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Fal

NLP-based sentiment & anomaly detection

Senior Software Engineer - Product

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of full-stack engineering experience delivering reliable, scalable products in production.
  • Extensive experience writing maintainable, production-quality code in TypeScript, Python, and JavaScript.
  • Deep understanding of relational databases, including PostgreSQL, schema design, and performance optimization.
  • Ability to own feature development from concept to launch, with an emphasis on reusable design systems and user interface components.

Responsibilities

  • Use cloud infrastructure for development and deployment.
  • Make model playgrounds more interactive and discoverable.
  • Collaborate with a cross-functional team to rapidly iterate and deploy new features.

About the Company

Fal

NLP-based sentiment & anomaly detection

Fal.ai enables data-driven businesses to improve analytics using natural language processing and machine learning, focusing on sentiment analysis and anomaly detection within dbt data models. It analyzes text such as customer reviews, support tickets, and surveys to classify sentiment (positive, negative, neutral) and spots unusual patterns in data transformations. The service integrates with existing data infrastructure that uses dbt models and is sold through tiered subscriptions that include basic sentiment analysis, advanced anomaly detection, and premium support. Its goal is to help organizations make informed decisions and improve customer satisfaction by delivering continuous analytics enablement and actionable insights.

Company size
201-500
Company stage
Late Stage VC
Total funding
$2.2B
Headquarters
Seattle, WA
Founded
2021

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