Senior Product Manager, ML Pricing

Brazil (Remote), Argentina (Remote)

Xometry

Xometry is a leader in high-precision production part and prototyping manufacturing on demand. Get instant quotes on CNC machining, 3D printing, sheet metal fabrication, laser cutting, and more.

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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.

Senior Product Manager, AI Pricing Engine

About the Role

Xometry is seeking a Senior Product Manager to lead the development and execution of Xometry’s dynamic pricing engine, a core pillar of our AI-driven manufacturing platform. You will be at the forefront of shaping our pricing strategies, using advanced machine learning models to deliver precise, real-time pricing and lead-time predictions for custom manufacturing jobs. This role offers a unique opportunity to innovate within a fast-paced environment, working closely with cross-functional teams including data science, engineering, operations, and customer experience. This is a 1-year contract.  

Key Responsibilities:

  • Product Vision & Strategy
    • Define and communicate a compelling product vision and strategy for the AI Pricing Engine, aligned with Xometry's long-term business goals.
    • Develop a roadmap to enhance pricing accuracy, optimize gross margins, and improve customer quote conversion rates.
    • Lead initiatives to create a more dynamic, scalable, and automated pricing system capable of handling a wide range of manufacturing processes (e.g., CNC machining, 3D printing, injection molding).
  • Product Development & Execution
    • Collaborate with data scientists and ML engineers to build, validate, and iterate on machine learning models for cost and lead-time estimation.
    • Drive the integration of new features such as part complexity analysis, DFM (Design for Manufacturability) insights, and real-time market data inputs to enhance pricing accuracy.
    • Partner with software engineering teams to develop APIs, rule engines, and scalable backend systems that support real-time quoting.
    • Oversee A/B testing and experimentation using advanced techniques like multi-arm bandit testing to optimize pricing strategies and user experience.
  • Customer & Market Insights
    • Engage with customers, sales, and operations teams to gather feedback on pricing accuracy, usability, and pain points.
    • Perform market research and competitive analysis to identify opportunities for differentiation and continuous improvement in pricing capabilities.
    • Define and track key performance indicators (KPIs) to measure the impact of pricing engine enhancements on customer satisfaction, conversion rates, and revenue growth.
  • Cross-Functional Leadership
    • Lead cross-functional teams across data science, engineering, operations, and UX to deliver innovative solutions and meet roadmap milestones.
    • Advocate for and drive the adoption of AI-powered pricing enhancements across internal teams and partner with stakeholders to scale the platform’s capabilities.
    • Present progress updates, insights, and strategic recommendations to executive leadership, aligning project objectives with overall business goals.

Qualifications:

  • Experience:
    • 5+ years of product management experience, with at least 3 years focused on AI/ML-powered products, pricing engines, or complex data-driven platforms.
    • 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.
  • Technical Skills:
    • Strong understanding of machine learning concepts, data analytics, and experimentation methodologies (e.g., A/B testing, multi-arm bandit testing).
    • Experience working closely with data scientists, ML engineers, and software development teams to build scalable products.
    • Familiarity with manufacturing processes (e.g., CNC, 3D printing, injection molding) and design for manufacturability (DFM) principles is a plus.
  • Soft Skills:
    • Excellent communication and stakeholder management skills, with a proven ability to influence and drive alignment across teams.
    • Strong analytical mindset, with the ability to derive insights from complex data sets and make data-driven decisions.
    • Highly organized, with strong project management skills and a bias toward execution.
  • Education:
    • Bachelor’s degree in Business, Engineering, Computer Science, or a related field. An advanced degree (MBA, MS) is a plus.

Why Xometry?

  • Be part of a rapidly growing company that is revolutionizing the manufacturing industry with cutting-edge technology.
  • Collaborate with a diverse, talented, and driven team committed to innovation and excellence.
  • Enjoy a flexible, remote-friendly work environment with opportunities for growth and professional development.

#LI-Remote

Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing APIs Computer Science CX Data Analytics E-commerce Engineering KPIs Machine Learning Market research ML models Research Testing UX

Perks/benefits: Career development Flex hours Startup environment

Regions: Remote/Anywhere North America South America

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