OverviewJoin 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! ResponsibilitiesWork with users and industry experts to identify requirements and workflowsWork with engineering and product teams to define, validate, release, and maintain ArcGIS capabilities across the product lifecycleCollaborate with engineers and stakeholders to build and test ArcGIS Enterprise and Web GIS functionality for graph databases and graph analyticsContribute to the design and testing of capabilities that combine graph, semantic, and spatial data to power agents, assistants, and GeoAI workflowsAssess product quality and release readiness throughout the development processContinue learning and growing while contributing to valuable capabilities for customersRequirements2+ years of experience using an application development language, such as C++, C#, Java, JavaScript, and/or PythonProven experience in software testingKnowledge of ArcGIS and online services, or other GIS productsExcellent written and verbal communication skillsStrong analytical and problem-solving skillsAbility to manage priorities and tasks as needed in a fast-paced work environmentBachelor’s degree in computer science, engineering, GIS, data science, network science, mathematics, or related fieldRecommended QualificationsExperience with knowledge graph, ontology, or semantic data modeling conceptsExperience with graph and relational databasesExperience with graph or link analysis workflowsExperience integrating AI and assistant workflows with graph, semantic, or connected data systemsExperience writing technical documents for a variety of audiencesMaster’s degree in computer science, engineering, GIS, data science, network science, mathematics, or related field#LI-EL1#LI-Onsite OverviewJoin 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! ResponsibilitiesWork with users and industry experts to identify requirements and workflowsWork with engineering and product teams to define, validate, release, and maintain ArcGIS capabilities across the product lifecycleCollaborate with engineers and stakeholders to build and test ArcGIS Enterprise and Web GIS functionality for graph databases and graph analyticsContribute to the design and testing of capabilities that combine graph, semantic, and spatial data to power agents, assistants, and GeoAI workflowsAssess product quality and release readiness throughout the development processContinue learning and growing while contributing to valuable capabilities for customersRequirements2+ years of experience using an application development language, such as C++, C#, Java, JavaScript, and/or PythonProven experience in software testingKnowledge of ArcGIS and online services, or other GIS productsExcellent written and verbal communication skillsStrong analytical and problem-solving skillsAbility to manage priorities and tasks as needed in a fast-paced work environmentBachelor’s degree in computer science, engineering, GIS, data science, network science, mathematics, or related fieldRecommended QualificationsExperience with knowledge graph, ontology, or semantic data modeling conceptsExperience with graph and relational databasesExperience with graph or link analysis workflowsExperience integrating AI and assistant workflows with graph, semantic, or connected data systemsExperience writing technical documents for a variety of audiencesMaster’s degree in computer science, engineering, GIS, data science, network science, mathematics, or related field#LI-EL1#LI-Onsite

• 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