Top Cloud Jobs in Denver & Boulder, CO

The Product Manager will lead product strategy, manage product lifecycle, define business cases, and collaborate with stakeholders to optimize product success across the company portfolio.

Develops and manages purpose-built HPE server configurations and bills of material for enterprise workloads. The role validates hardware configurations, supports new product introductions, maintains lifecycle and roadmap information, manages ordering and quoting rules, assists sales and customer escalations, and supports hardware lab testing. Success requires server platform expertise, configuration management experience, cross-functional collaboration, and troubleshooting skills.

Manage enterprise data and business intelligence products from ideation through optimization. Own product vision, strategy, roadmaps, backlogs, user stories, acceptance criteria, and product demonstrations. Gather requirements from cross-functional stakeholders, collaborate with engineering, architecture, and vendors, analyze large datasets, coordinate testing and incident resolution, monitor vendor performance, and maintain governance and compliance documentation.

Develops AI-enhanced cybersecurity automation, Python integrations, SOAR playbooks, SOC dashboards, analytical queries, anomaly detection models, and statistical baselines. Partners with SOC leadership to address operational challenges, reduce false positives, and improve analyst workflows. Establishes security-as-code, CI/CD, version control, documentation, and change-management practices while mentoring junior engineers and supporting security technology architecture and deployment.

Manages IT Service Operations across Change, Problem, DevOps, and ITSM functions. Leads cross-functional teams, develops AI-driven service automation strategies, oversees SLA and OLA performance, conducts Change Advisory Board reviews, ensures compliance and deployment reliability, and provides executive recommendations through performance metrics and trend analysis.

Build and secure generative AI platforms, predictive risk models, real-time automation pipelines, and dashboards for Third Party Risk Management and broader GRC use cases. Develop RAG architectures, agentic workflows, evaluation frameworks, guardrails, and continuous evidence-collection systems. Apply Python, compliance frameworks, quantitative risk methodologies, and cloud-native security practices to transform fragmented vendor risk data into actionable forecasts and executive reporting.

Leads Enterprise Security services, setting and enforcing security standards across identity, endpoints, business applications, cloud infrastructure, networking, IoT, and automation. Partners with IT, SOC, vulnerability management, governance, and threat operations teams to secure applications, monitor environments, manage EDR policies, remediate vulnerabilities, assess risks, and maintain compliance. Also drives AI security initiatives and uses AI tools to improve enterprise security capabilities and team efficiency.

Owns the operating model connecting data center asset activity in Nuvolo with fixed asset records in NetSuite. Designs processes, data standards, workflows, integrations, controls, reconciliations, reporting, and exception management. Partners with asset management, accounting, IT, and system owners to ensure asset additions, replacements, transfers, retirements, disposals, and maintenance events are properly documented and routed for accounting review.

Lead infrastructure security for GitLab’s FedRAMP and federal cloud environments. Set technical direction, architecture, security automation, and compliance patterns; own security posture; lead threat modeling, security reviews, continuous monitoring, and authorization-impacting initiatives. Partner with SRE, engineering, compliance, and leadership to drive remediation and roadmap decisions. Apply AI to constrained security workflows, mentor engineers, and influence security practices across GitLab offerings.

Leads and mentors a team of Technical Program Managers within GitLab Engineering’s centralized PMO. Responsibilities include staffing and resource alignment, establishing program management standards, developing the PMO strategy, partnering with Engineering, Product, Security, and GTM stakeholders, mitigating risks, tracking KPIs, and improving organizational planning and delivery processes.

Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.

Leads Toast’s analytics engineering function, owning enterprise data architecture, modeling strategy, analytics-layer development, and AI-ready semantic-layer vision. Builds and manages a team of analytics engineers, establishes roadmaps, partners with data engineering and business leaders, and drives scalable, governed data solutions across domains. Requires expertise in data modeling, dbt, SQL, stakeholder alignment, and people leadership.

Own growth initiatives across Toast’s Guest products, beginning with onboarding and activation. Build tools that capture restaurant context, reduce human dependency, accelerate time-to-value, and drive campaign adoption and retention. Partner cross-functionally with engineering, design, operations, onboarding, and product teams to identify high-impact opportunities, instrument funnels, and run experiments. The role involves AI-native product development using agents, LLMs, and structured knowledge stores.

Build and operate enterprise-grade backend microservices, data pipelines, integrations, and internal tools for finance automation. Productionize AI and agentic workflows, design event-driven systems across billing, ERP, Salesforce, and data platforms, and develop lightweight operator UIs. Own technical strategy, architecture, reliability, auditability, permissions, and enterprise controls including SOX and PCI requirements. Collaborate with Finance, Security, Compliance, and Audit teams to deliver scalable automation solutions.

Provide day-to-day legal counsel to Product, Engineering, Marketing, and Ops across the product lifecycle. Assess legal risk around privacy, data, security, IP, open-source, export controls, and AI. Draft and negotiate commercial and data protection agreements, support incident response and regulatory matters, and build scalable legal playbooks and automation to enable global product launches and compliance.

Own multi-year identity security adoption roadmaps for strategic enterprise accounts. Architect governance across human, machine, and AI agent identities; advise C-suite and engineering leaders; translate regulations into security architectures; quantify breach-risk reduction, compliance gains, and cost avoidance; support renewals and expansions; synthesize cross-account patterns for product and engineering teams; contribute thought leadership and mentor advisors.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.