Company profile

Slickdeals Tech Stack

Community-driven deal-sharing platform across web, mobile app and browser extension

Software Development San Mateo, CA 51–200 employees Founded 1999 Privately Held

Slickdeals runs a community deal-voting platform on a data-heavy stack — Databricks, dbt, Airflow, Kafka and AtScale feeding Tableau, with SageMaker, PyTorch and TensorFlow for modeling. Job posts point to an Android modernization push (Kotlin, Jetpack Compose adoption, modularization) alongside a strategic shift from deal forum toward daily shopping destination, while senior-weighted hiring is slowing.

Tech Stack 33 technologies

Core StackPython Kotlin Java Databricks dbt Apache Airflow AWS Tableau Kafka AWS Lambda Intune Okta Zoom Slack Jira Confluence Greenhouse SageMaker PyTorch TensorFlow Elasticsearch Bill.com Expensify AtScale Windows 11 Jamf Zoom Rooms Jira Service Management HBase AWS SQS+2 more

AdoptingJetpack Compose

What Slickdeals Is BuildingChallenges and projects from their job posts

◆Challenges

Shifting from deal forum to daily shopping destination
Reducing technical debt in legacy codebase
Platform instability and scalability risks
Understanding customer behavior and business trends
Evolving content across all devices

▲Active Projects

Backend services and APIs for mobile apps
Jetpack Compose adoption and app modularization
LTV and retention modeling
A/B testing framework
Data source validation

Hiring Activity

Decelerating5 roles · 1 in 30d

Department

Engineering

Data

Finance

Sales

Seniority

Senior

Junior

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About Slickdeals

Slickdeals operates an online community where shoppers post, vet and vote on deals from retailers, available through a website, mobile app and browser extension. Founded in 1999 and headquartered in San Mateo, CA, the privately held company employs 51–200 people. Revenue themes include advertising and couponing alongside the consumer deal experience. Engineering runs on AWS with Python, Java and Kotlin, backed by Elasticsearch, HBase and Kafka for search and data movement.

HeadquartersSan Mateo, CA

Company Size51–200 employees

Founded1999

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Slickdeals use?

Slickdeals uses Python, Kotlin and Java on AWS, with Databricks, dbt, Airflow, Kafka, Elasticsearch and HBase for data, Tableau and AtScale for analytics, and SageMaker, PyTorch and TensorFlow for ML.

Is Slickdeals hiring engineers?

Engineering is the largest hiring area, mostly senior-level and US-based, though overall hiring velocity is decelerating. Data, finance and sales roles also appear.

What is Slickdeals working on?

Current work includes backend services and API design for mobile apps, Jetpack Compose adoption, codebase modularization, an A/B testing framework, and LTV and retention modeling.

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How this profile is built

Slickdeals's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.