GIS & AI Presales Specialist
Listed on 2025-12-10
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IT/Tech
AI Engineer, Data Analyst, Data Scientist, Cloud Computing
SARsatX is a cutting-edge technology company based in Saudi Arabia, specializing in Synthetic Aperture Radar (SAR) and Optical satellite solutions. We are dedicated to advancing EO technology for applications in environmental monitoring, security, and resource management. Through innovative research and strategic partnerships, SARsatX is at the forefront of developing high-resolution, reliable, and precise SAR and optical sensors designed to meet the unique challenges of the MENA region and beyond.
Our mission is to provide state-of-the-art remote sensing capabilities that empower decision-makers with actionable insights.
SARsatX is seeking a GIS & AI Presales Specialist who will serve as the critical link between our advanced satellite-driven geospatial technologies and the needs of our clients. In this role, you will act as a trusted technical advisor throughout the sales cycle—translating SARsatX’s capabilities in satellite analytics, AI, and geospatial intelligence into high-impact solutions that address customer challenges across diverse sectors.
This position blends expertise in geospatial systems, AI/ML applications, and business problem-solving to design, validate, and position innovative solutions powered by SARsatX’s cutting‑edge satellite data products and AI platforms.
Roles and ResponsibilitiesClient Engagement & Discovery
- Partner with account managers to understand customer goals, pain points, and technical requirements.
- Act as a strategic advisor to clients, shaping tailored solution architectures built around SARsatX’s satellite and AI capabilities.
- Conduct discovery workshops and requirements‑gathering sessions to map business challenges to geospatial and AI‑driven solutions.
- Demonstrate thought leadership in satellite remote sensing, GIS, and AI fields.
- Create solution briefs, pitch decks, use‑case material, and competitive analysis documents.
Solution Design
- Lead customer‑facing solution presentations, demos, and technical workshops.
- Design end‑to‑end solution architectures leveraging SARsatX’s SAR/EO data products, GIS platforms, AI models, cloud services, and data pipelines.
- Integrate satellite analytics, geospatial workflows, and AI insights into customer‑centric solutions.
- Develop prototypes and proof‑of‑concept (POC) models validating feasibility and business value.
Technical Demonstrations
- Deliver compelling presentations and live demos to both technical and non‑technical stakeholders.
- Highlight industry‑specific use cases (e.g., environmental monitoring, defense & security, infrastructure, energy, agriculture, and smart cities).
- Showcase SARsatX’s geospatial intelligence capabilities using real‑world scenarios.
Proposal Development
- Lead the technical components of RFI/RFP responses, including architecture descriptions, compliance matrices, and integration strategies.
- Support pricing teams by defining solution scope and required technology.
- Clearly articulate SARsatX’s competitive advantages and value propositions.
Market Awareness
- Stay updated on advancements in satellite remote sensing (especially SAR), geospatial analytics, and AI/ML technologies.
- Track competitor offerings and identify opportunities for differentiation and innovation.
- Contribute to SARsatX’s thought leadership through insights, whitepapers, and participation in industry events.
Minimum Requirements Technical Expertise
- GIS platforms:
ArcGIS, QGIS, Google Earth Engine, or equivalent. - AI/ML frameworks:
Tensor Flow, PyTorch, scikit‑learn. - Hands‑on experience with remote sensing, SAR/EO data processing, and geospatial analytics.
- Experience with spatial databases, ETL pipelines, cloud platforms (AWS, Azure, GCP), and data‑integration tools.
- Strong storytelling ability to convert technical capabilities into clear business value.
- Excellent presentation, demo delivery, and client‑facing communication skills.
- Ability to simplify complex geospatial and AI concepts for varied audiences.
- Strong collaboration skills with sales, product, and engineering teams.
- Remote sensing, spatial analytics, and geospatial visualization.
- AI capabilities including predictive modeling,…
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