- 8+ years of product management experience, including leading AI/ML-powered or technical products in a B2B, marketplace, or manufacturing/engineering environment
- Experience owning a system of record or complex data contract (e.g., a shared record consumed by multiple downstream systems and roles) and the human-in-the-loop workflows built around it
- Experience designing policy-driven workflows (e.g., approval routing, tiered sign-off, escalation logic) rather than single-user tools
- Comfort operating across regions and stakeholder groups to hold a single global design standard, despite real pressure to add customizations
- Exceptional written and verbal communication skills, with the ability to distill technical and operational complexity into a clear narrative for engineers and executives alike
- Rigorous, data-driven approach to prioritization, experimentation, and measuring impact on cycle time, quality, and customer/partner satisfaction
- Familiarity with manufacturing processes and DFM principles (CNC machining, sheet metal, additive manufacturing, injection molding) is a strong plus; comfort getting deep into geometry-based feasibility rules is required
- Track record partnering closely with data science and ML engineering teams to ship models into production — computer vision, 3D/geometric analysis, or applied LLM/VLM experience is a plus
- Bachelor's degree in Engineering, Computer Science, Business, or a related field; advanced degree (MBA, MS) a plus
We also offer a competitive benefits package, including 401(k) match, medical, dental, and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; an EAP; and other wellbeing resources.