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

Drives business development and technical sales for high-speed data and signal integrity test solutions. Develops customer relationships, identifies market needs, shapes product positioning, delivers BERT and VNA demonstrations, supports compliance testing opportunities, builds sales pipeline, and influences product roadmaps. The role serves semiconductor, hyperscale data center, module, cable, and system OEM customers while representing the company at industry standards events. Travel includes customer visits, technical evaluations, and industry events.

Maintain and enhance SharePoint Online sites, including structure, navigation, branding, layouts, permissions, metadata, retention, search, and web parts. Recreate migrated pages, develop Power Apps forms and Power Automate workflows, monitor usage, and support users through troubleshooting, documentation, office hours, and training. The role also manages migration logs, compliance requirements, and communication with project leadership while supporting a federal government modernization contract.

Embed with client teams to design, build, and ship production-grade AI systems (LLM-powered apps, RAG, agents). Own architecture, write maintainable tested code, debug production issues, transfer knowledge, and contribute learnings, docs, and internal tooling.

Own a product area end to end, from customer and business discovery through roadmap definition, delivery, launch, measurement, and iteration. Partner closely with Engineering, Design, QA, operations, and business teams to solve technically complex workflow and integration problems. Use data, customer insight, and product judgment to prioritize work, communicate tradeoffs, and make timely decisions. This is a hands-on individual contributor role requiring strong written communication, technical curiosity, and ownership of outcomes.

Provide end-to-end HubSpot consulting: discovery, requirements translation, implementation, testing, data cleansing/imports, post-go-live support, and proactive client relationship building. Tackle code-related tasks and work in agile sprints to deliver solutions and ensure user adoption.

Provide technical customer support by answering product questions, diagnosing complex issues, developing solutions or workarounds, and collaborating with Support and Engineering teams. Document solutions, contribute to internal diagnostic automation tools, and participate in a weekend daytime on-call rotation. The role requires strong DevOps, Linux, communication, and independent problem-solving skills.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.

Develop and maintain full-stack web applications, integrate third-party systems, databases, workflows, and APIs, automate operational processes, and contribute to AI-driven features. The role requires independently troubleshooting live systems, investigating unfamiliar code and data, deploying features, and solving ambiguous technical problems in a collaborative, entrepreneurial environment.

Own the PMO's technology work intake, prioritization, governance, delivery standards, executive reporting, capacity tracking, and portfolio dashboards. Administer Jira and Confluence, automate PMO reporting and analysis with agentic AI, facilitate Agile and cross-team forums, manage communications and training, and support vendor and contract oversight. The role partners with technical leaders and executives to maintain delivery quality, visibility, and consistent PMO processes.

Lead the engineering function and remain hands-on while building an AI-powered freight billing platform. Own architecture, data infrastructure, AI/ML validation, enterprise integrations, security, CI/CD, observability, testing, and scalability. Partner with Product and Data Science to automate invoice validation, discrepancy detection, exception handling, and auditability. Build and mentor distributed engineering teams, establish technical direction, and deliver rapid MVP iterations for enterprise adoption.