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Backend Engineer

About Fable

AI-driven threats and human error are today’s biggest enterprise security risks. Cybercriminals don’t hack systems—they exploit people. Human errors drive 90% of security breaches, making human behavior the primary and growing attack surface. (ex 1, ex 2, ex 3)

Fable is a security platform that mitigates human risks to the business. We built the first AI-native Human Behavior Platform to eliminate human risk wherever employees work. By leveraging GenAI and behavioral systems, we automatically detect at-risk employees, deliver personalized interventions at critical moments, and remove tangible risks to the business - at scale.

This is a multi-billion-dollar market, and every company—from SMB to Fortune 500 enterprises—is racing to combat this problem. Backed by Greylock Partners and founded by early Abnormal Security team members, Fable has assembled a world-class team to solve this problem. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, and USC. We are experiencing explosive growth, making this an exciting time to join and shape the future of security.

Your Role

You will own and develop the backend systems to serve our API, customer integration layer, data services, video generation infrastructure, and customer portal. You want to design and build foundational systems and end-to-end products on top of them. You take pride in building reliable, maintainable, and scalable services. You can transform product requirements into designs and systems that anticipate our needs as we evolve. You take pride in impact, and make judgment calls on how to build with consistent progress.

Fable is founded by the early team from Abnormal Security ($5B valuation) and backed by Greylock, the investors behind Palo Alto Networks, Okta, Figma, and others. Our team has built many of the iconic products at Meta, Twitter, Flexport, and more. Our team has alumni from Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, and USC. 

Your skillset

  • 3+ years building backends for web applications or APIs in Python

  • Designed, implemented, and owned a production-facing system

  • Experience with one of:

    • Experience building and integrating with external APIs a plus

    • Relational DB backends (Django or similar)

    • Experience building ETL and data pipelines a plus

    • Experience with building distributed systems and backends

    • Experience with AWS, terraform, EKS, and cloud systems

  • Strong desire to be part of an early team and create foundational systems

How We Work

  • We work from our San Francisco office three days a week, fostering collaboration and deep focus.

  • We emphasize mutual trust, high execution, and delivering differentiated product experiences.

  • We prioritize impact—every team member plays a key role in shaping our success.

The estimated salary range for this position is estimated to be $135,000 - $220,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors.

Fable Security is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

Average salary estimate

$177500 / YEARLY (est.)
min
max
$135000K
$220000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Fable Security is the premier cyber security firm based in Texas, providing airtight protection for your IT assets whether they are in Texas or around the world. From end-point security to cloud computing, perimeter defense and situational awarene...

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Full-time, hybrid
DATE POSTED
November 3, 2025
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