Top Cloud Jobs in Denver & Boulder, CO

Sell GitLab's AI-powered DevSecOps SaaS platform to mid-market accounts (250–1,999 employees). Own prospecting, run complex sales cycles, manage adoption and expansion, collaborate cross-functionally, use value-based selling and structured methodologies, and support forecasting and churn reduction.

Manage large-scale software and consulting projects end-to-end for enterprise customers. Coordinate cross-functional teams, executive stakeholder communications, escalations, delivery schedules, scope, risks, and revenue recognition while improving Professional Services PM processes, tools, metrics, and templates.

Lead technical engagements to install, migrate, configure, and onboard customers to GitLab. Create SOWs, migration plans, training, documentation, and automation; communicate risks/status; collaborate with Product and Engineering; support quoting and process improvements. Travel approximately 20%.

Manage a team of TPRM analysts to run the vendor risk lifecycle, improve tooling and automation (ServiceNow TPRM, AI), perform assessments and audits, develop TPRM policies aligned to frameworks (NIST/ISO/SOC 2), partner with procurement/legal/IT, track KPIs, and support audit and reporting to leadership.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Lead global Customer Success analytics strategy, architect data and health/adoption models, oversee data pipelines, deliver executive-level storytelling, mentor an analytics team, and drive cross-functional KPI alignment and self-serve BI adoption.

Handle escalated multi-channel customer inquiries (billing, renewals, cancellations, RMAs), mentor peers, manage high-volume cases, improve processes, and provide actionable insights to improve customer experience and retention.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

Develop, train, and optimize computer vision and ML models (particularly video-based safety) using petabyte-scale camera and sensor data. Deploy and optimize models for backend and edge inference, collaborate with cross-functional teams, and translate customer needs into scalable ML/CV solutions.

Lead design and deployment of large-scale AI/LLM solutions across hybrid cloud and on-premises environments. Build predictive models for churn, anomaly detection, and forecasting; implement multi-agent/agentic pipelines, MLOps lifecycle (tracking, versioning, drift detection), and benchmark cost/performance. Translate results into executive scorecards and ensure AI governance compliance (NIST AI RMF).

Responsible for proactive technical talent acquisition by sourcing passive candidates, conducting technical interviews, and partnering with engineering leaders to meet hiring targets.

Lead the Billing Operations Audits & Exceptions team to manage workflows, hiring, and performance. Implement AI/ML, automation, and predictive analytics to reduce exceptions, ensure seamless billing system integrations, and build anomaly detection and reporting to meet departmental OKRs.

Lead intake, roadmap, and governance for an AI automation/platform team. Harden and ship business-built AI apps to production with secure GCP platforms, define acceptance criteria and responsible-AI gates, manage vendor buy-vs-build decisions, drive adoption, measure outcomes, and manage AI economics and stakeholder communication.

Build, model, and maintain scalable BigQuery-based data solutions on GCP. Implement performant data models, storage partitioning/clustering, ETL improvements, data validation, and documentation. Collaborate with architects, data scientists, and engineers to deliver governed, high-quality data for reporting and AI initiatives.

The Senior Creative Designer will lead creative projects, develop visual systems, and collaborate with teams to enhance SmartBear's brand identity across various platforms and channels.

Lead assessment and mitigation of security risks in the virtualization stack. Build threat models, rubrics, and defenses; partner with kernel, virtualization, and provisioning teams to design and implement mitigations; mentor engineers, manage vulnerability backlog, and promote security best practices across product teams.

Serve as a Datadog technical expert for partners: onboard, train, enable, and certify partner technical teams; support partner initiatives (demos, POCs, migrations); advocate partner technical needs internally; analyze partner services and recommend Datadog adoption improvements; collaborate with product and engineering to prioritize features and curate best practices for platform adoption and success.

Partner with sales to provide technical expertise during trials and POVs, deliver product demos and presentations, qualify and technically close complex opportunities, maintain CRM notes, and relay customer feedback to product teams. Support evaluations and communicate value to customers while traveling up to 45% of the time.

Own and architect large-scale data pipelines, orchestration, and integrations. Drive IaC strategy (Terraform), third-party API and AI/LLM tool integrations, build export pipelines and internal tooling, mentor engineers, and align cross-team technical strategy for reliable, scalable data infrastructure.

Lead global field and partner marketing to drive Sales-Led Growth (SLG) and partner-sourced pipeline. Own regional GTM strategy, ABM, mid-to-bottom funnel demand, partner co-marketing with AI ecosystems, PLG-to-SLG monetization, sales alignment, events, and scaling a multi-disciplinary global marketing team tied to pipeline outcomes.