Senior Software Engineer - AI-Native Engineering (XTM Foundation)

Filigran; United Kingdom; On-site; GBP 90,000 - 130,000; Full time

Job summary

Filigran is seeking a Senior Software Engineer to drive AI‑Native engineering initiatives. You will lead experiments, set engineering standards, and partner with product teams to embed AI practices across workflows.

You will guide the transformation for a fast-growing security platform, influencing velocity, quality, and responsible AI usage across ~80 engineers and several product lines.

Qualifications

• 7+ years of software engineering experience.
• AI-first mindset with proven impact on software delivery.
• Experience deploying AI-assisted development practices.
• Strong collaboration with large engineering teams.

Responsibilities

• Define and own Filigran's AI‑Native engineering strategy.
• Run experiments to evaluate AI coding tools and measure impact.
• Build guardrails and standards for maintainable AI-generated code.
• Work with product teams to embed AI practices in daily workflows.
• Share learnings via talks, demos and open source contributions.
• Stay ahead of the AI tooling landscape and surface relevant trends.
• Turn AI practices into shared building blocks for all product teams.
• Contribute to Filigran's external voice through blogs and talks.

Skills

AI-first mindset

Software engineering

Experimentation

Leadership

Tools

Cursor

GitHub Copilot

Cline

MCP servers

Code generation agents

Job description

The Company

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.

At the heart of Filigran is our open-source approach. Our vision is to unite defenders into a global community to make security more open, resilient and collaborative.

As Filigran continues to scale globally, we are building the organization, infrastructure and capabilities needed for our next stage of growth. How we scale matters just as much as how fast we scale: our CORE values: Cohesion, Openness, Responsibility and Equity shape how we work together, make decisions and build for the future.

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.

We are looking for an engineer first. This isn't a "we bought Copilot, please roll it out" role, and it isn't only a tooling or development role either: part of the job is building, part of it is trying things on real work, measuring them and telling teams honestly what works and what doesn't. This is a practitioner role for someone who has already lived this shift, who experiments constantly, who knows what works and what doesn't, and who can bring 60 engineers along on that journey.

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.

Your 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.

Who You'll Work With

Reports to: Principal Engineer of XTM Foundation team.

Key collaborators: Engineers and Engineering Managers across OpenCTI, OpenAEV, and OpenGRC product teams; VP of Technology; CTO.

Working model: You will split your time between XTM Foundation team work (research, experimentation, standards) and direct collaboration with product teams to embed AI practices in real engineering workflows.

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