Technical Solutions Manager

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Act as the intermediary between EarthDaily's Sales team and the Software Engineering and Product departments.

• Ensure that potential customers grasp how EarthDaily’s data, analytics platforms, and AI-driven insights align with their operational requirements.

• Lead technical discovery, solution design, and proof-of-concept initiatives that directly contribute to revenue enhancement.

• Collaborate with Sales team members to evaluate opportunities.

• Create and present engaging technical demonstrations, proof-of-concept (POC) initiatives, and proposals that correspond to customer workflows and use cases.

• Accurately respond to RFPs, RFIs, and technical inquiries with a keen understanding of commercial implications.

• Perform needs assessments to identify technical requirements and objectives.

• Establish trustworthy relationships with technical stakeholders.

• Work alongside Product and Software Engineering teams to convey customer feedback and ensure competitive solutions.

• Coordinate with Customer Success Managers to guarantee smooth technical transitions after the sale.

⛳️ Requirements

• A Bachelor’s degree or higher in Computer Science/Software Engineering, Geography/GIS, Physics/Applied Math, or a related discipline.

• Over 5 years of experience in a technical pre-sales, solutions engineering, or geospatial consulting capacity within the remote sensing, geospatial, or Earth observation sectors.

• Previous experience in a technical pre-sales role within the commercial Earth observation industry may be given preference.

• Candidates with experience in one or more of EarthDaily’s target verticals may receive priority consideration.

• Practical experience with commercial Earth observation and related geospatial data formats, tools, and methodologies.

• Proficiency in at least one relevant programming language or scripting environment (Python is preferred).

• Proven ability to articulate complex technical concepts to non-technical audiences.

• Experience in or support of cloud platforms (AWS, GCP, or Azure).

• Familiarity with AI/ML applications in Earth observation (e.g., change detection, object classification, time-series analysis).

🏝️ Benefits

• Competitive compensation.

• Flexible time off.

• Excellent work environment and team.

• Meaningful mission in an innovative space company.