Radar Visa Sponsorship Jobs USA
Radar operates in the Consulting and Professional Services space, where project-based work and specialized expertise often align well with employment-based visa pathways. The company has sponsored Green Card cases, making it a viable target for foreign nationals seeking long-term work authorization in the United States.
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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 Product Engineers to build machine learning-based anti-fraud systems into core Radar products. The ideal engineer for this role is someone who is primarily an ML engineer, and has built fraud detection models but wants to broaden their skills into other stacks like server or data. The perfect candidate will see themselves as a generalist who has built real ML systems and is ultimately motivated by driving impact to products and customers by building end-to-end features that leverage machine learning to prevent fraud.
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
We have systems that leverage LightGBM and random forests using scikit and Rust and we need to build out new systems impacting additional products. The server is a TypeScript Node.js app and a Geospatial Rust database we built called HorizonDB. We use MongoDB, S3/Athena, Redis, Airflow and everything is deployed to AWS. Most engineers are in the on-call rotation.
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 ML infrastructure built with Python, Rust, Airflow, Spark and new systems you build
Build new systems for our Fraud products: anomaly detection, user and device risk scores, device fingerprinting, and emerging threat vectors
Work on features across several of backend, data infra and ML
Push the limits of fraud detection using many sensors on iOS and Android
Have your work run on 300M+ devices
Talk to Radar customers and prospects, hear their feedback, incorporate it into your work, and make them successful
You Should
Have experience building machine learning based fraud detection products in production at scale
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 experience with anomaly detection, anti-fraud ML systems
You’ll Work With
Nick Patrick, Co-Founder and CEO
Tim Julien, CTO
David Gurevich, Engineer
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.
Compensation Range: $200K - $300K
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 Product Engineers to build machine learning-based anti-fraud systems into core Radar products. The ideal engineer for this role is someone who is primarily an ML engineer, and has built fraud detection models but wants to broaden their skills into other stacks like server or data. The perfect candidate will see themselves as a generalist who has built real ML systems and is ultimately motivated by driving impact to products and customers by building end-to-end features that leverage machine learning to prevent fraud.
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
We have systems that leverage LightGBM and random forests using scikit and Rust and we need to build out new systems impacting additional products. The server is a TypeScript Node.js app and a Geospatial Rust database we built called HorizonDB. We use MongoDB, S3/Athena, Redis, Airflow and everything is deployed to AWS. Most engineers are in the on-call rotation.
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 ML infrastructure built with Python, Rust, Airflow, Spark and new systems you build
Build new systems for our Fraud products: anomaly detection, user and device risk scores, device fingerprinting, and emerging threat vectors
Work on features across several of backend, data infra and ML
Push the limits of fraud detection using many sensors on iOS and Android
Have your work run on 300M+ devices
Talk to Radar customers and prospects, hear their feedback, incorporate it into your work, and make them successful
You Should
Have experience building machine learning based fraud detection products in production at scale
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 experience with anomaly detection, anti-fraud ML systems
You’ll Work With
Nick Patrick, Co-Founder and CEO
Tim Julien, CTO
David Gurevich, Engineer
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.
Compensation Range: $200K - $300K
Job Roles at Radar
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Get Access To All JobsTips for Finding Radar Visa Sponsorship Jobs USA
Target roles that align with Green Card sponsorship
Radar's sponsorship activity has focused on the EB-2 and EB-3 pathways, which require demonstrated professional expertise. Prioritize roles that demand a specific degree and specialized skills, as these are most likely to support an employment-based Green Card case.
Understand the consulting industry's sponsorship dynamics
Consulting firms often sponsor visas tied to specific client engagements or internal practice areas. When applying to Radar, be prepared to articulate how your role serves a defined business need rather than a generalist function, this strengthens the sponsorship case significantly.
Focus your application on specialized, hard-to-fill expertise
Professional services firms sponsor employees whose skills are difficult to source domestically. Highlight niche technical skills, industry certifications, or domain knowledge in your application materials to position yourself as a strong Green Card sponsorship candidate at Radar.
Ask about sponsorship timelines during the interview process
EB-2 and EB-3 cases involve multi-step processes with the Department of Labor and USCIS. Raise the sponsorship conversation early with Radar's HR or recruiting team so you understand their internal process and can plan your timeline accordingly.
Filter for verified sponsors before applying
Not every consulting firm is willing to sponsor, even if they're hiring. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus your energy on companies like Radar that have a documented track record of supporting foreign national employees.
Prepare for a thorough documentation process
Green Card sponsorship through EB-2 or EB-3 requires detailed documentation of your qualifications, job duties, and prevailing wage compliance. Before accepting an offer from Radar, confirm the company works with experienced immigration counsel to manage these requirements.
Frequently Asked Questions
Does Radar sponsor H-1B visas?
Based on available sponsorship data, Radar has not demonstrated recent H-1B visa sponsorship activity. Its documented sponsorship has been focused on employment-based Green Card pathways, specifically EB-2 and EB-3 categories. If H-1B sponsorship is a requirement for your situation, clarify this directly with Radar's recruiting team during early conversations.
What visa types does Radar sponsor?
Radar's sponsorship activity has centered on employment-based immigrant visa categories, specifically EB-2 and EB-3 Green Cards. These pathways are suited to professionals with bachelor's or advanced degrees and documented work experience. Candidates seeking nonimmigrant work visa sponsorship should confirm Radar's current capabilities directly with the company's HR or legal team.
Which roles at Radar are most likely to receive visa sponsorship?
In consulting and professional services firms like Radar, sponsorship tends to be concentrated in specialized roles requiring specific educational credentials and technical or domain expertise. Positions tied to defined client deliverables or practice areas, rather than generalist support functions, are typically stronger candidates for employment-based Green Card sponsorship.
How do I find open jobs at Radar that offer visa sponsorship?
Migrate Mate is the most efficient way to find roles at Radar and other verified sponsors. Rather than sifting through job listings that don't disclose sponsorship willingness, Migrate Mate lets you filter by companies with a real history of sponsoring foreign national employees, so you can apply with confidence that sponsorship is on the table.
How do I approach the application process at Radar as a visa sponsorship candidate?
Start by confirming that the role you're applying for aligns with EB-2 or EB-3 eligibility requirements, typically a position requiring a specific degree and specialized knowledge. Raise the sponsorship question during the offer stage rather than the initial screening. Come prepared with documentation of your qualifications, and ask whether Radar works with outside immigration counsel to manage the PERM and USCIS filing process.