Top Cloud Jobs in Denver & Boulder, CO

Design, scope, prototype, and deliver backend and full-stack features for the Retail Grocery platform. Make technical decisions, deploy AI-native experiences, engage directly with customers and iterate quickly to meet retail needs.

Manage full-cycle recruiting for Sales and Customer Success roles: build candidate pipelines, prioritize inbound applications, partner with hiring managers, use recruitment data to drive decisions, and ensure inclusive candidate experiences while meeting high-volume hiring goals.

Lead end-to-end execution of enterprise IT systems initiatives, unblock technical bottlenecks, integrate and consolidate tooling, drive user adoption and training, build dashboards and post-mortems, and serve as strategic liaison between IT domains and business stakeholders to deliver cross-functional IT programs.

Perform proactive and active threat hunting across government cloud environments, analyze intrusion and malware activity, develop detections, communicate findings to technical and executive stakeholders, contribute to threat intelligence and detection engineering, and leverage AI to enhance workflows and decision-making.

Manage customer relationships for the Falcon Intelligence Recon product: triage and escalate findings, guide customers on Recon insights, advocate feedback to engineering, and lead process improvements to increase customer satisfaction and renewals.

Lead technical marketing for Falcon Secure Access by creating demos, labs, workshops, and technical content that translate secure access, browser security, Zero Trust, and AI security capabilities into market-facing messaging, sales enablement, and go-to-market strategy. Collaborate cross-functionally to drive adoption and competitive differentiation.

Lead North America agency adoption and engagement for Applied's commercial collaboration portfolio. Set strategy, build scalable operating models and playbooks, align cross-functional teams, and personally lead executive agency engagements and large migrations to drive day-to-day usage and bound premium. Combine human-led and digital adoption motions and reinforce network effects between agencies and carriers.

Lead digital transformation and AI-powered support initiatives to improve case lifecycle, self-service adoption, and customer outcomes. Own knowledge management (KCS), process optimization (Lean/Six Sigma), enablement, COE programs, and cross-functional partnerships with Engineering, Product, and Operations. Analyze case trends and metrics to drive product, process, and digital support improvements and reduce resolution times.

Own and maintain Wasabi's end-to-end revenue forecast and master model across products, regions, sales pods, and cohorts. Build what-if scenarios, reconcile ARR/bookings/billings/GAAP revenue, produce regular review packages, and lead variance walks. Partner with FP&A, Accounting, Sales Ops, BI, and Data Science; design quota structures; support annual planning; and use AI and ML-driven inputs to automate workflows and improve forecast accuracy.

The role involves auditing financial statements, internal controls, and compliance with standards, while mentoring junior staff and maintaining client relationships.

As an Audit Manager, you will manage audit engagements for tribal industry clients, oversee teams, provide feedback, and ensure compliance with GAAP while maintaining strong client relationships.

The Senior Auditor will conduct audits of financial statements, ensure compliance with auditing standards, assess risks, and train staff.

Lead full-cycle recruiting for Go-to-Market roles (Customer Success, Solutions, Sales Ops), partner with senior leaders, use data to influence hiring, build proactive pipelines, employ creative sourcing, optimize processes, collaborate cross-functionally, and leverage AI and modern recruiting tools to improve quality and efficiency.

Lead design and delivery of scalable customer-facing features, services, and APIs that process real-time data and AI-powered insights. Build web experiences, contribute to LLM/AI workflows, ensure reliability through observability and rollout practices, and collaborate cross-functionally with Product, Design, ML, and platform teams.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Lead and scale Product Marketing operations: build operating models for messaging lifecycle, portfolio and roadmap visibility, PMM launch governance, cross-functional decision rights, templates, reporting, and AI/automation-enabled workflows to improve launch readiness and go-to-market execution.

Design, launch, and scale customer community engagement programs (webinars, events, advocacy, content campaigns) to drive activation, repeat participation, retention, and measurable business impact. Work cross-functionally with Customer Success, DevRel, Product, and Marketing; define KPIs, run experiments, and optimize programs to convert participants into contributors and advocates.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

Own the technical lifecycle and operational health of a global high-density GPU fleet. Validate hardware, benchmark performance, monitor uptime and SLAs, automate operations using LLMs/agents, perform deep network and system-level troubleshooting, coordinate incident communications, and support infrastructure partners.