Top Hybrid Product Manager Jobs in CO

Lead the vision, strategy, and roadmap for Ibotta’s advertiser self-service campaign platform. Identify B2B advertiser needs, define OKRs, prioritize initiatives, and guide cross-functional Engineering, Design, Analytics, Research, and Architecture teams from discovery through launch. Build intuitive, AI-centered product experiences, collaborate with clients and internal stakeholders, manage scope and timelines, and measure outcomes.

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.

Lead strategy, roadmap, and delivery for customer-facing marketplace and digital commerce products. Drive discovery through customer research and analytics, define requirements and success metrics, lead Agile development from concept to launch, and partner with cross-functional teams to increase engagement, adoption, and long-term value.

Own the strategy, roadmap, discovery, delivery, and adoption of a supply chain orchestration product. Define workflows across ERP, WMS, TMS, APIs, EDI, and partner systems; prioritize measurable customer and business outcomes; collaborate with engineering, architecture, UX, data science, sales, and customer teams; and identify AI applications for exception diagnosis, guided resolution, and workflow automation.

Defines customer needs, personas, problem statements, value propositions, and product solutions for disability and absence insurance. Analyzes data and market trends, identifies gaps, leads process reengineering using AI and APIs, manages the product backlog, and partners with product, operations, technology, customers, and stakeholders to improve outcomes and efficiency.

Defines and executes strategy for benefits products, leading roadmaps, prioritization, release planning, market research, and customer adoption. Partners with engineering, UX, sales, service, customers, and leadership to deliver workflow automation, integrations, AI-driven solutions, and data-informed product improvements. Develops requirements, user stories, business cases, and design specifications while mentoring junior product team members.

Own Samsara’s monetization platform, including packaging, entitlements, metering, rating, provisioning, pricing, and unit economics. Define monetization for AI products, improve time to market and margins, and enable product teams to launch commercial changes efficiently. Partner with Finance, Sales Operations, and Revenue Systems to ensure offerings are billable, reportable, and auditable. The role requires technical platform-product expertise, strong business metric ownership, executive communication, and collaboration across North American and European teams.

Owns the retail lending product vision, customer-focused requirements, and product backlog. Prioritizes work based on business value, guides Scrum teams, partners with Scrum Masters, answers team questions, and validates delivered functionality. Communicates iteration outcomes and business value to stakeholders while managing risk and supporting customer solutions.

Own the vision and roadmap for Hex’s analytical product areas, including notebooks, dashboards, and conversational AI. Conduct customer discovery, competitive research, and data analysis to identify valuable problems. Collaborate with engineering, design, sales, and go-to-market teams to deliver impactful features, learn from market feedback, and support product success. The role requires hands-on experience with technical products and the ability to move quickly in a growth-stage startup.

Own the strategy and roadmap for fraud risk case resolution, including AI-assisted review, automation, self-service, and case management. Partner with Risk Operations, Engineering, Data Science, Analytics, and Compliance to define scalable workflows, requirements, metrics, auditability, and resolution paths. Use operational data to improve automation, decision quality, workload reduction, customer self-service, and cost while supporting regulated risk processes such as anti-money laundering and Responsible Gaming.