Your space-enabled career begins here

About BigGeo

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.

We’re building something that hasn’t existed before: a new layer of the internet where the “where” and “when” behind every decision is instantly clear, programmable, and actionable. Our platform removes the complexity that has kept spatial data locked in silos for decades, and replaces it with speed, precision, and control.

We’re a Calgary-based company, early and moving fast, with real customers, real infrastructure, and a clear point of view on where the world is going.

Why BigGeo Exists and Why People Build Here

Most companies are spatially blind. They know what their data says, but not where or when things actually happen. That gap costs real money, creates real risk, and limits what AI can actually do in the physical world.

BigGeo exists to close that gap.

We’re not building another tool. We’re building the rails that connect the planet’s moving data to the systems that run the world. That’s a big problem, and it takes people who care about doing things right, not just fast.

People build here because:

• The problem is real and the category is open. We’re not competing for the middle of an existing market. We’re defining a new one. Your work shapes what the category becomes.
• Your fingerprints are on the architecture. We’re at the stage where the decisions you make today become the foundation tomorrow. What you ship matters.
• We run on clarity, not politics. We move with purpose. No bureaucratic drag, just a team that agrees on the mission and gets to work.
• You’ll grow fast because the problems are hard. Spatial data at scale is a genuinely difficult domain. If you want to be stretched, you’ll be stretched.
• We’re building for longevity. We’re not chasing hype cycles. We’re building infrastructure, the kind that compounds in value over time and earns the trust of the companies that depend on it.

The Role

BigGeo is hiring an Account Executive to help introduce the Spatial Cloud to organizations that depend on real-world data to operate and make decisions. This is a foundational commercial role. You will be one of the earliest voices putting a new category in front of customers who have spent years working around spatial data rather than with it, and your conversations will directly shape how BigGeo is understood in the market.

You will be responsible for identifying high-impact use cases, guiding customers through how the Spatial Cloud changes the way spatial data is managed and accessed, and helping organizations adopt the platform as part of their core infrastructure. The strongest deals in this role start with clear discovery: understanding how a customer’s data moves today, what it costs them when spatial context is slow or missing, and where the Spatial Cloud replaces friction with speed.

You will work closely with product, engineering, and leadership to translate complex spatial capabilities into clear business outcomes. This role requires curiosity, ownership, and the ability to operate in a category that many customers are encountering for the first time. You will carry the mission, the story, and the number, and you will be trusted to build the playbook as you go.

The Account Executive reports to the Chief Growth Officer and works across enterprise, government, and data ecosystem opportunities.

Key Responsibilities

Pipeline Development and Market Discovery

• Build and manage a pipeline of organizations that rely on spatial intelligence across logistics, infrastructure, mobility, climate, and AI applications.
• Identify and develop relationships with organizations that depend on spatial data for operations, analytics, or decision-making, from individual technical champions to executive sponsors.
• Lead consultative discovery conversations focused on how spatial data is currently managed, accessed, and used, and where existing approaches are quietly costing the business time, money, or accuracy.
• Research target accounts deeply before outreach: understand the industry pressures they are facing, the systems they already run, and the specific decisions spatial data should be informing.

Commercial Leadership

• Translate Spatial Cloud capabilities into operational outcomes: faster decisions, lower infrastructure cost, cleaner data pipelines, and AI systems that can finally act on real-world context.
• Present the Spatial Cloud architecture and value in a clear, credible way for both technical and executive audiences, moving fluently between a developer conversation and a boardroom conversation in the same day.
• Own sales cycles from initial contact through negotiation and closing, including multi-stakeholder enterprise and government procurement cycles.
• Lead commercial conversations from initial exploration through contract execution, and keep the customer oriented to value at every step.
• Run disciplined opportunity qualification. Know when to invest, when to disqualify, and when to escalate.

Cross-Functional Execution

• Partner with product and engineering teams to shape solution approaches for customers, including tailored proofs of value and technical validation plans.
• Provide structured feedback to product and engineering teams based on real customer needs, so the roadmap sharpens with every deal cycle.
• Help early customers become long-term Spatial Cloud adopters by ensuring a clean handoff to delivery and staying close through the first value milestones.
• Contribute to the development of repeatable go-to-market motions as the Spatial Cloud category grows: patterns, plays, messaging, and proof points that the next ten Account Executives can use.

Operating Rhythm and Tools

• Maintain accurate pipeline and opportunity tracking using Monday and internal CRM workflows. Forecasts at BigGeo are honest, not optimistic.
• Use AI tools to accelerate research, account preparation, proposal development, and outbound messaging.
• Represent BigGeo in industry conversations, customer events, and partner ecosystems where spatial intelligence is becoming mission-critical.
• Work with Slack, Google Workspace, Monday, AI research and productivity tools, and BigGeo platform demonstrations as part of the daily operating stack.

What You Bring

Required:

• 4–8+ years of experience in enterprise B2B sales or strategic account development, with a track record of closing six- and seven-figure contracts.
• Experience selling technical products such as data platforms, infrastructure software, developer tools, APIs, or cloud systems.
• Demonstrated ability to lead conversations with both technical teams (engineers, data leads, architects) and executive stakeholders (CTOs, COOs, CDOs, economic buyers).
• Strong consultative selling instincts and comfort working in an emerging category where the customer’s mental model of the problem may still be forming.
• Excellent written and verbal communication, with the ability to translate complex capabilities into clear outcomes, both in a live call and in a written proposal.
• High ownership, strong follow-through, and comfort operating in a fast-moving startup environment where the playbook is being written, not inherited.
• Discipline with sales hygiene: accurate forecasting, clean pipeline, timely notes, and honest qualification.

Nice to Have:

• Experience selling to logistics, infrastructure, mobility, climate, insurance, public sector, or AI-native customers.
• Familiarity with spatial data, GIS workflows, geospatial APIs, or data infrastructure concepts (partitioning, indexing, query performance).
• Exposure to platform or ecosystem sales motions (developer-led, partner-led, or channel-influenced deals).
• Prior experience as an early commercial hire (first or second AE) at a Seed or Series A startup.
• Experience selling into Canadian and US markets; additional international exposure is a plus.

Success Measures

First 30 days:

Deep understanding of the Spatial Cloud: the product, the architecture, the demo, and the category narrative. Clear map of the target segments, ICPs, and priority accounts you will own. Initial pipeline activity started, with outbound motions running and first discovery calls booked. Tight working relationships established with product, engineering, and leadership.

First 60 days:

Active, qualified pipeline built across at least two target segments. Multiple discovery-to-evaluation conversions with documented use cases and value hypotheses. First proof-of-value or technical validation underway with a priority account. Field feedback flowing back into product and marketing, with at least one sharpened messaging or positioning input.

First 90 days:

First commercial win(s) closed, or clear late-stage opportunities with defined paths to close. Repeatable discovery and qualification motion established, ready to be shared with the next AE. Forecasting rhythm and pipeline hygiene trusted by leadership. Recognized as a credible voice on the Spatial Cloud with both technical and executive audiences.