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Spatial Ai Jobs (NOW HIRING)

Quidient

Product Manager, Spatial AI

Columbia, MD · On-site

$155K - $200K/yr

Overview We're seeking an exceptional Product Manager to turn Quidient's breakthrough Spatial AI technology into polished, scalable products that customers and developers adopt. This is a 0-to-1 role ...

Cupix

VP, Marketing & Communications

Cupix is building the Spatial AI platform that turns real-world environments into living, navigable environments for AEC and other industries. As we expand globally and reposition the company for ...

Rerun

Forward Deployed Engineer

$175K - $250K/yr

We're building the data stack for Physical AI. The Rerun SDK viewer is loved by some of the best robotics and spatial AI teams in the world, and Rerun Hub is live in private preview managing ...

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How much do spatial ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for spatial ai in the United States is $123,139.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What is Spatial AI?

Spatial AI refers to artificial intelligence systems designed to perceive, understand, and interact with the physical world in real time by processing spatial data. It combines elements of computer vision, 3D mapping, and sensor fusion to enable machines to interpret and respond to their environment, commonly used in robotics, augmented reality, and autonomous vehicles. Spatial AI technologies help machines understand objects, spaces, and movement, allowing for more advanced navigation and interaction within complex environments.

How does a spatial AI specialist typically collaborate with cross-functional teams on large-scale projects?

Spatial AI specialists often work closely with data scientists, software engineers, and domain experts to develop and deploy intelligent spatial solutions. Their role involves integrating geospatial data with machine learning models, requiring frequent communication to align on project objectives, data requirements, and deployment strategies. Collaboration is key, especially when interpreting spatial data outputs for non-technical stakeholders and adapting models based on feedback from end users. Strong teamwork skills help ensure that spatial insights are actionable and support broader organizational goals.

What are the key skills and qualifications needed to thrive as a spatial AI engineer, and why are they important?

To excel as a Spatial AI Engineer, you need a solid background in computer vision, machine learning, and spatial data analysis, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as Python, TensorFlow, OpenCV, GIS software, and experience with 3D data processing are commonly required, along with relevant certifications in AI or spatial technologies. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that help bridge technical solutions and real-world applications. These skills enable the development of innovative AI-driven spatial solutions that are accurate, efficient, and effectively meet organizational or client needs.

What is the difference between Spatial Ai vs GIS Analyst?

AspectSpatial AiGIS Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and spatial data processingRequires degree in geography, GIS, or related field; certifications like GISP are common
Work EnvironmentTech-focused, often in software development or data science teamsGovernment agencies, environmental firms, urban planning departments
Industry UsageEmerging in industries leveraging AI for spatial data analysisEstablished in mapping, urban planning, environmental management
Search & Comparison IntentUnderstanding AI-driven spatial analysis rolesTraditional GIS data analysis and mapping roles

Spatial Ai focuses on applying artificial intelligence to spatial data, often involving machine learning and advanced algorithms. GIS Analysts primarily work with geographic information systems to analyze and visualize spatial data. While both roles handle spatial data, Spatial Ai emphasizes AI integration, whereas GIS Analysts focus on traditional GIS tools and methods.

What jobs are available for spatial Ai?

Jobs related to spatial AI include roles such as geospatial data analyst, GIS developer, remote sensing specialist, and spatial data scientist. These positions often require skills in geographic information systems, programming, and data analysis, and may involve working with tools like ArcGIS, QGIS, or Python. Opportunities are available in industries like urban planning, environmental management, transportation, and technology companies focused on location-based services.
More about Spatial Ai jobs

What cities are hiring for Spatial Ai jobs?

Cities with the most Spatial Ai job openings:

What states have the most Spatial Ai jobs?

States with the most job openings for Spatial Ai jobs include:

What job categories do people searching Spatial Ai jobs look for?

The top searched job categories for Spatial Ai jobs are:

Spatial Ai jobs near you
Infographic showing various Spatial Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $123,139 per year, or $59.2 per hour.

Product Manager, Spatial AI

Quidient

Columbia, MD • On-site

$155K - $200K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 hours ago

Job description

Quidient is a deep tech AI company pioneering advancements in Generalized (5D) Scene Reconstruction (GSR). GSR is poised to become one of the world's great digital product categories (think GPS, MRI, and LMM). Our flagship GSR product, Quidient Reality®, is a powerful API that enables anyone with a mobile device to virtualize, visualize, and measure anything. Words relevant to Quidient include Generative AI, Physics-Informed AI, Large Scene Models (LSMs), Large World Models (LWMs), and API-First.
Overview
We're seeking an exceptional Product Manager to turn Quidient's breakthrough Spatial AI technology into polished, scalable products that customers and developers adopt. This is a 0-to-1 role for a product leader who thrives at the intersection of user discovery, technical depth, go-to-market strategy, and platform thinking.
This is a hybrid position, meaning that you will need to live within easy driving distance to our Technology Center in Columbia, Maryland.
What You'll Do
Product Discovery & Definition
  • Lead user research and customer discovery across target markets to identify the highest-leverage problems Quidient's technology can solve.
  • Work closely with customers to understand user problems, then apply JTBD, HMW, design sprints, and first-principles thinking to translate insights into crisp product vision, MVP requirements, detailed Product Requirements and measurable success criteria.
  • Partner closely with engineering and solutions to define what is feasible, what is differentiated, and what should be built first.
  • Establish OKRs, KPIs, quality rubrics, and feedback loops that guide products from concept through product-market fit to global growth scale.
Launch, Platform & Growth
  • Drive products through definition, prototyping, build, launch, and post-launch iteration without losing sight of quality.
  • Roll up the sleeves to test and understand products inside and out, become the expert and champion as product lead.
  • Own go-to-market strategy for consumer and developer-facing launches, including positioning, messaging, channels, launch sequencing, and measurable outcomes.
  • Think in platform terms by connecting consumer product adoption with API adoption, developer experience, and third-party ecosystem growth.
  • Keep stakeholders aligned with transparent communication, cross-functional reviews, and clear product reasoning.
  • Responsible for going into the field to customers and to conferences to demo, product features and capabilities.
What You Bring
Must-Have Qualifications:
  • 5+ years of product management experience, including 2+ years with consumer-facing products.
  • Demonstrated 0-to-1 track record with software based products.
  • Deep fluency in 3DGS, NeRFs, photogrammetry, 3D reconstruction, or related spatial computing technologies.
  • Hands-on product experience with machine learning and computer vision systems.
  • Experience developing, launching, or scaling APIs as products.
  • Proven GTM ability, including positioning, launch strategy, channel selection, and measurable growth outcomes.
  • Experience running UXR programs, usability studies, design sprints, and data-driven product iteration.
  • Strong cross-functional leadership.
  • Willingness to work on-site in Columbia, MD, in a hybrid capacity.
  • Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:
  • Experience productizing deep-tech or research-stage technology for mainstream audiences.
  • Background in spatial computing, AR/VR, NVIDIA Omniverse, or emerging Spatial AI ecosystems.
  • Experience building and growing developer or technical communities from scratch.
  • Domain experience in automotive, AI training data, automated visual inspection, aerospace, defense/DoD, insurance, or digital content creation.
  • Consumer app launch experience (iOS/Android) with measurable growth outcomes.
  • Prior work at an early-stage startup in a founding or near-founding PM role.
What We Offer
Compensation:
  • Salary Range: $155,000 - $200,000
  • Annual bonus and equity as appropriate.
Benefits:
  • Health insurance
  • HSA
  • 401(k) with company match
  • Life & disability insurance
  • Paid holidays & generous PTO
  • Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement
Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.

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