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

Design and implement AI agents, plugins, automations, and enterprise integrations for HR Technology platforms. Lead requirements gathering, technical analysis, solution design, testing, documentation, deployment, security, and data integrity efforts across HR, IT, and business stakeholders. Integrate platforms including ServiceNow, Workday, and other enterprise applications while supporting the HR automation and AI roadmap.

Leads aftersales performance across a regional dealership territory, driving revenue, customer retention, customer satisfaction, and KPI achievement. Advises dealer leadership, executes Customer Care and Aftersales initiatives, develops business plans, analyzes dealership performance, improves service operations, and resolves customer concerns. The role requires extensive field travel, automotive service and parts expertise, data analysis, consultative influence, and autonomous decision-making.

Serves as the primary field representative for OnStar, connected services, loyalty programs, and subscription offerings across assigned dealerships. Builds dealer relationships, coaches sales and service teams, delivers training, analyzes performance data, develops action plans, supports product launches, troubleshoots technology platforms, and improves customer onboarding and loyalty. Requires up to 90% travel within the assigned territory and frequent dealership visits.

Provides on-site automotive technical support to GM dealerships and wholesale teams. Diagnoses vehicle and Techline issues, resolves escalated cases, supports repair and repurchase prevention, reviews dealership service readiness, trains personnel, troubleshoots IT and diagnostic tools, and reports product concerns to GM engineering and quality teams. The role manages territory relationships, supports arbitration and legal cases, and requires frequent travel, extensive automotive diagnostic experience, and strong customer and technical communication skills.

Manages ACDelco sales and distribution across an assigned territory. Responsibilities include soliciting orders, growing aftermarket and fleet sales, developing customer relationships, directing sales representatives, executing marketing programs, maintaining inventories, supporting training, monitoring account compliance, analyzing market conditions, and contributing to forecasting and business planning. The role is field-based, requires frequent travel to dealerships, and involves attending trade events and managing customer and distribution activities.

Manage GM dealership relationships across the Charlotte territory, driving vehicle and accessory sales, EV adoption, customer satisfaction, inventory performance, training compliance, and business growth. The role includes dealer consulting, sales and market analysis, product launch support, issue resolution, and frequent field travel of at least 50%, up to 75%.

Leads the strategy, validation, and safety assurance of Level 3–4 autonomous driving behaviors powered by machine learning. Owns behavior-related safety cases, standards alignment, ODD and evaluation frameworks, safety metrics, launch-readiness assurance, and evidence assessment across simulation, closed-course, and public-road testing. Leads cross-functional technical collaboration and builds a high-performing AV behavior safety engineering team through hiring, coaching, and development.

Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.