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

Build and grow Upsun’s systems integrator and digital agency business across North America. This quota-carrying role owns prospecting, pipeline development, discovery, pilots, negotiations, forecasting, and full-cycle sales. The manager will convert pilots into recurring partner practices, collaborate with Agency, Solutions Engineering, Product, and Marketing teams, provide partner feedback, and represent Upsun at partner visits, roadshows, and regional events.

Lead architecture and hands-on development for AccessOne’s financing platform across frontend, backend, data systems, integrations, and cloud infrastructure. Modernize production systems, build accurate and auditable financial workflows, lead complex initiatives through deployment, and establish engineering practices. Use AI coding tools responsibly while ensuring software quality, security, testing, reliability, and maintainability.

Leads regional grocery sales across the Western United States, developing sales strategies, forecasts, trade plans, promotions, and retail execution programs. Manages broker, distributor, and retailer relationships; negotiates commercial agreements; monitors revenue, profitability, fill-rate, and other performance metrics; and identifies growth opportunities. Requires extensive CPG food sales experience, strong analytical and communication skills, and travel of up to 40%.

Leads growth and traffic acquisition across BOLD’s brands, owning job distribution, paid acquisition, SEO, attribution, bidding, traffic quality, and growth technology roadmaps. Partners with marketing, engineering, data science, and executive stakeholders to define acquisition strategies, run large-scale experiments, improve conversion and retention, and manage KPIs including traffic, CAC:LTV, ROAS, and user growth. Coaches product managers and drives cross-functional alignment.

Build and ship production AI systems for enterprise portfolio and planning workflows. Develop anomaly and signal detection, LLM-powered insight synthesis, natural-language planning rule translation, evaluation frameworks, and MCP tools. Partner with external AI providers initially, then establish internal standards for prompt design, model selection, agent architecture, reliability, and evaluation. Collaborate closely with product, design, and domain engineering teams.

Designs scalable enterprise SaaS solutions, translates customer needs into technical requirements and implementation plans, develops architecture diagrams and Statements of Work, and advises customers throughout the sales-to-deployment lifecycle. Connects field insights with Product and Engineering roadmap decisions, improves solutioning processes, identifies implementation risks, mentors pre-sales and professional services teams, and strengthens reusable frameworks, integration patterns, and delivery practices.

Own the platform’s performance, security, reliability, and operational foundations. Design scalable distributed systems, secure execution and software supply chains, improve CI performance, manage observability and alerting, automate compliance evidence and cost monitoring, respond to incidents, patch vulnerabilities, and convert recurring findings into guardrails, checks, conventions, and agent workflows. Collaborate across engineering, product, security, and finance while operating production systems and evaluating AI-driven engineering risks.

Leads the phased transition of four federal IT contracts into an integrated USSF communications and IT enterprise. Plans cutovers, governance, workforce recruiting and onboarding, clearance tracking, knowledge transfer, asset turnover, configuration management, risk mitigation, service desk integration, stakeholder coordination, reporting, and closeout while maintaining uninterrupted support to critical command, mission, and life-safety systems.

Administers and supports Salesforce as the enterprise CRM, including troubleshooting integrations, configuring systems, building reports, dashboards and flows, coordinating upgrades, managing data migrations and cleanups, and supporting major CRM projects. The role collaborates across departments, monitors system performance, develops procedures, and provides production support to users and connected applications.

Lead AI/ML initiatives for Air Force condition-based maintenance, from predictive model development through production deployment. Architect data pipelines, develop machine learning, deep learning, NLP, and generative AI solutions, and build knowledge graph capabilities. Provide technical leadership, integrate models into applications and workflows, and monitor data quality, model performance, drift, and bias. Collaborate with engineering, cloud, software, and product teams while supporting defense aviation logistics and sustainment missions.