Jobs at CoLab Software

CoLab is seeking people with mechanical engineering backgrounds for potential future roles spanning customer value management, solutions engineering, forward-deployed engineering, product development, and account executive work. Candidates may apply their engineering experience to customer implementations, technical problem-solving, AI-powered product development, or consultative sales. This is an expression-of-interest posting rather than an active opening. Students should pursue opportunities through university or college co-op and internship programs.

Owns the full sales cycle for strategic Aerospace and Defense enterprise accounts across North America. Closes $200K–$2M+ SaaS deals, manages complex multi-stakeholder buying processes, builds executive relationships, develops account plans, maintains Salesforce pipeline forecasts, and drives renewals and expansions. Requires consultative enterprise selling experience in technical or regulated industries, strong negotiation skills, and the ability to engage engineering, procurement, and executive leaders.

Manage and expand complex enterprise accounts for a SaaS product serving engineering and manufacturing teams. Responsibilities include account planning, mapping stakeholders, identifying expansion and renewal opportunities, demonstrating technical solutions, building customer relationships, documenting activities in Salesforce, and partnering with Account Executives and Customer Success. The role involves strategic enterprise selling, revenue growth, and frequent customer and company-site travel.

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.

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.

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.

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%.

Design and run a scalable customer education program (CoLab Academy) to accelerate time-to-value, build onboarding and certification content, implement an LMS, measure impact on adoption and renewals, and enable CSMs and GTM teams through cross-functional collaboration.