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

The Data Engineer will design and maintain data pipelines, enhance the data warehouse, support machine learning applications, and collaborate with various teams to leverage data effectively.

Seeking a Senior Elixir Engineer to develop scalable systems and contribute to technical decisions within product groups, focusing on Elixir and cloud technologies.

Lead and build an embodied AI data business: close pilots, define data products, stand up warehouse capture operations (hardware, edge processing, pipelines), hire and lead a senior team, manage P&L, and deliver high-quality datasets to robotics and physical AI customers.

Design, build, and maintain scalable full-stack systems; own features end-to-end; solve complex distributed-systems problems; mentor junior engineers; collaborate with Product and Design; ensure code quality, testing, and scalability for commerce/3PL applications.

Own and operate scalable infrastructure on GCP (GKE, Cloud Run, AlloyDB); author Terraform modules; manage containerized workloads; build observability in Datadog; design CI/CD in GitHub Actions; automate operational workflows; lead incident response and post-mortems; partner with engineers to improve reliability, cost, and automation.

Lead company-wide AI adoption and build an embedded engineering and product organization to ship AI-native internal tools. Own enterprise systems (CRM, ERP, HRIS, OMS, WMS), IT operations, security, data governance, and M&A systems integration. Partner with product and data leadership, set architecture and roadmap, and build a leadership team for IT, security, and internal systems to drive measurable efficiency and adoption across Finance, Revenue, People, Legal, Support, and Operations.

Lead full sales lifecycle to enterprise customers across the US: prospect, demo Stord platform, build strategic relationships, manage CRM pipeline, forecast revenue, and close new business while maintaining customer satisfaction.

Prepare complex fulfillment and parcel invoices, analyze large datasets using Excel, collaborate with Sales/Operations/Implementations, resolve billing disputes, document processes, produce KPI reporting, and support audits to ensure accurate, timely revenue recognition.

Lead two engineering teams owning the WMS platform: people management, predictable sprint delivery, platform enhancements, production reliability, incident leadership, and cross-team alignment with product and peers.

Lead and scale a multi-team engineering organization owning Billing, TMS, WMS, and LMS. Manage five engineering managers and a Principal Engineer, drive billing automation, deliver a standalone TMS/Parcel system, improve network LMS efficiency, and ensure WMS reliability and international scalability. Build cross-functional partnerships with Finance and Parcel, make organizational design decisions, coach managers, and prioritize technical investments to deliver measurable cost and revenue outcomes.