Xometry

Data Scientist

• Own and drive an 18-24 month technical roadmap that balances innovation with disciplined business value delivery.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing.
• Provide technical leadership to the Generative AI team, setting technical direction and defining best practices.
• Influence the roadmaps, priorities, and resourcing of partner engineering, product, and business teams.
• Serve as the technical architect for the embedded DFM AI + IQE track, leading the integration of Xometry’s proprietary AI directly into the Siemens ecosystem.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Serve as a respected subject matter expert and mentor to scientists and engineers across the organization.

Principal Data Scientist – Gen AI

• Own and drive an 18-24 month technical roadmap that balances innovation with disciplined business value delivery.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Influence the roadmaps, priorities, and resourcing of partner engineering, product, and business teams.
• Serve as the technical architect for the embedded DFM AI + IQE track, leading the integration of Xometry’s proprietary AI directly into the Siemens ecosystem.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Serve as a respected subject matter expert and mentor to scientists and engineers across the organization.

Engineer

• Own Our Recovery Architecture
• Design and build our Isolated Recovery Environment — a hardened AWS account with immutable vaults that break the attacker’s kill chain before it reaches our data.
• Threat model our environment with a deep understanding of cloud-native attack patterns: IAM privilege escalation, backup deletion, ransomware persistence, and lateral movement across accounts.
• Validate and continuously improve backup configurations to ensure recoverability, not just existence.
• Standardize and Automate Infrastructure
• Lead our transition to 100% Infrastructure as Code. Every asset (VPCs, IAM roles, security groups) must be defined in Terraform so we can redeploy the entire stack into a clean account via automated pipeline.
• Build automated recovery workflows that can tear down a compromised environment and bootstrap a fresh, hardened one from verified code and clean data.
• Write and maintain executable recovery playbooks that detail the exact API calls and CLI commands needed to restore the application — tested, versioned, and runnable, not static documents.
• Validate, Test, and Lead Exercises
• Develop automated scripts (Python or Go) to smoke test recovered data and validate integrity post-restoration.
• Lead regular hands-on recovery drills that simulate total loss of a critical environment and full recovery into a secondary clean account. Own the after-action process and drive improvements.
• Drive Engineering Standards
• Act as the resilience authority for the engineering organization — shaping high-availability architecture decisions, influencing design reviews, and raising the floor on how we think about recoverability.
• Partner with the Site Reliability Engineering team on multi-region deployments and high-availability design, ensuring cyber resilience is embedded in architecture from the start.
• Champion IaC and immutable infrastructure practices across teams, not just within your own workstream.

Staff Cyber Resilience Engineer

Account Manager

• Optimize partner performance by analyzing data.
• Identify performance/training gaps and develop strategies.
• Create and implement partner certification programs.
• Manage the Partner Outsourcing Group program.
• Develop tailored training and coaching programs.
• Manage operational escalations.
• Lead initiatives to reduce partner churn.
• Serve as the ITAR conversion leader.
• Conduct on-site assessments for best practices.
• Maintain comprehensive training records.
• Collaborate with marketing teams on acquisition strategies.
• 20-25% travel required.

Partner Manager, CNC & Sheet

Lead Generation

• Build and maintain the company’s core prospect and contact database.
• Identify and pull large-scale prospect lists based on Ideal Customer Profiles (ICPs).
• Utilize internal and external tools to enrich thousands of records with firmographic, technographic, lead scoring, and contact data.
• Cleanse large datasets to remove duplicates and inaccuracies.
• Develop process to re-score, rest, and re-distribute prospects.

Principal Data Scientist – Gen AI

Principal Data Scientist – Gen AI

Staff Cyber Resilience Engineer

Partner Manager, CNC & Sheet

Sales Analyst, Prospecting and Pipeline