Top Cloud Jobs in Denver & Boulder, CO

Build production-grade marketing mix, forecasting, customer lifetime value, and incrementality models to guide budget allocation. Develop Databricks and Delta Lake ingestion pipelines, integrate GenAI agents for anomaly detection and reporting automation, and translate statistical insights into Tableau dashboards and executive strategy. The role also supports stakeholder training in Databricks SQL and requires at least one in-person interview.

Manage enterprise strategic sourcing and procurement across complex corporate environments. Lead RFx events, supplier negotiations, TCO analysis, contracts, requisitions, purchase orders, and vendor relationships. Enforce supply chain policies, regulatory requirements, and SOX compliance while delivering cost savings. Use AI-driven market intelligence, Oracle Purchasing, ERP platforms, database reporting, and automated EDI or cXML processing to optimize procurement workflows and forecasting.

Owns end-to-end enterprise DSPM delivery, including multi-cloud architecture, data connector deployment, classification pipelines, security policies, identity controls, Zero Trust integrations, troubleshooting, and customer consulting. Partners with engineering, product, sales, and enterprise customers to reduce cloud data risks, support AI governance, and optimize Zscaler security solutions across complex environments.

As a Security Architect, you will build secure agent runtimes and systems, ensuring robust security capabilities in agentic AI solutions while conducting security evaluations.

Leads a multidisciplinary data science and data engineering team supporting Finance. Sets strategy, prioritizes initiatives, guides analytical models and data architecture, advances AI and machine learning applications, improves data quality and reliability, establishes scalable operating processes, and communicates technical recommendations to Finance and executive stakeholders. The role also manages talent, oversees forecasting and decision-support outcomes, and drives measurable business impact.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Leads Samsara’s recruiting operations function, overseeing recruiting coordination and operations managers. Owns the end-to-end operating model, recruiting technology transformation, AI and automation strategy, change management, data-driven performance improvement, executive stakeholder partnerships, and team development. The role requires extensive recruiting operations experience, people leadership including managing managers, and hands-on experience with AI-enabled workflows and recruiting technology transitions.

Manage over 60 SaaS renewals per quarter for commercial accounts, exceeding sales targets and minimizing customer financial attrition. Identify renewal risks, drive platform adoption, negotiate favorable terms, close long-term renewal deals, forecast accurately, and uncover growth opportunities. Collaborate cross-functionally with sales teams, share customer insights, and promote Samsara’s customer-focused culture.

Provides financial analysis, modeling, forecasting, reporting, and budgeting for Honeywell Aerospace’s Avionics business. Partners with senior management and cross-functional teams to support strategic decisions, identify cost-saving opportunities, improve processes, and drive financial performance. The role is based in Phoenix, Arizona, with a hybrid schedule and reports to the Finance Director.

Own and coordinate cross-functional fraud and abuse prevention programs across Trust and Safety, Security, Engineering, Product, Legal, and Finance. Translate abuse trends into prioritized defenses, business cases, metrics, and implementation plans. Partner on payment fraud, chargebacks, account verification, AI-based risk detection, and incident escalation. Drive initiatives to completion without direct authority while balancing fraud risk with legitimate-user experience.

Own the full new-logo sales cycle for GitLab, from prospecting and pipeline generation through closing and post-sale transition. Build territory plans, conduct executive-level discovery, manage complex multi-stakeholder opportunities, articulate SaaS and consumption-based value, and maintain accurate Salesforce forecasting. Collaborate with SDRs, Marketing, Solutions Architecture, and Customer Success while using MEDDPICC and Command of the Message to drive predictable revenue and exceed quotas.

Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Sets data science standards, prioritizes investments, partners with executives, drives product adoption and revenue growth, and oversees experimentation, causal inference, predictive modeling, and AI initiatives. Develops talent, builds succession, and collaborates with Analytics Engineering and Data Engineering on a shared data and AI roadmap.

Prospect and qualify potential customers through outbound cold calling and email outreach. Schedule discovery meetings, develop business acquisition strategies, and collaborate with Datadog teams to help technology customers understand the value of its observability and security platform. The role includes structured sales methodology training, product education, mentorship, and opportunities for career growth in sales.

Generate qualified enterprise healthcare sales meetings through outbound prospecting, including 75+ daily cold calls, account research, decision-maker outreach, and pipeline development. Manage an assigned book of business, maintain accurate Salesforce records, collaborate with Account Executives and Marketing, communicate product value, and meet monthly and quarterly targets. The role requires SaaS sales experience, healthcare industry knowledge, strong organization, resilience, and effective use of sales and AI prospecting tools.

Design, implement, and optimize MongoDB database integrations, Change Data Capture and streaming capabilities, and observability systems. Develop high-performance C++ services, contribute to query engine and distributed systems architecture, lead projects from design through production support, and collaborate with product and engineering teams on technical roadmaps.