Direct-order platform enabling independent takeaway restaurants to bypass aggregators
OrderYOYO provides branded websites, mobile apps, and marketing tools for independent takeaway restaurants to accept orders directly from customers, circumventing third-party aggregator commissions. The hiring profile reveals an acute sales-motion problem: 117 active roles with 86 posted in 30 days, dominated by sales (100 roles) against engineering (9), signaling rapid expansion into new geographies (8 countries hiring) while product capacity lags. Stack is broadly polyglot (PHP/Laravel, .NET, React, Vue across frontend and backend) with emerging Azure infrastructure (Data Lake, SQL, Data Factory, Power BI) and adoption of POS integration and dbt—both tactical moves to deepen restaurant operations visibility and reduce churn through data.
OrderYOYO is a B2B SaaS platform serving independent takeaway restaurants across Northern Europe and beyond. The company competes directly against third-party aggregator platforms (Uber Eats, Deliveroo, Just Eat) by offering restaurants a way to own their customer relationship and order channel, retain margin, and build direct brand loyalty. The product surfaces branded ordering sites, mobile apps, customer data, and marketing tools. Pain points center on aggregator commission structures and restaurant acquisition at scale; the majority of active projects reflect sales-led expansion (partner acquisition, region-specific strategies, upselling) and training infrastructure to support new market entry.
Netherlands, Germany, United Kingdom, Peru, Democratic Republic of the Congo, Denmark, Sweden, and Austria. Sales roles dominate the hiring pipeline across these regions.
Backend: PHP, Laravel, .NET, C#. Frontend: React, Vue. Data: Azure Data Lake, Azure SQL, Azure Data Factory, Power BI, dbt. Payment: PayPal, Stripe. Infrastructure: Azure, Git, GitHub Actions, Terraform, Bicep.
Yes—POS integration is listed as an active adoption. This aligns with the product roadmap to deepen visibility into restaurant operations and reduce reliance on third-party data layers.
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