Your space-enabled career begins here

GalaxEye Space is building next-generation Earth Observation (EO) solutions using proprietary multi-sensor technology and advanced data fusion. Our mission is to deliver unprecedented, high-quality, and actionable intelligence through our SAR, Multi-Spectral (MSI), and SyncFused (SAR + MSI fusion) product lines. We are redefining the future of remote sensing.

Role Summary

Key Responsibilities

1. 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.
  

2. 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.
  

3. 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