GIS & AI-Driven Technical Manager
Skills
About This Role
Role Overview
We are seeking a Saudi GIS & AI-Driven Technical Manager who will serve as a critical bridge between clients, sales teams, and technical delivery units at SARsatX.
This role combines
client-facing technical leadership
,
geospatial and AI solution architecture
, and
strategic advisory responsibilities
to design and deliver cutting-edge satellite intelligence solutions.
The successful candidate will leverage SARsatX’s
SAR and EO satellite data
, advanced
GIS platforms
, and
AI-driven analytics
to translate customer challenges into impactful, scalable solutions across multiple sectors.
Roles and Responsibilities
1. **Client Engagement & Discovery**
- Partner closely with account managers to understand customer objectives, operational challenges, and technical requirements.
- Act as a trusted
- technical and strategic advisor
- , shaping customer-specific solution architectures using SARsatX’s satellite, GIS, and AI capabilities.
- Lead and facilitate discovery workshops and requirements-gathering sessions to align business needs with geospatial and AI-driven solutions.
- Demonstrate thought leadership in
- satellite remote sensing, GIS, and AI
- , reinforcing SARsatX’s position as a market innovator.
- Develop solution briefs, pitch decks, use-case documentation, and competitive analysis materials to support sales and business development efforts.
2.Solution Design & Architecture
- Lead customer-facing technical presentations, solution walkthroughs, and architecture reviews.
- Design end-to-end solution architectures integrating:
- SAR and EO satellite data products
- GIS platforms and spatial databases
- AI/ML models and analytics pipelines
- Cloud infrastructure and data services
- Integrate satellite analytics, geospatial workflows, and AI insights into scalable, customer-centric solutions.
- Develop prototypes and proof-of-concepts (POCs) to validate technical feasibility, operational impact, and business value.
3.Technical Demonstration & Use-Case Delivery
- Deliver compelling live demos and presentations to both technical and non-technical stakeholders.
- Highlight sector-specific applications, including:
- Environmental monitoring
- Defense & security
- Infrastructure and construction
- Energy and utilities
- Agriculture and food security
- Smart cities and public safety
- Showcase SARsatX’s geospatial intelligence and AI capabilities through real-world, data-driven scenarios.
4.Proposal and RFP Development
- Lead the technical components of RFI/RFP responses, including:
- Solution architecture descriptions
- Compliance and requirement matrices
- Integration and deployment strategies
- Support pricing and commercial teams by defining solution scope, technical effort, and required technologies.
- Clearly articulate SARsatX’s value proposition, differentiators, and competitive advantages in proposal documents.
5.MArket Awareness & Thought Leadership
- Stay current with advancements in:
- SAR and EO satellite technologies
- Geospatial analytics and GIS platforms
- AI/ML methods applied to spatial data
- Track competitor offerings and identify opportunities for differentiation, innovation, and new solution development.
- Contribute to SARsatX’s thought leadership through whitepapers, technical insights, case studies, and participation in industry events and conferences.
Technical Expertise
- Hands-on experience with GIS platforms such as
ArcGIS, QGIS, Google Earth Engine
- , or equivalent.
- Experience with AI/ML frameworks including
- TensorFlow, PyTorch, and scikit-learn
- .
- Practical experience in
- remote sensing
- ,
- SAR/EO data processing
- , and
- geospatial analytics
- .
- Familiarity with spatial databases, ETL pipelines, and cloud platforms (
AWS, Azure, GCP
- ).
- Understanding of end-to-end geospatial data workflows, from acquisition to analytics and visualization.
Business & Communication Skills
- Strong storytelling ability to translate complex technical capabilities into clear business value.
- Excellent presentation skills with experience delivering demos and technical briefings to executive and operational audiences.
- Ability to simplify complex GIS and AI concepts for diverse stakeholders.
- Strong collaboration skills across sales, product, engineering, and delivery teams.
Domain Knowledge
- Solid foundation in
- remote sensing, spatial analytics, and geospatial visualization
- .
- Knowledge of AI applications in geospatial contexts, including:
- Image analysis
- Predictive modeling
- Anomaly detection
- NLP for spatial intelligence
- Understanding of satellite data applications across key sectors:
- Defense & security
- Environment & sustainability
- Energy & infrastructure
- Agriculture
- Public safety & smart cities
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