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

Build and scale AI automations, agents, data pipelines, governance, spend dashboards, ROI metrics, and internal AI tooling. Manage Claude access, connector security reviews, AI champions, documentation, training, and executive reporting. Partner across departments to deploy production software, measure adoption and cost, and ensure teams own the tools they use.

Build production software and scalable cloud systems for AI-powered insurance calls. Responsibilities include designing core LLM systems, refining prompts, developing privacy- and security-conscious solutions, orchestrating thousands of concurrent phone calls, integrating FHIR APIs, testing, debugging, and documenting software. The role also contributes to product direction, engineering practices, and company culture as a foundational team member.

Serve as primary client contact guiding founders through company dissolution. Document and optimize processes, coordinate with internal teams and external parties, gather client documentation, provide empathetic customer support, and maintain accurate records while using remote tools to deliver scalable shutdown services.

Lead client cybersecurity incidents from triage through containment and reporting. Serve as incident commander, coordinate SOC and technical teams, communicate with executives and external counsel or DFIR firms, and determine escalation boundaries. Build incident response playbooks, severity models, escalation processes, client reports, and tabletop exercises. Mentor analysts and improve detection practices. The role requires hands-on investigation across cloud, identity, endpoint, server, and network environments, plus on-call availability.

Manages the planning, design, construction, and implementation of FTTH and FTTB fiber networks. Leads engineering teams, develops strategic network plans, resolves complex technical issues, ensures regulatory compliance, improves operational processes, and manages vendors and contracts. Requires telecommunications engineering management experience, strong fiber network expertise, leadership, project management, communication, negotiation, and decision-making skills.

Leads the enterprise PMO, overseeing project portfolio governance, prioritization, resource allocation, strategic initiatives, technology implementations, organizational change, financial performance, risk management, reporting, and operational excellence. Establishes project management standards and platforms, advises executive leadership, develops organization-wide capabilities, and supervises PMO staff.

Manages and grows a portfolio of existing clients by developing sales pipelines, forecasting opportunities, meeting quarterly targets, and closing deals. Serves as a strategic client advisor, builds stakeholder relationships, prepares proposals, develops account plans, and coordinates with technical, operations, product, and sales teams. Requires IT solutions-selling expertise, strong networking and presentation skills, and proficiency with Salesforce and sales tools.

Drives business growth for Axalta’s automotive refinish coatings by prospecting, developing customer pipelines, selling solutions, meeting revenue targets, conducting market research, presenting to decision-makers, managing relationships, and maintaining accurate Salesforce records. The role covers South Florida, requires a strong automotive refinish background, and involves travel up to 50% of the time.

Owns the accounting function for a medical technology company, leading technical accounting, ASC 606 revenue recognition, monthly close, GAAP reporting, audits, tax coordination, internal controls, NetSuite administration, and accounting team development. Partners with executive leadership, the board, auditors, investors, and lenders on financial reporting, cash management, budgeting, and strategic decisions. The role requires hands-on expertise across accounting operations, technical accounting documentation, inventory, SaaS and hardware contracts, and public-company readiness.

Design, develop, and operate large-scale data ingestion, transformation, enrichment, and processing pipelines across cloud, hybrid, and on-premises environments. Build distributed services using Java, Python, and Kafka; optimize data models and platform performance; deploy applications on Kubernetes; support infrastructure automation and CI/CD; troubleshoot production systems; and collaborate with customers and solution architects on implementations.