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

Manage administration, governance, and operational health of enterprise platforms (automation, document intelligence, API management). Enforce SDLC via ServiceNow and Azure DevOps, maintain runbooks and governance, support citizen developers, triage incidents, monitor Splunk and workflow queues, assist integrations and secrets management, and deliver training and intake assessments for business stakeholders.

Qualify inbound leads and run outbound prospecting to book meetings for Account Executives. Research accounts, conduct discovery, use HubSpot and sales engagement tools to manage pipeline, and collaborate with sales and solutions teams while learning CIQ's Linux, HPC, and AI infrastructure offerings.

Outbound Sales Development Representative responsible for building pipeline and booking meetings with target-account executives via email, social selling, and cold calls. Support commercial AEs, follow activity guidelines, collaborate with team, and use sales tools and enablement to meet monthly goals. Hybrid role based in Denver or Palo Alto.

Own BigPanda's product operating system end-to-end, connecting Product, Engineering, and GTM. Build AI-powered voice-of-customer intake and beta/design-partner programs, run launch readiness and cross-functional checkpoints, prototype internal low-code/agent tooling and dashboards, unify automated metrics and reporting, and identify/manual-to-agent automations to ship first working versions and drive adoption.

Lead strategy, vision, and roadmap for a cross-functional squad across Everand and Fable. Drive product development for recommendations, search, and ranking systems, balance experiments and large investments, partner with engineering, design, research, and data to ship features that help readers discover books.

Drive end-to-end execution of semiconductor programs, ensuring alignment across teams, managing risks, and meeting customer commitments with high quality.

The role involves end-to-end recruitment and talent management for semiconductor roles, designing onboarding and training strategies, and ensuring strong stakeholder communication.

The Design Verification Engineer ensures functional correctness of IPs and SoCs by developing verification environments, driving coverage closure, and automating tasks to enhance productivity.

Manage, deploy, monitor, and scale AWS-hosted web applications. Administer RHEL systems, web servers (Apache/Tomcat), databases, backups, security, and user access. Use Terraform, Ansible, CloudWatch, and Systems Manager to automate, troubleshoot, and document infrastructure; support DoD contracts requiring citizenship and clearance eligibility.

Design, train, and optimize high-performance ML/AI models and inference pipelines for remote sensor (OPIR) data. Integrate models into production Linux-based systems, collaborate with C++ and systems engineers, apply rigorous software engineering and Agile practices, and support missile warning, defense, and sensor-fusion applications.

Design and execute manual test cases (functional, regression, UAT); identify, document, and track defects; develop and maintain test plans and scripts; participate in requirements reviews; collaborate with engineers, product managers, and stakeholders to ensure software quality and compliance with QA standards.

Implement and manage data ingestion, enrichment, and integration for go-to-market teams. Clean and combine structured and unstructured sources, build automations and lightweight tools, integrate Clay outputs with the data warehouse, and partner with vertical stakeholders to create unified, actionable contact and lead views.

Manage end-to-end operations for high-profile experiences: ensure listing accuracy and quality, support guest vetting and logistics, coordinate partners and vendors, work with engineering on tooling and testing, analyze impact, resolve issues (including on-call), and maintain clear process documentation.

Design, build, and maintain large-scale, resilient systems; develop features and automated tests; mentor engineers; implement CI/CD and cloud-native infrastructure; integrate AI tools; lead projects, code reviews, and cross-team initiatives while improving engineering practices and documentation.