Facts about octopuses

Intelligent. Adaptive. Self-healing.

We built Octofact due to a simple observation: the alternative data industry was built on fragile infrastructure. When websites changed, data collection would go dark for weeks. We knew we could do better.

"Welcome to octopus country!"

When our founder brought home a souvenir octopus plush from a data conference in Denver, his kids were confused: why an octopus?

Years later, when we founded our company near the foothills of the Rocky Mountains, that plush inspired our name and the spirit behind it. Our tentacles reaching across the digital landscape—adaptable, intelligent, regenerative. Distinctly octopus-like.

Today, our self-healing pipelines monitor thousands of data sources, fixing issues before other providers even notice them.

The team behind the signals

Our team brings together diverse expertise from data engineering, machine learning, finance, and product. We're united by a shared belief that the best solutions come from challenging conventional approaches.

We value creative thinking, thoughtful communication, and the courage to question assumptions. Together we built the first system that detects, analyzes, and repairs scraper failures automatically—within hours rather than weeks.

Want to join our mission?

We're looking for people who are excited about building the future of data infrastructure. If you're passionate about solving hard problems at scale and want to work with a team that values innovation, transparency, and long-term thinking, we'd love to hear from you.

Senior Data Engineer

Design and build high-volume data pipelines for our self-healing infrastructure. You'll work with Python, distributed systems, and event-driven architectures to create resilient data collection and processing systems at scale.

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Office Manager

Oversee daily office operations and workplace experiences for our hybrid team. You'll manage vendor relationships, coordinate events, handle onboarding logistics, and ensure our physical and virtual spaces support collaboration across time zones.

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LLM Engineer

Design, train, and fine-tune large language models for our self-healing data infrastructure. Experience with PyTorch, Transformers, distributed computing, and efficient fine-tuning methods (LoRA/QLoRA) required.

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Ready to get in touch?

We'd love to hear from you.