Niantic Spatial
Learn more about Niantic Spatial, the company behind this role.
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Principal Architect, Product Engineering
Principal product-engineering architect role spanning Niantic Spatial's APIs, SDKs, mobile, web, and native runtimes, guiding productization of computer-vision and spatial-computing systems.
Product Manager - Reconstruction
About Niantic Spatial At Niantic Spatial, we're building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment. Our reconstruction technology captures environments with geometric accuracy and extreme detail from any standard camera, and our Visual Positioning System delivers precise positioning almost anywhere in the world. We serve customers across robotics, the public sector, and energy and industrial markets β building for the 80% of economic activity that takes place beyond our screens. About the Role As Senior Product Manager for Reconstruction, you will work at the intersection of 3D reconstruction research and real-world product impact β shaping how Niantic Spatial captures, reconstructs, and delivers photorealistic spatial data at global scale. You will own the end-to-end product vision and roadmap for our 3D reconstruction portfolio, translating deep technical expertise into enterprise-grade solutions that serve customers in robotics, oil and gas, and the public sector. This role sits at the center of our most technically ambitious work. You will partner directly with engineering, research, design, and go-to-market teams, driving product decisions that span data ingestion, 3D asset processing, real-time rendering, and customer-facing tooling. The right person combines genuine hands-on knowledge of the 3D reconstruc
Computer Vision Research Scientist/Engineer
About Niantic Spatial At Niantic Spatial, weβre building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment. Our reconstruction technology captures environments with geometric accuracy and extreme detail from any standard camera, and our Visual Positioning System delivers precise positioning almost anywhere in the world.
Business Development Leader (Public Sector)
About the Role As Business Development Lead, Public Sector, you'll build and scale Niantic Spatial's partner ecosystem across the Department of Defense, Intelligence Community, and Federal Civilian agencies β owning the partner-sourced and partner-led revenue motion that sits alongside and accelerates the direct sales channel. You'll work cross-functionally with our Public Sector Sales Lead, Solutions Architects, Product, and Engineering teams to identify and close mission-focused opportunities through defense primes, system integrators, OEMs, cloud providers, and technology partners. This role demands a high-initiative business leader who can operate in a nascent market, move quickly from strategy to execution, and build the repeatable processes that scale a growing Public Sector business. What You'll Do Market Intelligence β Conduct in-depth research to identify mission priorities, customer segments, acquisition pathways, and partner ecosystems; assess the competitive landscape and track emerging technology trends across DoD, IC, and Federal Civilian markets. Business Development β
Senior Computer Vision Engineer (Reconstruction)
At Niantic Spatial, weβre building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment. Join us as we build the real-world foundational models for physical AI, so people and machines can work efficiently and safely together.
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