From Concepts to Reality
Who are we?
Intercax is a trailblazing provider of digital engineering technology and solutions that transform products and programs. Its flagship product Syndeia® is the digital thread platform that connects diverse digital models and data silos into live digital threads, resulting in seamless collaboration, data consistency, real-time project dashboards, audit trails, and quantitative decision-making. From spacecraft and avionics to automotive, energy, healthcare, and manufacturing, Intercax’s digital thread technology is paving the future of digital engineering. Intercax is a fast-moving, high-performing, close-knit, and geographically distributed team of passionate engineers looking to make a difference. To learn more, visit www.intercax.com.
Location
This is a fully remote position. Candidates can work from anywhere in the US but must be available during regular business hours for internal and customer interactions.
Roles and Responsibilities
As the Client Engagement Manager – Digital Engineering at Intercax, you will play a major role in working closely with clients to ensure that our products and solutions lead to their digital engineering success. Your role will include the following:
Qualifications and Skills
Good to have
Opportunity at Intercax – Fast-paced, Flexible, Learning, and Customer-Focused Environment
You can email your resume to jobs@intercax.com with the subject: “Client Engagement Manager – US”. You can include links to certifications and achievements that you may have. Send us any relevant information that promotes your candidature for this position. We will be happy to respond within 2-3 days to schedule an interview if you are selected.
Take the first step in your transformation
Modern engineering uses computer models and systems engineering (SE) is following this pattern. The basis of Model-Based Systems Engineering (MBSE) is that the system can be captured in a single unified computer model, a single source of truth from which all required SE views and artifacts can be generated. Good MBSE practices can reduce errors and ambiguity, shorten development times, and improve collaboration between disciplines.