Staff Product Manager – AI Quoting Automation

Job Description

Staff Product Manager, Agentic Quoting Tools | Xometry

The Tone:
This is a Staff Product Manager role at Xometry, with a hybrid schedule (3 days a week) in Waltham, MA or North Bethesda, MD. Xometry powers industries by connecting innovative ideas with manufacturing capabilities, enabling Fortune 1000 companies to access global capacity and helping manufacturers grow. This role is crucial for rethinking and optimizing how customer requests transform into priced quotes, directly impacting efficiency and customer satisfaction for Xometry’s most important clients.

The TL;DR
• Role: Full Time
• Type: Hybrid
• Location: Waltham, MA or North Bethesda, MD

• Team: Pricing and Manufacturability (P&M) group; reports to the head of P&M product.
• Mission: Own the end-to-end request-to-quote experience, redesigning the funnel for speed, accuracy, and low-effort quotes.
• Tech Stack: Salesforce, ERP, Cursor, Claude, Figma Make, Model Context Protocol (MCP).

What You’ll Actually Do
• Experience Ownership: Own the end-to-end request-to-quote experience for key customers, mapping and optimizing every step from intake to delivery to improve turnaround time, cost, accuracy, and conversion.
• Funnel Redesign: Redesign the entire quoting funnel, optimizing intake channels and deciding the optimal balance between agent, human, and self-service interactions to ensure structured and partially priced requests.
• Agentic Automation: Lead the roadmap for agentic quoting tools, defining what agents do, what humans confirm, and what stays human, while establishing clear evaluation criteria for AI features.
• System Integration: Own the integration layer (MCP, ERP) that enables seamless work exchange between agents and humans across Salesforce, quoting systems, file storage, and the ERP, designing it as a product surface.
• Staff Tool Development: Build and iterate on internal quote review, pricing, and summary tools, measuring success by team adoption and directly integrating human pricing decisions as structured data for continuous improvement.

The Must-Haves
• Background: Bachelor’s degree in Business, Computer Science, Engineering, or a related field; Staff-level experience (8+ years) in product management with direct ownership of a workflow or operations product in B2B, marketplace, or enterprise contexts.
• Experience: 8+ years of product management experience, including shipping AI or automation into expert human workflows with guardrails, integrating products across CRM, ERP, and messaging systems, and redesigning multi-channel request intake processes.
• Skills: AI-native practice demonstrating AI’s impact on decision-making, hands-on fluency with agentic tools like Cursor or Claude, strong analytical fluency with SQL and dashboard creation, and exceptional written communication.
• Bonus: Direct experience in manufacturing, supply chain, pricing, or quoting, or a proven ability to rapidly learn new operational domains, alongside experience building AI agent integrations with systems of record.