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

The Senior DevOps Engineer ensures uptime, availability, and performance of the BrightEdge S3 platform, maintaining cloud infrastructure and automating operations.

The Account Executive will drive new business in drug development by prospecting clients, managing sales pipelines, and leveraging AI tools for regulatory workflows, while also ensuring compliance and customer satisfaction.

Lead global Phase 2b clinical studies in inflammation, oversee project execution, manage timelines and budgets, and mentor project teams.

The role involves driving sales for Tablet Command in the Northeast and Mid-Atlantic by managing accounts, building relationships, and closing deals with public safety agencies. It requires a mix of sales excellence and industry knowledge.

The Account Executive will originate hard money loans for residential real estate, manage client relationships, and drive revenue by closing deals. Responsibilities include sales cycle management, loan structuring, and internal collaboration.

Responsible for driving new business within large health systems, managing the full enterprise sales cycle, and engaging with executive stakeholders to close significant deals.

Manage a retail sales territory: maintain customer contact, execute sales initiatives, merchandize displays, service accounts, handle inventory and paperwork, and grow business relationships.

The Sales Director will drive sales growth in the Central USA for AI breast imaging products, manage the entire sales cycle, and collaborate with teams to enhance market presence.

The Enterprise Account Executive is responsible for managing enterprise sales motions, building relationships with key decision-makers, and delivering Nominal's testing platform to large technical organizations, focusing on strategic account growth and team development.

Serve as a technical partner to onboard and enable customers on Fiddler's AI observability platform. Architect integrations, deliver technical engagements, drive adoption and expansion, translate complex ML/LLM concepts for stakeholders, and advocate customer needs across product and engineering to ensure measurable outcomes.