Senior Associate of Customer Solutions, Radar

• You have 4+ years experience in technical operations, implementation strategy, or program coordination
• You have demonstrated success working cross-functionally across engineering and customer teams
• You have a strong analytical, documentation, and stakeholder communication skills
• You have a background in retail, including one or more of the following: Strategy Planning, Inventory Management, Solutions Associate, or IT Systems/Information Management

Desirable

• 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 gather feedback, surface performance issues, 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, deployment methodology, and pilot criteria
• Analyze current pilot-to-fleet conversion data to identify key success factors
• Conduct stakeholder interviews to document known pain points
• Shadow post-pilot engagements to understand the flow of feedback and escalation
• In your first 60 days, you will:
• Lead a sample analysis of solution performance using real store data
• Design and validate QA scenarios for field testing during and after deployment
• Create baseline dashboards to visualize key metrics (e.g. , recovery time, detection rate)
• Collaborate with engineering and product to triage known performance issues
• Contribute to cross-functional workshops focused on customer success during fleet ramp
• In your first 90 days, you will:
• Launch optimization workstreams for at least one fleet deployment
• Drive iteration on solution components based on pilot data and customer feedback
• Formalize a playbook for post-pilot optimization across store formats and verticals
• Deliver a summary report of top drivers for successful conversion and risk factors
• Begin mentoring newer team members on performance troubleshooting and analysis