RADAR

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 Platform Engineers 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. Our daily traffic is 1 Billion API calls / day (15,000 requests / second), so you will be operating at scale in helping our engineers deliver features quickly and at high quality. 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. - 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 . - 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 - Build highly available systems with 99.99%+ monthly uptime - Work with 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 product capabilities like IAM, feature flagging, application rate limiting, and more. - Own 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. - 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 / 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: - Tim Julien, CTO - Leo Kim, VP Platform - 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.

Role Description Radar RH contrata: CONSULTOR(A) DE RECRUTAMENTO E SELEÇÃO RADAR - Regime de contratação: PJ – prestador de serviço MEI ou SLU, sem exclusividade - Remuneração: a combinar - Formato de trabalho: home office, com eventuais reuniões presenciais, com despesas arcadas pela empresa - Horário de trabalho: flexível, de segunda a sexta-feira, em horário comercial - Residente: Curitiba/PR ou nos estados de RS, SC, PR e SP Atividades: - Alinhamento de perfil e requisitos com gestores - Elaboração e atualização de descrições de vaga - Definição de estratégias e canais de atração - Divulgação de vagas em diferentes plataformas - Triagem de currículos - Realização de entrevistas individuais e em grupo - Aplicação e correção de testes e avaliações comportamentais ou técnicas - Contato e alinhamento de expectativas com candidatos - Elaboração de pareceres e devolutivas para gestores - Feedback para candidatos aprovados e não aprovados - Atualização de registros, controles e planilhas - Participação em projetos e melhorias contínuas nos processos de recrutamento e seleção - Realização de hunting, captação ativa e prospecção de profissionais em diversos canais - Manutenção e atualização de banco de talentos - Apoio à construção e gestão do pipeline de candidatos para vagas estratégicas Qualifications - Graduação completa em Gestão de RH, Administração, Psicologia ou áreas relacionadas - Necessária experiência em recrutamento e seleção de vagas de todos os níveis e em gestão de alto volume de vagas - Vivência em hunting, banco de talentos, captação ativa e prospecção de candidatos - Conhecimento ou atuação prévia em escritório jurídico será considerado um enorme diferencial - Conhecimento avançado em Pacote Office, Agenda Google, Gmail, WhatsApp Business, Teams, Zoom, OneDrive e Bitrix24 - Perfil comunicativo, com excelente redação, comprometido, proativo, responsável, multitarefas, versátil, confiável, organizado, com interesse em aprender e habilidades interpessoais para lidar com diferentes públicos Company Description

Role Description We are seeking a Headhunter to join our team. The role involves: - Realizar busca ativa de profissionais por meio de hunting e prospecção. - Mapear e abordar candidatos em diferentes canais. - Alimentar e manter atualizado o banco de talentos. - Conduzir triagens e entrevistas. - Apoiar na avaliação técnica e comportamental dos candidatos. - Manter o pipeline de seleção organizado e ativo. - Identificar talentos para vagas estratégicas. - Apoiar os times de recrutamento e consultoria na conexão entre perfis e oportunidades. Qualifications - Formação em RH, Administração, Psicologia, Direito ou áreas correlatas. - Cursos e certificações em recrutamento e seleção, hunting, gestão de pessoas ou avaliação comportamental são considerados diferenciais. - Experiência prévia em recrutamento e seleção, hunting, prospecção ativa de candidatos e manutenção de banco de talentos. - Vivência em vagas estratégicas, perfis técnicos e posições de média e alta complexidade. - Capacidade de conduzir entrevistas e avaliar competências técnicas e comportamentais. - Domínio de Pacote Office e ferramentas digitais, como WhatsApp, Teams, Zoom e OneDrive. - Familiaridade com Bitrix24 será um diferencial. - Conhecimento ou atuação prévia em escritório jurídico será considerado um enorme diferencial. - Perfil analítico, comprometido, proativo, responsável, multitarefas, versátil, confiável e organizado. - Boa comunicação, postura consultiva, empatia e habilidades interpessoais para lidar com diferentes públicos. Requirements - Residência em Curitiba/PR ou estados do RS, SC, PR e SP. - Horário de trabalho: comercial, com flexibilidade de segunda a sexta-feira. - Regime de contratação: PJ – prestador(a) de serviço (MEI ou SLU), sem exclusividade. - Remuneração: a combinar. - Formato de trabalho: home office, com eventuais reuniões presenciais, com despesas arcadas pela empresa. Company Description

