Product Manager

Role Summary

Product Manager

Key Responsibilities

• Product Strategy & Vision
• Define and lead the long-term vision, strategy, and roadmap for all data products (raw, Level-1/2 processed, and Level-3+ analytical products).
• Prioritize initiatives across SAR, MSI, and SyncFused products based on market needs, technical maturity, and business goals.
• Conduct competitive and market analysis to identify opportunities where GalaxEye’s sensor fusion provides a unique edge.
• Execution & Delivery
• Translate requirements into detailed epics, user stories, and acceptance criteria for Data Science, Data Engineering, and Ground Segment teams.
• Manage the product backlog and oversee agile sprint execution.
• Lead development of data packaging, formats, delivery mechanisms, APIs, and cloud access pipelines.
• Market & Customer Engagement
• Collaborate with Sales and Business Development to collect customer requirements across verticals including defense, infrastructure, and agriculture.
• Work with leadership to develop pricing and data licensing models.
• Support Marketing with strong technical inputs to communicate the value of SAR, MSI, and SyncFused products.
  

Requirements

Required Qualifications

• 3+ years of experience in Product Management, including at least 1 year managing Earth Observation, remote sensing, or geospatial data products.
• Technical understanding of at least two of the following:
• Synthetic Aperture Radar (SAR)
• Multi-Spectral Imaging (MSI)
• Strong technical background (e.g., Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science).
• Excellent ability to communicate complex concepts like calibration/validation metrics, sensor physics, and data quality parameters to diverse stakeholders.
  

Preferred Qualifications

• Experience with data fusion techniques (e.g., deep learning–based fusion, mathematical fusion).
• Experience working with cloud-based geospatial processing platforms (AWS, Azure, GCP).
• Knowledge of industry standards such as GeoTIFF, COG, STAC, and EO data pipelines.
• Prior experience in a fast-paced startup environment.
  

Benefits

• Competitive compensation
• Health insurance
• Flexible work environment
• Opportunity to shape next-generation space data products
• High-growth, innovation-driven culture