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.
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Define and lead the long -term vision, strategy, and roadmap for all data products (raw, Level -1/2 processed, and Level -3+ analytical products).
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Prioritize initiatives across SAR, MSI, and SyncFused products based on market needs, technical maturity, and business goals.
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Conduct competitive and market analysis to identify opportunities where GalaxEye’s sensor fusion provides a unique edge.
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Translate requirements into detailed epics, user stories, and acceptance criteria for Data Science, Data Engineering, and Ground Segment teams.
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Manage the product backlog and oversee agile sprint execution.
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Lead development of data packaging, formats, delivery mechanisms, APIs, and cloud access pipelines.
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Collaborate with Sales and Business Development to collect customer requirements across verticals including defense, infrastructure, and agriculture.
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Work with leadership to develop pricing and data licensing models.
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Support Marketing with strong technical inputs to communicate the value of SAR, MSI, and SyncFused products.
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3+ years of experience in Product Management, including at least 1 year managing Earth Observation, remote sensing, or geospatial data products.
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Technical understanding of at least two<\/b> 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. 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. Competitive compensation Health insurance Flexible work environment Opportunity to shape next -generation space data products High -growth, innovation -driven culture
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<\/p><\/li><\/ul>Preferred Qualifications<\/b>
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<\/div><\/span>Benefits<\/h3>
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