Solutions Architect (Enterprise)

About the role

Niantic Spatial is building the future of physical AI. Our technology uses a proprietary database of over 30 billion posed images to capture environments with geometric accuracy and detail, enabling precise positioning and interaction with the real world. We serve customers in robotics, the public sector, and energy and industrial markets.

Responsibilities

• 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.

• 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.

• 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.

• 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.

• 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.

Requirements

• 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.

Qualifications

• 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.
• 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.

Skills

• 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.

Benefits

Comprehensive benefits including health insurance, retirement plans, and paid time off.

Pay

$171,000 - $215,000 annual bonus

Schedule

Hybrid — at least 3 days per week in office. In San Francisco Bay Area or Houston, TX (remote).