
Product Leadership Role
3 days ago
Product Leadership Role
We are seeking a skilled Product Manager with expertise in geospatial technology to lead our product development. In this role, you will define the product vision and strategy for our AI-driven offerings, work cross-functionally to deliver new features, and craft user experiences that empower customers to leverage location-based insights effectively.
Key Responsibilities:
- Define Product Roadmaps: Own and evolve the strategic product vision for geospatial AI capabilities—e.g., advanced analysis modules, visualization dashboards, and generative scenario planning tools.
- Customer-Centric Development: Engage with users (enterprises, governments) to understand real-world challenges and translate them into product requirements that improve decision workflows.
- End-to-End Feature Ownership: Guide features from concept to launch—coordinating with data science, engineering, design, and QA to ensure timely, high-quality releases.
- Data-Driven Decision-Making: Use metrics, user feedback, and market analysis to prioritize the roadmap and identify new product opportunities, such as scenario simulation or predictive modeling add-ons.
- Cross-Functional Leadership: Collaborate closely with sales, marketing, and customer success to align on go-to-market strategies and effectively communicate product value.
- Platform Evolution: Drive continuous improvement of the user experience, focusing on intuitive interfaces for exploring complex spatial data, building custom AI models, and generating actionable insights.
- A minimum of 4 years of product management experience in SaaS, AI, or data-driven technology; prior exposure to geospatial products (GIS, mapping tools, location analytics) is essential.
- A strong technical background—enough to collaborate seamlessly with data scientists and engineers working on AI model integration and large-scale geospatial data processing.
- A 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.
- A passion for location intelligence and a desire to shape the future of how organizations leverage geospatial insights.
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