---
title: 'Solutions Architect (Enterprise) at Niantic Spatial'
canonical: 'https://feeny.ai/job/solutions-architect-enterprise-niantic-spatial-san-francisco-x2b3921xjfn6'
type: 'job'
last_seen: '2026-09-07'
---

# Solutions Architect (Enterprise) at Niantic Spatial

- **Company:** Niantic Spatial
- **Location:** San Francisco, CA
- **Compensation:** $171k–$215k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-17
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/niantic-spatial/0e999010-0450-455a-ad09-9b3dbd4a05f2

## Job description

## 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 — building for the 80% of economic activity that takes place beyond our screens.

## 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.

## Compensation & Benefits

$171,000 - $215,000 · annual bonus · equity · comprehensive benefits

Location & Work Model

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

Inclusive Application

We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for.

## Equal Opportunity

Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.

Candidate Privacy

I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

## About Niantic Spatial

## Company Overview
- **One-liner**: Niantic Spatial builds real-world foundation models and spatial intelligence systems that enable machines to reconstruct, localize within, and understand the physical world at global scale.
- **Entity Type**: Private (startup, spun out of Niantic in 2025)
- **Headquarters**: San Francisco, CA, USA (with offices in Sunnyvale, Bellevue, London, and Tokyo)
- **Founded**: 2025 (as Niantic Spatial; roots trace back to Keyhole, founded 2001, and Niantic Labs, 2011)
- **Founders**: John Hanke (Founder & Executive Chairman); Thomas Gewecke (CEO), Brian McClendon (CTO), Inhi Cho Suh (President & COO)

## Core Business
- **Primary industry/industries**: Geospatial AI, physical AI infrastructure, spatial computing, robotics, defense, energy, construction, logistics
- **Target customers**: B2B – enterprises in robotics, oil & gas, defense, large venues, construction, logistics; public sector; also powers consumer apps via Scaniverse
- **Mission or purpose statement**: “Build a living model of the world that people and machines can talk to.”

## Products & Services
- **Large Geospatial Model (LGM)** – The core engine trained on one of the largest datasets of real‑world spatial imagery. It powers reconstruction, localization, and understanding capabilities at global scale. Accessed via Scaniverse and licensed to partners. (Model/API)
- **Reconstruct** – High‑fidelity, geo‑referenced 3D models (meshes and Gaussian splats) created from any standard camera, 360° camera, drone, LiDAR, or satellite imagery. (Technology/Service)
- **Localize (Visual Positioning System)** – Precise global positioning and orientation for humans and machines, even in GPS‑degraded or denied environments (indoors, outdoors, anywhere). (Technology/API)
- **Understand** – Spatial foundation models that give AI the ability to reason about the physical world: semantic understanding at every 3D point, queryable in natural language. (Technology/API)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Over 300 million user‑contributed scans; 30+ billion posed images from real‑world locations; 140+ patents filed or pending
- **Notable Investors/Partners**: Backed by Niantic (the Pokémon GO creator) and its internal resources; no external funding round publicly announced. Partnerships in defense, energy, construction, logistics, and large venues.
- **Growth Signals**: Formed as an independent company in 2025; actively hiring for senior engineering roles (Computer Vision, Tech Lead, AI Data Operations); expanding from consumer AR into enterprise and government sectors.

## Competitive Advantages
- **Deep heritage**: Founders built Keyhole (acquired by Google, became Google Earth/Maps) and later created the world’s first global Visual Positioning System at Niantic.
- **Unique data moat**: 300M+ crowdsourced scans and 30B+ posed images provide a proprietary dataset of real‑world spatial imagery that competitors would find extremely difficult to replicate.
- **Planetary‑scale deployment**: Proven ability to operate at global scale (Pokémon GO had 500M+ users); technology already battle‑tested in demanding consumer and enterprise environments.
- **Patent portfolio**: 140+ patents covering spatial reconstruction, localization, and understanding.

## Strategic Focus
- Continue building spatial foundation models that can reason about the physical world in natural language
- Expand vertical markets: robotics (warehouse, delivery, autonomous), defense (DDIL environments), oil & gas (facility digital twins), large venues, and construction
- Drive adoption of the Large Geospatial Model (LGM) as the standard for physical AI reasoning
- Integrate consumer‑facing Scaniverse as the front door to the LGM, simultaneously feeding the model with new user scans

## Why Work Here
- **Culture & mission**: High‑impact startup environment focused on a mission to create a living 3D model of the world; employees describe it as fast‑moving and collaborative
- **Work model**: Hybrid – blends in‑office collaboration with flexibility. Offices in San Francisco, Sunnyvale, Bellevue, London, and Tokyo.
- **Benefits**: 100% paid healthcare for employees, short‑/long‑term disability & life insurance (premiums covered), generous parental leave, flexible time off, 401(k) with company match, stock option grants (equity participation), and legal assistance (ARAG).
- **Engineering culture**: Deep technical challenges in computer vision, geospatial AI, large‑scale ML, and robotics; tight‑knit team of experts from Google Earth, Niantic, and the AR industry.
- **Growth trajectory**: Newly independent company with strong backing, ample opportunity to shape the product and technical direction.

## Sources
1. [nianticspatial.com – Homepage](https://www.nianticspatial.com/)
2. [nianticspatial.com – Careers](https://www.nianticspatial.com/careers)
3. [nianticspatial.com – About](https://www.nianticspatial.com/about)
4. [nianticspatial.com – About (alternate)](https://www.nianticspatial.com/en/about)

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