Top Cloud Jobs in Denver & Boulder, CO

Lead, hire, train, and coach a team of Sales Development Representatives to generate pipeline, improve ramp time, maintain forecasts, and develop SDRs into full-cycle sellers.

Manage a team of product solution architects to drive Datadog adoption at scale, recruit and develop talent, advise product and enterprise customers on architecture and observability best practices, and participate in executive-level customer engagements.

Lead cross-functional FinTech programs, manage external partner operations, develop and implement program plans, drive operational excellence, support incident and reimbursement processes, and create frameworks to launch and scale initiatives.

The Staff Software Engineer will architect and code backend services and ML models, integrate systems, ensure quality, and mentor engineers in the AI & Strategy Engineering team.

As a Senior Manager in Software Engineering, lead a team delivering supply chain solutions, oversee technical operations, mentor engineers, and communicate with stakeholders for effective project execution.

Lead publisher-level alliances with ERP, TMS, and WMS software publishers to position Cleo as a preferred integration partner. Develop strategic 12-month alliance plans, drive joint go-to-market motions and ISV certification, own publisher-influenced ARR targets, and coordinate cross-functional programs with Product, Engineering, Channel, and Marketing.

Lead and mentor manufacturing & distribution IT development and support teams; manage SDLC, application support SLAs, incident management, backlog prioritization, UAT/change management, stakeholder communication, and vendor collaboration to improve operational efficiency.

Develop, deploy, and maintain Salesforce Lightning solutions and integrations. Troubleshoot defects, perform bulk data operations, collaborate with architects, PMs, and stakeholders, and support ongoing Salesforce implementations and improvements.

Manage DISH's domain and DNS operations, maintain ICANN and registry/registrar relationships, ensure compliance, oversee DNS business unit, and design and manage gTLD websites aligned with branding and UX best practices.

Lead end-to-end EHS SaaS implementations from kickoff through go-live. Manage project plans, risks, stakeholder communication, platform configuration, data migration, integrations, UAT, training, and handoff while driving customer adoption and continuous improvement.

Partner with Lead Account Managers to drive customers' digital transformation using BlackLine. Verify platform setup, train admins and end users, assess and redesign processes, architect solutions, deliver thought leadership, increase adoption and expansion, prevent churn, and document reusable process optimizations.

Lead and scale strategic relationships with named GSIs (e.g., Infosys, LTIMindtree). Own APAC revenue across sell-to/sell-with/sell-through motions, program-manage global business plans, influence pipeline, develop joint solutions and JSOs, and drive enablement, forecasting, and executive engagement to achieve partnered growth targets.

Drive new business through outbound prospecting, build and maintain partner relationships and a strong sales pipeline, conduct sales meetings/demos, and achieve quota while managing information flow across the sales cycle.

Drive new business through outbound prospecting, develop partner relationships, maintain a strong pipeline, meet sales quotas, conduct meetings and demos, and coordinate information across the sales cycle.

The Senior PCB Designer will collaborate with engineers to design high-density PCBs from prototype to mass production, managing complex PCB designs and ensuring high quality throughout the design release process.

The PCB Design Engineer will work with cross-functional teams to design high-density PCBs for consumer electronic devices, manage designs, and ensure high quality through validation and testing.

Lead design, build, and scale of production ML systems (including supervised, unsupervised, and LLM-based models). Translate prototypes into cloud-native deployments, optimize model performance, implement MLOps practices, and collaborate cross-functionally to integrate AI features while promoting model governance, explainability, and responsible AI.