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

Detect, investigate, and resolve fraudulent and abusive behavior across funded trading programs. Monitor accounts, analyze trade and transaction patterns, review KYC/payment/device data, tune detection rules, document cases, and collaborate with Risk, Payments, Support, and Engineering to prevent repeat fraud and improve systems.

Own pre-sales technical engagement: consult customers, deliver technical presentations and demos (web, iOS, Android), lead POCs, support RFP/RFI responses, manage onboarding and integrations, and advise sales, product, and engineering teams on implementation and value realization.

The Insurance Product Analyst II supports state management for auto insurance products by conducting research, analyses, and executing product launches. Responsibilities include regulatory compliance, data analysis, and communication across teams.

Design, develop, maintain, and support digital asset management and media systems, including automation, integrations, and infrastructure. Develop software and automated tests, manage releases, perform system administration and incident response, conduct reliability improvements, produce architectural documentation, and provide technical direction, mentoring, and continuous improvement for media workflows and metadata operations.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

Drive growth by prospecting and building relationships with crop insurance agents, farmers, and agribusinesses. Recommend and sell crop insurance products, manage proposal and onboarding processes, maintain CRM records, report sales performance, ensure regulatory compliance, and travel extensively within the region (up to 70%).

Lead design and administration of executive and broad-based compensation and equity programs. Support proxy disclosures, compliance, payroll controls, benchmarking, incentive plan design, and governance. Partner with HR, Legal, Finance, Tax, Accounting, Compensation Committee, and external consultants to deliver compensation strategy, analyses, and program administration.

Lead end-to-end SIOP process to align sales, operations, and inventory. Drive demand forecasting, production and capacity planning, and inventory optimization. Monitor KPIs, use analytics to deliver insights, implement continuous improvement, and manage and mentor the planning team to meet customer demand and company objectives.

Design, build, and optimize scalable batch and streaming data pipelines. Model and process structured and unstructured data, ensure production reliability and observability, apply ML techniques for insight extraction, and drive data strategy while adopting modern tooling and IaC practices.

Build, maintain, and improve AI-driven automations and data systems. Own Power BI dashboards and underlying pipelines (Python, SQL, DAX), manage complex margin/profit-share processes, create low-code AI automations (Claude, Zapier, Make), ensure data governance, and document/support solutions for company-wide use.