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

Lead development of CoLab's simulation review capabilities: ingest and process industry-standard simulation data, build high-performance visualization for large datasets, collaborate with Product and customers, and define architecture and UX for a new Simulation product area.

Lead and coach the engineering team building AutoReview, an AI-powered mechanical design review product. Partner with Product on roadmap planning, feasibility, estimation, prioritization, and timelines. Maintain technical context to identify risks and dependencies, guide initiatives involving DFM checks, assembly analysis, and bulk workflows, and collaborate with applied ML teams. Establish clear ownership, support engineer autonomy, and help the team navigate evolving customer needs and AI technologies.

Embed with enterprise customers to solve mechanical engineering data, integration, and workflow challenges across PLM, ERP, QMS, and design systems. Implement AI-enabled CoLab workflows, validate AI-generated engineering results, identify product gaps, and develop scalable documentation and playbooks. Partner with technical program managers, software engineers, product teams, and customer stakeholders to lead technical projects and improve engineering decision-making.

Lead end-to-end delivery of enterprise customer product programs: scope and sequence deliverables, coordinate Product/Engineering/CS, manage UAT and feedback, track milestones and risks, communicate status and executive-facing updates, and align delivery outcomes to customer value.

Build and maintain integrations connecting CoLab to CAD, PLM, and enterprise systems. Design and implement desktop and web capabilities, troubleshoot PLM/CAD workflows, collaborate with Product and Customer Success, and mentor engineers to deliver scalable, reliable engineering lifecycle software.

Lead expansion and growth within existing enterprise accounts, build and execute strategic account plans, qualify opportunities, coordinate with AE and Customer Success for renewals/expansions, document activities in Salesforce, and travel regularly to customer sites and biannual team meetings.

Build defensible, finance-grade ROI models and business cases for enterprise deals. Collaborate with account teams to quantify engineering and manufacturing value, convert incomplete data into executive narratives, support pilots/POCs, and create scalable value frameworks and enablement for revenue, product, and CS teams.

Develop backend systems for 3D AutoReview, including geometry parsing, model analysis, quality detection, rule systems, scalable APIs, and AI-assisted review workflows. Collaborate with backend, frontend, product, and machine learning teams to deliver production features. Build extensible systems for custom 3D rules and reference data while experimenting with CAD, machine learning, and large language model technologies.

The VP of Software Engineering leads the engineering organization, driving software development, scaling teams, and ensuring compliance with standards while collaborating across functions to support product and customer success.

Serve as trusted advisor for global enterprise customers, lead post-sale adoption and success planning, drive retention and expansion, manage executive engagement and business reviews, mitigate risks, collaborate with Sales and Customer Engineering, use adoption data to measure ROI, and prioritize in-person customer engagement and travel up to 25%.