Top Hybrid Senior Level Product Manager Jobs in CO

The Sr. Revenue Tools Product Manager will drive the vision, roadmap, and user experience for core Go-To-Market tools, lead user research, oversee feature execution, and ensure successful tool adoption and iterative improvements.

Lead development of new payroll tax products, handling strategy, execution, and collaboration across teams to deliver business outcomes and customer value.

The Product Manager for CLM will oversee the CLM capabilities, focusing on automation and integration while collaborating across various departments to ensure effective implementation and enhancements.

The role involves owning personalization and discovery features at Babylist, using ML systems for product recommendations and user engagement, while collaborating with engineering teams to enhance customer experience.

The Product Owner leads the user authentication strategy for CIAM in phone channels, enhancing security measures and optimizing customer experiences through modern technologies while managing a cross-functional team.

The Principal Product Manager, Growth will drive product strategies to enhance homeowner acquisition through innovative self-serve tools and cross-functional collaboration, focusing on growth levers and AI integration.

Lead and manage Zeta's data collaboration platform, ensuring its stability, scalability, and security while defining roadmaps, support structures, and success metrics.

Own and prioritize the product backlog, translate business requirements into user stories, collaborate with product managers, dev, QA, and UX, lead cross-functional teams, engage customers for research, and ensure delivered features meet acceptance criteria and product strategy.

Lead product management and program delivery for enterprise software implementations. Manage product lifecycle, stakeholder relationships, reporting, risk, and financial tracking; mentor juniors and align project objectives with strategic goals.

The Senior Product Manager will build AI starter kits and work accelerators, engage with business units to solve problems, and guide the adoption of AI capabilities.