GIS & AI-Driven Technical Manager

Role Overview

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