Imagery Support Engineer

Salary Range: 80000 to 125000 (Currency: USD) (Pay period: per-year-salary)

What You'll Do:

• Imagery Delivery & Performance Tracking:
• Proactively track and manage multiple imagery deliveries across Google Sheets and internal dashboards, ensuring all deadlines and service level agreements (SLAs) are met.
• Monitor and document multiple customer assets to ensure comprehensive coverage and identify the best imagery for client delivery.
• Analyze imagery for quality, carefully evaluating multiple images to determine the optimal selections for client fulfillment.
• Meticulously track and document reasons for non-delivery of images, providing accurate and detailed metrics on fulfillment rates and identifying areas for improvement.
• Support the packaging, formatting, and timely delivery of imagery to clients.
• Work with internal teams to ensure accurate and timely reporting on delivery metrics.
• Strong scripting and coding skills—particularly in Python—are essential for this role. The ideal candidate will have hands-on experience automating data tracking, and imagery QA/QC processes. Coding proficiency is core to streamlining operations, troubleshooting delivery issues, and driving continuous process improvements.
Imagery Quality Assurance:
• Perform visual and technical quality checks on hyperspectral imagery and data products to ensure accuracy and consistency, directly informing delivery decisions.
• Flag and report issues related to data quality, completeness, and delivery standards, ensuring only the best imagery is considered for delivery.
• Customer Support & Success:
• Act as a point of contact for clients, assisting with image delivery, basic troubleshooting, and inquiries related to data products, with a focus on communicating delivery status and addressing any delivery-related concerns.
• Escalate technical issues to engineering and mission operations teams as needed, providing comprehensive context based on delivery metrics.
• Help maintain customer support documentation and assist in onboarding materials, particularly as they relate to delivery processes.
Process Improvement:
• Assist in identifying opportunities to streamline QA/QC and delivery processes, leveraging insights from delivery metrics to improve the overall customer experience.
• Contribute to internal feedback loops to enhance OSK’s imagery products and services, with a focus on improving delivery efficiency and accuracy.

What You'll Bring:

• Bachelor’s degree in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or a related field (or equivalent practical experience).
• Proven ability to manage and synthesize data from multiple spreadsheets (e.g., Google Sheets, Excel) and internal dashboards.
• Familiarity with GIS software (ArcGIS, QGIS) and satellite or aerial imagery.
• Experience with Python, Jupyter, or basic scripting.
• Exceptional attention to detail and a strong commitment to accuracy, especially in tracking and analyzing data.
• Excellent organizational and communication skills—both written and verbal.
• Comfortable working independently and in collaboration with a diverse, fast-paced team, with a proactive approach to problem-solving in delivery.
• Basic technical troubleshooting skills or willingness to learn.

Nice-to-Haves:

• Experience with remote sensing imagery (optical, hyperspectral, multispectral, or similar).
• Interest in space technology, environmental monitoring, or geospatial intelligence.
• Previous experience in customer support, client services, or QA/QC, especially with a focus on data tracking and reporting.

Why Join OSK?

• Pioneering Technology: Be part of a company at the cutting edge of hyperspectral technology, making a real impact on industries and global challenges.
• Growth Opportunity: Join a rapidly expanding team with ample opportunities for professional development and career advancement within the sales organization.
• Impactful Work: Contribute to solutions that address critical issues in sustainability, security, and resource management.
• Collaborative Culture: Work alongside a passionate and innovative team of engineers, data scientists, and industry experts.