Product Development Manager

4 days ago


Silver Spring, Maryland, United States Xometry Full time

Xometry, a pioneering digital marketplace, is revolutionizing the manufacturing industry with cutting-edge technology. The Principal Product Manager for Manufacturability Intelligence will spearhead the development of Xometry's AI-powered manufacturability analysis capabilities, aligning with our vision of automating and optimizing Design for Manufacturability (DFM) processes.

Key Responsibilities:
  • Product Vision & Strategy
    • Define a compelling vision for the Manufacturability Intelligence platform, integrating AI-driven insights, rule-based engines, and 3D model analysis to enhance customer satisfaction and reduce operational bottlenecks.
    • Develop a strategic roadmap to advance manufacturability analysis capabilities, leveraging machine learning models and data analytics to drive design insights and reduced production risks.
  • Product Development & Execution
    • Lead the development of a manufacturability service providing accurate, real-time feedback on design feasibility, material selection, and process suitability.
    • Collaborate closely with data science and engineering teams to build scalable AI solutions for detecting and interpreting complex geometric features in 3D parts.
  • 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.
  • Cross-Functional Leadership
    • Lead cross-functional teams to deliver innovative manufacturability solutions, driving adoption of new features across internal teams and customers.
    • Present updates, insights, and strategic recommendations to executive leadership, aligning project objectives with overall business goals.

The ideal candidate has 8+ years of product management experience, with at least 5 years focused on AI/ML-powered products or manufacturability analysis tools in the manufacturing or engineering space. They possess a deep understanding of machine learning, data analytics, and computer vision, particularly in the context of 3D modeling and part analysis.



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