About Niantic Spatial

AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.

That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.

In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.

Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.

About the Role

We're looking for our founding Sales Development Representative to introduce Niantic Spatial to the organizations shaping the future of spatial computing, autonomy, and AI. Reporting into Marketing, you'll follow up on inbound interest, open meaningful first conversations with prospective customers and partners, and build a qualified pipeline.

This role sits at the intersection of research, communication, and disciplined execution. You'll learn how organizations approach their operational and technical challenges, understand their use cases, and assess where our products can help. Your conversations do double duty: they build pipelines, and they give Product real signals about where we are finding product-market fit.

You'll work closely with marketing, product, business development, and operations to turn market interest into pipeline, and help build the systems, messaging, and feedback loops that make a growing go-to-market team more effective.

What You'll Do

Build Early-Stage Pipeline - Respond quickly to inbound interest, qualify initial fit, and uncover business and technical priorities. Develop outbound campaigns with Marketing and Business Development, testing audiences, messages, channels, and calls to action, then use the results to sharpen how we approach the market.

Create Qualified Conversations - Research target accounts across industries such as oil and gas, defense and the public sector, and embodied AI. Build an informed point of view on each prospect's business, technical environment, and potential need for spatial intelligence.

Reach Prospects Thoughtfully - Run personalized outreach across email, phone, LinkedIn, events, and other channels. Lead with a clear reason for reaching out and make every interaction useful, whether or not it produces a meeting.

Explain the Opportunity - Learn our products and point of view deeply enough to explain them clearly to technical and executive audiences. Connect our capabilities to real customer problems without overstating what the products can do.

Surface Product-Market Fit Signal - Ask thoughtful questions about how organizations build, deploy, and operate systems that need to understand the physical world. Recognize promising use cases and route the right context to product, sales, and technical teams so they can test where fit is strongest.

Hand Off Cleanly - Translate discovery notes into a clear articulation of the customer's need, the proposed solution, initial scope, and next steps. Partner with Business Development on the first proposal and make sure the opportunity moves into the sales process with its context intact.

Strengthen the Go-To-Market Motion - Capture patterns from prospect conversations: recurring pain points, objections, terminology, competitive context, and emerging use cases. Share them with Marketing, Business Development, Product, and Operations. Improve our processes, data quality, and tooling, using automation and AI to remove repetitive work while keeping judgment and personalization at the center of the prospect experience.