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Remote Geolocation Jobs (NOW HIRING)

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Remote Geolocation information

See salary details

$72K

$120.8K

$158K

How much do remote geolocation jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote geolocation in the United States is $120,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $141,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Geolocation Specialist, and why are they important?

To thrive as a Remote Geolocation Specialist, you need strong analytical skills, proficiency in GIS (Geographic Information Systems), and a relevant degree in geography, geoinformatics, or a related field. Familiarity with tools such as ArcGIS, QGIS, GPS technology, and remote sensing software is typically required, and certifications like GISP can be advantageous. Attention to detail, problem-solving abilities, and effective communication help specialists interpret data accurately and collaborate with cross-functional teams. These skills ensure precise location data analysis, support decision-making, and enhance the reliability of geolocation solutions.

What are some common challenges faced by professionals working in remote geolocation roles?

Professionals in remote geolocation roles often encounter challenges related to data accuracy and connectivity, especially when working with real-time location data from diverse sources. Ensuring the precision of geospatial data while collaborating across distributed teams can require strong communication and coordination skills. Additionally, adapting to rapidly changing technologies and maintaining up-to-date knowledge of mapping tools and geolocation standards is essential for continued success in the field.

What is the difference between Remote Geolocation vs Remote Network Technician?

AspectRemote GeolocationRemote Network Technician
Required CredentialsGeolocation certifications, GPS technology knowledgeNetworking certifications (e.g., CompTIA Network+), IT skills
Work EnvironmentLocation-based data analysis, GPS toolsRemote troubleshooting, network setup, and maintenance
Employer & Industry UsageLogistics, mapping, location servicesIT, telecommunications, corporate networks
Search & Comparison IntentUnderstanding geolocation services remotelyRemote network troubleshooting roles

Remote Geolocation focuses on analyzing location data and GPS technology, often within logistics or mapping industries. Remote Network Technicians handle network setup, troubleshooting, and maintenance remotely, primarily in IT and telecommunications. While both roles can be performed remotely, they require different skill sets and certifications. The comparison helps job seekers identify the right role based on their expertise and industry focus.

What is remote geolocation?

Remote geolocation refers to the process of determining the physical location of a device, person, or object without direct contact, usually through the use of GPS, Wi-Fi, IP addresses, or cellular networks. Professionals in this field analyze data from various remote sensing technologies to pinpoint or track locations globally. Remote geolocation is widely used in applications such as navigation, asset tracking, emergency response, and location-based services. It plays a critical role in industries like logistics, security, and telecommunications.
What cities are hiring for Remote Geolocation jobs? Cities with the most Remote Geolocation job openings:
What are the most commonly searched types of Geolocation jobs? The most popular types of Geolocation jobs are:
What states have the most Remote Geolocation jobs? States with the most job openings for Remote Geolocation jobs include:
Infographic showing various Remote Geolocation job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution, with an average salary of $120,809 per year, or $58.1 per hour.

Senior / Staff Product Engineer, Backend

Radar Labs, Inc

New York, NY • On-site, Remote

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

About Radar
Radar is the global leader in geolocation, with geofencing SDKs, maps APIs, and AI-enabled solutions for marketing, fraud, and operations teams.
Why is Radar the best place to work?
  • We're trusted by some of the world's best companies, from high-growth startups to the Fortune 500.
  • We have incredible scale: We're processing over 1 billion API calls per day from hundreds of millions of devices.
  • We're well-resourced, and we've raised $85.5M from world-class investors, including Accel and Insight Partners.
  • We have a high-performance culture, with ambitious and entrepreneurial teammates in every role.
  • We recently moved into an amazing new office in Flatiron, Manhattan, NYC.
  • We were recently named a top 10 best place to work in NYC by Crain's.

Despite our growth and scale, we're still just getting started. That's where you come in.
About the role:
We're looking for Backend Product Engineers to extend the core Radar platform. Our daily traffic is 1 Billion API calls / day (15,000 requests / second) so you will be operating at scale. This role can either be in our NYC HQ or remote in the US.
How we work:
Most of our engineering team are former technical co-founders or former Radar interns from schools like Waterloo and CMU. Most engineers at Radar fit one of two molds, technically: either Staff level expertise in one stack, or "Multi-Stack" at any level. We say "Multi-Stack" because "Full-Stack" has the connotation of "Frontend and Backend", but Radar Engineers might also work on Mobile or Data engineering. Not that you need to be an expert in all of those, but a desire to learn, jump around to different stacks, and get things done is the important part.
We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done. We meet on Mondays to plan out work for the week in small groups and use Linear for planning.
To us, a week is a long time, and we expect to ship big things every week.
The stack:
The API layer is a Node.js TypeScript app.
Our main backend service is a geospatial database written in Rust that we call HorizonDB.
We use MongoDB, S3/Athena, Redis, and Airflow.
Everything is deployed to AWS via Kubernetes on EKS using Terraform .
Most engineers are in the on-call rotation.
We sponsor OpenStreetMaps, MapLibre, and OpenAddresses.
How we use AI:
  • Engineers choose what AI tools they use, Claude and Codex being the most popular.
  • We're actively building Claude skills - for example we've taught it how to debug HorizonDB, our geospatial database.
  • All code changes are reviewed by an Engineer knowledgeable in that area. Claude and Codex also review all PRs.
  • There is a range of how much engineers use AI. Most use it daily if not weekly.
  • We are excited about what AI can do, but we also recognize the risks and don't compromise our coding standards.

The hiring process:
After a call with our Technical Recruiter, you'll do several technical Zoom calls with members of our engineering team: code screen, coding round, and system design round. If those go well we'll invite you to our NYC HQ for a final round interview. You'll meet one of our co-founders, someone from outside engineering, and meet more people from Radar. We'll go into more depth about how we work to see if there is a match.
What you'll do:
  • Work on core Radar products using TypeScript, Rust, Python and Scala
  • Work on features across the backend API layer and offline pipelines
  • Have your work power 1 Billion API calls / day
  • Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful

You should:
  • Think of yourself as a generalist engineer first, not tied to any particular stack
  • Are interested in talking to customers or prospects and making them successful
  • Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them

Bonus points if you:
  • Are a former technical co-founder
  • Have worked on a high throughput, high growth SaaS application
  • Have worked on geospatial infrastructure

You'll work with:
  • Nick Patrick, Co-Founder and CEO
  • Tim Julien, CTO
  • Our customers and prospects
  • Our Customer Success, Sales Engineering, and Sales teams

What we offer:
  • Competitive salary
  • Meaningful stock options in a fast-growing company
  • 401(k) plan with 4% match
  • New HQ in Flatiron, NYC
  • Top-notch equipment
  • Catered lunches
  • Unlimited PTO
  • Health, dental, and vision insurance with 100% coverage for employees
  • 12 weeks of paid parental leave
  • Commuter and fitness benefits

Compensation:
For candidates based in the United States, the base salary range for this full-time position is between $200,000 - $300,000/year with an opportunity for performance bonuses and incentives.
In addition to cash compensation, Radar offers full-time employees stock option grants under its equity plan. This is a meaningful ownership stake in the company we provide to our employees as we build a category-defining company.
Our salary ranges are determined by role, level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Your exact offer may vary based on market location, job-related skills, experience, and relevant education or training.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.