Passer au contenu
Introduction

IBM Sustainability Software helps companies achieve their sustainability goals by infusing data with AI into daily operations enabled by expertise to deliver profit and purpose. This happens in five core areas: sustainability strategy, data, and reporting; energy transition and climate resilience; intelligent assets, facilities, and infrastructure; responsible computing and green IT; and sustainable supply chains and circularity. Each of these areas requires collecting data, making it visible and usable, and then acting on that data to drive sustainability outcomes. IBM offers a strong set of tools and products to support clients in their sustainability journey.

 

As a product manager for Geospatial AI within the IBM Environmental Intelligence product, you will drive the integration of geospatial models and development of tools and processes that enable developers to build custom models. This role will require close collaboration with research, engineering, data science, and customer-facing teams to ensure IBM is a leader in geospatial intelligence and environmental analytics.

Votre rôle et vos responsabilités

  • Geospatial Dataset Strategy Development: Identify the necessary data customers need to build custom geospatial models efficiently. Develop strategies for integrating ground-truth data to improve model accuracy. Define a process for incrementally expanding datasets to address diverse customer use cases and geospatial challenges.

  • Advancing Geospatial AI: Drive the evolution of IBM’s geospatial APIs, ensuring seamless integration with geospatial foundation models and tooling for customization. Collaborate with the research and development teams to embed the latest studio capabilities into Environmental Intelligence.

  • Fine-tuning to support industry model creation: Design scalable methods for fine-tuning geospatial foundation models using open source and ground truth data to improve model accuracy and performance. Develop pathways that enable quick real-world applications of custom models in production.

  • Product Roadmap and Vision: Define and maintain the product vision and roadmap for geospatial foundation models and tooling for customization, ensuring alignment with the developer-first strategy for Environmental Intelligence. Prioritize features and enhancements to meet customer needs, market demands, and technical feasibility.

  • Stakeholder Collaboration: Partner with engineering, data science, and research teams to deliver high-quality, industry-specific models and tooling. Work with sales and CSMs teams to gather feedback and adjust product priorities to address customer challenges effectively.

  • Performance Metrics and Continuous Improvement: Establish key performance indicators (KPIs) to evaluate the impact and success of geospatial foundation models and fine-tuning tools. Leverage usage, customer satisfaction, retention, and use these insights to inform the product roadmap. Continuously monitor industry trends and emerging technologies to maintain IBM’s leadership in geospatial intelligence.

Formation requise
Licence
Formation préférée
Master
Expertise professionnelle et technique requise

  • Bachelor’s degree in Computer Science, Data/ Environmental Science, or a related field

  • 5+ years of experience in technical product management, preferably with APIs, AI/ ML

  • Experience working with technical geospatial APIs/ products, data types, sources, and integration techniques

  • Proven track record of launching, managing and scaling enterprise-grade AI tools designed for large-scale, production-level applications

  • Strong understanding of API technologies, data integrations, foundation models, developer tooling

  • Excellent communication and collaboration skills, with the ability to work cross-functionally in a fast-paced environment with cross-geographical teams

  • Analytical mindset with the ability to interpret market trends, customer feedback, and competitive insights

Expertise professionnelle et technique préférée

  • Experience with agile methodologies and tools (e.g., Jira) and collaborating with engineering teams

  • Master’s degree in Business Administration, Computer Science, or a related field

  • Proficiency in machine learning frameworks and AI platforms (e.g., PyTorch, or similar)

  • Experience managing end-to-end AI product lifecycles, from ideation to deployment

  • Hands-on experience collaborating with data science teams to integrate customer data for model tuning and performance optimization

À propos de la Business Unit

IBM Software insuffle de l'intelligence dans les opérations métier de base, de l'apprentissage automatique à l'IA générative, afin d'aider les organisations à être plus réactives, plus productives et plus résilientes. IBM Software aide ses clients à mettre l'IA en action dès maintenant pour créer une valeur réelle avec confiance, rapidité et assurance dans les domaines du travail numérique, de l'automatisation informatique, de la modernisation des applications, de la sécurité et du développement durable. La capacité d'utiliser toutes les données est essentielle à cet égard, car l'IA ne vaut que ce que valent les données qui l'alimentent. Dans la plupart des organisations, les données sont réparties entre plusieurs clouds, sur site, dans des centres de données privés et à la périphérie. La plateforme d'IA et de données d'IBM met à l'échelle et accélère l'impact de l'IA avec des données fiables, et fournit des capacités de pointe pour entraîner, régler et déployer l'IA dans l'ensemble de l'entreprise. La plateforme cloud hybride d'IBM est l'une des approches les plus complètes et les plus cohérentes en matière de développement, de sécurité et d'opérations dans les environnements hybrides : une base flexible pour exploiter les données, où qu'elles se trouvent, afin d'étendre l'IA au coeur de l'entreprise.

VOTRE VIE CHEZ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

 

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

 

Are you ready to be an IBMer?

À propos d'IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

 

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. 

 

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Autres détails pertinents sur le poste

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience. For additional information about location requirements, please discuss with the recruiter following submission of your application.