About SatSure
SatSure is a deep-tech, Decision Intelligence company operating at the nexus of agriculture, infrastructure, and climate action — creating impact for millions, with a focus on the developing world. We turn Earth observation data into actionable insights that drive decisions at scale. Join us to be at the forefront of building a deep-tech company from India that solves global problems.
About the Role
As a Senior Geospatial Solutions Engineer, you will be the technical backbone of SatSure's client engagements, partner integrations, and pre-sales efforts — especially across critical infrastructure, urban planning, and large-scale government programmes.
You will bridge deep geospatial engineering expertise with the ability to translate complex technical outputs into compelling, decision-ready demonstrations for enterprise and government clients.
You will lead Proof-of-Concept executions, design integration architectures, and help SatSure win and deliver high-value work by being both a builder and a trusted technical advisor to clients.
Key Responsibilities:
Client & Partner Facing
- Lead technical pre-sales engagements: Design and deliver demonstrations of SatSure's geospatial capabilities — including LiDAR-derived products, 3D terrain models, satellite analytics, and platform outputs — tailored to client verticals such as railways, roads, urban infrastructure, and utilities.
- Execute Proof-of-Concept projects end-to-end: Own the scoping, data processing, analysis, and presentation of POCs that showcase SatSure's value to new and existing clients.
- Serve as the primary technical point of contact for partners and clients across GTM engagements, building long-term credibility through deep domain expertise.
- Architect integration solutions: Work with client technical teams to design optimal data pipelines and integration approaches using SatSure's APIs, SDKs, and platform capabilities.
- Support proposal and RFP responses with technical inputs, methodology notes, and solution design — particularly for government and infrastructure clients. Building & Engineering.
- Build and process geospatial datasets using tools such as GDAL, PDAL, ArcGIS, QGIS, and ERDAS — including point cloud processing, DTM/DSM generation, LULC mapping, and change detection workflows.
- Process and analyse LiDAR data for critical infrastructure applications: corridor mapping, clearance analysis, asset inventory, and terrain modelling for railways, highways, and urban environments.
- Develop reusable, scalable geospatial pipelines and demo environments that can be deployed across client engagements.
- Contribute to the evolution of SatSure's product and platform by translating field learnings into structured feedback for Engineering and Product teams. Internal Enablement
- Enable Sales, Customer Success, and Partnerships teams through documentation, demo scripts, technical training, and integration best practices.
- Capture detailed technical requirements from client engagements and translate them into product specifications and roadmap inputs.
- Maintain and update integration solutions in line with product changes; troubleshoot regressions and deprecated functionality proactively.
Qualifications:
- Bachelor's degree in Geomatics, Remote Sensing, Civil/Geospatial Engineering, Computer Science, or a related field. A Master's degree is a plus.
- 5–8 years of hands-on technical experience in geospatial engineering, GIS solutions, or Earth observation — with demonstrated exposure to critical infrastructure projects.
- Prior experience engaging with enterprise or government clients (railways, highways, urban bodies, utilities, defence) is strongly preferred.
Must-Have Skills:
- LiDAR & Point Cloud Processing: Proficiency in PDAL, LAStools, or equivalent tools; experience with 3D modelling, classification, DTM/DSM generation, and infrastructure corridor analysis.
- Core GIS Stack: Strong working knowledge of GDAL, ArcGIS (Pro/Server), QGIS, and spatial data formats (GeoTIFF, Shapefile, GeoPackage, LAS/LAZ, etc.).
- Remote Sensing & Satellite Analytics: Experience working with multispectral, SAR, or hyperspectral data; familiarity with EO data platforms and APIs.
- Geospatial Programming: Proficiency in Python (with GeoPandas, Rasterio, Shapely, or similar libraries) for building reproducible workflows and automating data pipelines.
- API & Platform Integration: Understanding of REST APIs, SDKs, and cloud infrastructure as it relates to geospatial data delivery.
- AI/ML Awareness: Familiarity with ML applications in geospatial contexts — classification, object detection, change detection — is a must.
- Client-Facing Communication: Ability to present complex technical outputs clearly to non-technical decision-makers; experience building demos, technical proposals, and methodology documents.
- Project Management: Proven ability to manage multiple deliverables across different project stages with multiple external stakeholders simultaneously.
- Entrepreneurial Mindset: Comfortable operating in ambiguous, fast-paced environments; ability to turn high-level direction into structured action plans.
Benefits:
- Medical health cover for you and your family, including unlimited online doctor consultations.
- Access to mental health support for you and your family.
- Dedicated allowances for learning and skill development.
- Comprehensive leave policy including casual, paid, marriage, and bereavement leave.
Interview Process:
- Intro call
- Technical assessment / case-based round
- Interview rounds (up to 3–4 rounds)
- Culture / HR round