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

Design and run high-volume experiments across subscription and monetization experiences, including pricing, trial conversion, SKU routing, churn prevention, and win-back. Translate ambiguous briefs into testable hypotheses, collaborate with product, engineering, data science, and content teams, define success metrics, interpret results, and present learnings. The role requires strong visual and interaction design craft, animation skills, organized Figma files, proactive ideation, and effective use of AI and experimentation tools.

Lead quality assurance for storage and filesystem features, designing test strategies, executing system, stress, regression, and cross-functional testing, and developing automation. Collaborate with developers, tools teams, and customer support to improve testability, reproduce issues, and debug defects. The role requires expertise in NFS, SMB, NAS filesystems, Linux, Windows, VMware, shell scripting, Python, packet capture, test infrastructure, and release management.

Lead the architecture and development of a multi-RAT Open RAN digital twin supporting LTE and 5G NR simulation. Integrate production MAC and scheduler software with PHY, channel, UE, traffic, mobility, interference, and network models. Build fidelity tiers, AI/ML evaluation pipelines, reproducible experiments, calibration and validation practices, automated testing, and CI/CD workflows. Improve simulation scalability and reliability while collaborating across wireless, PHY, AI/ML, software, and lab-validation teams.

Lead Arch Insurance North America’s Surety Underwriting Group by setting strategy, managing underwriting performance, driving profitable growth, developing talent, ensuring regulatory compliance, and representing the organization with customers, agents, brokers, and other stakeholders. Evaluate renewals, new business, actuarial trends, reinsurance, market opportunities, and product applications while optimizing resources across the business unit.

Engineer and support enterprise Windows, virtualization, storage, backup, and datacenter infrastructure across multiple environments. Responsibilities include designing and implementing systems, managing virtualization clusters, configuring storage and disaster recovery solutions, supporting high-availability platforms, troubleshooting escalated infrastructure issues, documenting architectures, collaborating with networking and security teams, and mentoring colleagues. The role requires hands-on datacenter work, on-call availability, and occasional travel.

Support accounts payable, state sales tax filings and registrations, broader tax compliance, and monthly close activities. Responsibilities include invoice review, payment processing, reconciliations, accruals, amortization, and coordinating with external tax advisors. The role also identifies opportunities to improve accounting processes, controls, and workflows in a fast-growing, remote technology company.

Manage a portfolio of enterprise customers, lead technical onboarding and integrations, drive product adoption and expansion, surface customer feedback to Product/Engineering, create technical documentation, and run cross-functional initiatives to scale success.

Manage Salesforce opportunity intake, qualification, classification, and routing across internal departments. Review RFPs, technical specifications, and installation scopes to identify requirements, deadlines, responsibilities, and project fit. Use approved AI tools to analyze documents and support data-driven triage. Collaborate with sales and operations, maintain accurate pipeline data, and apply knowledge of networking, physical security, audiovisual, and electrical systems while meeting quality and deadline expectations.

Lead assessment, redesign, and hands-on implementation of data pipelines, ML workflows, and platform infrastructure. Produce prioritized system designs, harden production pipelines, improve observability, reliability, and data quality, and mentor the data team.

Designs the technical foundation for Dave’s AI Agent Factory, including agent architecture, MCP servers, governed data access, semantic-layer integrations, evaluation frameworks, deployment standards, observability, authentication, authorization, auditability, and PII protection. The role establishes scalable AI engineering standards and reusable infrastructure while partnering with Data, Engineering, Security, and Product teams to enable safe, reliable company-wide AI adoption.