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

Lead the design and delivery of complex automated material handling systems, including conveyors, sortation, pallet handling, AS/RS, robotics, and integrated technologies. Evaluate customer requirements, develop system layouts, drawings, technical proposals, cost estimates, documentation, and bills of material. Support projects from concept through execution and integration, coordinate with customers, suppliers, and subcontractors, conduct site visits, review technical work, and mentor engineering team members.

Supports commercialization of Atomic Layer Deposition equipment and processes through engineering documentation, equipment testing, validation, commissioning, process troubleshooting, data analysis, and customer support. Assists with PFDs, P&IDs, specifications, manuals, SOPs, factory acceptance testing, root-cause investigations, design reviews, and technical deliverables. Collaborates with engineering, manufacturing, operations, project teams, and customers in office and battery prototype manufacturing environments, with up to 15% travel.

Lead enterprise customer onboarding and software implementations, translating business requirements into system designs and guiding launches through project milestones. Train customers and internal teams, manage VP and C-suite stakeholders, resolve implementation challenges, and collaborate across Support, Integration, Product, and Sales. Drive continuous improvement, change management, and customer success while working with configurable QMS and frontline-worker software in regulated industries.

Supports the Data Science and Machine Learning team by analyzing large-scale datasets, identifying anomalies and root causes, developing data validation and normalization methods, and improving the accuracy of derived data products. The intern will evaluate models, translate ambiguous problems into statistical formulations, debug messy data, test hypotheses, and implement maintainable analytical solutions using Python, SQL, and distributed data platforms.

Designs, operates, and evolves global enterprise infrastructure across Azure, Windows, Linux, networking, identity, endpoints, and Internet technologies. Responsibilities include production changes, troubleshooting, incident response, root cause analysis, infrastructure reliability, automation, documentation, and standardization. The role requires cross-platform technical breadth, operational ownership, and collaboration with infrastructure, security, application, and business teams, including leadership of offshore network engineering teams.

Own end-to-end delivery of complex enterprise software implementations from kickoff through go-live and stabilization. Lead requirements discovery, project planning, cross-functional teams, client communications, scope and change control, risk mitigation, technical discussions, status reporting, and executive updates. Ensure projects meet timeline, budget, quality, and satisfaction goals while maintaining clear documentation and improving delivery methodology.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.

Designs, develops, integrates, deploys, and supports FIS Systematics Advanced Lending System solutions. Leads cloud, enterprise application, infrastructure, and systems integration initiatives; defines requirements, architectures, specifications, testing, and deployment plans. Provides technical leadership, mentoring, troubleshooting, risk mitigation, governance, documentation, and operational support across distributed environments. Collaborates with IT teams, vendors, and testing teams to deliver compliant, scalable solutions and improve system performance.

Leads the people-side implementation of manufacturing transformation initiatives, including ERP projects and standard costing deployment. Partners with finance, operations, systems teams, and manufacturing sites to embed consistent costing processes, improve data integrity, support margin visibility, and drive adoption of new ways of working. Delivers training, facilitates change, influences stakeholders at all organizational levels, and translates costing policies into practical Microsoft D365 processes.

The Director of Web Growth will own web-driven GMV and full-funnel economics across paid search, SEO, content, CRO, and experimentation. They will manage the paid search team, partner with Product and Engineering to improve conversion, establish SEO and content capabilities, build dashboards and operating cadences, and guide web-to-app strategy using CAC, LTV, contribution margin, and AOV.