Top Cloud Jobs in Denver & Boulder, CO

Lead product strategy and roadmap for Toast Now mobile, work with engineering and design to ship and iterate features, define success metrics, engage customers for research, and drive measurable impact across cross-functional teams.

Serve as the first step in the sales pipeline by executing high-volume outbound/inbound outreach, qualifying prospects, scheduling meetings for Account Executives, and developing toward a full-cycle AE role. Maintain daily activity metrics (100+ outreach actions), host qualification calls, and hand off qualified opportunities while applying feedback and improving performance.

Design, build, deploy, and maintain scalable, resilient backend services for a Voice AI platform. Lead cross-cutting projects, make architectural decisions, integrate AI platforms, implement observability and evaluation frameworks, and mentor engineers.

Lead and conduct complex, confidential workplace investigations; advise and coach leaders on employee relations and performance issues; develop proactive programs, policies, and scalable solutions; analyze case trends and partner with Legal and People teams to reduce risk and improve team member experience across jurisdictions.

Provide post-sales technical expertise to help customers adopt GitLab via webinars, labs, workshops, and consultative engagements. Collaborate with CSMs, AEs, and renewals to support implementations, architecture, CI/CD, SCM, DevSecOps, and Agile Planning. Create reusable enablement content and maintain specialty competency.

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 assigned client accounts to ensure satisfaction and renewals. Coach clients on SailPoint/IdentityIQ identity and access solutions, monitor usage and risks, provide strategic updates, identify expansion opportunities, and drive resolutions to customer issues.

Manage relationships with assigned clients to drive satisfaction, adoption, renewals, and product value. Advise on SailPoint IdentityIQ solutions, monitor account health, surface expansion opportunities, provide executive updates, and ensure contract renewals.

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.