The Role
Lead and grow a software engineering team responsible for distributed geospatial data processing at terabyte scale. Own the team roadmap, service reliability, latency, storage efficiency, integrations, architecture reviews, hiring, performance management, and operational outcomes. The role requires expertise in Python, distributed systems, geospatial data, cloud infrastructure, and deploying software into customer-controlled environments.
Summary Generated by Built In
Satellite and drone imagery access is on the rise, and traditional image processing methods are struggling to keep up. We've never had more data, turning those pixels into trusted, measurable understanding still takes months of AI work. HUNTR™ reduces this to hours.
We do not sell models. We provide the infrastructure that lets governments and enterprises build, validate, deploy and operate visual models they own. From pixel inputs to operational 2D and 3D outputs, under full sovereign control. Once deployed, every new sensor observation improves the customer's understanding of reality. Wherever the mission takes place, HUNTR™ runs there - from SaaS and private cloud to on-premise, classified networks and edge hardware in the field
We kicked off in 2020 and have secured $35 million in Series A funding from a lineup of top US and European investors, among which Microsoft M12, Point72 Ventures, Maxar, In-Q-Tel, SAFRAN, and ISAI/Capgemini.
Data Plane owns the full data lifecylce. Satellite, aircraft, drone SAR and multispectral imagery comes in, gets validated, transformed and tiled into ML-ready inputs. Detection results come out as vectors, merged and deduplicated across scenes - delivered into the customer's systems.
You will lead a domain related team, reporting to the Head of Engineering.
Your Mission
- Lead and grow a team building distributed data processing at terabyte scale. Run 1:1s, performance reviews, development plans. While owning hiring and delivery.
- Own the roadmap end to end. Teams here own their services completely: SLAs, cost, on-call, customer impact. Engineers own problems, not tickets.
- Move ingestion reliability, processing latency and storage efficiency. All three are instrumented and reviewed on a fixed cadence. The trend is yours.
- Extend ingestion beyond raster imagery and build the import and delivery integrations customers ask for: ArcGIS, STAC APIs, WMS and WMTS, object storage on both major clouds.
- Represent the team in architecture and design review. The strongest argument wins regardless of who holds it, and the proposing team owns the stack it commits to.
- Hold the operational bar. Availability, request success and incident quality are yours, and they are measured.
Your Profile
- You have managed software engineers directly, at least three of them, for at least two years, with real performance and development ownership.
- You have led teams building data-intensive systems: pipelines, distributed processing or large-scale storage. You know where cost and latency go because you went and found out.
- You have a geospatial background. Coordinate reference systems, raster and vector data, GeoTIFF and cloud-optimized formats, PostGIS, tiling schemes. You do not need to be a GIS specialist, but you cannot lead this team without the domain.
- You have a strong technical foundation in Python and distributed systems. You review a pipeline design and locate the scaling ceiling before production does it for you.
- You have delivered software into environments the customer controls, not only infrastructure you run yourself.
- You work in writing. This is an async-first, remote-friendly organization with a distributed team. Decisions live in documents and interfaces, not in recurring meetings.
- You reason from evidence and change position when the data moves. You can name a decision you reversed and what caused it.
Tech Stack
- Python, FastAPI
- Postgres, PostGIS
- Redis
- rasterio, shapely, geopandas
- Docker, Kubernetes
- AWS
Why join us
- Lead a team whose output is visible in every customer workflow, from first upload to final export.
- Real engineering at scale: terabyte workloads, hard latency targets, and infrastructure cost treated as a first-class engineering metric.
- Direct influence on how the data organization is structured as it grows.
- A distributed, remote-first team that works in writing and ships to defense, government and enterprise customers on three continents.
- Competitive compensation with flexible working arrangements and personalized benefits including learning opportunities, mental well-being programs, and healthcare.
The minimum salary is 75.000,--€ gross per year. The effective salary depends on qualification and experience and may be significantly higher!
Skills Required
- At least two years managing at least three software engineers, including performance and development ownership
- Experience leading teams building data-intensive systems such as pipelines, distributed processing, or large-scale storage
- Geospatial background including coordinate reference systems, raster and vector data, GeoTIFF, cloud-optimized formats, PostGIS, and tiling schemes
- Strong technical foundation in Python and distributed systems
- Experience delivering software into customer-controlled environments
- Ability to work effectively in writing within an async-first, remote-friendly distributed organization
- Evidence-based decision-making and willingness to change position based on new data
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The Company
What We Do
Blackshark.ai is a geospatial intelligence company that leverages cutting-edge AI and satellite technology to create a 3D digital twin of Earth. It transforms global satellite and aerial imagery into structured models of the physical world, enabling object detection and simulation. Its technology provides actionable insights for various industries, including urban planning, autonomous driving, and defense, empowering users with high-frequency 3D mapping applications.
