Senior Technical Specialist, Retail Systems

At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics 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!

• You have experience in  field service coordination.
• You have experience with automation frameworks or scripting languages (e.g., Bash, Python, PowerShell).
• You have a background in incident response or root cause analysis frameworks.
• You have certifications such as CompTIA Network+, Linux+, ITIL Foundation, or equivalent.
• You have intermediate knowledge of JavaScript 
• You have experience using API’s (REST & GraphQL)

At RADAR, your pay is one part of your total compensation package. This role is a non-exempt position at $40-$55 an hour with eligibility for overtime. 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.