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

SewerAI seeks a Senior Full-Stack Software Engineer to develop an AI-powered sewer inspection platform, focusing on computer vision, geospatial analysis, and robust data pipelines.

Lead and scale the North America or Latin America sales organization: set regional strategy, coach sales executives, drive enterprise deals, manage pipeline and forecasting, align cross-functional teams, support hiring and territory planning, and represent GoGlobal externally to grow revenue and market presence.

The MySQL DBA will manage MySQL environments, perform database administration tasks, tune performance, and create reports in Jaspersoft. The role involves collaborating on high availability environments and data import/export processes.

Drive market development for Observability across the Americas: run demos, lead technical pre-sales and proof-of-value engagements, secure OEM/embed partnerships, translate customer insights into prioritized product roadmap items, and represent the product externally through events and thought leadership.

This is an open invitation to submit your resume for future consideration within JuneShine Brands, a growing beverage company. The role emphasizes self-motivation and the ability to work in a fast-paced environment.

The Senior Account Executive manages client accounts, oversees project execution, builds relationships, and ensures financial oversight within medical communications.

The Naturalist focuses on Japan ornithology, leading educational programs, engaging guests, performing excursions, and supporting the team to enhance the guest experience on cruises.

This is an application for candidates to submit their interest even if no suitable job is currently listed, emphasizing innovation and a positive attitude.

The Principal Data Engineer will lead architectural decisions in data infrastructure, focusing on high throughput, real-time systems, and AI integration, while mentoring staff and collaborating across teams.

Analyze large marketing datasets, build predictive models for segmentation, pricing, and demand forecasting, support targeted campaigns and retention, partner with product and marketing, apply statistical and ML methods, ensure data quality with engineering, and communicate insights to stakeholders to drive conversion and retention improvements.