About this role
Xometry builds a digital marketplace that connects buyers at Fortune 1000 companies with global manufacturing capacity while giving manufacturers the resources to grow their business. The product analytics team focuses on optimizing product performance, driving strategic decisions, and improving the user experience through rigorous experimentation.
This role centres on measuring, experimenting on, and quantifying the impact of the DFM AI + IQE integration within a partner ecosystem, designing metric frameworks, and tracking the digital thread from ideation to delivery. The person who succeeds here combines deep statistical expertise with strong cross-functional collaboration skills to translate complex data into actionable insights for leadership and engineering teams.
What you will do
- Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement.
- Design, implement, and manage A/B tests, causal analysis, and other experiments with clear hypotheses and success metrics.
- Analyze experiment results using statistical methods to provide detailed reports and actionable recommendations.
- Own the measurement and experimentation strategy for the embedded DFM AI + IQE integration across the in-CAD experience and the marketplace.
- Define key performance indicators and establish robust tracking and reporting mechanisms tailored to PLM and CAD contexts.
- Develop and maintain dashboards to visualize experiment results, key metrics, and trends for various stakeholders.
- Collaborate closely with product managers, engineers, designers, machine learning scientists, and partner engineering teams.
What you need
- Hold a Bachelor's degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or another quantitative discipline.
- Bring 6 to 8 years of relevant professional experience in data-driven roles.
- Demonstrate strong proficiency in data analysis, statistical modeling, and data visualization.
- Possess proven experience in designing, implementing, and analyzing A/B tests and other experiments.
- Maintain a solid understanding of statistical significance and hypothesis testing.
- Have mandatory proficiency in SQL for querying and data manipulation.
- Exhibit excellent communication and presentation skills to explain complex data insights to diverse internal and external audiences.
- Show strong analytical, problem-solving skills and experience working in a product-driven environment.
Nice to have
- Multi-surface or partner-integration analytics experience across embedded experiences, CAD/PLM integrations, and B2B SaaS plug-ins
- Familiarity with CAD, PLM, or manufacturing workflows and comfort talking with designers and manufacturing engineers
- Hands-on experience with quasi-experimental and causal inference methods such as difference-in-differences, synthetic control, CUPED, switchback, and geo-experiments
- Python programming proficiency
- Experience with Looker
Benefits
- 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
- Employee Assistance Program and other wellbeing resources
Skills and tech stack
Questions candidates ask
What is the work arrangement for this position?
This is a hybrid role based in Lexington, KY. The company participates in E-Verify for U.S.-based roles upon acceptance of a job offer.
What tools and technologies will I need to use?
SQL is a must for this role. Python and experience with Looker are nice to have.
What will be the primary focus of my measurement and experimentation work?
You will own the measurement and experimentation strategy for the embedded DFM AI + IQE integration with partners. This includes defining success metrics across the in-CAD experience and the Xometry marketplace.
What level of experience is required for applicants?
Candidates must have a Bachelor's degree in a quantitative discipline alongside 6 to 8 years of relevant experience. Strong proficiency in data analysis, statistical modeling, and A/B testing is required.