Solutions Architect (Enterprise)

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

As a Solutions Architect at Niantic Spatial, you’ll own technical solutioning from early customer discovery through commercial structuring and delivery. This role serves as the primary technical partner to Business Development, Sales, and strategic customers. We welcome candidates from backgrounds in Solutions Engineering, Customer Engineering, Technical Consulting, Solution Architecture, or technical pre-sales roles.

As the primary technical counterpart for strategic commercial customers, you’ll lead discovery and align development to reusable, platform-aligned capabilities rather than one-off builds — translating operational needs into architectures that integrate cleanly into existing enterprise systems, field workflows, and robotic platforms.

You’ll partner closely with Product Management so customer requirements shape the roadmap, and you’ll be central to developing, closing, and implementing new business across priority verticals — with a focus on Energy and Industrial — leveraging Niantic Spatial solutions such as Intelligent Field Operations, Reconstruction, Semantics, and Robotics.

What You’ll Do

• Customer architecture & technical leadership
• Own the technical relationship and technical success for assigned commercial and strategic accounts from discovery through implementation, with priority focus on Energy customers leveraging Intelligent Field Operations and Semantics.
• Design end-to-end solution architectures (logical and physical) covering deployment, scaling, reliability, safety, and security across cloud, edge, and device environments.
• Lead technical workshops to capture operational objectives, requirements, and success criteria, and translate them into implementation-ready designs tailored to field environments.
• Solution development & commercial proposal support
• Provide technical inputs to customer proposals, pilots, statements of work (SOWs), and commercial agreements.
• Lead technical solution documentation — architecture diagrams, integration approaches, deployment models, security considerations, and implementation plans.
• Partner with Sales/BD on technical differentiators, value narratives, demonstrations, and scoping assumptions aligned to customer ROI and operational impact.
• Integration into enterprise & operational ecosystems
• Ensure solutions integrate into customer environments — identity systems, data platforms, GIS/geo services, robotics stacks, enterprise integration patterns, observability, and device constraints.
• Define integration patterns, APIs, and data flows across cloud, edge, and on-device systems; document operational runbooks and deployment/upgrade strategies suited to distributed field operations.
• Product feedback loop
• Communicate customer needs, gaps, and technical requirements to Product Management and Engineering, influencing roadmap and prioritization with structured feedback from engagements, pilots, and deployments.
• Provide structured input on emerging use cases across Intelligent Field Operations, Semantics, and Robotics.
• Delivery partnership
• Collaborate with delivery teams and partners to ensure architectures are implemented as designed; support escalations, performance optimization, field validation, and post-launch adoption.
• Support pilots and early deployments, ensuring measurable operational outcomes and scalable production transitions.
• Maintain a set of repeatable demos for commercial prospects; use demo feedback to inform proposals and the product roadmap.

What You’ll Bring

• 8+ years in Solutions Architecture, Solutions Engineering, Customer Engineering or Systems Engineering, or related customer-facing technical roles supporting enterprise or industrial customers.
• Demonstrated experience developing solution architectures and contributing to commercial proposals, pilots, or customer-facing technical documentation.
• Strong architecture fundamentals across cloud and hybrid deployments, edge computing, networking, identity, security controls, and operational monitoring; enterprise integration (APIs, data pipelines, event-driven systems); and edge/device-constrained, distributed systems operating in real-world field conditions.
• Experience supporting customers in at least one of: Intelligent Field Operations (utilities, energy, telecom, logistics, asset inspection, industrial automation); robotics platforms (mobile robots, drones, autonomy stacks, perception/localization); or geospatial, mapping/GIS, spatial computing, or AI-driven perception systems.
• Ability to translate operational needs into implementable architectures and explain tradeoffs to both technical and non-technical stakeholders.
• Excellent written communication, with the ability to produce high-quality technical documentation and customer-facing materials.
• Nice to Have
• Experience selling into Energy verticals, and Oil & Gas specifically.
• Experience with robotics software stacks (e.g., ROS/ROS2), autonomy systems, SLAM/localization, or sensor fusion.
• Experience deploying AI/ML or perception systems in real-world operational environments.
• Familiarity with safety, reliability, and operational constraints in industrial or field-based systems.
• Prior experience partnering with Product Management to turn customer requirements into roadmap outcomes.