Top Senior Level Jobs in Denver & Boulder, CO

The Principal Product Manager, Growth at CertifID will focus on improving customer activation and expansion, conducting customer interviews, and running experiments based on data-driven insights to enhance product usage and satisfaction.

Lead and mature detection and incident response lifecycle, run day-to-day SOC operations, manage on‑call readiness, drive SIEM detections and automation, coordinate cross‑team responses, maintain playbooks and run readiness exercises, mentor analysts, and ensure regulatory and post‑incident improvements.

Partner with US managers to raise leadership quality and team performance through coaching, early employee-relations intervention, accountability-setting, and risk spotting. Operate closely with frontline teams (including some travel), escalate appropriately, and strengthen manager capability with commercial judgment, clear feedback, and high standards.

Lead development and lifecycle management of supplemental health insurance products (Critical Illness, Cancer, Accident, Hospital Indemnity). Drive market research, competitive analysis, go-to-market plans, and cross-functional launches working with Pricing, Contracts, Operations, Technology, Training, and Sales to deliver product strategy and execution.

Design, build, and maintain cloud-based data pipelines, lakes, lakehouses and warehouses for batch and real-time processing. Optimize SQL and data models, provide production support, and deliver BI applications while following Agile practices.

Manage full cycle recruitment for senior executive roles, partnering with leaders to define requirements, negotiate offers, and advise on talent trends.

The Senior Engineer will architect self-healing infrastructure, design AI orchestration workflows, automate incident resolution, and establish AI best practices, focusing on Generative AI and observability.

Lead process optimization, quality control, and maintenance initiatives for aerospace manufacturing. Implement validation, reliability-centered maintenance, and manufacturing/maintenance management software. Mentor junior staff and lead cross-functional projects to improve efficiency and reduce downtime.

The Sr Master Scheduler manages production schedules, ensures material availability, and leads demand/supply planning while utilizing advanced scheduling tools and data analysis.

The Manufacturing Engineer III leads process optimization projects, develops quality control measures, and enhances manufacturing processes while collaborating across teams.

Lead development and implementation of warehouse automation strategies to optimize supply chain operations. Analyze processes to identify improvements and cost reductions, advise clients on technology and data analytics, and manage large-scale projects and multi-level teams. Apply systems thinking, validate outcomes with clients, and coach high-performing diverse teams while modeling firm standards.

Lead development of AI and ML solutions for healthcare systems, overseeing teams, driving use case development, and ensuring operational excellence while managing global delivery operations.

Lead and develop a team of Technical Support Engineers to manage day-to-day support operations, escalations, SLA adherence, and tooling. Partner with Engineering, Product, and Customer Success to resolve API, integration, SSO/SCIM, and cloud-related issues, improve processes and runbooks, drive metrics-informed improvements, and scale global support coverage and enablement.

The role involves strategizing and architecting digital commerce experiences, managing data structures and models, and supporting AI integration. Responsibilities include partnering with product teams, designing customer journeys, and running experiments to improve commerce performance.

As a Senior Software Development Engineer, you will design, develop, and support software in a service-oriented architecture and guide customer teams in adopting software best practices while collaborating within Agile frameworks.

The Mission Director will lead mission operations, manage teams, ensure mission success, coordinate with various stakeholders, and handle incident management.

The Staff Applied AI Engineer will develop decision intelligence systems using machine learning and optimization, focusing on improving planning decisions and operational efficiency. Responsibilities include building models for revenue attribution, designing decision-support systems, and ensuring security in AI-driven capabilities.