Title: Senior Marketing Analyst Location: Kansas City, MO, Columbia, MO, and St. Louis, MO Job Description: Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship. The Senior Marketing Analyst serves as a subject matter expert in marketing data architecture, media performance analysis, and data visualization. Working within our agency’s analytics department, this role is responsible for driving innovation in how we track and report on client success. The Senior Marketing Analyst guides our data team on building complex data connections between Google Analytics and the media platforms, builds and maintains sophisticated automated dashboards in Tableau, and translates multi-channel media data into actionable insights for strategists and clients. This individual will manage the full lifecycle of marketing data, from ingestion and validation to visualization, while providing mentorship and technical guidance to the broader analytics team. Essential Duties and Responsibilities (Other duties may be assigned) - Media Performance Subject Matter Expertise: Demonstrate deep expertise in marketing data connection, manipulation, and visualization, staying ahead of industry trends in AdTech and MarTech. - Dashboard Development & Maintenance: Lead the development and ensure the integrity of automated client reports and interactive dashboards. - Advanced Media Analysis: Execute comprehensive performance analyses across various media channels (Paid Search, Social, Programmatic, etc.) to identify trends, optimizations, and ROI drivers. - Strategic Communication: Translate complex datasets into clear "storytelling" insights for internal strategists and external stakeholders, providing context on how data impacts business objectives. - Pipeline Management: Manage and optimize processes for data intake and validation from various Media Platforms and Google Analytics, ensuring the integrity of the agency’s data ecosystem. - Process Innovation: Adhere to and improve internal documentation and data management protocols to ensure scalability across client accounts. - Mentorship & Training: Share technical expertise with the team to foster a high-growth learning environment; assist in training new hires and mentoring junior analysts on best practices in marketing analytics. - Agency Collaboration: Maintain accurate time records and participate in internal training and client-facing meetings as the technical authority on media performance. Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - Professional Experience: Minimum of 3–5 years of experience in marketing data, media performance analysis, and visualization (agency experience is a significant plus). - Tableau Mastery: Proficiency with a BI tool (Tableau, Power BI, or Looker) for building complex, automated marketing dashboards and data modeling. - Google Analytics: Strong experience with GA4 reporting, including UTM setup and structure, event tracking, and traffic analysis. - Media Platforms: Deep familiarity with reporting interfaces and data exports from major platforms (e.g., Meta Ads Manager, Google Ads, LinkedIn Campaign Manager, and Programmatic DSPs). - Marketing Storytelling: Ability to bridge the gap between technical data and marketing strategy, presenting findings in a way that is accessible to non-technical audiences. - Documentation: Proven ability to create training materials and SOPs for data processes. Preferred Skills - SQL: Experience using SQL for data querying and manipulation within cloud-based warehouses (e.g., BigQuery). - Data Engineering: Familiarity with ETL processes and API integrations for marketing tools to guide our data team. - Statistical Modeling: Experience with attribution modeling, media mix modeling (MMM), multi-touch attribution (MTA), or A/B testing methodology. - Leadership: Experience leading projects or mentoring junior team members in a professional setting. Education - Bachelor’s Degree: Required, preferably in Marketing, Advertising, Economics, Statistics, or a related quantitative field. Total Perks Package - The chance to be a part of a growing company and the next success story - Amazing opportunities for career development - Recognition programs - Employee referral bonus - Hybrid work schedule; 3 days in the office, 2 days working from home - Fun and collaborative work environment - Casual dress code - Insurance Coverage (medical, dental, vision, life, and disability) - 401(k) retirement plan, with employer 4% match - Work/life benefits, including mental health and wellbeing support - Flexible Time Off Policy - Paid holidays, including agency soft closing Christmas Eve-New Year's Day - Paid leave options, including sick leave, medical leave for self and family, and parental leave

