Personetics Tech Stack

AI platform helping banks personalize customer financial guidance at scale

Financial Services New York, NY 201–500 employees Founded 2011 Privately Held

Personetics runs a Python + Java stack on Kubernetes across AWS/GCP/Azure, with heavy ML foundations (TensorFlow, PyTorch, scikit-learn) and modern data infrastructure (Kafka, Spark Streaming, Snowflake, dbt, Databricks). Active adoption of LangGraph and RAG signals a pivot toward generative AI in banking workflows. The hiring mix—engineering and data roles leading, with director-level growth—reflects both infrastructure scaling and the shift from rules-based to AI-driven customer insights.

Tech Stack 41 technologies

Core StackJava Kubernetes Python TensorFlow PyTorch scikit-learn AWS Apache Airflow dbt Databricks Kafka Snowflake BigQuery Power BI Looker Salesforce RAG Jenkins HubSpot React React Native GCP Azure Spark Streaming SQL Microsoft Office LangGraph MCP Spring Boot Git+10 more

AdoptingKubernetes Helm AWS Python Salesforce Gong GCP Azure+1 more

What Personetics Is Building

◆Challenges

Retention and expansion
Churn prevention
Transitioning to saas delivery
Customer advocacy
Growth and revenue expansion
Scaling data pipelines
High pace changes in the financial domain
Overseeing global tax requirements
Anticipating customer needs
Managing revenue recognition

▲Active Projects

Adoption of personetics tools and systems
Executive customer council
Generative ai poc development
Scalable genai solution architecture
Data mapping and integration
Performance monitoring and optimization
Bi platform
Customer proof point pipeline
Client engage platform
Continuous improvement of monitoring tools

Hiring Activity

Accelerating40 roles · 20 in 30d

Department

Engineering

Data

Marketing

Support

Sales

Design

Finance

Seniority

Senior

Mid

Director

Lead

Manager

Junior

Notable leadership hires: Client Success Director, Head of Total Rewards

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About Personetics

Personetics builds an AI platform that helps banks deliver personalized financial guidance to customers across their lifecycles. The product ingests customer transaction and behavioral data, applies machine learning models to anticipate financial needs, and surfaces timely product recommendations and insights within banking experiences. The platform operates at global scale, serving major financial institutions across 35 markets with 150 million monthly active users. The company is transitioning from a rules-based platform toward a SaaS delivery model with stronger generative AI foundations, while managing the operational complexity of multi-jurisdiction tax and regulatory compliance.

HeadquartersNew York, NY

Company Size201–500 employees

Founded2011

Hiring MarketsIsrael, United Kingdom, United States, Philippines, Australia

Frequently Asked Questions

What tech stack does Personetics use?

Java, Python, Kubernetes, TensorFlow, PyTorch, Kafka, Snowflake, BigQuery, dbt, Databricks, AWS/GCP/Azure, React, and Spring Boot. Actively adopting LangGraph and RAG for generative AI features.