RADAR

Compensation

Full Description

ABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategic and works with some of the world's top billion-dollar global retailers. We’re building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We’re a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! ABOUT THE JOB This role leads the optimization and post-go-live integration of RADAR’s platform across pilot and fleet deployments. You will act as the main liaison between RADAR’s engineering organization and retail customers, ensuring ongoing success and scale of the solution. You will collaborate cross-functionally to surface performance issues, quantify performance, and implement improvements to maximize value for the customer. In your first 30 days, you will: Complete onboarding with Customer Solutions, Engineering, and Customer Experience teams. Review RADAR’s solution architecture and integrations with fleet and pilot customers. Analyze current QA and monitoring to identify key improvement opportunities. Conduct stakeholder interviews to document known pain points. Shadow current engagements to understand the flow of feedback, escalation and remediation In your first 60 days, you will: Design and validate QA scenarios for field testing during and after deployment of new features and customers. Collaborate with engineering and Customer Experience to support field testing. Collaborate with engineering and product to triage known and new performance issues. Contribute to cross-functional workshops focused on customer success. In your first 90 days, you will: Drive iteration on solution components based on system performance and customer feedback. Create baseline dashboards to visualize key health and performance metrics. Formalize a playbook for system issue detection and remediation. Begin mentoring newer team members on performance troubleshooting and analysis. ABOUT YOU Required: You are proficient in performing SQL queries, working with big data and creating simple Python scripts to perform data analysis. 2–5 years of experience as a Data Analyst, preferably in retail, e-commerce, or consumer analytics. You have demonstrated success working cross-functionally across engineering and customer teams. You have strong analytical, documentation, and stakeholder communication skills. Preferred: You have a background in retail, including one or more of the following: Inventory Management, retail technology deployment, Solutions Associate, or IT Systems/Information Management. You have a Lean or Six Sigma training. You have a Bachelor's degree in Business, Engineering, Computer/Data science or related field. At RADAR, your pay is one part of your total compensation package. This role is an exempt position with a salary range of $79,000-$144,000. Individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training. You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan, flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process. CULTURE SNAPSHOT Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters. Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together. High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company. Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters. Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work. Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.