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

Lead the web application team for IKEA Kreativ, designing features and architectures integrating 3D, AI, and cloud services.

As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.

Develop and expand the QA function, focusing on automated and manual testing processes while ensuring product quality for users.

The Enterprise Customer Success Manager will drive adoption and satisfaction of legal tech solutions, manage client relationships, and contribute to product evolution, ensuring a high retention rate and client success.

The Account Manager will manage client relationships, ensure timely delivery of services, create proposals, provide support, and maintain client data.

The Director, Corporate Accounting leads SugarCRM's accounting operations, ensuring accuracy and compliance with US GAAP, manages the global close process, and develops a high-performing team.

The Controller will manage accounting operations, ensuring financial compliance and reporting, overseeing audits, and mentoring staff, while partnering with the CFO.

Provide front-line support for independent hardware and paint store clients across Rundoo's ERP platform via Intercom, email, and phone. Troubleshoot POS, inventory, and accounting issues, perform spreadsheet-based data reconciliation, collaborate with engineering on bugs, document solutions in Notion, and maintain fast response and satisfaction metrics.

Lead security engineering for radar products: derive requirements, design and implement embedded security across heterogeneous processors (CPUs, GPUs, FPGAs), perform architecture assessments and vulnerability mitigation, develop test strategies, secure APIs and firmware, support milestone reviews, brief customers, and collaborate cross-functionally to integrate security from design through deployment.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.