About Filigran
Founded in 2022, Filigran is a global cybersecurity company on a mission to empower defense teams to be proactive through open-source solutions that uncover threats and drive action. Filigran stands out in the cybersecurity ecosystem through its open-source, AI-powered and threat-informed approach to Continuous Threat Exposure Management (CTEM). Our eXtended Threat Management (XTM) platform brings together threat intelligence, exposure validation and cyber risk reduction, enabling organizations to better understand their threat landscape and take action.
The Role
We're looking for a Senior Software Engineer who is genuinely, deeply convinced that AI is transforming the way software gets built, and who wants to make that transformation happen at Filigran. You will join the XTM Foundation team as Filigran's internal reference on AI-Native engineering. You'll propose our approach, build our practices, run experiments, and share the results so that teams can change how they work with confidence. You'll be hands-on, opinionated, and always one step ahead.
Responsibilities
- Define and own Filigran's AI-Native engineering strategy: which tools, which workflows, which practices, and how they evolve as the landscape moves fast.
- Run structured experiments to evaluate new AI coding tools and agents (Cursor, GitHub Copilot, Cline, MCP servers, code generation agents…), measure their real impact on velocity and quality, and translate findings into actionable recommendations.
- Build the guardrails and engineering standards that ensure AI-generated code is maintainable, tested, and consistent with our quality bar — not just fast to produce.
- Work directly with product engineering teams (~80 engineers) to embed AI practices into their day-to-day workflows: pair programming with AI, AI-assisted code review, test generation, documentation, and beyond.
- Share what you learn. Run internal talks, workshops, and demos. Be the person engineers come to when they want to understand what's possible, and what isn't. Show real results, including the failures.
- Stay permanently ahead of the curve — the AI tooling landscape moves weekly. You'll be the one tracking it, filtering the noise, and surfacing what actually matters for a team like ours.
- Work in the XTM Foundation team to turn AI practices into shared building blocks for every product team: agent workflows in our CI pipelines (dependency updates, flaky test triage, review assistance), shared MCP servers and prompt libraries, versioned AI configuration in the repositories, and written rules on tools and data handling that apply to everyone.
- Contribute to Filigran's external voice on AI-Native engineering — blog posts, open-source contributions, conference talks — as the opportunity arises.
Why Join Filigran?
- Competitive compensation + equity — everyone shares in our success.
- Remote-first flexibility — work from wherever you’re based, with flexibility built into how we operate.
- 25 days PTO baseline — real time to disconnect, recharge and enjoy life outside work.
- Volunteer days — paid time to contribute to causes that matter to you.
- Set up for success — choose the equipment that works for you, with additional support for your remote work and development needs as our programs evolve.
- Two annual in-person get-togethers — one global company get-together and one team get-together, creating dedicated time to connect, collaborate and strengthen our culture beyond the screen.
Profile We're Looking For
- 7+ years of software engineering experience — you are a strong engineer first. You understand what good code looks like, and that's what makes your judgment on AI credible.
- You are genuinely AI-first in how you work. Not as a trend, not as a productivity hack. You've already transformed how you build software, you can show what you built and what you measured, and you want to help others do the same.
- Proven experience deploying AI-assisted development practices within an engineering team: you've done this before, you know what resistance looks like, and you know what actually works and what doesn't.
- Deep, hands-on familiarity with the current AI coding tooling landscape: agentic coding tools, LLM-powered code review, prompt engineering for development workflows, MCP ecosystems, and what's coming next.
- Strong full-stack engineering background — you can evaluate AI output across the whole stack and contribute code yourself when it matters.
- You can make a clear case, with evidence. You're a natural communicator who can discuss a trade-off with a skeptical senior engineer just as well as you can help a junior developer get started.
- Comfortable working in a remote-first, async culture with teams across multiple time zones; clear communicator in English.
- Autonomy and ownership mindset: you drive this agenda without waiting for direction, and you bring others with you rather than working alone.
- Bonus: experience with open-source communities, cybersecurity domain knowledge, contributions to AI tooling projects, or public writing/speaking on AI-Native engineering.
