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Fable

Human risk management against AI threats

Backend Engineer

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

About the Job

Requirements

  • At least three years of experience developing backend software.
  • Experience designing, implementing, and owning production-facing services.
  • Experience in at least one of the following areas: building and integrating with external APIs; relational database backends such as Django or similar; building ETL and data pipelines; building distributed systems and backends; or AWS, Terraform, EKS, and cloud systems.

Responsibilities

  • Work on the team responsible for the data platform, including real-time API integrations, Kafka-based streaming systems, Spark and Airflow data pipelines, and data services that power the application layer.
  • Build reliable, maintainable, and scalable infrastructure that turns complex data flows into high-quality product services.
  • Translate product and customer requirements into durable platform designs, make technical tradeoffs, and build systems that anticipate evolving needs.

Desired Qualifications

  • Experience building and integrating with external APIs.
  • Experience building ETL and data pipelines.

About the Company

Fable

Human risk management against AI threats

Fable Security provides a human risk management platform that defends against AI-powered attacks by measuring each employee’s risk from identity, email, devices, and behavior, then giving real-time coaching through video, chat, or email. It creates a live risk view for every employee and delivers immediate guidance when risk is detected, plus same-day threat briefings and tools to govern sanctioned and shadow AI use, with dashboards and KPIs for security teams. Unlike tools that focus only on tech controls, Fable emphasizes changing employee behavior and governing AI use to achieve measurable outcomes. Its goal is to reduce human susceptibility to AI-driven attacks and show clear risk reductions to leadership and auditors through concrete KPIs.

Company size
51-200
Company stage
Early VC
Total funding
$31M
Headquarters
San Francisco, CA
Founded
2012

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