Community-driven deal marketplace with data infrastructure at scale
Slickdeals operates a community shopping platform where millions of users collectively curate and validate deals across retailers. The tech stack—Databricks, dbt, Kafka, Airflow, AWS—reflects a data-intensive operation focused on pipeline reliability and semantic modeling rather than traditional e-commerce infrastructure. Current hiring is concentrated in data roles (mostly mid-to-staff level), and active projects center on ETL/ELT and data observability, suggesting the company is investing in scaling pipeline resilience to support growing transaction volume and community-contributed content.
Slickdeals is a community-powered shopping platform founded in 1999, headquartered in San Mateo, CA. The product combines a website, mobile app, and browser extension where millions of deal-seekers share, vet, and vote on offers from top retailers. The community model is central to the value proposition: users contribute insights and reviews, and deals are elevated by collective voting and validation. The company operates with 51–200 employees in the United States.
Slickdeals uses Databricks, dbt, Apache Airflow, Kafka, and AWS for data pipelines and analytics. Additional tools include Tableau for BI, AtScale for semantic modeling, AWS Lambda for compute, and Okta/Intune for identity and device management.
Yes. Slickdeals has 2 open data roles and is accelerating hiring velocity. Current openings span mid-level and staff-level positions across the United States.
Slickdeals is headquartered in San Mateo, California. The company is privately held and currently hiring only in the United States.
Other companies in the same industry, closest in size