Top Senior Level Jobs in Denver & Boulder, CO

Manages instructional design projects from initiation through evaluation, including curriculum design, content validation, training pilots, material updates, and program launches. Collaborates with subject matter experts, stakeholders, and vendors while leading and mentoring instructional designers. Uses instructional design methodologies, authoring tools, LMS platforms, needs analysis, project management, and training evaluations to deliver effective employee learning solutions.

Analyzes broadband, customer, product, and marketing data to evaluate campaign performance, acquisition, retention, segmentation, channel effectiveness, and ROI. Develops dashboards, reporting frameworks, analytical models, and executive presentations. Partners with Marketing, Product, Data Science, Finance, Sales, and Technology teams to define KPIs, measurement approaches, and actionable recommendations that improve business performance and customer experience.

Leads AI engineering teams building and scaling production-grade agentic AI applications, multi-agent systems, LLM orchestration, and intelligent workflows. Oversees Databricks on AWS platform operations, architecture, security, and optimization. Establishes engineering standards for Python development, testing, CI/CD, and DevOps/DataOps, while partnering with Product teams on execution. Manages engineering leaders and staff, drives hiring and mentorship, and shapes the organization’s AI technical direction.

Lead strategic sourcing for marketing categories, including agency, media, and creative services. Execute RFP, RFQ, and RFI events; negotiate and draft complex contracts; analyze spend; recommend suppliers to executives; partner with Legal, Finance, and business units; standardize sourcing processes; and apply AI-enabled procurement tools to improve efficiency, compliance, and cost optimization.

Leads the enterprise AI product portfolio, including a unified AI Core Platform with LLM gateways, retrieval systems, and agentic frameworks. Manages and mentors Product Managers while partnering with Data Science, Engineering, UX, Legal, and Governance teams. Establishes AI product methodologies, evaluates use cases, drives digital transformation, and governs ethical deployment, privacy, security, bias mitigation, and human oversight. Uses telemetry, SQL, and visualization tools to measure model performance, costs, and productivity.

Provides systems engineering leadership for spacecraft and mission programs, managing requirements development, allocation, traceability, verification, validation, and change management across the program lifecycle. Uses MBSE and requirements database tools, supports major design reviews and integration activities, coordinates multidisciplinary teams, manages risks and opportunities, presents to customers and leadership, and mentors other systems engineers. The role is performed onsite five days per week and may involve laboratory, production, cleanroom, or outdoor environments.

Leads project engineering activities for space communications subsystems, including cost and schedule projections, execution oversight, vendor performance, proposal support, technical trades, documentation, and customer presentations. Collaborates with program managers, systems engineers, supply chain teams, vendors, and customers to deliver conforming hardware and meet technical, cost, and schedule objectives across civil and defense space programs.

Lead and support assembly, integration, and test (AIT) of in-space propulsion systems with emphasis on pressurized fluid systems. Generate and execute test procedures, develop assembly/integration flow plans, manage resources and GSE, troubleshoot spaceflight hardware, and support propulsion during launch and commissioning campaigns while working on multidisciplinary teams.

Design, implement, and scale core operational workflows; drive execution strategy and automation; perform data-driven analyses; and lead cross-functional efforts with product, engineering, payer, and CX teams to improve efficiency and operational health.

Lead the technical vision and execution for Toast IQ, an AI platform using LLMs and agentic workflows. Manage and mentor engineering teams, establish AI architecture and toolchain standards, maintain internal developer platforms, translate strategy into roadmaps, and deliver scalable backend, web, and mobile experiences. Partner with Product and Design to create customer-focused AI capabilities while balancing experimentation, quality, and platform stability.

Lead product strategy and roadmap for a new venture from MVP through product-market fit and scale. Own outcome briefs, weekly planning, customer research, prioritization, success metrics, and launches. Partner closely with engineering, design, sales, marketing, support, and operations to simplify workflows, validate customer value, and build scalable onboarding, reliability, self-service, and integrations. Use data and AI tools to guide decisions, prototype, research, and improve product outcomes.

Build and scale mission-critical tips, earnings, and payroll platforms for restaurant employees. Own systems end to end, lead complex projects from design through deployment, improve reliability and correctness, collaborate with product and design, review code, mentor engineers, and deliver scalable backend services that affect employee pay and product revenue.

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.

Lead complex presales engagements for API Management and digital ecosystem solutions. Design API-first architectures spanning API lifecycle management, security, integration, MDM, microservices, and event-driven systems. Advise executives, lead proofs of concept, coordinate specialists, answer RFI/RFP requirements, and demonstrate the business value of Boomi’s platform. Serve as a trusted technical advisor on secure API gateways, developer portals, data governance, and AI-driven APIs.

Owns Ursa Major’s long-range planning strategy, multi-year thesis, scenario and market modeling, quarterly business reviews, portfolio planning, KPI dashboards, and planning-tool roadmap. Partners across Finance, Engineering, Operations, Programs, and Business Development to connect strategic priorities with demand, capacity, investment, and financial plans. Leads continuous improvement, supports executive decision-making and change management, and manages a Strategy Analyst.

Leads the design, integration, troubleshooting, and maintenance of avionics automated, special, and electrical ground support test equipment. Spends approximately half the role on hands-on test engineering and half leading a small team, coordinating schedules, managing risks, improving processes, and collaborating across engineering, manufacturing, quality, supply chain, and program management. Supports qualification, environmental, production acceptance, and hardware/software integration testing for complex aerospace and defense electronics.

Leads propulsion tank architecture from concept through qualification for hypersonic and high-performance aerospace vehicles. Responsibilities include fluid and mechanical tank design, subsystem integration, requirements definition, testing, data analysis, risk mitigation, technical reviews, and cross-functional collaboration. The role serves as the technical authority for tanks and interfaces while providing mentorship and technical leadership.

Own security risk identification, quantification, prioritization, and remediation across third-party risk, assessments, and security findings. Maintain risk registers, reporting, metrics, and remediation tracking while partnering with technical and business stakeholders. Lead AI risk management for ISO 42001 certification and build automation, scripting, and AI-enabled tools to improve GRC workflows. Monitor emerging risks, frameworks, regulations, and threat trends, communicating business-relevant risk insights to leadership.

Leads the design, development, implementation, and support of scalable data solutions across multiple applications and platforms. Responsibilities include data requirements analysis, ETL/ELT development, data modeling, migration and transformation, workflow orchestration, performance optimization, data quality, pipeline monitoring, and production support. The role also provides technical leadership through coding standards, code reviews, mentorship, and engineering best practices.