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2 days ago
Unlocking Location-Based Insights
We're seeking an experienced Product Leader with a deep understanding of geospatial technology to drive the development of innovative products. In this role, you'll define product vision and strategy for AI-driven offerings, collaborating across functions to deliver new features and craft user experiences that unlock location-based insights effectively.
Key Responsibilities- Define Strategic Roadmaps: Evolve the product vision for geospatial AI capabilities, incorporating advanced analysis modules, visualization dashboards, and generative scenario planning tools.
- Craft Customer-Centric Solutions: Engage with users to understand real-world challenges, translating them into product requirements that enhance decision workflows.
- Guide Features from Concept to Launch: Coordinate with data science, engineering, design, and QA to ensure timely, high-quality releases.
- Data-Driven Decision-Making: Leverage metrics, user feedback, and market analysis to prioritize the roadmap and identify new product opportunities, such as scenario simulation or predictive modeling add-ons.
- Collaborate Across Functions: Work closely with sales, marketing, and customer success to align on go-to-market strategies and effectively communicate product value.
- 4+ years of product management experience in SaaS, AI, or data-driven technology; prior exposure to geospatial products is essential.
- Strong technical background, enabling collaboration with data scientists and engineers working on AI model integration and large-scale geospatial data processing.
- Track record of end-to-end product ownership, from user research to product launch in a fast-paced environment.
- Familiarity with GIS stacks (e.g., Esri, QGIS) and an understanding of how AI can be layered on top of geospatial frameworks.
- Superb communication and stakeholder management skills, able to synthesize technical details into clear, compelling narratives for customers and executives.
- Passion for location intelligence and a desire to shape the future of how organizations leverage geospatial insights.
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