Manufacturing AI Product Lead

2 days ago

Bethesda, Maryland, United States Xometry Full time

Xometry, a leading digital marketplace for manufacturers, is seeking an experienced Manufacturing AI Product Lead to spearhead the development of its manufacturability analysis capabilities.

About Xometry

At Xometry, we empower innovation by connecting manufacturers with customers who need their expertise. Our platform streamlines the manufacturing process, enabling businesses to tap into global capacity and drive growth.

Key Responsibilities
  • Product Vision & Strategy
    • Develop a comprehensive vision for our manufacturability intelligence platform, aligning with our goals of scalability, automation, and customer satisfaction.
    • Create a strategic roadmap to advance our manufacturability analysis capabilities, incorporating AI-driven insights, rule-based engines, and 3D model analysis.
    • Identify opportunities to enhance customer experience and reduce operational bottlenecks through automated manufacturability checks and feedback mechanisms.
  • Product Development & Execution
    • Lead the development of a manufacturability service that provides accurate, real-time feedback on design feasibility, material selection, and process suitability.
    • Collaborate closely with data science and engineering teams to build machine learning models and rule-based systems for detecting and interpreting complex geometric features in 3D parts.
    • Oversee the integration of Visual Language Models (VLMs) and 3D Language Models (3DLMs) to enhance part understanding and manufacturability predictions.
    • Partner with UX/UI teams to create intuitive, user-friendly interfaces that display manufacturability feedback and recommendations to customers.
  • Customer & Market Insights
    • Engage with customers, suppliers, and internal stakeholders to gather insights on pain points related to design manufacturability and feedback accuracy.
    • Perform market research and competitive analysis to identify gaps and opportunities in current DFM tools and capabilities.
    • Define and track key performance metrics to measure the impact of manufacturability improvements on customer satisfaction, lead times, and production success rates.
  • Cross-Functional Leadership
    • Lead cross-functional teams including data science, software engineering, operations, and UX to deliver innovative manufacturability solutions.
    • Advocate for and drive the adoption of new manufacturability features across internal teams and customers, emphasizing the benefits of improved design insights and reduced manufacturing errors.
    • Present updates, insights, and strategic recommendations to executive leadership, aligning project objectives with overall business goals.

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