Data Studio Lead

We're an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI), an AI copilot for design and manufacturing. Our mission is to reinvent how physical products are designed and built, dramatically accelerating product development.The Data Studio Lead owns the end-to-end process of transforming raw customer data into usable, high quality datasets and insights that power development, evaluation, and delivery. This role sits at the intersection of product, research, engineering, and business teams. You will build and lead a team responsible for data pipelines, labeling workflows, quality assurance, and customer-specific data solutions that either enable our developers and researchers to advance the product or deliver the solution directly to customers.Mechanical engineering or manufacturing design experience is essential; candidates without this background will not be considered.Key ResponsibilitiesData Operations & Delivery:Own the definition and evaluation of output quality, ensuring consistency and accountability across all internal and external datasetsOversee ingestion, cleaning, transformation, and structuring of customer data for AI model training and inferenceBuild scalable processes and frameworks for data labeling, annotation tools, quality checks, and feedback loopsEnsure timely, high quality data delivery for internal R&D and customer deploymentsOwn SLAs, accuracy targets, and "definition of quality" for all datasetsProduct & Solution Leadership: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 solutionsTeam & Process Leadership:Build and lead a Data Studio teamImplement best practices for documentation, quality metrics, repeatable workflows, and complianceDrive continuous improvements in throughput, cost efficiency, and accuracyCross-Functional Collaboration:Work closely with engineering and research teams to define data needs for model training, evaluation, and debuggingCollaborate with BD team to scope data requirements for onboarding and implementationServe as the subject matter expert on data quality, data formats, labeling standards, and customer specific nuances related to manufacturing designCustomer & Project Management:Interface with customers to understand their domain, data structures, and quality expectationsGuide customers through data preparation, schema definition, and ongoing iterationOwn delivery timelines, reporting, and communication for all active data projectsRequired QualificationsDomain expertise in manufacturing design or industrial workflows; mechanical engineering background is requiredHands-on experience with CAD tools (e.g., SolidWorks, CATIA, Siemens NX, Creo) and familiarity with interpreting complex mechanical modelsExperience creating or working with technical documentation such as exploded views, work-step sequencing, GD&T drawings, repair manuals, and similar manufacturing/assembly artifactsAbility to work directly with customers and translate domain problems into data requirementsExperience leading and growing teamsExcellent project management and cross-functional communication skillsPreferred QualificationsFamiliarity with annotation tools and Illustration tools (e.g., Creo Illustrate, Adobe Illustrator, Arbortext)Experience in data operations, data analytics, ML operations, or related fieldsStrong understanding of AI/ML data lifecycle: collection -> labeling -> QA -> training -> evaluation -> deploymentAbility to partner with product managers to shape data tooling and internal UIsExperience in a startup or high-growth tech environmentWhat Success Looks LikeHigh-quality, on-time data delivery for every customer and internal teamsIncreasing automation and decreasing manual effort in the data pipelineClear standards for data quality that align with model performance needsData Studio becomes a strategic partner for customers in automating their workflows