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Dstillery Tech Stack

AI-powered audience targeting platform for programmatic advertising

Advertising Services New York 51–200 employees Founded 2008 Privately Held

Dstillery builds audience targeting for programmatic ad campaigns using multimodal AI. The stack is heavily data-oriented—Java, Python, Kafka, Spark, Hive, Airflow on GCP and AWS—reflecting the engineering required to process ad-targeting signals at scale. Current project momentum centers on GCP product development and modernizing legacy systems, while pain points cluster around data-scaling challenges and sales-enablement friction, suggesting both a maturing platform and a go-to-market organization still finding its rhythm.

Tech Stack 13 technologies

What Dstillery Is Building

Challenges

  • Scaling systems to handle lots of data
  • Modernizing legacy systems
  • Simplifying existing systems
  • Scaling sales enablement framework
  • Improving sales performance
  • Streamlining go-to-market execution

Active Projects

  • Development of distributed microservices
  • Modernization of existing systems
  • New product features in gcp
  • Design and operate a sales enablement framework
  • Develop launch playbooks for new product rollouts
  • Build and manage a centralized resource hub
  • Modernization efforts
  • Develop new products and features in gcp

Hiring Activity

Accelerating5 roles · 2 in 30d

Department

Data
2
Engineering
2
Sales
1

Seniority

Mid
3
Senior
2
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About Dstillery

Dstillery provides AI-driven audience-targeting solutions for brands and agencies running programmatic advertising campaigns. The company uses multimodal AI to extract targeting insights from diverse data sources and apply them to ad placement optimization. Founded in 2008, Dstillery holds 24+ patents on its AI targeting technology. The platform operates across GCP and AWS infrastructure, processing large volumes of audience and campaign data through a microservices-based architecture. The 51–200-person team is headquartered in New York.

HeadquartersNew York
Company Size51–200 employees
Founded2008
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Dstillery use?

Java, Spring Boot, Python, Apache Kafka, Apache Spark, Hive, Apache Airflow, MySQL, Docker, Terraform, plus GCP and AWS for cloud infrastructure.

What is Dstillery working on?

Product development on GCP, modernization of legacy systems, distributed microservices architecture, and go-to-market frameworks including sales enablement and launch playbooks for new features.

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