Top Remote Product Owner Jobs in Denver & Boulder, CO

Own and prioritize the Workday/ERP product backlog, translate business needs into epics and user stories, partner with Finance and business leaders, support Agile delivery and releases, manage integrations and reporting, ensure compliance and security, and drive continuous improvement and adoption across Workday modules.

Own the vision, strategy, roadmap, and backlog for Commercial Enterprise Profitability platforms, including Precision Lender and historical profitability data marts. Partner with Finance, Risk, Technology, Data, and business leaders to establish profitability methodologies, pricing capabilities, data governance, KPIs, and margin optimization solutions. Identify and deliver AI-enabled use cases that improve data accessibility, analysis, automation, and decision-making while leading agile product delivery.

Own AI Investing product areas across financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial workflows; launch features, monitor performance, analyze feedback, and iterate while balancing user experience, business impact, compliance, and operational complexity.

Own product areas within AI Stockbroking and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; analyze data and feedback; launch features; monitor performance; and drive continuous iteration while balancing user experience, business impact, compliance, and operational complexity.

Own product areas within an AI-focused neobank across financial services such as insurance, payments, savings, investing, and travel. Define product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; and use research, feedback, experiments, and performance data to drive continuous improvement.

Own product areas across AI Finance, including insurance, payments, savings, investing, and travel. Define user problems, product scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, launch features, monitor performance, and iterate using data, feedback, research, and production insights. Balance speed, user experience, business impact, compliance, and operational complexity.

Leads OpenText communications product strategy, migration roadmap, backlog prioritization, and Agile delivery. Configures personalized Medicare and Medicaid communications, governs templates, data, personalization, brand standards, and platform changes. Partners with architecture, MarTech, and business teams to develop scalable solutions, troubleshoot defects, maintain audit trails, and ensure regulatory compliance. Mentors team members and drives operational excellence, quality improvements, and effective member engagement.

Serve as Product Owner on an Agile Scrum team: maintain and prioritize the backlog, define roadmaps and user stories, liaise with product management, vendors, and cross-functional teams, drive product launches, measure product performance, and introduce process and technology improvements to deliver customer-centric solutions.

Serve as the Product Owner on an Agile Scrum team: maintain and prioritize the backlog, align roadmap and cross-channel experiences, define user stories, partner with stakeholders and vendors, measure product performance, and drive continuous improvement and innovation to deliver customer-centric product value.

Own AI stockbroking and other financial product areas from user problem discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; use research, feedback, experiments, and performance data to improve products; and balance speed, user experience, business impact, compliance, and operational complexity.

Own the end-to-end product direction and quality of an AI-powered email application. Define AI and system requirements, translate model capabilities into product decisions, establish evaluation frameworks, and balance quality, latency, cost, safety, reliability, and user experience. Partner closely with ML, backend, and client engineers to identify failure modes, improve system behavior, prioritize execution, and build predictable, trustworthy AI experiences.

Own AI Investing product areas across financial services. Define user problems, product direction, scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; use data and feedback to improve products; and drive post-launch iteration and performance.

Owns the Medicare Risk Adjustment platform and technical portfolio by translating business needs into technical requirements, prioritizing enhancements, assessing business value, and coordinating business, analytics, and IT delivery teams. The role manages competing priorities, supports technical budgeting, identifies opportunities, escalates insights affecting Stars outcomes, and drives initiatives that maximize platform value. This is a remote position with occasional travel for training or meetings.

Serve as the Product Owner for CMS programs, owning the Salesforce product roadmap, translating stakeholder needs into user stories, leading backlog grooming and sprint planning, coordinating cross-functional teams, supporting testing and UAT, managing documentation and technical processes, and driving adoption and continuous improvement while ensuring compliance with CMS requirements and program timelines.

Own product areas within BJAK’s AI Neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; and use data, feedback, experiments, and production issues to improve products after launch.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Partner with engineering, design, data, operations, compliance, and business teams to ship features, simplify financial workflows, monitor performance, and drive iterative improvements based on data, research, feedback, and production issues.

Lead product vision, define roadmaps, write user stories, prioritize backlogs, and accept sprint deliverables. Collaborate with stakeholders, clinical and pharmacy teams, and engineering to deliver Medicare and MTM-focused healthcare solutions while leveraging AI and data to improve outcomes and compliance.

Lead product roadmap and backlog for a volunteer-run SaaS platform: gather requirements, prioritize features, partner with engineering to deliver iterative improvements, collaborate with marketing/sales/support, and use user feedback and data to drive continuous product optimization.

Own and prioritize product backlogs, define user stories and acceptance criteria, elicit and translate requirements, facilitate Scrum ceremonies, and collaborate with product, design, development, QA, clients, and stakeholders. The role also supports roadmap execution, defect prioritization, usability testing, release documentation, customer training materials, validation testing, and daily Jira management while serving as a product subject matter expert.

Leads product strategy, vision, discovery, roadmaps, stakeholder engagement, requirements refinement, workflow modeling, backlog management, and user story development for commerce and order management solutions. Owns product outcomes across delivery streams, analyzes product metrics, manages risks and dependencies, and guides development teams toward successful client delivery. Requires consulting experience, order management expertise, executive communication, Agile/Scrum knowledge, and familiarity with AI tools and platforms.

Lead integrations product domain, translate strategy into roadmaps and backlog, write requirements and user stories, manage sprints, allocate developer resources, resolve blockers, measure KPIs, and mentor a tech writer to deliver robust API and middleware integration solutions for the Campus Experience Platform.

Own and prioritize the agile backlog, convert stakeholder needs into user stories, coordinate cross-functional launches, remediate UX/UI conversion issues, run A/B tests, analyze product performance with data, and present updates to leadership to drive B2C ecommerce improvements.

Own the data migration product experience as customers transition from legacy platforms to WebPT’s future platform. Collaborate with product, engineering, design, QA, customer success, support, and delivery partners to define migration strategies, prioritize backlogs, translate workflows into requirements, write user stories and acceptance criteria, gather customer feedback, and ensure reliable cutovers with data continuity across operational, transactional, and financial states.

Lead the vision, strategy, roadmap, backlog, delivery, adoption, and lifecycle management of an enterprise AI platform. Manage three direct reports and collaborate across technology, cybersecurity, risk, legal, compliance, data, and analytics. Ensure secure, scalable, governed, and responsible AI capabilities while translating business and technical priorities into measurable product outcomes. Drive stakeholder alignment, platform adoption, continuous improvement, executive communication, and team development in a highly regulated environment.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.