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

Lead cross-functional technology projects through the SDLC, translate business priorities into plans, manage scope, risks, dependencies and stakeholders, standardize execution practices, report status, support change management, and drive continuous improvement to deliver projects on time and aligned to business objectives.

Design and implement high-performance, low-latency software systems, lead technical architecture discussions, and mentor team members while integrating AI technologies and ensuring scalable backend infrastructure.

The CMCO at Terrabis drives revenue through marketing and commerce, overseeing strategies for brand growth, customer acquisition, and eCommerce performance while integrating digital and retail experiences.

As CEO, you'll lead sales efforts, build customer relationships, refine go-to-market strategy, and develop organizational structures in an AI startup.

The Technical Enablement Manager will develop onboarding and training programs for technical sellers, create learning materials, and partner with Customer Solutions to enhance sales effectiveness through enablement initiatives.

The Management Trainee will analyze workflows, support project management, engage in stakeholder meetings, and contribute to cross-functional projects. They will develop presentations and solve operational challenges creatively.

Lead and scale the insurance operations function, build the operating model for product development and launches, coordinate with underwriters and partners, implement QA and documentation standards, reduce operational risk, and create repeatable processes for disciplined, scalable execution across Product, Partnerships, and Underwriting.

The Full Stack Product Engineer will drive feature development and collaborate on user-facing applications, optimizing AI models and improving user experience.

Lead design and build of AI-enabled, full-stack applications across multi-cloud environments. Own end-to-end architecture, real-time data ingestion, agent orchestration, LLM and vector memory integration, reinforcement learning models, and front-end decision-support interfaces for regulated/government contexts.

The Data Platform Engineer will build and maintain data pipelines, ensure compliance, develop analytics, and collaborate on a full stack product with a focus on healthcare data.