Company Overview BigGeo is the Spatial Cloud.
We help companies manage and access the world’s spatial data.
Any size, any slice, any insight.
Delivered in seconds.
BigGeo is defining a new category of infrastructure for how organizations, systems, and AI work with real-world data. Spatial data powers logistics, infrastructure planning, climate intelligence, financial systems, and global mobility, yet most organizations still struggle to manage and access it at scale.
The Spatial Cloud provides a unified architecture where spatial and temporal data can be managed, computed, and delivered instantly across applications and AI systems. Instead of fragmented pipelines and slow analysis workflows, BigGeo turns spatial data into operational infrastructure used directly by modern digital systems.
Why BigGeo We don’t start by asking why you’d be a valuable fit for us. We start by being clear about what we’re building and why it matters.
BigGeo is building the Spatial Cloud, a foundational infrastructure for how spatial data is managed, accessed, and used in real time across systems, AI, and organizations.
Joining BigGeo means contributing to technology that is shaping a current category as it takes form. The team BigGeo team is AI-enabled, cross‑functional, and highly cooperative. We value ownership, clarity, and leveraging AI tools to build incredible momentum. The work moves quickly, expectations are high, and impact is visible because what we build is used in real‑world environments.
At BigGeo, you will: Contribute to systems that influence how spatial data is managed and applied
Leverage cutting edge AI tools so that your work shows up in real, high-impact use cases
Collaborate with a multidisciplinary team solving complex, meaningful problems
Work in an environment where autonomy is trusted, results matter, and AI tools are harnessed to boost creativity, output, and results
If you want to do work with real-world impact and help build foundational technology that changes how organizations understand and use spatial intelligence, BigGeo is the place to build that future.
Role Overview BigGeo is seeking a Lead Spatial Cloud Solutions to design and deliver how organizations build, deploy, and scale solutions on the Spatial Cloud.
This role sits at the intersection of platform architecture, spatial systems, and real-world implementation. You will work directly with enterprise customers, partners, and BigGeo’s product and engineering teams to turn complex spatial requirements into production-ready solutions built on BigGeo infrastructure. You will lead technical solution design across strategic implementations, helping organizations move from fragmented spatial data and workflows to scalable systems that produce operational intelligence. You will define architectures, build reusable technical patterns, guide implementations, and ensure solutions are designed for performance, reliability, governance, and scale.
This is a high-ownership role for a technical builder who combines deep spatial systems knowledge with platform thinking, strong customer engagement, and the ability to move between architecture and implementation.
What You Will Bring and Own As Lead Spatial Cloud Solutions, you will own the technical design and delivery of high-impact solutions built on the Spatial Cloud.
You will build and own: Spatial Cloud architectures for strategic customer and partner implementations




Technical solution designs that translate real-world requirements into scalable spatial systems
Reference architectures and reusable implementation patterns for Spatial Cloud adoption
Solution blueprints showing how BigGeo integrates with customer data, applications, APIs, and operational systems
Deployment models for production spatial data and compute workflows
Technical prototypes and implementations that validate new solution patterns
Technical guidance across customer and partner implementations
Feedback loops between real-world implementations and BigGeo’s product and engineering teams
Your work will establish repeatable ways for organizations to build decision‑critical systems on the Spatial Cloud.
Core Responsibilities Spatial Cloud Solution Architecture Lead the technical design of Spatial Cloud solutions for enterprise customers and strategic partners
Translate business and operational requirements into scalable spatial architectures, data flows, and compute patterns
Design solutions that use BigGeo infrastructure effectively across performance, governance, reliability, and scale
Evaluate spatial datasets, APIs, integration requirements, and existing customer environments
Make architecture decisions that balance immediate implementation needs with reusable platform patterns
Solution Implementation Take solutions from architecture through technical validation and production implementation
Build prototypes, integrations, data workflows, and reference implementations where needed
Work through complex spatial data, indexing, compute, and integration challenges
Identify implementation risks early and develop practical approaches to resolve them
Ensure solutions can operate reliably under real-world production conditions
Customer and Partner Engagement Work directly with technical teams at enterprise customers to understand requirements and guide Spatial Cloud adoption
Serve as a trusted technical counterpart during solution design and implementation
Collaborate with data providers, platform partners, and developers building on BigGeo
Communicate complex spatial architecture clearly to both technical and non‑technical stakeholders
Help customers understand what becomes possible when spatial data can be managed and accessed through a shared infrastructure layer
Platform Enablement Create reusable technical patterns, solution frameworks, and reference architectures
Document deployment approaches that allow successful implementations to be repeated across customers and industries
Identify common implementation challenges that should become platform capabilities
Translate implementation experience into actionable product and engineering feedback
Help establish technical standards for how production solutions are built on the Spatial Cloud
Cross‑Functional Collaboration Partner closely with engineering teams building Spatial Cloud infrastructure
Work with product teams to connect customer requirements with platform capabilities
Collaborate with sales and partnerships during technically complex strategic opportunities
Contribute spatial systems expertise to product and architecture discussions




Use AI‑assisted tools to accelerate research, analysis, modeling, documentation, and solution design
Technology and Tools The Lead Spatial Cloud Solutions will work across modern spatial, cloud, data, and AI environments.
Cloud platforms and distributed infrastructure
Geospatial frameworks and spatial databases
Spatial and temporal datasets
APIs and developer platforms
Real‑time spatial compute environments
Data pipelines, transformation systems, and spatial indexing
Cloud‑native application architectures
AI and machine learning systems using spatial data
Development and prototyping environments
Monitoring, debugging, and production reliability tooling
Operational tools include Slack, Google Workspace, and Monday, with strong use of modern AI tools to improve research, technical analysis, development, documentation, and decision‑making.
Required Experience 7+ years of experience in geospatial systems, spatial platforms, location intelligence, data infrastructure, or related technical environments
Strong experience designing and delivering production spatial solutions
Deep understanding of spatial data systems, geospatial compute, spatial indexing, and data pipelines
Experience designing integrations across APIs, cloud infrastructure, data platforms, and operational systems
Experience working directly with enterprise customers, technical partners, or complex internal stakeholders
Ability to translate ambiguous real‑world requirements into clear technical architectures and implementation plans
Strong technical communication skills across engineering, product, customer, and business audiences
Experience taking technical solutions from initial problem definition through deployment
Ability to operate with autonomy and make sound technical decisions in a high‑ownership startup environment
Practical experience using modern AI systems to improve technical productivity, analysis, development, or solution design
Preferred Experience Experience with cloud‑native spatial platforms or large‑scale geospatial data infrastructure
Background in GIS, spatial analytics, spatial databases, or location intelligence systems
Experience with distributed systems or high‑performance data platforms
Experience designing developer‑facing APIs, SDKs, or platform integrations
Experience supporting developer ecosystems or technical platform adoption
Experience working with industries such as logistics, infrastructure, energy, government, mobility, or AI
Familiarity with AI systems that consume or reason over spatial and temporal data
Experience building reusable solution frameworks, reference architectures, or technical accelerators
Experience working with large, complex, or real‑time spatial datasets
Work Environment and Collaboration BigGeo operates as a collaborative startup environment where teams work closely across engineering, product, data, and customer‑facing disciplines.
Engineering teams building Spatial Cloud infrastructure
Product leaders defining platform capabilities
Enterprise customers deploying spatial systems
Data providers and technology partners participating in the spatial ecosystem
Sales and partnership teams supporting strategic opportunities
This role is ideal for someone who enjoys designing complex systems, solving difficult spatial problems, working directly with builders and customers, and turning new infrastructure into capabilities that work in the real world.

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