Mechanical Forward Deployed Engineer embedding with enterprise customers to solve PLM, integration, and engineering data challenges. Validating AI results and shaping repeatable CoLab workflows.
Responsibilities
Embed with enterprise customers to optimize CoLab usage, with a focus on AI tools like AutoReview and Operator
Investigate and solve complex engineering data and integration challenges across PLM, ERP, QMS, and traditional design feedback tools
Partner with a cross-functional team to test and implement new CoLab workflows inside customer environments
Collaborate with product teams to identify feature gaps, improve capabilities, and refine AutoReview
Build technical documentation, playbooks, and repeatable frameworks based on successful projects
Provide mechanical engineering expertise to validate AI-generated results and ensure engineering rigor
Requirements
Background in mechanical design engineering, ideally in a medium to large sized organization
Strong understanding of PLM systems and enterprise engineering data architecture
Demonstrated ability to lead technical projects and cross-functional collaborations
Experience working directly with customers or internal stakeholders to solve technical problems
Comfort working in fast-changing, ambiguous environments
Strong written communication and documentation skills
Working knowledge of high-level AI architecture, specifically LLMs
Familiarity with APIs, data integrations, and enterprise architecture concepts
Experience with internal tool development, scripting, or automation (nice-to-have)
Exposure to AI/ML tools applied to engineering workflows (nice-to-have)
Prior work in design consulting or product development at scale (nice-to-have)
Benefits
Stock options
Unlimited paid vacation
Extended health benefits
RRSP/401k matching
Remote-friendly work arrangement within Eastern or Central time zones in Canada or the US
Customer travel component (typically 1–3 days total, one or two times a month)
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