Want to know if this job is worth applying to?
New York, New York, United States
Hybrid
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 an Engineering Manager to lead a distributed Platform team to help us build and operate Radar’s infrastructure, developer platform, and data systems in order to make Radar the most reliable and trusted location platform in the world. You will be responsible for supporting a team and driving a roadmap that makes Radar’s services scalable and highly available worldwide. Your focus will be in the application layer, but you will also help connect application and infrastructure development through automated tooling and workflows. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used on over 300MM devices worldwide.
The stack:
The API layer is a Node.js + TypeScript app.
We ship SDKs for iOS, Android, React Native, and more.
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 .
We use Terraform to manage our infrastructure.
We deploy everything to AWS via EKS.
We use MongoDB deployed to Atlas.
We do CI and deployments via CircleCI.
We monitor production with CloudWatch, Grafana, Pingdom and PagerDuty.
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.
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. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful.
One of the hardest and most valuable practices we have is Walk A Mile - which is shorthand for putting yourself in the user's shoes - but also for literally walking a mile and dogfooding the Radar SDK, because you can't create location infrastructure behind a desk - you have to see how the device behaves in the real world. To us, a week is a long time, and we expect to ship big things every week.
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:
Manage, grow, and mentor a globally distributed Platform team
Lead a team of engineers and provide technical leadership across backend, frontend and mobile tech stacks
Work on core Radar technology using TypeScript, Rust, Python and Scala.
Collaborate with our product engineering and SRE teams to build highly available systems with 99.99%+ monthly uptime.
Work with product, SRE, and data teams to enable self-serve capabilities, including build/test/deploy infrastructure, observability improvements, data pipeline investments, and automation.
Build and support core platform capabilities like IAM, feature flagging, application rate limiting, and more.
Drive development of our internal development platform, including supporting our server, frontend, mobile, and desktop frameworks, and integrating safe AI-enabled development practices throughout our SDLC.
With QA, enable test automation and coverage for developers throughout our application, data, and infrastructure stack.
Be part of the on-call rotation
Help integrate security and compliance practices into every stage of the development lifecycle, from design to deployment.
Have your work power 1 billion+ API calls a day and used on 300MM+ devices
Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful
You should:
Have a good understanding of coding practices and system design, and be strongly familiar with infrastructure technologies.
Have experience at a high growth startup and shipped software working at high scale
Think of yourself as a generalist engineer first, not tied to any particular stack
Be interested in talking to customers or prospects and making them successful
Bonus points if you:
Are a former technical co-founder
Have experience with high throughput data intensive applications
You’ll work with
Tim Julien, CTO
Leo Kim, VP Platform Engineering
Our Engineering, Customer Success, Sales Engineering and Sales teams
Our customers and prospects
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
We’ll share full details of our benefits package at the offer stage. Benefits may vary by location.
Radar is an equal opportunity employer and does not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, or any other characteristic protected by law.
