> Markdown version of [/jobs/ext/3270446-mobile-product-owner](https://www.wearedevelopers.com/jobs/ext/3270446-mobile-product-owner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Mobile Product Owner - **Company:** Clean Harbors, Inc. - **Location:** Norwell, MA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, JIRA, Mobile Application Software, Oracle (Applications), Scrum Methodology, Website Wireframe, Microsoft Power Automate, GPT, Servicenow - **Published:** September 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c08beaea92b1f269 ## About the Role * 5 years of experience in Product Ownership, Business Analysis, Product Management, or a related role. * Experience working in an Agile/Scrum environment. * Ability to translate business needs into clear requirements and user stories. * Basic experience creating wireframes or prototypes * Strong communication and collaboration skills. * Ability to manage multiple priorities and work effectively across business and technology teams. * Experience with Jira, Aha, ServiceNow, or similar tools is preferred. * Mobile application experience is preferred but not required. * Demonstrated interest and experience in using AI tools to improve productivity and product-delivery processes. ## Description The Product Owner will be expected to leverage AI tools and modern product-management practices to accelerate requirements gathering, documentation, analysis, wireframing, testing, and overall product delivery., * Support the product roadmap, backlog, prioritization, and release planning for assigned mobile applications. * Work with business stakeholders to understand processes, pain points, and requirements and translate them into actionable product requirements. * Create clear user stories, acceptance criteria, process flows, and functional requirements for development teams. * Create low-fidelity wireframes and user flows to visualize business requirements and proposed mobile experiences using AI-assisted design tools. * Partner with UX/UI designers to refine wireframes and ensure the final designs provide a simple, intuitive user experience. * Use AI tools to quickly create and iterate on wireframes, user flows, requirements, user stories, acceptance criteria, and product documentation. * Facilitate backlog refinement, sprint planning, demos, and other Agile ceremonies as needed. * Coordinate with engineering and QA teams to track development progress, dependencies, risks, blockers, SIT, UAT, and release readiness. * Work across Mobile, Oracle, TMS, UX, QA, and other technology teams to ensure requirements and dependencies are aligned. * Maintain product information, roadmaps, features, and epics in tools such as Aha, Jira, and ServiceNow. * Support production issue reviews, prioritize business-impacting issues, and coordinate with technology teams toward resolution. * Gather user and business feedback and identify opportunities to improve mobile applications and processes. * Prepare release communications, status updates, meeting summaries, and other product documentation using AI-assisted productivity tools. * Identify opportunities to use AI and automation to eliminate repetitive product-management activities and improve team efficiency. * Escalate major scope, priority, dependency, or delivery issues to the Product Leadership. AI & Digital Productivity Expectations * Demonstrate hands-on use of AI tools such as ChatGPT, Microsoft Copilot, Gemini, Claude, or other enterprise-approved AI solutions. * Use AI to accelerate: + Requirements discovery and analysis + User stories and acceptance criteria + Wireframes and user-flow ideation + Meeting summaries and action items + Test-case and UAT scenario creation + Product documentation and release communications + Backlog analysis and prioritization + Process and workflow analysis + Research and competitive analysis * Validate and refine AI-generated outputs using sound product judgment and business context. * Follow company policies for data privacy, security, and responsible use of AI.