Bigabid Tech Stack

Programmatic DSP for mobile app user acquisition and retargeting with ML-driven targeting

Advertising Services Tel-Aviv 51–200 employees Founded 2016 Privately Held

Bigabid operates a demand-side platform (DSP) for mobile app marketers, built on Python, Spark, Flink, and PyTorch—a data-engineering-first stack optimized for real-time bidding and ML inference at scale. Active projects span feature stores, vector databases, and GPU cluster scaling; pain points cluster heavily around ML infrastructure (observability, GPU scaling, latency constraints), cloud cost, and revenue expansion—a pattern that suggests the company is maturing from core DSP capabilities into a multi-tenant, infrastructure-heavy platform serving high-budget app clients.

Tech Stack 30 technologies

Core StackPython Apache Spark Apache Flink AWS Linux Node.js Go Terraform Pulumi Kubernetes Datadog Grafana Prometheus Tableau Power BI PySpark React Redis NumPy Pandas scikit-learn PyTorch TensorFlow Apache Airflow SQL Ray Dask AWS CDK Graphite Graviton

What Bigabid Is Building

◆Challenges

Scaling ml infrastructure
Model monitoring observability
Gpu cluster scaling
Improving cloud infrastructure resiliency
Reducing cloud cost
Scaling monthly client budgets
Identifying upsell opportunities
Scaling high performance systems
High-impact ml problems
Strict latency constraints

▲Active Projects

Feature store
Vector databases
Gpu cluster scaling
Critical infrastructure initiatives
Deployment pipeline enhancement
Cloud infrastructure evolution
Grow accounts into multi-million dollar partnerships
Upsell and cross-sell opportunities across ml technologies
Client reporting and analysis
Enterprise-grade real-time data store

Hiring Activity

Steady10 roles · 3 in 30d

Department

Data

Engineering

Sales

Support

Seniority

Senior

Mid

Lead

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About Bigabid

Bigabid is a DSP (demand-side platform) that helps mobile app marketers acquire and retarget users through programmatic advertising. The platform uses machine learning to analyze real-time behavioral and contextual data, targeting high-lifetime-value users across 1000+ app categories. Founded in 2016 and headquartered in Tel Aviv, the company employs 51–200 people with engineering and data science as primary functions. They work with app publishers and advertisers across iOS and Android ecosystems, positioning themselves on model transparency and post-IDFA audience precision.

HeadquartersTel-Aviv

Company Size51–200 employees

Founded2016

Hiring MarketsIsrael, United States, United Kingdom

Frequently Asked Questions

What tech stack does Bigabid use?

Bigabid's stack centers on Python, SQL, Apache Spark, Apache Flink, Ray, and Dask for data processing; PyTorch and TensorFlow for ML; AWS for cloud infrastructure; Kubernetes for orchestration; and Datadog, Grafana, and Prometheus for observability.

What is Bigabid working on?

Recent projects include feature store development, vector databases, GPU cluster scaling, deployment pipeline enhancement, cloud infrastructure evolution, enterprise-grade real-time data stores, and revenue expansion through multi-million-dollar account growth and ML technology upsell.