Protolabs

Application Engineer

• Provide presales technical support to sales teams and customers on high‑value, non‑standard projects to help secure large‑revenue opportunities.
• Serve as the primary technical liaison for customers from quoting through approved‑sample delivery.
• Collaborate with customers and internal teams (manufacturing, quality, operations, sales) to support projects with non‑standard requirements.
• Translate customer technical requirements, timelines, design flexibility, and volume needs into optimal solutions within Protolabs factory and network capabilities.
• Set and manage internal and external expectations by providing presales guidance on manufacturability, quality, and technical tradeoffs.
• Review customer designs and documentation, identifying required changes to meet application and manufacturing requirements.
• Evaluate project risk by assessing customer requirements, aligning expectations, and ensuring fit with Protolabs manufacturing capabilities and offerings.
• Define, manage, and control project scope, requirements, and changes throughout the project lifecycle.
• Monitor, document, and report project milestones and outcomes to ensure adherence to technical, quality, and schedule requirements.
• Track and report project performance against KPIs such as close rate, revenue, on‑time delivery, and non‑conformances.
• Effectively apply work instructions and supporting documentation when evaluating customer quotes.
• Maintain in‑depth knowledge of Protolabs products, processes, factory capabilities, and network offerings.
• Provide on‑site factory support as needed to coordinate with manufacturing, quality, and operations teams.
• Partner with team leaders to assess data, workload, and capacity to support effective resource planning.
• Drive continuous improvement in work processes, project execution, and individual performance.
• Perform other duties as assigned.

Project Applications Engineer

Data Engineer

• Define and maintain the technical data architecture roadmap, aligned with business and analytics strategy
• Design and implement enterprise data models, schemas, and structures supporting analytical, operational, and reporting use cases
• Architect, build, and maintain semantic layers and reusable data assets to enable consistent, self‑service analytics and visualization
• Lead and contribute to the strategic migration to a modern data lake, including architecture design, data modeling standards, and integration patterns
• Design, develop, test, document, and support data pipelines, transformations, and data access layers of moderate to high complexity
• Perform and participate in data analysis, system design, and architecture reviews in preparation for new data platforms and analytics initiatives
• Provide technical guidance and mentorship to less experienced engineers and analysts as appropriate to responsibility level
• Collaborate effectively with engineers, developers, analysts, product owners, and management across disciplines
• Work from architectural designs and specifications using established standards and best practices to maintain and enhance existing data platforms
• Assist with the design and development of more complex data solutions in partnership with senior technical leaders
• Prepare and maintain architecture documentation, data flow diagrams, and technical standards
• Stay current on data architecture, analytics, and cloud platform best practices

Project Applications Engineer

Data Architect