Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

The AI Research Engineer will design next-generation AI systems, focusing on agent architecture, memory engineering, and performance benchmarking, while translating research to scalable systems.

The Senior Product Manager will lead the AI product roadmap for Revenue Cycle Management, focusing on AI-driven billing solutions and metrics measurement, while collaborating with cross-functional teams to deliver value.

The Senior Product Manager will own the platform services roadmap, manage APIs and shared services, engage cross-functional teams, and drive product value, ensuring alignment with company strategy and customer needs.

As a Solution Architect, you will advise customers on SUSE solutions, engage in technical sales processes, and collaborate with sales and engineering to ensure customer satisfaction and strategic alignment with business needs.

The role involves managing AI automation initiatives within accounting and finance, focusing on improving efficiency and data-driven decision-making.

The Development Program Manager leads Q-Systems for design and construction of telecom quality systems, ensuring compliance, managing projects, and coordinating with various stakeholders.

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.

This role oversees the onboarding and engagement of Digital Reporter contractors, supports QA processes, and manages internal communication and documentation.

As Director of Global Business Travel, you will define and execute TMC strategies, manage enterprise relationships, and drive revenue growth for Wenrix.

As a Senior Growth Marketing Manager, you'll lead upper-funnel acquisition, develop media strategies, optimize campaigns, and influence brand engagement while measuring impact and efficiency across various platforms.

The Software Engineer (Fullstack) at Sumble will develop and optimize software applications, manage data integration, enhance security, and ensure a high-quality user experience.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.