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

The Program Governance & Configuration Manager oversees the Configuration Management system and PMO governance processes, ensuring compliance, process standardization, and operational efficiency across teams.

The Senior Product Marketing Manager is responsible for translating product strategy into marketing narratives, executing product launches, developing enablement assets, and measuring performance.

The Research Scientist Intern will architect algorithms, train AI models, collaborate with healthcare professionals, and publish research in medical AI applications.

The Manager of Internal Audit (IT) leads audit engagements, supervises staff, and develops risk-based audit schedules while ensuring compliance with regulatory standards.

As a Senior DevOps Engineer, you will design and optimize cloud infrastructure, manage CI/CD pipelines, and ensure system security and scalability in a fast-paced environment.

The Senior IT Risk and Compliance Analyst manages vendor risk, ensures compliance with regulations, documents controls, and supports risk mitigation efforts across IT teams.

The Lead Digital Product Manager oversees product security workstreams, ensuring effective delivery through collaboration, mentoring product managers, and developing enterprise roadmaps.

The Product Engineer designs and implements digital products using modern technologies, manages production applications, and coaches teams in agile practices.

As an Early Career Trial Attorney, you'll handle insurance defense litigation, conduct legal research, prepare legal documents, and represent clients in various legal proceedings while ensuring compliance with laws and regulations.

The Marketing Project Manager will execute marketing operations and campaigns for various healthcare verticals, manage projects and workflows, and ensure quality deliverables while collaborating across teams.

You will build and own end-to-end ML systems, focusing on training, evaluation, deployment, and integration with applications, while ensuring quality and efficiency.

The Senior Machine Learning Engineer will build and own production ML systems, manage end-to-end workflow, debug issues, and mentor others.

As an Applied AI Engineer, you will build and ship AI features, optimize ML models, ensure production reliability, and collaborate with cross-functional teams.

Lead embedded Linux development and customer-facing engineering: design/refactor real-time architectures, develop kernel drivers, debug low-level hardware/software issues, optimize performance, produce technical proposals, and ensure delivery quality for professional services engagements.