Top Tech Jobs & Startup Jobs in CO

The Senior Project Manager leads enterprise SaaS deployments for financial clients, managing project execution from planning to implementation and ensuring client satisfaction.

Partner with Finance and stakeholders to gather requirements, develop and maintain financial and operational reports and dashboards, analyze complex datasets, build and optimize SQL queries/stored procedures, ensure data quality, support rate-setting, and identify automation opportunities to improve reporting and self-service analytics.

The Business Development Representative will drive pipeline growth by engaging MSP owners through targeted outreach and collaboration with Account Executives. Responsibilities include running outbound campaigns, researching accounts, crafting personalized messages, and exceeding meeting metrics.

The Account Manager manages client relationships, oversees account details, develops proposals, and ensures exceptional customer service while collaborating with internal teams to meet client needs.

This role involves driving new logo revenue, managing a pipeline of enterprise opportunities, and engaging C-level stakeholders to promote Tufin's cybersecurity solutions.

Lead and modernize core Laravel/PHP backend systems and high-performance React/TypeScript frontends. Architect integrations (MLS/RETS/RESO), improve video processing and media delivery, strengthen CI/CD and Docker deployments on AWS/Rackspace, introduce AI-driven automation, and provide senior technical leadership and mentorship.

As an RF Test Engineer, you will develop hardware and software test solutions for RF and wireless subsystems, create documentation, and validate these subsystems using automated test environments.

The Executive Director will manage DSNP product lines, ensure compliance with Medicaid, oversee medical expense management, and foster community relationships in Colorado and New Mexico.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

Support ML research scientists by building and maintaining large-scale data pipelines, relational/cloud/local data management, ETL processes, and DevOps-aligned infrastructure (containerization, CI/CD, observability). Collaborate across teams, lead small projects, and ensure organized, task-oriented delivery to enable computer vision/ML algorithm development.