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

Leads a global Deal Operations team responsible for exception quoting, case management, approval queues, service levels, and quarter-end execution. Drives cross-functional improvements across Sales, Finance, Renewals, IT, and CPQ, translating system complexity into recommendations, reducing manual work through process optimization and automation, and serving as the escalation point for complex quoting. Manages team performance, hiring, documentation, governance, and operational change.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

Coordinates the end-to-end candidate experience across hiring processes, including interview scheduling, candidate communication, applicant tracking system updates, pipeline monitoring, offer contract preparation, and handoffs to People Operations. Partners with recruiters and hiring managers in a high-volume, remote environment while maintaining accurate records, improving workflows, protecting confidentiality, and representing GitLab’s values and culture.

Drives revenue growth by prospecting for new compliance customers, expanding existing accounts, and selling Skillsoft’s legal, ethics, safety, and OSHA compliance solutions. Responsibilities include outbound prospecting, pipeline development, consultative solution selling, executive engagement, cross-functional collaboration, upselling, negotiation, presentations, and deal closure. The role requires managing whitespace opportunities, reporting pipeline health, and consistently exceeding sales targets in a remote, matrixed environment.

Develop, test, document, and support scalable software solutions for T-Mobile’s customer care operations. Responsibilities include front-end and back-end development with JavaScript, HTML, CSS, and Java; collaboration with engineering teams; software testing; technical documentation; and continuous system improvement. The role operates under close supervision and may involve technologies such as microservices, virtualization, containerization, networking, and big data platforms.

Sell Zscaler cloud security solutions to commercial accounts in the Mountain West. Build C-suite relationships, develop long-term account strategies, collaborate cross-functionally, act as a trusted advisor, and use channel partnerships to drive net-new logo acquisition and meet sales targets.

Develops and supports applications using C#, .NET, and Microsoft SQL Server. Responsibilities include implementing features, fixing bugs, writing unit and integration tests, debugging across the application stack, researching solutions, and contributing to maintainable, secure, high-performance software. The role requires collaboration, independent problem-solving, continuous technical growth, and awareness of industry and open-source trends.

Leads and develops a software engineering team building real-time, event-based bonus systems. Oversees people, delivery, governance, quality, architecture, risk mitigation, and SDLC improvements. Drives AI and agentic workflow adoption, mentors developers, removes delivery blockers, and remains technically engaged with scalable, low-latency solutions across backend, frontend, messaging, middleware, and database technologies.

Build, operate, and enhance Google Cloud infrastructure supporting a high-volume betting platform. Develop and deploy Terraform Infrastructure as Code, manage Kubernetes and GKE environments, automate processes with Python or Golang, implement cloud security protocols, monitor critical systems, resolve incidents, support CI/CD and GitOps practices, and participate in an on-call rotation.

Lead a small team developing and supporting a business-critical verification platform undergoing re-architecture with Golang, React, and cloud technologies. Design and deliver scalable, maintainable, performant systems, oversee solution architecture and code quality, estimate work, and provide technical leadership. Mentor developers, drive knowledge sharing, collaborate with UK teams, and take ownership of solutions from development through production, including facial recognition systems and operational tooling.

Lead AI transformation engagements for 1–2 strategic enterprise customers. Partner with executives to define outcomes, architect and build production AI solutions, configure monday AI agents and vibe apps, integrate customer systems through MCP, and develop custom scripts. Own deployments from discovery through rollout and adoption, measure business impact, conduct workflow evaluations, and convert deployment insights into reusable assets, product requirements, and roadmap improvements. Collaborate with Sales, Customer Success, and Product as the technical authority.

Build and lead GC AI’s revenue operations function from the ground up. Develop go-to-market processes, hire and manage a high-performing team, select and implement operational technology, align Sales, Marketing, Product, Customer Success, and Partnerships, and optimize pipeline, forecasting, retention, deal velocity, win rates, and revenue performance through data-driven KPIs.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.