Salary
💰 $91,910 - $114,870 per year
Tech Stack
PythonRemote SensingTypeScript
About the role
- Build and deliver presentations and product demonstrations highlighting Planet’s platform and technical capabilities
- Create relationships with customers’ technical and management staff as a trusted advisor
- Act as an advisor to recommend solutions architecture that fits customer business challenges
- Assist with responses to tenders, RFIs, RFPs, and proposals with respect to product/solution information
- Work with sales team colleagues to determine account development plans and execute engagement strategies
- Collaborate with Customer Success, Product Management, Professional Services, and Business Development as the voice of the customer
- Assist with RFP and RFI preparation and submissions
- Attain quarterly and annual sales and operational objectives assigned by management
- Represent Planet’s Hyperspectral customer requirements to Sales leadership, communicating forecasts, pipeline opportunities, deal reviews, CRM data, and customer feedback
- Present to key executive Government stakeholders
- Mentor team members and lead training to drive their development
Requirements
- Ability to obtain and maintain a US TS/SCI security clearance
- EAR/ITAR requirement: employment contingent on ability to access export-controlled information without additional licensing
- Bachelor’s degree in Computer Science, Earth/Environmental Science, or other relevant field
- 4+ years of experience in applied hyperspectral data analysis and applications
- Experience crafting hyperspectral use cases and presentations
- Excellent verbal and written communication skills in English
- Experience working with GIS and Remote Sensing users
- Experience in IMINT, ISR, and related fields
- Experience with ERDAS, QGIS, SocketGXP, ArcGIS, GDAL and other common geospatial and hyperspectral software packages
- Ability to successfully communicate and coordinate with international customers & sales team
- Excellent problem-solving skills and proactive working mindset
- Ability to multitask, prioritize and manage time effectively
- Proficiency with Python to process imagery, manipulate hyperspectral data, interact with Planet’s APIs and build data pipelines
- Ability to lead customer engagements
- Ability to run workshops or training sessions with users
- Experience supporting the US Defense and Intelligence community (preferred)
- Willingness to travel internationally up to 25%
- If located near an office, expected to work from that office 3 days per week