Foundation EGI · 1 month ago
Data Studio Lead
United States
Full-time
Remote
Senior LevelFoundation 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 Data Studio Lead is responsible for transforming raw customer data into high-quality datasets and insights, leading a team that ensures data operations and delivery while collaborating across product, research, engineering, and business teams.
Artificial Intelligence (AI)Generative AIInformation TechnologySaaS
Responsibilities
Own the definition and evaluation of output quality, ensuring consistency and accountability across all internal and external datasets
Oversee ingestion, cleaning, transformation, and structuring of customer data for AI model training and inference
Build scalable processes and frameworks for data labeling, annotation tools, quality checks, and feedback loops
Ensure timely, high quality data delivery for internal R&D and customer deployments
Own SLAs, accuracy targets, and 'definition of quality' for all datasets
Partner with Product Managers to shape data-related features, workflows, and tooling (e.g., annotation UI, correction UI, model output review tools)
Translate customer needs into clear data requirements and repeatable solutions
Work closely with engineering and research teams to define data needs for model training, evaluation, and debugging
Collaborate with BD team to scope data requirements for onboarding and implementation
Serve as the subject matter expert on data quality, data formats, labeling standards, and customer specific nuances related to manufacturing design
Build and lead a Data Studio team
Implement best practices for documentation, quality metrics, repeatable workflows, and compliance
Drive continuous improvements in throughput, cost efficiency, and accuracy
Interface with customers to understand their domain, data structures, and quality expectations
Guide customers through data preparation, schema definition, and ongoing iteration
Own delivery timelines, reporting, and communication for all active data projects
Qualification
Required
Prior exposure to manufacturing design or industrial workflows; mechanical engineering background is required
Hands-on experience with CAD tools (e.g., SolidWorks, CATIA, Siemens NX, Creo) and familiarity with interpreting complex mechanical models
Experience creating or working with technical documentation such as exploded views, work-step sequencing, repair manuals, and similar manufacturing/assembly artifacts
Ability to work directly with customers and translate domain problems into data requirements
Experience leading and growing teams
Excellent project management and cross-functional communication skills
Preferred
Familiarity with annotation tools and Illustration tools (e.g., Creo Illustrate, Adobe Illustrator, Arbortext)
Experience in data operations, data analytics, ML operations, or related fields
Strong understanding of AI/ML data lifecycle: collection -> labeling -> QA -> training -> evaluation -> deployment
Ability to partner with product managers to shape data tooling and internal UIs
Experience in a startup or high-growth tech environment
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