Fable

Software Engineer - Platform/Infrastructure

San Francisco, California, United StatesFull timePosted 12 days ago
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ABOUT FABLE SECURITY

AI-driven threats and human error are today’s biggest enterprise security risks. Cybercriminals don’t hack systems—they exploit people. Human errors drive 70% of security breaches, making human behavior the primary and growing attack surface. At Fable, we believe that the right tools can convert people from targets to another layer of defense.

Fable is the human risk platform that directly shapes employee behavior. Designed for simplicity and enterprise scale, our agentic platform synthesizes complex employee data, pinpoints risky behaviors, and deploys highly relevant interventions to people automatically, in real time, right where they work.

Backed by Redpoint Ventures and Greylock Partners and founded by early Abnormal Security team members, Fable is solving cybersecurity’s biggest challenge in a multi-billion-dollar market. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, UCLA, and USC. We are experiencing explosive growth, making this a career-defining opportunity to join and shape the future of security.

WHY JOIN US

- Build and scale the foundational data infrastructure powering a category-defining product

- Work closely with engineering, data science, and product teams to operationalize data at scale

- Join a small, high-caliber team where you’ll have outsized ownership and impact

At an early-stage company, every engineer directly shapes how the product works and evolves. You’ll help define not just the system—but the way the company thinks about data.

YOUR ROLE

As a Platform / Infrastructure Engineer, you will build and scale the core systems that power Fable’s product and data workflows.

You’ll work across backend systems from real-time services to data pipeline. You’ll ensure reliability, scalability, and performance across the stack. You’ll collaborate closely with data and ML teams and contribute to the systems that in...