Top Cloud Jobs in Denver & Boulder, CO

Design, build, and operate multi-region, multi-cloud network infrastructure across AWS, GCP, and Azure. Own cloud-to-cloud and customer connectivity, troubleshoot latency/packet-loss via pcap and path analysis, set technical direction for network expansion, improve cross-region connectivity, and identify network cost and efficiency improvements while participating in incident response and on-call rotation.

Manage high-volume contract renewals for commercial customers (<= $50K ARR), drive on-time renewals through cross-functional collaboration, identify upsell opportunities, and adopt AI tools to increase productivity and meet targets.

Partner with sales teams to design and deliver technical demonstrations and evaluations for data security solutions. Gather requirements, configure custom product setups, lead hands-on evaluations, and guide customers to successful outcomes in strategic enterprise opportunities.

Partner with sales to design and present data security solutions for SLED customers. Lead technical evaluations, gather requirements, build test plans, configure proof-of-concepts, and guide customers to successful outcomes while collaborating across GTM teams.

Lead and operationalize GitLab's Internal Audit function: plan and execute risk-based audits, oversee SOX testing, facilitate enterprise risk management, coach a distributed audit team, implement QA/improvement programs, and report to senior leadership and the Audit Committee.

Design, build, and maintain .NET full-stack financial applications and APIs, architect SQL Server databases and SSIS data integration pipelines, integrate GenAI/LLM and Databricks-based automation, enforce CI/CD with GitLab, and collaborate with CFO business units to deliver scalable, reliable financial solutions.

Support HR product initiatives by documenting current and future workflows, creating step-by-step job aids, tracking enhancements and communications, managing tickets and small applications, and analyzing product data and user behavior to inform decisions.

Analyze agent and customer experience gaps using data and feedback, conduct observations and roundtables, recommend improvements to training and support materials, partner cross-functionally to execute change initiatives, and manage multiple onsite projects to simplify workflows and elevate agent experience.

Lead design and execution of Toast's enterprise data governance: define strategy, build governance frameworks, policies, business glossary, Data Governance Council, ensure compliance (GDPR/CCPA/SOC2/PCI-DSS), run maturity assessments, enable data literacy, and grow the governance team to drive adoption across domains.

Manage a portfolio of SMB restaurant customers (Mandarin-speaking focus), drive adoption and retention of Toast products, deliver virtual meetings and demos, resolve technical and operational issues, leverage data to recommend product solutions, and participate in churn-saves and revenue retention conversations.

Lead client engagements to assess business challenges, define enterprise data and AI strategies, develop roadmaps, guide solution design and delivery, provide technical leadership and mentoring, and support practice growth via presales and thought leadership.

Lead and manage audit, review, and compilation engagements for construction clients. Oversee staffing, planning, budgeting, fieldwork, risk assessment, financial reporting, and team performance. Provide technical accounting guidance, support GAAP and ASU adoption, deliver training, and participate in business development and community activities.

Serve as a trusted post-sales technical advisor for strategic customers: drive Dynatrace deployment and adoption, troubleshoot complex integrations, provide training and coaching, advocate customer needs to support and product teams, conduct business reviews, and document best practices.

Lead and build Dynatrace's Public Sector post-sale organization (Customer Success, Professional Services, Technical Support) for US Federal, SLED, and Americas customers. Drive retention and growth, ensure FedRAMP/security/compliance, deliver operational excellence (NRR, CSAT, MTTR), scale delivery using AI and Salesforce tooling, partner cross-functionally, and manage cleared-personnel and support operations across the region.

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.

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.

Design, build, and operate production AI and data systems for marketing: LLM/agent orchestration, retrieval pipelines, data pipelines, CDP and warehouse architecture, automation of manual workflows, data quality and reliability, stakeholder collaboration, and mentoring. Ship production-grade Python and SQL solutions and evaluate/monitor AI systems.

Lead product marketing for MongoDB's Public Sector vertical, initially focusing on U.S. federal buyers. Develop positioning, messaging, and sales enablement for regulated workloads; create content (briefs, whitepapers, case studies), enable sales and partners, coordinate with compliance/product teams on certifications, run competitive and win/loss analysis, and expand messaging to State & Local and Higher Education.

Serve as the executive-level voice of strategic customers to the CPO, driving cross-functional alignment to embed customer feedback into the core product roadmap. Build executive relationships, manage escalations, lead executive meetings, track actions, define success metrics, and use AI and analytics to surface trends and influence product strategy.