About
assisted quoting. This role combines engineering workflow understanding, data analysis, and early AI planning, with the intern acting as the key connection between engineering users and a third
party development team.
Responsibilities:
Support UQE enhancements by helping validate new features, catalog updates, and workflow changes through structured testing and feedback.
Work with Application Engineers to learn quoting processes, motor configuration rules, and engineering requirements that influence the tool’s logic.
Assist with data organization, cleanup, and structuring to prepare datasets for future AI and automation capabilities.
Document engineering workflows, decision rules, exception handling, and motor attribute mappings used in the quoting process.
Translate engineering feedback into clear and actionable requirements for the development team.
Track enhancement requests, identify defects, and assist in verifying development fixes.
Collaborate with cross
functional engineering, product, and IT stakeholders to support continuous improvement of the UQE.
Participate in onboarding and training sessions hosted at the Houston, TX headquarters.
Requirements:
Strong analytical and problem
solving skills with an interest in
AI, automation, data
driven systems, or engineering tools .
Effective communication skills for working with both engineering and software development teams.
Organized, detail
oriented, and comfortable working with structured datasets, spreadsheets, and process documentation.
Collaborative mindset with the ability to work in a culturally diverse engineering environment.
EDUCATION/CERTIFICATION REQUIRED:
Pursuing a degree in Computer Science, Data Science, or a related field at an accredited college or university.
Languages
- English
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