Rewards platform connecting diners to restaurant seats through dynamic pricing
Seated operates a two-sided marketplace linking consumers to restaurants via a rewards app, handling payments and demand orchestration across 1,000+ partners in 4 US markets. The tech stack (Java, Spring Boot, AWS, Kinesis, Datadog) reflects a payment-and-events infrastructure; active adoption of Temporal and AWS Step Functions signals a shift toward async workflow orchestration—likely to automate restaurant partner onboarding and order-to-rewards settlement at scale. Sales-heavy hiring (10 open roles) paired with infrastructure projects around fault-tolerant backends and payment datasets confirms the core bottleneck is partner acquisition and operational scaling, not product-market fit.
Seated is a consumer rewards app that incentivizes dining out, takeout, and delivery by offering members points redeemable at top retail brands (Uber, Sephora, Target, Amazon, CB2) in exchange for restaurant visits. The company operates a dynamic pricing engine that helps restaurant partners fill seats during slow periods while driving both dine-in and online order volume. With over 1,000 restaurant partners across 4 US markets and a 51–200-person team based in New York, Seated is focused on expanding its partner network nationwide and improving platform adoption among both diners and merchants. The business model is transaction-driven: member dining activity generates rewards; restaurant partners pay for incremental demand.
Java, Spring Boot, AWS (ECS, RDS, Kinesis), Docker, Datadog, and Salesforce. The company is adopting Temporal and AWS Step Functions for workflow orchestration.
New York, United States. The company hires across the US and Canada.
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