Retail Media Platform Teams for Retailers & Brands
Your retail brand drives the strategy — let us build the sponsored listings and ad inventory engine.
Valletta Software builds dedicated teams for retail media platform development. We cover sponsored product listings, ad inventory management, and retailer analytics — AI-native, EU-incorporated in Malta, NDA signed before kickoff.
MarTech & AdTech • EU-Based • AI-Native
Who Needs a Retail Media Software Development Team
Retailers, marketplaces, and AdTech founders building retail media networks need engineers who understand both commerce and programmatic advertising.
At Valletta Software, we focus on two things:
AI-native development that ships retail media software 30%+ faster — from sponsored product auctions to retailer analytics dashboards.
BA domain expertise in retail media platform architecture: ad serving, attribution models, and shopper data activation.
Retail Media Software Roles We Staff
Retail Media Engineers On Demand
We embed retail media specialists into your product team — covering ad serving, sponsored listings, bidding, and analytics.
Build bid optimization models
Create brand self-serve UIs
Scale ad serving infrastructure
Validate ad delivery accuracy
Retail Media Platform Delivery 30% Faster
AI-Native Retail Media Development
Our engineers use Copilot, Claude, Cursor, and AI-assisted testing daily to accelerate retail media software development — from automated ad quality checks to AI-driven bid optimization scaffolding.
Faster ad platform launch. Higher ROAS for brands. Scalable inventory.
Domain expertise. AI speed. EU contract.
EU-incorporated in Malta. Contracts with your legal entity, NDA signed before kickoff, full GDPR compliance. Trusted by retail media and AdTech teams across Europe and the US.
Ready to Launch Your Retail Media Platform?
Share your retail media software requirements and we will match you with the right AdTech engineers within 48 hours.
Rates from EUR 45/h • Free consultation • No commitment required • Response within 24 hours