Technical Partner Operations Specialist

Use Case Assessment & Enablement

• Evaluate proposed use cases against current platform capabilities.
• Prepare relevant examples and co-lead platform introductions.
• Explore new use cases in the platform and research remote-sensing approaches.

Partner Communications & Coordination

• Review and respond to inbound partner inquiries — keeping communications timely, clear, and well-documented in our CRM tool.
• Surface what needs attention: new opportunities, time-sensitive requests, or open questions worth discussing as a team.
• General administrative and coordination support — meeting summaries, conference proposals, compliance questionnaires.

Product Feedback & Issue Resolution

• Investigate issues reported by partners and communicate them clearly to the engineering team.
• Identify recurring patterns and share them with engineering and research on a regular cadence.
• Support product scoping where partner needs intersect with platform development.

Requirements

• 5+ years in partnerships, customer success, account management, technical program management, or a related role.
• Working experience with geospatial toolsets or platforms (e.g., Google Earth Engine, QGIS, ArcGIS); familiarity with remote sensing, Earth observation, or environmental science.
• Strong written communicator across a range of formats and audiences.
• Comfort navigating technical products and concepts; curiosity and self-driven learning aptitude.
• Ability to operate independently with limited supervision.
• Demonstrates a strong ownership mindset, willing to roll up their sleeves and contribute wherever needed to help the team achieve its goals.
• Effective prioritization and organization skills; demonstrated ability to build repeatable processes and operational systems.
• Uses AI tools to move faster — and knows when to question their output.

Preferred

• Experience in a mission-driven, resource-constrained environment — startup urgency combined with an understanding of how organizations like NGOs, government agencies, and research institutions operate.
• Conceptual familiarity with AI/ML (models, training data, fine-tuning).
• Comfort scanning technical literature to inform a conversation.

Note: Some domestic and international travel is likely.