Top Hybrid Entry Level Product Manager Jobs in CO

Own the vision, strategy, and roadmap for Vercel’s Dashboard, evolving it into a personalized, agent-powered control plane. Define agent interactions, proactive insights, information architecture, and cross-product design patterns. Partner with engineering and product teams to optimize performance and consistency, while running experiments and analyzing onboarding, adoption, and engagement metrics. The role requires experience building developer-facing dashboard or control-plane products, with strong product design, analytics, and AI perspectives.

Own the strategy and roadmap for Ping’s Orchestration SDK across web, iOS, Android, and hybrid platforms. Improve developer experience through intuitive APIs, documentation, sample applications, and integration tooling. Partner with engineering, product, documentation, and developer relations teams; gather customer and community feedback; prioritize backlogs; define adoption and integration metrics; evangelize SDK capabilities; and incorporate AI-agent workflows and evolving identity standards.

The Higher Education Product Manager shapes and delivers ASU+GSV Summit programming for higher education leaders. Responsibilities include curating sessions, managing speakers and program logistics, developing strategic partnerships, growing the higher education community, engaging industry stakeholders, and identifying technologies that improve workflows and attendee outcomes. The role combines product and program management, content strategy, relationship building, business development, and revenue-oriented partnership development, with travel and extended hours around the Summit.

Own the product roadmap, write feature specifications, define KPIs, and coordinate delivery across engineering, design, and growth. Prioritize initiatives based on retention, revenue, and engagement impact; manage sprint boards and timelines; coordinate testing and quality validation; and monitor feature performance through analytics dashboards and user feedback. The role requires strong SaaS or consumer product knowledge, analytical communication, and experience with product analytics tools.

Owns the end-to-end product strategy and execution for AI-powered systems. Defines requirements, evaluation frameworks, quality standards, and system behavior while balancing quality, latency, cost, reliability, safety, and user experience. Partners closely with ML, backend, and client engineering teams to identify failure modes, improve model performance, prioritize roadmaps, and deliver predictable, useful, trusted AI experiences.

Define and own product roadmaps, lead discovery and development with engineering and design, prioritize global customer needs, prototype features using AI-assisted tools, report product metrics, support sales and marketing, and analyze competitor and market trends to drive product adoption and onboarding.