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

Lead the creation of analytics strategies, manage data pipelines and reporting solutions, and mentor data professionals while ensuring data usability and quality across the organization.

The Sr. Quality Assurance Tester II role involves providing QA support for data systems, collaborating with teams to ensure software meets quality standards, and testing applications in a classified AWS environment.

The Director of Strategic Partnerships is responsible for driving revenue by closing enterprise deals, developing scalable solutions, and creating new revenue streams. This role involves understanding customer needs, leading high-value partnerships, and managing the sales lifecycle from discovery to contract signing.

The Sales Development Representative role involves creating and engaging prospects, initiating outreach via phone, email, and LinkedIn, and converting inbound interest into qualified meetings. Focus on outbound prospecting is essential for pipeline development.

Lead the full product lifecycle of AI products, focusing on customer needs and rapid prototyping. Collaborate with engineers and researchers to create scalable solutions while guiding a team of product leaders.

The Principal Python Engineer will design, build, and maintain backend services and APIs, focusing on system reliability and engineering quality. The role involves working with databases, applying DevOps practices, and leveraging AI for development efficiency.

The Commercial Lines Account Manager provides client service, manages commercial accounts, negotiates rate terms, and educates clients on insurance policies and compliance.

The Category Manager will lead insights and analytics to support sales and commercial strategies, focusing on category performance and retailer relationships.

As a Senior UX Engineer, you'll redesign the user interface for a telehealth platform while conducting user research and collaborating with cross-functional teams.

Build and operate scalable data pipelines and analytics-ready datasets using Python, dbt, and BigQuery. Develop Looker dashboards, ensure data quality and observability, optimize performance and cost, integrate data workflows with backend services and CI/CD, and support analytics, experimentation, and production use cases.