Technical Solutions Manager
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Job Description
Technical Solutions Manager facilitating collaboration between Sales and Engineering teams at EarthDaily. Leading technical engagements to support revenue growth through innovative Earth observation solutions.
Responsibilities:
- Serve as the bridge between EarthDaily's Sales team and the Software Engineering and Product functions
- Ensure prospective customers understand how EarthDaily’s data, analytics platforms, and AI-driven insights map to their real-world operational needs
- Lead technical discovery, solution design, and proof-of-concept engagements that directly support revenue growth
- Partner with Sales team members to qualify opportunities
- Design and deliver compelling technical demonstrations, proof-of-concept (POC) engagements, and proposals aligned to customer workflows and use cases
- Respond to RFPs, RFIs, and technical questionnaires with accuracy and commercial awareness
- Conduct needs assessments to understand technical requirements and objectives
- Build trusted relationships with technical stakeholders
- Collaborate with Product and Software Engineering teams to relay customer feedback and ensure solutions remain competitive
- Work with Customer Success Managers to ensure seamless technical handoffs post-sale
Requirements:
- Bachelor’s degree or higher in Computer Science/Software Engineering, Geography/GIS, Physics/Applied Math, or related field
- 5+ years of experience in a technical pre-sales, solutions engineering, or geospatial consulting role within the remote sensing, geospatial, or Earth observation industry
- Prior experience working in a technical-pre-sales role in the commercial Earth observation industry may be prioritized
- Candidates with experience in one or more of EarthDaily’s target verticals may be prioritized
- Hands-on experience with commercial Earth observation and related geospatial data formats, tools, and concepts
- Proficiency with at least one relevant programming language or scripting environment (Python preferred)
- Demonstrated ability to communicate complex technical concepts to non-technical audiences
- Experience working in or supporting cloud platforms (AWS, GCP, or Azure)
- Exposure to AI/ML applications in Earth observation (e.g., change detection, object classification, time-series analysis)
Benefits:
- Competitive compensation
- Flexible time off
- Great work environment and team
- Meaningful mission in innovative space company
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