Product Engineer • Mid-Level

Who you are

You have a solid background in geospatial data science and AI, with experience in developing tools and models that leverage spatial data. Your technical expertise allows you to communicate effectively with both technical and non-technical stakeholders, ensuring that product requirements are met. You are familiar with the latest advancements in AI and deep learning, and you have a passion for applying these technologies to solve real-world challenges. You are detail-oriented and have a strong understanding of software testing methodologies, which enables you to design and implement effective test plans. You are also skilled in creating documentation and tutorials that help users understand complex concepts and tools. You thrive in collaborative environments and enjoy working with cross-functional teams to deliver high-quality products.

What you'll do

As a Product Engineer at Esri, you will play a crucial role in the development of geospatial AI tools and models. You will design and implement test plans to validate software and AI models, ensuring they meet the highest quality standards. Your responsibilities will include writing test code, performing thorough testing, and documenting your findings. You will also gather requirements from stakeholders and contribute to the development of best practices for testing and validation. Additionally, you will create tutorials and documentation to help users effectively utilize the tools and models developed by your team. You will collaborate closely with geospatial analysts and data scientists, providing them with the necessary support and resources to leverage AI in their work. Your contributions will directly impact the usability and reliability of Esri's geospatial AI products.

What we offer

Esri offers a dynamic work environment where innovation and collaboration are encouraged. You will have the opportunity to work with cutting-edge technologies and contribute to projects that have a meaningful impact on the world. We provide competitive compensation and benefits, as well as opportunities for professional growth and development. Our team is dedicated to fostering a culture of learning and support, ensuring that you have the resources you need to succeed in your role. Join us in revolutionizing geospatial analysis and making a difference in the field of data science.