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

The Product Marketing Manager will define and execute marketing strategies, oversee go-to-market plans, enable sales teams, conduct market research, and produce content to position EarthDaily's solutions effectively in the market.

The Application Support Analyst II provides advanced technical support, troubleshooting, and resolves software issues while ensuring user satisfaction and maintaining documentation.

The Lead Senior Staff Software Engineer leads technical and project initiatives, manages a small team, and enhances the platform's UI framework while ensuring quality and efficiency.

As a Sales Manager at Cloudbeds, you'll identify new business opportunities, build relationships, and showcase SaaS solutions for hospitality clients, focusing on client acquisition through proactive outreach and product demonstrations.

Lead the reliability and operations for ClickHouse's Postgres integration, automate deployments, develop infrastructure-as-code, and mentor engineers.

The Sales Development Representative will generate leads, conduct outreach to potential customers via various channels, and improve sales strategies and processes while working towards monthly goals.

As an Energy Storage Engineer, you will develop energy storage business strategies, perform technical analysis, manage projects, and foster client relationships while collaborating across teams and supporting staff development.

Design, develop, and deploy secure, scalable software solutions; implement and automate CI/CD pipelines and testing; manage cloud infrastructure (AWS/Azure) and infrastructure automation; provide Tier III support, monitor performance and SLAs, and train teams on automation best practices.

The Director of Strategic Accounts will generate opportunities for the Tanium platform, manage sales cycles, and maintain relationships with C-suite executives to exceed sales quotas.

Design, develop, and deploy production machine learning models to improve decisioning for consumer lending. Partner with business and technical teams to develop data sources, improve modeling methodology, manage models in production, and mentor others while practicing strong software engineering and MLOps practices.