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

About Esri

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.

If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!

Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.