Top Software Product Manager Jobs in CO

Manage high-growth SaaS products, define product roadmaps, collaborate with teams, and enhance capabilities with AI. Deliver measurable product growth and customer value.

The Principal Product Manager will drive strategic initiatives, collaborate with stakeholders, and enhance systems for Sales and Marketing processes at Toast.

Own the Dialer product vision and roadmap to improve reliability, performance, and adoption. Lead cross-functional execution with Engineering, Design, Data, Support, and GTM to ship workflow and platform improvements, measure impact, and increase connect rates, calls completed, and meetings booked.

Own the roadmap and operational health of an audience activation platform. Define requirements, manage taxonomy and segment lifecycles, ensure QA and compliance, syndicate audiences to AdTech partners, monitor performance, and lead cross-functional delivery with Data Engineering, Data Science, Sales, and Partnerships.

Lead new product development at Hometap, conducting market research, product validation, and defining launch strategies for new financial products, leveraging AI tools for discovery and testing.

The Senior Product Manager will oversee ActBlue's payments platform, ensuring reliability and compliance while optimizing transaction processes and collaborating with various teams.

The Product Marketing Manager will develop marketing strategies for SMB products, optimize user journeys, and collaborate on growth initiatives.

Lead technical product development for the DSP platform: define APIs and platform governance, drive ML/AI optimization for bidding and pacing, ensure scalable low-latency systems, partner with Engineering and Data Science, deliver reporting and attribution, manage technical debt, and drive cross-team adoption and monetization of platform capabilities.

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 Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.