SentiLink Tech Stack

Identity verification and fraud detection for financial institutions

Software Development San Francisco, California 51–200 employees Founded 2017 Privately Held

SentiLink operates a fraud and identity risk platform built on Go, Python, and PostgreSQL, with substantial data infrastructure (Redshift, Hadoop, Airflow, Dagster, Prefect) supporting machine learning workflows. The hiring velocity is accelerating across engineering, data, and sales — a 2:1 ratio of engineering+data to sales roles — while active projects span real-time ML model monitoring, AI governance frameworks, and vertical-specific playbooks (e-commerce), suggesting a shift from point-of-account detection toward continuous monitoring and scaled deployment.

Tech Stack 36 technologies

Core StackGo Python PostgreSQL Docker AWS AWS RDS Redshift Kubernetes Terraform Datadog Prometheus Linux React AWS Lambda Hadoop MLflow Grafana Apache Airflow Dagster Prefect GitHub Actions OpenSearch Aurora CI/CD Sumo Logic Amazon Cognito LinkedIn SQL Git Jamf+5 more

What SentiLink Is Building

◆Challenges

Fraud detection
Clunky ineffective expensive status quo
Replacing clunky identity verification
Improving reliability and efficiency of systems
Fraud risk mitigation
Scaling ml systems
Product performance optimization
Scaling sales operations
Fraud and identity problems
Fraud and identity challenges

▲Active Projects

Identity
Tools and dashboard
Detecting fraud in consumer financial applications
Ai deployment governance framework
Build playbooks for e-commerce vertical
Platform evolution
Real-time ml model monitoring domain
Sales playbook for investigate
Building and scaling intercept
Application fraud

Hiring Activity

Accelerating240 roles · 140 in 30d

Department

Engineering

Data

Sales

Product

Support

Marketing

Executive

Seniority

Senior

118

Mid

Manager

Lead

Junior

Staff

Director

Notable leadership hires: Director of Engineering, AI Process Lead, Head of Growth, Chief of Staff, Growth Lead

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About SentiLink

SentiLink provides identity verification and synthetic fraud detection solutions to financial institutions, from large U.S. banks to fintech companies, focusing on fraud prevention at account opening and beyond. The platform detects synthetic fraud, identity theft, and first-party fraud using machine learning models informed by risk analysis. Founded in 2017 and headquartered in San Francisco, the company operates with a 51–200 person team across the United States, India, Peru, Canada, and Australia. The tech stack reflects a mature data and ML organization: Go and Python for application logic, PostgreSQL and Redshift for storage, Kubernetes for orchestration, and Airflow/Dagster/Prefect for pipeline management.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2017

Hiring MarketsIndia, United States, Peru, Canada, Australia

Frequently Asked Questions

What technology stack does SentiLink use?

SentiLink's core stack includes Go, Python, PostgreSQL, Redshift, Kubernetes, Docker, AWS Lambda, and machine learning orchestration tools (Airflow, Dagster, Prefect). Monitoring runs through Datadog, Prometheus, and Sumo Logic. Development infrastructure uses GitHub Actions and Terraform.

What is SentiLink working on?

Active projects include identity verification platform evolution, real-time ML model monitoring, AI deployment governance frameworks, fraud detection for consumer financial applications, and vertical-specific playbooks for e-commerce. The team is also scaling sales operations and building investigation and interception capabilities.