Top Tech Jobs & Startup Jobs

Lead architecture and implementation for post-order and order-management software. Design scalable, reliable, and secure services; conduct code reviews; mentor engineers; guide technology adoption; and collaborate with product, design, and leadership. The role requires full-stack development across Python, Node.js, React, TypeScript, REST APIs, microservices, and AWS, along with technical leadership in a product-driven marketplace environment.

Lead the architecture, development, and deployment of scalable machine learning systems, including the AI/ML integration connecting Xometry with partner manufacturing platforms. Build real-time ML serving, data pipelines, MLOps, governance, monitoring, and observability. Drive technical roadmaps, optimize latency and throughput, ensure software quality and security, collaborate across engineering and product teams, and mentor engineers while delivering production AI capabilities.

Lead software architecture and implementation for post-order and order-management systems. Write and review architectural plans, develop scalable full-stack services, guide technology decisions, mentor engineers, conduct code reviews, and ensure reliable, secure, high-quality delivery. Collaborate with product managers, designers, and executives to align technical direction with business goals and customer needs.

Own pricing, yield, monetization, retention, and churn analytics for a B2B marketplace. Build supplier yield scores, pricing models, dashboards, predictive churn models, cohort analyses, and A/B tests. Partner with product, operations, engineering, sales, finance, and customer success leaders to translate marketplace data into revenue and retention improvements. Develop production machine-learning models and communicate insights to technical and non-technical stakeholders.

Leads major cross-functional ML and AI initiatives, owns an 18–24-month technical roadmap, and influences engineering, product, operations, and business priorities. Architectures scalable end-to-end ML systems, advances generative AI and 2D/3D modeling capabilities, removes technical and operational obstacles, mentors teams, and drives measurable revenue, cost, quality, and efficiency improvements. Serves as a subject-matter expert for ML infrastructure, data pipelines, model governance, tooling, and production operations.

Lead the architectural evolution of Xometry’s core platform and enterprise integrations. Design scalable, high-performance services embedded in partner PLM environments, integrate production machine-learning pipelines, and enable real-time geometry analysis and procurement workflows. Establish engineering standards, reliability and security practices, data-governance controls, and multi-tenant deployment patterns. Drive cross-functional technical strategy, mentor engineers, influence senior leadership and partners, and oversee execution of major platform initiatives.

Own the strategy, roadmap, and technical direction for Xometry’s Sourcing and Job Board products. Lead marketplace matching, partner offer prioritization, job acceptance funnels, experimentation, KPI analysis, and margin optimization. Collaborate with Pricing and Machine Learning teams, mentor product managers, influence executive stakeholders, and improve marketplace liquidity, match quality, partner engagement, and sourcing performance.

Lead the architecture and development of a native integration between Xometry’s AI-powered marketplace and an enterprise CAD/PLM platform. Build scalable microservices and geometry-processing pipelines delivering real-time manufacturability and pricing insights. Own integration reliability, security, monitoring, and multi-quarter technical roadmaps while partnering with external engineering teams. Mentor engineers, establish AI development standards, and guide cross-team architectural decisions for enterprise-grade marketplace workflows.

Lead the architectural evolution of Xometry’s core platform and enterprise integrations. Design scalable, secure services embedded within partner PLM ecosystems, integrate production ML pipelines for real-time geometry analysis, establish engineering standards, and guide multi-team technical strategy. The role requires influencing senior leadership and external partners, ensuring enterprise reliability, security, governance, and multi-tenant deployment excellence while mentoring engineers and driving strategic initiatives into production.

Lead the architecture and implementation of Xometry’s core platform integration within a partner’s enterprise PLM ecosystem. Design scalable, secure, high-performance services; integrate ML pipelines and real-time geometry analysis; establish engineering standards, reliability practices, and data governance; and guide multi-team execution. The role requires strategic technical leadership, senior stakeholder communication, roadmap ownership, and mentoring across engineering, marketplace, and data science teams.