Staff Product Manager, Design for Manufacturability (DFM)

How You’ll Contribute:

• **Vision & strategy: ** Define and drive a multi-year roadmap for DFM across Xometry — one global workbench enabling both staff and AI reviewers to accelerate the quality and speed of our custom parts production lifecycle. The near-term roadmap starts with foundational work — assigning and routing orders to the right DFM engineer — before scaling into the AI-driven workbench

• Own the Intelligent DFM Workbench: Lead the product that houses the single structured record of what each order requires to be built correctly — the source of truth read and edited by internal Staff, and viewed by Buyers and Partners through role-specific views

• Partner with data science and ML engineering: Work with data science and engineering to improve manufacturability models — 3D geometry analysis, and evaluation of Visual/3D Language Models for part understanding — and to build the champion/challenger and golden-dataset feedback loop that improves record accuracy over time from every workbench review

• **Drive measurable outcomes: ** Define and track the metrics that matter — DFM handle time, sign-off latency, the gap between what's promised on paper and what's actually captured before a job starts, RMA rate, and regional rework — and use them to prioritize the roadmap

• **Lead cross-functionally: ** Act as the hub between Engineering, Data Science, UX, Sourcing, Pricing, Order Systems, Quality, and DFM engineers/case managers, and present strategy, trade-offs, and ROI to executive leadership

What You'll Bring to Xometry:

• 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.