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

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.

The Technical Product Manager develops and delivers scalable technology solutions, aligns data strategies with business goals, and collaborates on product requirements across teams. This role includes enhancing software systems, driving technical innovation, and mentoring team members while ensuring alignment with industry standards.

The Director of Machine Learning Engineering is responsible for leading AI strategy, overseeing ML solutions, driving innovation, building teams, and ensuring operational excellence in ML systems.

The Director of Data Lake and Integration leads technical strategy for enterprise data lake, aligning with business goals, overseeing data integration and modeling, and ensuring data availability for decision-making.

The Senior People Business Partner engages with leadership to enhance organizational effectiveness, drive talent strategies, and ensure a positive workplace culture amidst changes. They leverage data insights, monitor leadership effectiveness, and partner with HR to deliver strategic HR initiatives that foster growth and improvement.

The Senior Business Strategy Analyst conducts strategic analyses to inform growth and GTM strategy, collaborating with leaders and providing data-driven recommendations based on independent analysis.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

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.

The Supervisor of Analytics Reporting position involves monitoring model performance, developing reports, providing mentorship, and utilizing analytical tools to drive business decisions. Responsibilities include data extraction, reporting on KPIs, and leading the analytics team to achieve business objectives.