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

Define and execute predictive modeling and ML strategy for credit risk, servicing, and collections. Lead cross-functional initiatives, oversee model development, deployment, and monitoring, advise senior leadership on data strategy, represent analytics in regulatory and audit forums, and mentor peers while fostering organizational partnerships.

Lead and execute ML/AI strategy, design and deploy production-grade ML and GenAI solutions, mentor MLEs, collaborate with cross-functional teams, and build scalable, secure ML/LLM platforms and inference pipelines to drive business impact.

Lead and develop Directors of Sales across assigned Southeast districts to drive sales performance, P&L results, dealer relationships, and market strategies. Translate regional strategy into actionable market plans, use data to monitor performance, coach leaders, manage expenses, and partner cross-functionally to improve organizational health and execution.

Lead and develop Directors of Sales across assigned districts to drive sales, dealer relationships, and P&L performance. Translate regional strategy into market plans, enforce execution discipline, coach leaders, manage performance and expenses, and partner cross-functionally to improve market results and organizational health.

The Senior Analyst in Predictive Analytics and Machine Learning develops and maintains statistical models to support business decisions, monitors model performance, and collaborates with stakeholders across the company.

Lead design, deployment, and monitoring of predictive models for credit risk, collections, and operations. Drive adoption of modern ML and MLOps, mentor data scientists, define strategic roadmap, advise senior leadership, and ensure model governance and regulatory compliance.

Lead and develop Directors of Sales across assigned districts to execute regional strategies, drive dealer relationships, meet sales and P&L targets, and build leadership capability. Use data and market insights to improve performance, manage expenses, enforce accountability, guide organizational design, and partner cross-functionally to implement change and tools. Frequent travel required to support field execution.

The Senior Data Modeler designs and maintains data models, supports AI-driven practices, and collaborates on data lifecycle processes. Responsibilities include translating business needs into data structures, ensuring data governance, and supporting analytics and AI use cases.

Design, build, and deploy enterprise-scale AI systems (agents, retrieval/RAG, generative AI) and reusable platforms. Own end-to-end solutions from discovery through production, testing, observability, and mentoring, driving architecture, standards, and cross-team adoption.

Lead design, build, and production deployment of ML and GenAI solutions (LLMs, RAG, multi-agent systems, recommender and RL models). Architect scalable, secure inference and MLOps pipelines, mentor MLEs, collaborate with stakeholders to define roadmaps, and measure model performance and business impact. Implement fine-tuning, retrieval, orchestration, and monitoring for enterprise-grade AI products.