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Geospatial Analytics Jobs in California (NOW HIRING)

Voyager Technologies

Software Engineer

El Segundo, CA · On-site

... geospatial visualization, analysis, and data distribution • Design and implement database architectures, schemas, and data models supporting geospatial datasets • Contribute to system ...

LLNL

Energy Resilience Data Scientist

Livermore, CA · On-site

Demonstrated experience performing geospatial analytics in Python, using GeoPandas or equivalent geospatial tools and libraries. * Comprehensive knowledge and experience in developing data-driven ...

LLNL

Energy Resilience Data Scientist

Livermore, CA · On-site

Demonstrated experience performing geospatial analytics in Python, using GeoPandas or equivalent geospatial tools and libraries. * Comprehensive knowledge and experience in developing data-driven ...

LLNL

Energy Resilience Data Scientist

Livermore, CA

Demonstrated experience performing geospatial analytics in Python, using GeoPandas or equivalent geospatial tools and libraries. * Comprehensive knowledge and experience in developing data-driven ...

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Showing results 1-20

All JobsGeospatial Analytics JobsGeospatial Analytics Jobs in California

Geospatial Analytics information

See California salary details

$21.7K

$76.5K

$120.4K

How much do geospatial analytics jobs pay per year?

As of Jun 11, 2026, the average yearly pay for geospatial analytics in California is $76,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $79,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Geospatial Analytics professional, and why are they important?

To thrive in Geospatial Analytics, you need strong spatial analysis skills, proficiency in geographic information systems (GIS), and a background in geography, computer science, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing software, and programming languages like Python or R is typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex spatial data and presenting findings to diverse stakeholders. These skills and qualifications are important for delivering actionable insights that inform decision-making across industries such as urban planning, environmental management, and logistics.

What is a geospatial job?

A geospatial job involves analyzing and interpreting geographic data using tools like GIS (Geographic Information Systems), remote sensing, and spatial analysis software. Professionals in this field work on mapping, spatial data management, and geographic problem-solving to support sectors such as urban planning, environmental management, and transportation.

What is the difference between Geospatial Analytics vs GIS Analyst?

AspectGeospatial AnalyticsGIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; proficiency in spatial analysis toolsBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentData analysis, modeling, and visualization in offices or remote settingsMap creation, data management, and spatial data editing in GIS software environments
Industry UsageUsed across industries like urban planning, environmental science, and transportation for data-driven decisionsPrimarily in government agencies, consulting firms, and environmental organizations for mapping and data management

While both roles involve spatial data, Geospatial Analytics focuses on analyzing and interpreting geographic data to derive insights, whereas a GIS Analyst primarily manages and creates geographic information systems and maps. Both roles often overlap but serve different core functions within the geospatial industry.

What are some common challenges faced by professionals in geospatial analytics, and how can they be addressed?

Professionals in geospatial analytics often encounter challenges such as managing large, complex datasets, ensuring data accuracy, and integrating information from diverse sources. To address these, it's important to develop strong skills in data cleaning, validation, and familiarity with various GIS and remote sensing tools. Collaboration with IT specialists and subject matter experts can also help streamline workflows and improve data integration. Staying updated on the latest industry software and best practices is key to overcoming technical hurdles and delivering actionable insights.

What does a geospatial engineer do?

A geospatial engineer analyzes and interprets geographic data using GIS (Geographic Information Systems), remote sensing, and mapping tools. They develop spatial models, create maps, and support decision-making processes in fields like urban planning, environmental management, and infrastructure development.

What does geospatial mean?

Geospatial refers to data that is related to specific locations on the Earth's surface, often used in geospatial analytics roles to analyze spatial patterns and relationships. It involves working with geographic information systems (GIS), mapping tools, and spatial data analysis techniques to support decision-making and problem-solving.

What is the meaning of geospatial data?

Geospatial data refers to information that identifies the geographic location and characteristics of natural or man-made features on the Earth's surface. In geospatial analytics, this data is used with GIS tools and spatial analysis techniques to interpret patterns, relationships, and trends related to location-based information.

What is geospatial analytics?

