🌀 The Company

Filigran, founded in October 2022, stands out in the cybertech ecosystem for its commitment to revolutionizing cyber threat management with a proactive approach. Its mission is to develop innovative open-source solutions designed to anticipate cyber threats, identify security gaps, and strengthen organizational security posture.

Filigran solutions are now trusted by over 6,000 public and private organizations worldwide.

🎯 The Role

We're looking for a Senior Data AI Engineer to join our Data Engineering team and help us design, build, and scale AI features at Filigran. Your mission is to turn real-world security problems into intelligent product capabilities — from ideation to production — in a fully remote, high-trust environment.

You’ll work closely with our VP of Data Engineering and cross-functional teams (product, engineering, research) to bridge cutting-edge research with real user impact.

💼 Your Responsibilities

• Design and prototype ML models and AI features (e.g. Named Entity Recognition for CTI extraction)

• Translate concepts into PoCs and MVPs to validate value, by measuring performance

• Maintain and improve our growing AI/ML pipelines

• Contribute to the growth of our enterprise data platform

• Collaborate closely with engineers to ensure smooth downstream integration into our products

• Ensure code quality, reliability and test automation via reviews and collaboration

• Conduct technical watch and apply state-of-the-art practices

🤝 Who You’ll Work With

• Report directly to the VP of Data Engineering

• Collaborate with Software Engineers, Product Managers, and community contributors

• Work closely with the Engineering team on deployment, monitoring, and continuous improvement

🧬 Profile We’re Looking For

• You’ve already trained and deployed machine learning models in production environments

• Proficient in Python, and familiar with its full-stack usage (packaging, logging, FastAPI)

• Strong autonomy: you can take a scoped project and drive it independently in an async first environment

• Solid understanding of software engineering best practices: versioning, code reviews, pair programming

• Product-oriented mindset: you care about UX, data value, and user outcomes

Bonus if you have:

• Experience working remotely

• Appetite for technical leadership or mentoring

• Familiarity with Docker / Kubernetes

• Experience with Agentic use cases

• Experience in the cybersecurity industry

🌱 Why Join Filigran? More than just a job.

We’re a fast-growing, global, and fully remote company on a mission to empower defense teams to be proactive — through open-source solutions that uncover threats and drive action.

• ⭐ What we believe

  We believe we do work that matters — uniting defenders into a global community to make security more open, resilient & collaborative.

• 💻 How we work

  That belief fuels how we work — with focus, clarity and high standards. Always with care and respect, never with ego.

• 🧭 What guides us

  That focus and care is grounded in our CORE values: Cohesion, Openness, Responsibility, and Equity — the compass that guides our decisions, collaborations, and growth, even when no one’s watching.

💰 Compensation & Benefits

• Competitive pay + equity — everyone shares in our success

• Remote-first, flexible, and balanced — work that fits your life

• Your setup, your choice — pick the gear that works for you

🌍 Equal Employment Opportunity

We enable cybersecurity through inclusion — from code to culture.

At Filigran, we are proud to be an equal opportunity employer. We believe diversity of our people make our products and our team stronger. We welcome talent of every background, identity, and lived experience — regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or veteran status.

What matters here is what you bring — not what you look like, where you’re from, or how you identify.

🚀 Ready to Join Us?

Apply now and help us build the future of the cybersecurity ecosystem — together.