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 good 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 new category as it takes form. The team BigGeo team is AI-enabled, cross‑functional, and highly collaborative. 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 setting 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 up-to-date 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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