Top Cloud Jobs in Denver & Boulder, CO

Lead GitLab’s global Deal Desk to scale quote-to-cash for complex subscription and consumption deals. Own deal structure, approvals, bookings fidelity, reconciliations, and commercial guardrails while partnering with Sales, Finance, Product, Pricing, Legal, and Ops to operationalize pricing, automate workflows, and enable the field. Serve as executive escalation for non-standard transactions and improve systems, controls, and processes to support a consumption-first GTM.

Serve as a trusted technical pre-sales advisor to financial services customers, leading technical discovery, demos, POCs/POVs, solution design, and workshops. Map GitLab and cloud-based DevSecOps capabilities to regulatory, security, and business requirements, collaborate with sales and product teams, and drive platform adoption and long-term customer advocacy.

Lead and grow a team of Solutions Architects serving public sector customers; drive technical pre-sales strategy, guide evaluations, collaborate with sales and cross-functional teams, improve team practices and execution, track KPIs, and act as a hands-on architect for strategic opportunities.

Manage long-term client relationships to ensure satisfaction and product adoption. Coach clients on SailPoint IdentityIQ and identity governance best practices, monitor account health, surface expansion opportunities, drive contract renewals, and provide strategic updates to internal stakeholders. Advocate for customers and resolve issues to maximize lifetime value.

Provide multi-channel technical support for Datadog Premier customers, reproduce and troubleshoot issues across integrations, educate clients on the platform, build documentation, run health-checks and demos, and participate in cadence calls and projects while working hybrid from the Denver office.

Provide advanced technical support for public-sector customers running mission-critical, highly regulated hybrid and multi-cloud workloads on Datadog. Troubleshoot complex issues across integrations, APIs, networking, cloud, and OS layers; handle escalations and incidents; mentor junior engineers; collaborate with Product, Engineering, Sales, and Customer Success to validate bugs and drive adoption. Work in-office on a hybrid schedule and participate in on-call rotations.

Partner with Field and Product teams to design and implement LLM observability architectures, build proofs-of-concept, produce technical collateral, and advise customers to drive adoption and product feedback.

Work with clients and engineers to audit marketing datasets, build analytics pipelines, and apply predictive models (segmentation, attribution, propensity) using SQL, Python, cloud big-data tools, and ML frameworks. Support implementations, develop analytic applications, and communicate findings to drive marketing outcomes.

Manage full sales cycle for Acquia's DXP, identify and close new business, engage C-suite stakeholders, negotiate large strategic deals, collaborate cross-functionally and channel partners, and support pipeline generation with marketing.

Manage and improve vulnerability management, asset visibility, and cloud security across hybrid and multi-cloud environments. Operate tools (Wiz, Rapid7), maintain asset inventories, triage and track vulnerabilities, coordinate remediation with Engineering/SRE/IT, support incident investigations and on-call rotation, maintain compliance evidence and runbooks, and contribute to program improvements and reporting.

Lead development and deployment of predictive models, analytics, and dashboards to support Sales, Marketing, Customer Success, and GTM operations. Mentor data scientists, partner with business leaders to prioritize analytics, ensure data governance and quality, and present insights to executives. Work with Snowflake/data lakes, build scalable ML solutions, and drive analytics adoption across the enterprise.

As a Business Development Representative, you'll qualify leads, follow up through various channels, and support the Outbound Sales team to increase sales opportunities.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

Drive sales operations for US and Canada markets, aligning strategy with execution while enhancing seller performance through data-driven insights and operational excellence.