Title: Data Scientist Location: Kansas City, MO, Columbia, MO, and St. Louis, MO Job Description: Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship. We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions. Essential Duties and Responsibilities (Other duties may be assigned) - Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns - Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments - Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference - Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization - Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations - Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time - Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives - Stay current with emerging techniques in data science, machine learning, and marketing analytics Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - 3+ years of professional experience applying statistical methods and machine learning to business problems - Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis - Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods) - Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels - Experience with SQL and working with large-scale databases - Proven ability to design and analyze A/B tests and controlled experiments - Track record of translating complex analytical insights into clear, actionable business recommendations - Strong communication skills with the ability to present technical concepts to non-technical audiences Preferred Qualifications: - Experience working with advertising agencies, marketing teams, or in the ad tech industry - Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms) - Familiarity with marketing attribution models and multi-touch attribution methods - Experience with cloud computing platforms (AWS, GCP, or Azure) - Knowledge of causal inference methods and their application to marketing effectiveness - Experience with customer data platforms (CDPs) and marketing automation tools Education - Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field Total Perks Package - The chance to be a part of a growing company and the next success story - Amazing opportunities for career development - Recognition programs - Employee referral bonus - Hybrid work schedule; 3 days in the office, 2 days working from home - Fun and collaborative work environment - Casual dress code - Insurance Coverage (medical, dental, vision, life, and disability) - 401(k) retirement plan, with employer 4% match - Work/life benefits, including mental health and wellbeing support - Flexible Time Off Policy - Paid holidays, including agency soft closing Christmas Eve-New Year's Day - Paid leave options, including sick leave, medical leave for self and family, and parental leave

• oversee the end-to-end deployment lifecycle of a store portfolio within their region • communicate with external partners and stakeholders for alignment on tasks and timelines • collaborate with the Deployment Lead and Operations teams for efficient store completion • provide input and feedback on deployment procedures to improve workflows • perform quality checks on installations, both remotely and in-person • keep detailed records of any issues encountered and track them through resolution • ensure all deployment activities closely follow established procedures • participate in training sessions to deepen understanding of RADAR technology • continuously develop technical skills through hands-on experience and training • assist in training new Deployment Associates and other team members • adhere to all safety standards and protocols during installations • report any safety incidents or compliance issues to the Deployment Lead

• Own and drive the month-end close - ensuring speed, accuracy, and zero surprises • Build and deliver clear, insightful financial reporting for leadership, including variance analysis and key business drivers and actionable insights for the business to improve operations and financial performance • Raise the bar on accounting quality, controls, and GAAP compliance across the board • Apply technical accounting expertise (ASC 606, ASC 842, etc.) to real-world business decisions • Manage Procure-to-Pay workflows end-to-end, ensuring clean data, strong controls, and smooth operations • Prepare and work through our first external audit with us • Design, document, and continuously improve accounting policies, processes, and internal controls • Own inventory accounting across raw materials, WIP, finished goods, and in-transit inventory for our integrated hardware / software platform • Partner with external tax advisors and support income tax preparation • Support international expansion and the complexities that come with it • Work closely with the NetSuite team to stabilize, optimize, and expand our ERP capabilities • Lead, mentor, and elevate the accounting team - setting a high bar for quality and ownership • Collaborate cross-functionally with teams across Procurement, Growth, Operations, HR, Legal, Tax, IT, and Strategic Finance

• Serve as a primary point of contact for store-related technical support, assisting both external customers and internal stakeholders. • Partner with IT Engineering and cross-functional teams to troubleshoot, diagnose, and resolve issues impacting customer store deployments. • Develop and maintain SQL queries and automation scripts to streamline processes, improve team productivity, and SLA adherence • Manage and track support requests using service desk management tools, ensuring timely resolution and accurate documentation. • Utilize Field Service Management tools to coordinate field dispatches and maintenance activities, minimizing customer impact. • Collaborate with vendors and hardware partners to coordinate and streamline maintenance dispatches and technical store visits. • Identify trends and recurring issues through data analysis to develop proactive solutions and process improvements. • Write and maintain reports and procedural documentation. • Drive root cause analysis and ensure effective issue escalation and follow-up. • Maintain strong communication with customers, providing clear explanations of technical issues in accessible, non-technical terms. • Contribute to a culture of continuous improvement within Customer Operations and Store Support processes.

