Staff Product Manager, Design for Manufacturability (DFM)

Posted 5 Days Ago
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Waltham, MA, USA
Hybrid
180K-207K Annually
Senior level
Artificial Intelligence
The Role
Own Xometry’s global Design for Manufacturability product strategy and roadmap, including an intelligent DFM workbench, policy-driven workflows, order routing, and AI-powered manufacturability review. Partner with engineering and data science teams to deploy geometry and vision-language models, establish feedback loops, and improve data quality. Coordinate cross-functional stakeholders, define performance metrics, prioritize investments, and communicate strategy and ROI to executives.
Summary Generated by Built In

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Every custom part Xometry quotes has to be checked for manufacturability before it can become a job, i.e. Design for Manufacturing (DFM). As Staff Product Manager for DFM, you will own the strategy and roadmap for how Xometry defines, automates, and scales manufacturability review through AI across all geographies. This is a technical, cross-functional, high-ownership role at the intersection of manufacturing domain expertise, workflow design, and applied AI/ML — a critical component of our overall strategy.

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

The estimated base salary range for new hires into this role is $180,000–$207,000 annually + bonus, depending on factors such as job-related skills, relevant experience, and location. 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.

#LI-Hybrid

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Skills Required

  • 8+ years of product management experience
  • Experience 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 with human-in-the-loop workflows
  • Experience designing policy-driven workflows such as approval routing, tiered sign-off, and escalation logic
  • Ability to operate across regions and stakeholder groups while maintaining global design standards
  • Exceptional written and verbal communication skills
  • Data-driven approach to prioritization, experimentation, and measuring impact
  • Familiarity with manufacturing processes and Design for Manufacturability principles
  • Comfort with geometry-based feasibility rules
  • Experience partnering with data science and ML engineering teams to ship models into production
  • Experience with computer vision, 3D/geometric analysis, or applied LLM/VLM technologies
  • Bachelor’s degree in Engineering, Computer Science, Business, or a related field
  • Advanced degree such as an MBA or MS

Xometry Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xometry and has not been reviewed or approved by Xometry.

  • Healthcare Strength — Core medical, dental, and vision coverage for employees and dependents is highlighted alongside mental‑health resources and an EAP. Feedback suggests many view the health plan as good or flexible, contributing positively to total rewards.
  • Retirement Support — A 401(k) program and company‑paid life/STD/LTD are positioned as core financial protections. Feedback suggests retirement offerings are a consistent component of total compensation.
  • Leave & Time Off Breadth — Flexible time off, paid holidays, volunteer time, and hybrid/remote options expand the time‑away and flexibility toolkit. Feedback suggests this breadth adds meaningful non‑cash value for many roles.

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The Company
HQ: North Bethesda, MD
381 Employees
Year Founded: 2013

What We Do

Xometry is the leading AI-enabled marketplace for on-demand manufacturing, transforming one of the largest industries in the world. With its proprietary technology, Xometry creates a marketplace that enables designers and engineers to rapidly source high-quality on-demand manufactured parts and assemblies. Xometry's innovative platform also empowers sellers of manufacturing services across the nation to grow their businesses. Xometry’s buyers range from self-funded startups to Fortune 100 companies.

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