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

Investigate and document prior authorization and benefit verification requirements across payors. Research payor portals, submission processes, required documents and policy updates. Validate sources, solve ambiguous problems independently, and communicate findings to cross-functional teams to enable providers to obtain authorizations and verify patient benefits.

The RVP, Strategic Accounts will lead the Strategic Accounts business, driving new customer growth and designing a high-performing sales organization in the AI-powered customer experience sector.

Source and build high-quality candidate pipelines for engineering roles by identifying top technical talent, using pipeline metrics to prioritize, and partnering closely with recruiting and leadership in a fast-moving, fully remote startup environment.

As a Senior Consultant, you will lead the implementation methodology, manage enterprise projects, ensure customer success, and provide training while configuring workforce management solutions.

The Sr. DevSecOps Engineer implements DevOps practices focusing on security, manages CI/CD pipelines, and collaborates with teams to ensure compliance and operational excellence.

Design, build, and operate large-scale cloud microservices for incident management. Implement REST APIs, data access layers, and integrations; ensure security, scalability, and forensic workflows; collaborate with product teams.

Build relationships with property boards and POA offices; serve as on-site liaison during launch/installation; coordinate stakeholders, equipment, billing, and marketing; run community meetings; handle escalations and VIP contracts; and transition account to operations.

Lead automation projects to improve client service and operational efficiency: develop, maintain, and deploy scripts (Python/Selenium), manage production schedules, liaise with vendors and IT, and document/report progress.

Identify and qualify new business opportunities in US banking and payments. Execute multi-channel outbound campaigns, qualify leads, build relationships with financial institutions and fintechs, manage pipeline in Salesforce, collaborate with Sales and Marketing, and monitor market trends.

The AI Data Engineer will build and manage data pipelines and infrastructure for ML/LLM applications, ensuring data quality and compliance, and collaborating with data scientists and AI teams.