How you’ll make an impact:
- Drive business outcomes by leading major parts of our platform roadmap, working closely with executive leadership, engineering, data science, and application teams to deliver capabilities that unlock new use cases for our customers
- Own complex technical decisions around our data processing architecture, making informed tradeoffs between business needs and technical constraints while maintaining our platform's reliability and efficiency
- Partner with our data science team to productize AI models, establish clear success metrics, and create scalable deployment processes that maintain accuracy while accelerating the end-to-end time from receiving data to delivering customer insights
- Lead the technical discovery process with customers and internal stakeholders, developing deep empathy for their needs while anticipating future trends and requirements
- Build and maintain strong relationships across teams, acting as a bridge between technical and business stakeholders to ensure alignment on platform direction and priorities
- Define and track success metrics for platform capabilities, ensuring we deliver measurable value to both internal and external customers
- Drive our platform's evolution from supporting individual products to enabling a unified multi-product experience
What we’re looking for:
- Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
- 5+ years of technical product management experience working with AI/ML platforms or data-intensive applications
- Strong understanding of machine learning concepts, data processing pipelines, and cloud infrastructure
- Proven ability to make complex technical decisions and communicate them effectively to diverse stakeholders
- Experience defining and tracking success metrics for platform products
- Strong prioritization skills with demonstrated ability to make tough tradeoffs
- Track record of delivering business impact through technical products
- Excellence in stakeholder management and cross-team collaboration
- Experience with agile development processes and tools (Jira, Confluence)
Preferred Qualifications:
- Experience with diverse geospatial data types including satellite imagery, aerial imagery (from planes/drones), LiDAR, and weather data
- Understanding of data fusion techniques and challenges when working with heterogeneous data sources
- Experience building platform products that serve multiple user personas
- Familiarity with MLOps practices and tools for model deployment and monitoring
- Experience with data pipeline architectures that handle multiple data sources and formats
- Knowledge of cloud platforms (AWS) and distributed computing frameworks
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