Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Build, configure, test, deploy, and optimize lifecycle marketing automation workflows. Configure audiences, personalization, segmentation, and engagement logic; perform quality assurance; monitor performance; troubleshoot issues; maintain documentation; and collaborate with marketing, automation, and cross-functional teams to deliver reliable, personalized student engagement.

Lead complex end-to-end SaaS implementations for municipal government clients, including configuration, data migration, integrations, training, change management, and post-launch transition. Advise clients on process re-engineering, data strategy, and scalable system solutions while managing scope, risks, dependencies, and stakeholder relationships. Partner with Sales, Product, Engineering, and Customer Success to assess feasibility, address feature gaps, improve delivery processes, and drive adoption.

Responsible for semiconductor wafer-fab device engineering and product yield improvement. Analyzes production and engineering data, identifies root causes of parametric and wafer-sort yield issues, conducts process experiments, performs failure analysis, dispositions material, and supports new product introductions and process transfers. Maintains yield limits, change controls, process flows, and specifications while collaborating with process, product, design, and test engineering teams.

Supports DEKRA’s audit group by coordinating client and auditor schedules, assigning resources, entering and analyzing data, tracking milestones and revenue metrics, maintaining documentation, and communicating with clients and internal stakeholders. The role also assists the Operations Program Manager with administrative and operational tasks in a remote work environment.

Develop hands-on Palantir Foundry solutions, including dashboards, applications, workflows, data integrations, and AI-enabled capabilities. Translate customer processes and requirements into scalable technical solutions supporting engineering, construction, infrastructure, and capital-project workflows. Collaborate with stakeholders, data owners, developers, and program leaders through discovery, development, testing, implementation, demonstrations, and transition to operations. The role is remote anticipated, may require travel, and is contingent on contract award.

Manages client contracts, vendor service agreements, warranties, renewals, amendments, and contract data within a CMMS. Partners with Sales, Finance, Service Operations, and IT to reconcile systems, support billing accuracy, resolve discrepancies, administer workflows, and maintain documentation. Serves as the contract-module subject matter expert, supports user training and process improvements, and performs testing and validation for CMMS enhancements.

Leads strategic communications for financial services policy clients, with emphasis on digital assets and currencies. Responsibilities include developing messaging and collateral, monitoring policy and media trends, conducting media outreach, managing client projects, editing junior staff work, supporting client relationships, contributing to business development, and coordinating integrated services across firm divisions.

Own end-to-end implementation and post-sale success for 2–3 enterprise SaaS accounts. Configure workflows, lead discovery, change management, training, adoption, account health, renewals, and expansion. Build scalable implementation playbooks, templates, and documentation while partnering with Product and Engineering on customer feedback and adoption blockers. The role is remote or hybrid in the Bay Area and requires approximately 10–15% travel to customer sites.

Owns automated dashboards, SQL-based analysis, data pipeline monitoring, exploratory analysis, and executive recommendations. The role tracks marketplace KPIs such as customer lifetime value, acquisition costs, churn, and provider utilization while partnering with engineering and product teams on data requirements. It is fully remote within the United States and requires advanced SQL, dashboard development, and strong analytical communication.

Build and operate production AI platform capabilities, including agentic and multi-agent systems, evaluation and monitoring frameworks, fine-tuning workflows, inference optimization, safety controls, APIs, and rollback mechanisms. Partner with data and infrastructure teams to deliver reliable, scalable AI services while balancing latency, cost, GPU utilization, and operational risk. Senior engineers also mentor teammates, review designs, and raise engineering standards.