Product Engineer II – Graph Analysis and Semantic Data Modeling

Overview

Join the ArcGIS Knowledge team and build graph and semantic capabilities in Web GIS that help customers model real-world systems and uncover patterns across spatial and nonspatial data. These capabilities support customers ranging from intelligence and public safety, to supply chain resilience and asset management. By combining graph analysis and semantic models with spatial analysis in ArcGIS, you will help customers identify critical nodes and events, uncover new patterns and relationships, and leverage complex data in GeoAI workflows. If you have worked with graph databases, link analysis workflows and semantic models, we would like to hear from you.

In this role, you will work closely with engineers, product managers, and customers to design and deliver graph analysis capabilities that address real-world challenges. Check out these ArcGIS Knowledge Resources and Articles to get a better understanding of the product and it's impact! 

Responsibilities

• Work with users and industry experts to identify requirements and workflows
• Work with engineering and product teams to define, validate, release, and maintain ArcGIS capabilities across the product lifecycle
• Collaborate with engineers and stakeholders to build and test ArcGIS Enterprise and Web GIS functionality for graph databases and graph analytics
• Contribute to the design and testing of capabilities that combine graph, semantic, and spatial data to power agents, assistants, and GeoAI workflows
• Assess product quality and release readiness throughout the development process
• Continue learning and growing while contributing to valuable capabilities for customers

Requirements

• 2+ years of experience using an application development language, such as C++, C#, Java, JavaScript, and/or Python
• Proven experience in software testing
• Knowledge of ArcGIS and online services, or other GIS products
• Excellent written and verbal communication skills
• Strong analytical and problem-solving skills
• Ability to manage priorities and tasks as needed in a fast-paced work environment
• Bachelor's degree in computer science, engineering, GIS, data science, network science, mathematics, or related field

Recommended Qualifications

• Experience with knowledge graph, ontology, or semantic data modeling concepts
• Experience with graph and relational databases
• Experience with graph or link analysis workflows
• Experience integrating AI and assistant workflows with graph, semantic, or connected data systems
• Experience writing technical documents for a variety of audiences
• Master's degree in computer science, engineering, GIS, data science, network science, mathematics, or related field

#LI-EL1

#LI-Onsite