RetailNext

Solutions Engineer

• Serve as the technical lead on Asset Protection opportunities, owning every technical aspect of the sales cycle across hardware, software, and services
• Run discovery to identify retailers’ loss-prevention objectives and pain points, and translate them into the right RetailNext Asset Protection solution
• Present and sell to loss-prevention, IT, business, and executive stakeholders
• Manage multiple accounts and opportunities in parallel
• Build and deliver demonstrations covering behavioral analytics, POS exception reporting, ORC and sweep detection, and searchable video
• Serve as the deep product expert for the RetailNext platform, including Aurora® sensor integration, cloud video, and Asset Protection capabilities
• Answer customer objections and competitive questions
• Scope technical infrastructure, connectivity, APIs, POS and file-transfer integrations, camera compatibility, and zone configuration
• Contribute to proposals and implementation plans, including scoping, quantification, and project planning
• Complete RFI/RFP/RFQ responses and security and compliance questionnaires, including SOC 2 and GDPR
• Partner with Support Engineering to troubleshoot connectivity, zone configuration, reporting, and integration issues
• Provide technical training to customers and internal teams
• Support existing Asset Protection customers and identify expansion opportunities
• Bring customer feedback to product and sales teams

Explore Solution Architect – Asset Protection at RetailNext. Review requirements and application details.

Solution Architect – Asset Protection

Engineer

• Lead the development of new computer vision algorithms for shopper detection, tracking, and analytics
• Improve the performance and efficiency of existing algorithms already running in production
• Apply multi-view geometry techniques to image registration, mosaicking, and 3D reconstruction
• Prototype new approaches in Python or MATLAB before hardening them for production
• Build software integrating Aurora's stereo cameras, WiFi, and Bluetooth
• Design for variable lighting, store layouts, and hardware constraints
• Work across video, WiFi, and Bluetooth analytics pipelines
• Design, implement, validate, and release applications and capabilities in C++ and Python
• Take algorithms from prototype to production-ready code running reliably at scale
• Validate techniques against real deployments across large, global installations
• Partner with the R&D team to review, test, and ship new capabilities

Explore ML Vision Engineer at RetailNext. Review requirements and application details.

Open roles

Solution Architect – Asset Protection

ML Vision Engineer