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

As Director of Business Development, you will expand new business, maintain existing accounts, connect with clients, and achieve sales goals for bioanalytical services.

The Regional Sales Director is responsible for selling DAS solutions, managing sales funnels, and building strategic relationships to exceed revenue targets.

As a Client Support Specialist, you'll provide top-tier customer service, technical support, and product knowledge to assist clients, gather feedback, and track metrics for satisfaction. Collaboration with internal teams and adaptability to client needs are key components of the role.

As a Senior Product Designer, you will design engaging user experiences for mobile and web applications, collaborating closely with teams in all project phases and advocating for accessibility in design.

The Presales Consultant drives revenue through new client acquisition, maintains demo solutions, collaborates on sales strategies, and delivers impactful product demonstrations. Key tasks include business discovery, RFx responses, and working with sales and product teams.

The MCE Conventional Tech Supervisor manages the Liftra exchange team, oversees wind turbine component replacements, trains staff, ensures safety compliance, and prepares documentation.

As a founding full-stack engineer, you'll architect and build across the tech stack, collaborate with users, tackle engineering challenges, and shape Clipbook's engineering culture, owning projects from concept to deployment.

The Robotics & Automation Engineering Consultant will advise on automation feasibility, design manufacturing robotics solutions, and evaluate integration complexities. Key responsibilities include guiding robot selection and assessing cost vs. ROI for automation in manufacturing workflows.

The Director of Client Strategy leads client business strategies, utilizing data-driven approaches to enhance performance across major retailers while managing project lifecycles and client relationships.

The Machine Learning Engineer will develop editable visuals combining computer vision and machine learning, enabling chat-driven figure editing and leveraging biological understanding to produce accurate visuals.