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

Leads post-sales technical relationships with enterprise customers, including onboarding, implementation, integrations, workflow configuration, adoption, troubleshooting, and success planning. Partners with Product, Engineering, and Data teams to resolve issues and improve customer outcomes. May support strategic pre-sales engagements as a technical product expert while managing multiple customer relationships and developing repeatable post-sales processes.

Manages and grows customer relationships across a regional territory while acquiring new business and expanding strategic accounts. Develops sales strategies, prospects high-value targets, prepares quotes and proposals, manages CRM pipelines, forecasts revenue, supports renewals, and partners with operations for successful delivery. The field-based role requires 30%–60% travel to customer sites and trade shows, strong communication, commercial judgment, and knowledge of NDT or technical services.

Write and edit compelling English voice scripts for diverse projects; collaborate with stakeholders, adapt tone for audiences and platforms, and manage multiple projects independently on a contract, remote basis.

The Media Data Analyst will enhance Media datasets, oversee data extraction and transformation, and collaborate with clients and teams to improve product features.

Designs and implements scalable Azure cloud architectures, automates infrastructure provisioning with Terraform, and oversees Azure DevOps CI/CD pipelines. Provides technical guidance, troubleshoots complex infrastructure issues, and optimizes cloud environments for performance, cost, security, and compliance. Collaborates with stakeholders and cross-functional teams, documents architecture and processes, conducts environment assessments, and delivers Azure training while driving cloud innovation and business objectives.

Lead end-to-end design, development, and delivery of full‑stack features; drive architecture and code reviews; coordinate engineering work, write design docs and tests, and participate in Agile ceremonies. Must have blockchain/crypto experience.

Own end-to-end product experiences for a data-intensive, AI-native fintech OS: convert complex financial logic and APIs into intuitive flows, design dashboards and workflows, build and maintain a scalable Figma design system aligned with React components, prototype with real data, and collaborate closely with engineers to ensure usable, accurate UX.

Develop, deploy, and maintain InterSystems IRIS/Cache applications and complex HL7 interfaces (SDA, CCDA, JSON). Implement CQ Initiator/Responder workflows, support IRIS in Kubernetes (IKO), use adapters (SFTP, HL7, HTTP), troubleshoot integrations, and collaborate across teams.

Manage CRM customer data migrations from onboarding through completion. Responsibilities include analyzing source Excel data, creating import rules, validating and reconciling migrated data, documenting mappings and transformation logic, resolving discrepancies, and coordinating with customers, engineers, sales, onboarding, and support teams. The role requires strong Excel and Google Sheets skills, analytical problem-solving, attention to detail, customer service, and effective communication.

Lead the design and delivery of production AI systems, agentic workflows, and shared AI platform capabilities for loan origination and servicing. Responsibilities include model selection and routing, MCP and agent interfaces, RAG and context engineering, evaluation and observability, reliability practices, and scalable backend architecture. The role operates independently on complex initiatives, establishes technical patterns, makes platform decisions, and mentors engineers.