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Spatial Ai Jobs (NOW HIRING)

Duranta

Founding Account Executive

Seattle, WA

$150K - $250K/yr

You will be the face of spatial AI for industries transitioning from analog to hyper-advanced tech. WHAT WE ARE LOOKING FOR * An Elite Track Record: 5+ years of verified, quota-exceeding sales ...

Niantic Spatial

Head of Legal

San Francisco, CA · On-site

$250/hr

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 ...

Duranta

Founding Account Executive

Seattle, WA · On-site

$150K - $250K/yr

You will be the face of spatial AI for industries transitioning from analog to hyper-advanced tech. WHAT WE ARE LOOKING FOR * An Elite Track Record: 5+ years of verified, quota-exceeding sales ...

TechSee

VP of Marketing

Manhattan, NY · On-site

By combining computer vision, spatial intelligence, conversational AI, and augmented reality, TechSee empowers enterprises to diagnose issues, guide customers, and automate complex service ...

Higharc

Research Engineer

In this role, you'll conduct foundational research in spatial AI for residential construction - developing novel approaches at the intersection of reinforcement learning, computer vision, LLMs, and ...

Niantic Spatial, Inc

Head of Legal

San Francisco, CA · On-site

$270K - $340K/yr

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 ...

Augmodo

Technical Program Manager

California, MO · On-site

$150 - $200/hr

Lead the technical plan to scale spatial AI from to rollouts of hundreds of stores per partner. Manage end-to-end logistics across hardware, firmware, software deliverables, and on-site setup. * Own ...

Apple

Places Data and ML Director

Cupertino, CA · On-site

Passionate about Generative AI, Computer Vision, Spatial AI and other emerging technologies? This could be the perfect opportunity for you! Description Maps are a reflection of the physical world ...

Hovercraft

Spatial Designer (Freelance)

$75/hr

The Role Hovercraft is looking for a creative Spatial Designer to create brand experience work for ... Recruitment Notice We use AI-assisted tools solely to help identify and highlight keywords related ...

PepsiCo

Digital Product Sr Manager - Spatial Twin

Plano, TX · On-site

$150 - $200/hr

... and AI-driven digital twins. The Product Owner will work closely with business stakeholders ... Responsibilities Spatial Digital Twin Product Strategy * Own the vision and roadmap for the Spatial ...

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How much do spatial ai jobs pay per year?

As of Sep 9, 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.
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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:

What other helpful pages are available for Spatial Ai?

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Spatial Ai jobs near you
Infographic showing various Spatial Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $123,139 per year, or $59.2 per hour.

Director, Spatial Data Management

Remote

Cushman & Wakefield
Real Estate • 10K+ employees
Learn more about Cushman & Wakefieldexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 5 days ago

Cushman & Wakefield rating

7.4

Company rating: 7.4 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

114th of 209 rated real estate companies

Job description

Job Title
Director, Spatial Data Management
Job Description Summary
Job Description
What You Will Do
Lead the spatial data capability
  • Define and evolve spatial data standards, governance frameworks, and best practices.
  • Create repeatable processes for data quality, stewardship, audit readiness, and consistency.
  • Drive alignment across clients, tools, regions, and service delivery models.

Apply spatial data through a business lens
  • Translate spatial data discipline into practical business value for clients and the practice.
  • Improve reporting integrity, implementation quality, scalability, and decision support.
  • Use spatial and occupancy data to support predictive, data-driven decisions based on current occupancy models.
  • Optimize, implement, and manage advanced spatial systems that measure utilization and align workplace environments to business needs, helping increase operational effectiveness and productivity.
  • Help assess where modernization-including emerging AI opportunities-may improve workflows, reporting, or client value.

Partner with technology teams
  • Work closely with technology teams to support workplace technology implementations, re-implementations, and ongoing enablement.
  • Translate business needs into data, process, and platform requirements.
  • Help ensure data standards and governance align to implementation realities.

Modernize methods and delivery
  • Refresh and document playbooks, methodologies, process maps, and guidance related to space allocation, planning, audits, utilization, and live occupancy.
  • Build practical frameworks that improve repeatability, quality, and consistency across the practice.
  • Drive disciplined, constructive conversations about process, accountability, decision rights, and consistency to improve service delivery at scale.

Support clients and practice growth
  • Serve as a trusted advisor on spatial data integrity and modern space management practices.
  • Partner with clients to connect occupancy, utilization, and planning data to strategic workplace and portfolio decisions.
  • Contribute to thought leadership, reusable content, and practice development efforts.
  • Identify opportunities to strengthen service delivery and support client growth.
What We Are Looking For
  • Significant experience in Spatial Data Management, workplace data, occupancy data, or related space management disciplines.
  • Strong experience in data governance, data consistency, stewardship, standards development, and quality control.
  • Experience applying data discipline through a business lens, including the ability to connect technical or operational work to business and client outcomes.
  • Experience partnering with technology teams to support system implementation, platform enablement, or business-to-technology translation.
  • Experience supporting workplace, occupancy, reservation, IWMS, or related workplace technology platforms.
  • Strong client-facing communication, collaboration, and leadership skills.
  • Experience creating playbooks, methodologies, standards, process documentation, or best-practice content.
  • A genuine appreciation for documentation and the discipline required to create clear, scalable, and reusable standards, workflows, and guidance.
  • Comfort leading direct, thoughtful, and sometimes hard conversations about process, governance, accountability, and ways of working.
  • Experience using occupancy, utilization, or spatial data to support forecasting, planning, and real estate decision-making.
  • Ability to influence across functions and help mature a growing capability area.
  • Ability to work effectively across regions, cultures, and time zones in support of a globally connected practice.
Preferred Qualifications
  • Experience with one or more major occupancy, reservation, IWMS, or space management platforms.
  • Experience supporting re-implementation or workplace modernization efforts.
  • Experience developing thought leadership content, case studies, or practice materials.
  • Familiarity with evolving technology trends impacting workplace platforms and data requirements, including an interest in how AI may influence workflows and service delivery.
  • Experience supporting growth initiatives, proposal coordination, or operational enablement.
  • Experience supporting global or multi-region clients, teams, or service delivery models.
Leadership Profile
The ideal candidate is a strategic leader who can connect strong spatial data discipline to measurable business value.
You bring credibility across business and technology teams, are comfortable in client-facing environments, and can move effectively between strategy and execution.
You know how to create structure where work is fragmented, improve consistency at scale, translate business needs into practical solutions, and use documentation and disciplined process conversations to drive lasting change.
Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $ 114,750.00 - $135,000.00
Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
INCO: "Cushman & Wakefield"

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