strong questions to clarify use cases, edge cases, permissions, user roles, data flows, and expected behavior.
• Create lightweight product requirement documents, feature briefs, process flows, and release notes.
• Partner with engineering to clarify technical dependencies and constraints.
• Confirm that completed work matches the original business goal before release.

AI-focused responsibilities

This role should actively use AI tools to improve the product development process. The person does not need to be an AI engineer, but they should be highly comfortable using AI as part of their daily workflow.

They should use AI tools to:

• Draft and improve user stories, acceptance criteria, and feature requirements.
• Convert meeting notes, customer feedback, and stakeholder requests into structured product tickets.
• Summarize long discussions into decisions, action items, risks, and open questions.
• Create first drafts of PRDs, sprint notes, QA test cases, release notes, help documentation, and internal training materials.
• Identify missing requirements, unclear logic, edge cases, and potential user experience gaps.
• Compare feature requests against current backlog items to avoid duplicate work.
• Generate test scenarios for QA based on acceptance criteria.
• Analyze support tickets, user feedback, and internal requests to identify product patterns.
• Create reusable AI prompts and workflows that improve product operations.
• Help the team reduce manual administrative work through smart use of AI tools.
• Validate AI-generated output for accuracy, clarity, and business fit before sharing it with the team.

AI tools and workflow experience

The ideal candidate should be comfortable using tools such as:

• ChatGPT, Claude, Gemini, or similar AI assistants.
• AI features inside , Jira, Confluence, Microsoft 365, or similar platforms.
• AI tools for meeting summaries, documentation, research, workflow mapping, and product writing.
• Basic automation tools such as Zapier, Make, or native integrations are a plus.
• Familiarity with AI-assisted development tools such as Cursor, GitHub Copilot, or Replit is a plus, but not required.

They should know how to use AI responsibly, including protecting confidential company and customer information, reviewing AI-generated work, and not blindly relying on AI outputs.

Required qualifications

• 3–5+ years of experience as a Product Owner, Technical Product Owner, Product Manager, Business Analyst, Agile Project Manager, or Delivery Manager.
• Experience working directly with software development teams.
• Strong understanding of agile development, sprint planning, backlog management, and release coordination.
• Ability to write clear user stories, acceptance criteria, requirements, and product documentation.
• Strong organizational skills and attention to detail.
• Comfortable working with technical and non-technical stakeholders.
• Ability to manage multiple priorities in a fast-moving environment.
• Strong communication, follow-up, and problem-solving skills.
• Hands-on experience using AI tools to improve productivity, documentation, analysis, or project delivery.

Preferred qualifications

• Experience in SaaS, marketplace platforms, HR tech, workforce management, staffing, recruiting, HealthTech, or B2B software.
• Experience working in a startup or fast-growing technology company.
• Experience with Jira, Azure DevOps, Confluence, or similar tools.
• Experience creating PRDs, workflow diagrams, QA test cases, and release documentation.
• Basic understanding of APIs, databases, user permissions, integrations, and software architecture.
• Experience using AI to improve product operations, customer research, backlog organization, or QA planning.

What success looks like

After 90 days, this person should have:

• Cleaned and organized the product backlog.
• Created a clear sprint planning and backlog grooming process.
• Improved the quality of development tickets.
• Reduced unclear or incomplete requirements going to engineering.
• Created reusable templates for user stories, feature specs, QA criteria, release notes, and sprint reporting.
• Used AI tools to speed up documentation, ticket creation, requirements analysis, and stakeholder communication.
• Given leadership better visibility into product development progress.
• Helped engineering spend less time clarifying requirements and more time building.