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

The Enterprise Account Executive will drive revenue growth, manage relationships with insurance agencies, and oversee the sales process from prospecting to closing.

Responsible for acquiring new customers and expanding relationships within existing Fortune 1000 accounts, managing the full sales cycle from prospecting to closing.

The Embedded Software Engineer will analyze and develop embedded software systems, provide customer support, and apply software engineering and cybersecurity methods.

Manage data management and analytics projects, utilizing agile practices. Coordinate with cross-functional teams to ensure successful delivery and mitigate risks.

Support classified digital network exploitation missions requiring computer/information systems analysis, vulnerability assessment, penetration testing, and forensic techniques. Must hold required clearance and meet degree/experience combinations; work supports federal customers under classified contract.

The Senior Sales Executive develops sales strategies, manages relationships with channel partners, and drives revenue in the industrial and cybersecurity sectors.

The Backend Engineer will develop infrastructure for product integration, create documentation for team training, and influence technology decisions.

Lead end-to-end onboarding for PEO clients: build implementation plans for payroll, benefits, tax registrations and HR compliance; manage timelines, parallel payroll reconciliations, platform adoption, cross-functional handoffs, and continuous improvements to implementation tooling and documentation.

Lead backend Java development and architecture for enterprise applications. Design and deliver scalable, resilient microservices and APIs, mentor developers, lead technical decisions, support production incidents, and implement CI/CD and cloud-native solutions on AWS.

Lead and execute StarCompliance's data and AI strategy: build a governed data foundation, deliver production-grade LLM and ML capabilities (RAG, semantic search, vector DBs), establish MLOps, and grow a cross-functional Data & AI team aligned with product and business priorities in a regulated financial environment.