Geospatial analytics is the process of gathering, analyzing, and interpreting data that is associated with specific locations on the Earth. It combines geographic information systems (GIS), satellite imagery, GPS data, and other spatial data sources to uncover patterns, relationships, and trends. Geospatial analytics is widely used in fields like urban planning, environmental science, disaster response, and business intelligence to make data-driven decisions based on location-specific insights.
What are popular job titles related to Geospatial Analytics jobs in California? For Geospatial Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Geospatial Analytics jobs in California look for? The top searched job categories for Geospatial Analytics jobs in California are:
What cities in California are hiring for Geospatial Analytics jobs? Cities in California with the most Geospatial Analytics job openings:
Geospatial Analytics jobs near you
Technical Product Manager, 3D Geospatial Products

Technical Product Manager, 3D Geospatial Products

Array Labs

Redwood City, CA

$204K - $236K/yr

Full-time

Posted 13 days ago

Job description

About Us

Array Labs is building a new way to understand the physical world.

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.

Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.

We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.

About the Job

Array is looking for a product leader to define and deliver the next generation of 3D geospatial data products.

As Product Manager, 3D Geospatial Products, you will own the product vision and roadmap for turning optical and radar satellite imagery into market-ready 3D products. You will determine what we build, what performance levels matter, how customers evaluate quality, and how we prioritize across collection strategy, reconstruction algorithms, data processing pipelines, APIs, data formats, visualization, and analytics.

Array’s 3D products will be built from multiple forms of imagery and collection geometry, including stereo collections, multi-pass imagery, radar imagery, optical imagery, and fused optical/radar data. You will work at the intersection of customer need, technical feasibility, data production, and software delivery, helping Array translate a fundamentally new sensing capability into repeatable products customers can understand, buy, evaluate, and use.

You will work closely with software engineering, algorithms, mission operations, program management, business development, and the executive team to ensure Array builds the right products, sequences them intelligently, and delivers them with the quality, reliability, and usability required for commercial and government adoption.

Responsibilities
  • Own the roadmap for Array’s 3D geospatial data products, including products derived from optical imagery, radar imagery, stereo collections, multi-view collections, and optical/radar fusion
  • Define product requirements for 3D data products, including resolution, accuracy, coverage, latency, update rate, metadata, validation approach, delivery format, and customer-facing evaluation criteria
  • Translate customer needs into clear product specifications, roadmap priorities, technical tradeoffs, and product decisions
  • Partner with algorithms and software engineering teams to prioritize reconstruction methods, processing pipelines, quality-control systems, and data delivery capabilities
  • Work with go-to-market, business development, and program teams to support customer discovery, product demonstrations, data evaluations, proposals, early deployments, and feedback loops
  • Define and track product metrics tied to customer adoption, delivery performance, data quality, product reliability, and business outcomes
  • Write and maintain product requirements, roadmap documents, customer-facing product definitions, evaluation plans, and internal decision memos
Basic Qualifications
  • 5+ years of experience in product management, technical product management, solutions engineering, or related roles
  • Experience working with technical, data-heavy, geospatial, imagery, or software products
  • Ability to translate customer needs into clear product requirements
  • Strong cross-functional communication skills across engineering, business, and operations teams
  • Strong written and verbal communication skills
  • Bachelor’s degree in computer science, engineering, geospatial science, or equivalent experience
  • Ability to travel as needed
Preferred Skills & Experience
  • Experience with photogrammetry, stereo imagery, multi-view reconstruction, LiDAR, point clouds, meshes, DEMs, DSMs, or other 3D geospatial data products.
  • Experience with satellite imagery, aerial imagery, radar, SAR, Earth observation, or other remote sensing systems.
  • Experience launching a net-new imagery, mapping, analytics, data platform, or geospatial product.
  • Experience with data-centric products, including APIs, data pipelines, cloud processing systems, visualization platforms, geospatial file formats, and customer data delivery workflows.
  • Proficiency with Python, SQL, GIS tools, or other tools commonly used in data-heavy or imagery-based workflows.
  • Experience working with commercial enterprises using geospatial data in markets such as infrastructure, utilities, mining, insurance, mapping, telecommunications, agriculture, or energy.
  • Prior experience working with the Department of War, Intelligence Community, civil government, or national security customers.
  • Familiarity with AI, automation, or machine learning applied to geospatial, imagery, or physical-world data workflows.
  • Experience working in a startup or fast-moving technical organization where product definition, customer discovery, and engineering execution happen in parallel.
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
 
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
 
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
 
 
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
 
 
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
 
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.
 
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
 
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
 
If you require a reasonable accommodation during the application or interview process, please let us know.