Principal Product Manager – AI Manufacturing
| Company | Xometry |
|---|---|
| Location | Denver, CO, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, MBA |
| Experience Level | Senior, Expert or higher |
Requirements
- 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.
- Proven track record of leading the development and launch of successful B2C, B2B or enterprise SaaS products in the manufacturing, e-commerce, or marketplace sectors.
- Deep understanding of machine learning, data analytics, and computer vision, particularly in the context of 3D modeling and part analysis.
- Experience working closely with data scientists, ML engineers, and software development teams to develop scalable AI solutions.
- Familiarity with manufacturing processes (e.g., CNC machining, 3D printing, injection molding) and DFM principles is a plus.
- Exceptional communication and stakeholder management skills, with a proven ability to drive alignment across diverse teams and functions.
- Strong analytical and problem-solving skills, with a focus on deriving insights from complex data and customer feedback.
- Highly organized, with excellent project management skills and a demonstrated ability to execute on ambitious product roadmaps.
- Bachelor’s degree in Engineering, Computer Science, Business, or a related field. An advanced degree (MBA, MS) is a plus.
- Must be a US Citizen or GC holder.
Responsibilities
- Define and communicate a compelling vision for the Manufacturability Intelligence platform, aligning with Xometry’s broader goals of scalability, automation, and enhanced customer experience.
- Develop a strategic roadmap to advance our manufacturability analysis capabilities, incorporating AI-driven insights, rule-based engines, and 3D model analysis.
- Identify key opportunities to enhance customer satisfaction and reduce operational bottlenecks through automated manufacturability checks and feedback mechanisms.
- 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.
- 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.
- 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.
Preferred Qualifications
- Familiarity with manufacturing processes (e.g., CNC machining, 3D printing, injection molding) and DFM principles is a plus.
- An advanced degree (MBA, MS) is a plus.