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

Lead and grow a market segment from single validated product to multi-product portfolio with full P&L ownership. Start hands-on as product manager (roadmap, prioritization, discovery, GTM), then build and lead product teams, establish sales and operations, define segment strategy, and drive revenue, profitability, and product adoption.

Own the client lifecycle for CampusGuard's SaaS and consulting services. Drive onboarding, success planning, platform adoption, compliance outcomes, client health monitoring, risk mitigation, executive business reviews, cross-functional coordination, renewals, and identify expansion opportunities to ensure long-term retention and measurable client value.

Analyze consumer loan operations by building monitoring reports, querying data (SQL/Snowflake), performing root-cause analysis, recommending and implementing operational improvements, managing initiatives end-to-end, and maintaining documentation and stakeholder communication.

Sell services-led technology solutions to SLED (state, local, education) clients nationally. Build pipeline, qualify opportunities, lead capture/procurement, co-sell with partners (Google Public Sector), close complex, multi-stakeholder deals, and maintain CRM/forecasting discipline while representing Nelnet at industry events.

Serve as a bridge between business and technical teams to elicit and document requirements, drive QA activities, develop test plans/scripts, execute functional/regression/UAT testing, report and prioritize defects, and support implementations while ensuring solutions meet business needs and compliance requirements.

Own token economics and cost-optimization for enterprise AI platforms. Instrument LLM workloads, analyze token usage, implement caching/batching and model-tier strategies, build utilization and cost dashboards, recommend and execute cost-saving changes, and translate findings into org-wide best practices.

Own and operate enterprise AI platforms and build/deploy AI Agents across Shared Services. Configure platform integrations (Claude, Copilot, Gemini), maintain reusable assets, enable segments, and apply engineering standards (branching, review gates, CI/CD) for responsible AI deployments.

Monitor and analyze logs in SIEM and observability tools, build/maintain cloud infrastructure, tune detections, investigate alerts, configure logging pipelines (Cribl), participate in change control and audits, maintain security documentation, and stay current on threat intelligence.

Lead development and deployment of machine learning and LLM models, analyze large datasets, build PowerBI dashboards, mentor junior data scientists, and present findings to leadership while automating processes and improving model performance.

Own security and compliance for the Enterprise AI program by building security tooling, policy-as-code guardrails, reusable secure AI components, and observability to detect anomalous model behavior while partnering with Cyber Security and delivery teams.