Foundation EGI · 2 months ago
Engineering Data Lead
Boston, MA
Full-time
Hybrid
Lead/StaffFoundation EGI is an MIT-born, venture-backed Silicon Valley startup focused on building Engineering General Intelligence (EGI), an AI copilot for design and manufacturing. The role involves leading the Engineering Data team to transform engineering documentation into training assets for EGI, defining standards and processes to ensure high-quality data management and collaboration with cross-functional teams.
Artificial Intelligence (AI)Generative AIInformation TechnologySaaS
Responsibilities
Own the data roadmap: strategy, milestones, and KPIs for engineering datasets and eval suites aligned to product goals
Define standards & ontologies: modeling conventions, metadata/annotation schemas, GD&T acceptance, PPAP/AS9102 artifacts, and pass/fail criteria
Build gold-standard packages: from CAD artifacts to full documentation sets (drawing bundles, BOMs, specs, WI/SOPs, inspection checklists) for training/benchmarking
Operationalize change control: model ECR/ECO lifecycles, revisioning, traceability, and “as-designed / as-released / as-serviced” states across datasets
Run scalable pipelines: SOPs, templates, data versioning, and release management; stand up QA gates and audits to prevent escapes
Lead the team: mentor 3–6 ICs, manage vendors/contractors, conduct reviews, and raise the quality bar with objective metrics
Partner with ML & Product: translate NPI use cases (e.g., drawing QA, tolerance checks, PPAP readiness) into representative datasets and evals; close the loop with results
Automate where it helps: drive CAD/PLM scripting, parametric generation, and data tooling to speed throughput and improve consistency
Qualification
Required
Background in NPI or documentation-heavy engineering (Manufacturing/Process Eng, ME releasing to production, Technical Publications/Illustration, or PLM/Doc Control)
Proven record of shipping real release packages (drawing sets, BOMs, PPAP, control plans, DFMEA/PFMEA, FAIRs/inspection reports, work instructions, service manuals)
Working knowledge of GD&T (ASME Y14.x) and DFM/DFA applied to release-quality documentation
Hands-on with major PLM/change control (Teamcenter, Windchill, Arena, etc.), ECR/ECO workflows, approvals, audit trails
Comfort collaborating with ML/software teams; crisp documentation and cross-functional communication
Leadership running SOP-driven pipelines and managing vendors/contractors with clear SLAs and QA criteria
Obsessive about data quality: you notice edge cases, ambiguous callouts, and broken traceability
Preferred
CAD automation/parametric generation (NXOpen, Python, Creo macros, FreeCAD) for families of parts and drawing variants
Experience defining ontologies/taxonomies for manufacturing/service concepts
Familiarity with LLM/ML training loops, golden sets, and evaluation frameworks
Exposure to PPAP / IATF 16949 / AS9102 or similar compliance regimes
Company
Foundation EGI
Meet the Al platform to Revolutionize Engineering. We started this company because manufacturing and engineering are overdue for a digital revolution.
Founded in 2023
11-50 employees
H1B Sponsorship
Foundation EGI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Early StageTotal Funding
$29M2025-06-25Series Unknown· $23M
2023-11-08Series Unknown· $6M
Leadership Team
Mok Oh, Ph.D.
Co-founder & CEO
Michael Foshey
Co-Founder
Company data provided by crunchbase