Top Cloud Jobs in Denver & Boulder, CO

The Commercial Sales Engineer presents technical solutions, gathers customer requirements, leads product evaluations, configures solutions, and designs test plans for successful customer outcomes. The role requires cybersecurity and networking expertise, including TCP/IP, DNS, routing, VPNs, and firewalls, plus experience using AI tools and working with SMB or enterprise customers.

Leads Samsara’s GTM AI Engineering team, building production AI agents, copilots, workflow automations, predictive models, and evaluation systems. Owns the shared AI platform, architecture, governance, observability, model routing, cost controls, and CRM intelligence. Partners with Sales, Customer Success, Support, Product, and Engineering to drive adoption and measurable business impact. This hands-on director role involves coding and prototyping approximately 70% of the time while hiring, developing, and guiding the engineering team.

Manage enterprise customer implementations of Samsara’s IoT platform, including deployment planning, adoption roadmaps, training, progress tracking, and account health monitoring. Build trusted relationships with executives and end users, explain technical solutions, resolve challenges, and coordinate with Sales, Support, Sales Engineering, and Product. Mentor Customer Success and Support teams while helping customers achieve safety, efficiency, and sustainability outcomes.

Design, build, deploy, and maintain resilient, scalable software for Toast Delivery Services. Develop real-time delivery tracking, driver matching, pricing, refunds, and payment-related systems. Solve distributed-systems and scaling challenges, integrate with partner APIs, uphold production reliability, promote strong engineering practices, and mentor teammates.

Leads an engineering team delivering Quoting, Catalog Management, and go-to-market technology. Oversees technical decisions, delivery planning, code reviews, quality assurance, release planning, incident resolution, stakeholder collaboration, and team development. Partners with Sales, Product, RevOps, and Data Analytics leaders while driving scalable solutions across Salesforce CPQ, Product Catalog, and related systems. Champions AI-assisted development and contributes to complex architecture and implementation efforts.

Lead credit risk strategy for lending products by analyzing portfolio performance, identifying risk drivers, refining underwriting and pricing policies, and conducting A/B tests. Partner with Data Science to develop and monitor credit models, while building AI-enabled workflows that automate analysis and surface risk signals. Collaborate cross-functionally with Risk, Product, Engineering, Operations, and Data Science to support scalable fintech growth and compliant automated credit decisioning.

Manage global suppliers for data center infrastructure, including cabling, power, cooling, fitouts, and commissioning. Develop sourcing strategies, assess technical capabilities, negotiate contracts, onboard suppliers, and manage performance, risk, pricing, and continuous improvement. Partner with engineering, operations, procurement, legal, and finance teams to support global data center expansion while ensuring technical quality, compliance, cost efficiency, and business continuity.

Provides technical leadership for enterprise pre-sales activities, including solution architecture, customer demonstrations, proofs of concept, technical presentations, sales calls, and opportunity qualification. Partners with account teams, customers, and resellers to position Rubrik’s data resilience, observability, and remediation solutions. Advises technical and executive stakeholders on integrated technology solutions, distributed architectures, file systems, SAN storage, cloud data management, backup, disaster recovery, and data analytics.

Lead product marketing for cloud data protection: define strategy and positioning, run GTM launches and campaigns, produce content and sales enablement, manage competitive and analyst relations, and partner cross-functionally to drive revenue, adoption, and market awareness.

Owns recurring revenue operations cadences, commission audits, Salesforce administration, reporting, data quality, and operational support for acquisition, payments, and upsell teams. Builds dashboards, investigates data issues, maintains SOPs, supports sales managers, tests workflows, and uses AI tools to automate reporting, analysis, documentation, and QA.

Leads GitLab’s Product Data Science team, setting its strategy, roadmap, analytical standards, and priorities. Partners with Product and Engineering leaders on experimentation, causal inference, analytics, and production modeling. Manages, hires, coaches, and retains data scientists while building a high-performing function. Provides hands-on technical review of models, analyses, and queries, and communicates insights and risks to senior leaders.

The Data Scientist will partner with Sales, Revenue Operations, and Finance to analyze GTM performance, build and productionize machine learning models, conduct experiments, forecast outcomes, and identify growth opportunities. Responsibilities include statistical analysis, causal inference, Python and SQL development, MLOps, agentic workflow automation, semantic-layer contributions, executive reporting, and communicating insights to nontechnical stakeholders in a fully remote environment.

Leads customer experience enablement programs for internal customer success and professional services teams. Develops training, onboarding, product content, job aids, assessments, and sales effectiveness strategies. Partners with field leaders and cross-functional stakeholders, supports product launches and events, delivers training through enablement tools, and measures program impact. Requires software sales or enablement experience, preferably in DevOps or open source, with public-sector or regulated-industry exposure.

Own the Workday Total Rewards product backlog and lead configuration, enhancements, integrations, annual compensation and benefits cycles, testing, and continuous improvement. Translate rewards policies into requirements and business processes, coordinate with HR stakeholders and external vendors, oversee data flows and integrations, and track adoption, accuracy, and ROI. Drive Agile delivery, automation, and AI-enabled solutions while ensuring compliant, zero-defect rollouts and protecting sensitive compensation data.

Lead enterprise-wide employee assessment, selection, development, and survey strategies. Design scientifically valid tools, manage employee voice programs, advise HR and executives on interpreting talent data, and facilitate action planning. Integrate assessments into hiring, leadership development, succession planning, and high-potential programs. Monitor industrial-organizational psychology trends, ensure ethical and legally compliant testing, and translate insights into organizational improvements.

Prepares and reviews multistate corporate income and franchise tax returns, workpapers, provisions, and apportionment calculations. Manages state tax audits and notices, researches legislative changes, supports ASC 740 reporting, and collaborates with finance, legal teams, tax advisors, and regulatory agencies. The role also improves compliance workflows using advanced Excel, CORPTax, and AI-driven research tools.

Serves as the senior-most business systems architect and final technical authority across CRM, billing, marketing operations, revenue, and integration platforms. Defines target-state architecture, modernization and decommissioning strategies, technical roadmaps, solution designs, and build specifications. Partners with executive stakeholders, resolves cross-system design decisions, evaluates build-versus-buy choices, manages risks and tradeoffs, and maintains architecture documentation. The role supports Salesforce, Marketo, Zuora, CPQ, quote-to-cash, and order-to-revenue systems.

Leads vulnerability intelligence research focused on rapidly analyzing and exploiting newly disclosed or actively exploited vulnerabilities. Develops Metasploit modules and framework improvements, conducts zero-day research, publishes technical analyses, advises detection teams, supports emergent threat response, presents research publicly, and mentors other researchers. The role requires advanced exploitation, reverse engineering, operating system, networking, and exploit mitigation expertise, plus cross-functional communication during time-sensitive security events.