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

Lead a new pod to productize agency operations and customer data: define strategy and roadmap, build integrations and data architecture, ship internal platform and workflow automation, measure impact, partner with ops and engineering, and mentor PMs while driving AI-enabled product solutions from 0→1.

Lead end-to-end delivery of complex cross-functional technical programs: define scope, timelines, dependencies, and success metrics; run governance, reporting, and risk management; align engineering, product, and business stakeholders; embed operational readiness, monitoring, and post-launch support; and drive process improvements and data-driven decisions.

The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.

Serve as the primary technical contact for customers, design scalable solutions, run POCs, troubleshoot complex issues, deliver training and demos, influence product roadmap via customer feedback, and align technical strategy with sales and product teams to drive platform adoption.

The Senior International Accountant manages global accounting operations, oversees compliance and reporting for international subsidiaries, and optimizes processes while ensuring accurate financial reporting.

The Revenue Operations Manager will be responsible for driving performance, ensuring pipeline integrity, and providing commercial intelligence to improve US operations by utilizing AI and direct collaboration with sales teams.

The Software Engineer develops dynamic web and software applications for healthcare professionals using C#, ASP.Net, and SQL, ensuring adherence to technical requirements and standards.

Lead the design for a critical product area, collaborating with teams to craft effective user experiences while leveraging AI tools for prototyping and testing. Influence product strategy and uphold design standards while mentoring junior designers.

Design and develop scalable, engaging learning experiences across modalities (instructor-led, self-paced, experiential). Conduct gap analyses, create curricula and assessments, manage ID projects, integrate accessibility, and measure program outcomes.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.