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 Site Reliability Engineers to work on our production infrastructure. Radar is a high-throughput, data intensive application handling 1 billion+ API calls per day. Over the past year, Radar has been used from over 100M devices worldwide. We run a multi-availability zone architecture and a major initiative is to enhance our deployment to be multi-region. The stack: 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. DNS is managed by CloudFlare. Most engineers are in the on-call rotation. Our main server languages are TypeScript and Rust. Our data pipelines are written in Airflow and Scala Spark. We sponsor OpenStreetMaps, MapLibre and OpenAddresses. How we use AI: - Engineers choose what AI tools they use, Claude 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 Copilot 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 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. How we use AI: - Engineers choose what AI tools they use, Claude and Cursor being the two most popular. - All code changes are reviewed by an Engineer knowledgeable in that area. Cursor and CoPilot also review all PRs. - There is a range of how much engineers use AI. Some use it heavily, others less so. - 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 infrastructure using Terraform all deployed to AWS via EKS - Work on critical company-level initiatives, for example, 99.99+% availability, multi-region deployment, and cloud cost-saving activities - Have your work be used by 100's of millions of devices - Be part of the on-call rotation (one week rotation every 1-2 months) - Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful You should: - Have experience managing a production AWS environment via Terraform - Have experience with high availability multi-region production infrastructure running on Kubernetes - Have experience managing large sharded Mongo clusters with heavy read-write workloads - Have experience at a high growth startup - 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 - Dai Shi, Senior Staff SRE - 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 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 a competitive equity plan with stock option grants. This is a meaningful ownership stake in the company that we provide to our employees as we build a category-defining company together. 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.

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 features across multiple mobile stacks. Over the past year, our SDKs have been installed on over 100M devices worldwide and our steady state traffic is 10,000 qps. Our SDKs are open-source (Android, iOS), abstracting away cross-platform differences between location services and allowing you to add geofencing, location tracking, and maps to your apps with just a few lines of code. You'll also work on our demo apps, including "Waypoint," an app used internally and by customers to test the Radar SDK. 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 our most important company values is "Walk a mile," as in walking a mile in the customer's shoes, but also as in literally walking a mile, getting up from your desk and developing a deep understanding of how location services behave in the real world. To us, a week is a long time, and we expect to ship big things every week. The stack: Our mobile stack includes Kotlin, Objective-C, and Swift. We also have thin cross-platform SDK wrappers for React Native, Capacitor, Flutter, and few others. 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 mobile infrastructure built with Kotlin, Objective-C, Swift, as well as wrapper SDKs written in React Native, Flutter and Capacitor. (Android SDK, iOS SDK) - Embody our "Walk a mile" value by walking around to QA and debug the Radar SDK - Push the limits of what is possible with location services on iOS and Android - Have your work run on 100's of millions of devices - Talk to Radar customers and prospects, hear their feedback, incorporate it into your work and make them successful You should: - Have experience building Mobile infrastructure - Don't think of yourself as an "iOS Engineer" or "Android Engineer" - 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 an SDK - Have experience with Indoor positioning - Have experience with background location or network infrastructure with respect to Doze mode, Wake Locks, Background Execution Limits, App Standby Buckets, and Foreground Services - Have experience with FusedLocationProvider, GeofencingClient and Beacon monitoring and ranging You’ll work with: - Nick Patrick, Co-Founder and CEO - Tim Julien, CTO - Liam Meier, Director of Engineering - 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.