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

Provide senior-level remote IT support and operations for a distributed workforce: troubleshoot macOS/Windows/Linux/mobile, manage onboarding/offboarding, administer identity (Rippling/Okta) and MDM, maintain asset inventory, build AI-driven automations (Console.com, Risotto, Unthread), support SOC 2/HIPAA/ISO compliance, write runbooks in Notion, and contribute to the IT roadmap while mentoring the team.

As a Staff Full Stack Engineer at Assured, you will enhance the B2B SaaS platform by building and shipping features across the stack, leveraging AI tools, collaborating with teams, mentoring engineers, and driving architectural decisions to improve systems and product development.

As a Principal Product Manager, you'll lead product strategy, collaborate across teams, utilize data for decision-making, and partner with top executives to drive product success.

As a Staff Frontend Engineer, you'll drive frontend architecture decisions, implement UI systems, and collaborate closely with design and product teams to enhance user experiences using AI tooling.

As a Staff Marketing Designer, you will create high-impact digital experiences and marketing assets, collaborating with various stakeholders while maintaining brand consistency across all platforms.

The Staff Backend Engineer will design and scale core systems for a B2B SaaS platform, focusing on backend architecture, reliability, and AI-assisted engineering workflows.

Lead enterprise engagements, manage client onboarding, optimize delivery frameworks, solve technical issues, and drive customer success for large-scale accounts.

Lead creation of high-fidelity 3D brand visuals and motion designs using Cinema 4D and Redshift. Own end-to-end pipelines from concept, style frames and storyboards through physics simulations, procedural workflows, EXR multi-pass renders, After Effects compositing, color-managed (ACES/OCIO) look-development, and optimized asset handoffs for video, marketing, and interactive web.

Partner with cross-functional teams to design experiments, analyze large datasets, build dashboards and metrics, identify trends and customer behaviors, improve data quality and instrumentation, and provide actionable recommendations that drive strategic decisions and operational improvements.

Lead an end-to-end evaluation of the auto claims lifecycle, identify workflow and data gaps, define claims quality standards, ensure data integrity across systems, partner with Product/Engineering/Analytics/Operations to prioritize automation and product improvements, and communicate recommendations that improve cycle time, accuracy, financial outcomes, and customer experience.