[All remote jobs](https://jobicy.com/jobs.md)[![Filigran logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/11/7b905d81717f-221.webp)](https://jobicy.com/company/filigran.md)[Filigran](https://jobicy.com/company/filigran.md) # Senior Software Engineer — AI-Native Engineering (XTM Foundation) AI Summary Filigran is seeking a senior full-stack software engineer to establish and lead AI-native engineering practices across its product organization. The role combines hands-on software development with evaluation of AI coding agents, developer workflows, quality guardrails, and CI automation. The engineer will run measurable experiments, create shared tooling and standards, and help approximately 80 engineers adopt effective AI-assisted development practices. Success requires deep technical judgment, strong communication with skeptical and junior engineers alike, and autonomous leadership in a fast-moving remote cybersecurity company.[Apply for this job](#job-application)[View company](https://jobicy.com/company/filigran.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md), [Spain](https://jobicy.com/job-region/spain.md), [Germany](https://jobicy.com/job-region/germany.md)+2 more, [France](https://jobicy.com/job-region/france.md), [Italy](https://jobicy.com/job-region/italy.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceDirectorPublished10 Nov 2026Apply before10 Dec 2026Listing views24Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. ### 🌀 The Company Founded in 2022, [Filigran](https://jobicy.com/company/filigran.md) 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 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. ### 🌱 Why Join Filigran? More than just a job. We are a fast-growing, global and remote-first company, and we believe the best work combines purpose, impact and innovation. You’ll work alongside talented people across the world who care about what they build, how they build it, and the impact they make on the broader cybersecurity ecosystem. ⭐ Be part of something bigger We believe we do work that matters. Our open-source approach means that work extends beyond Filigran. You’re contributing to technology and ideas that strengthen a global community of defenders and help make cybersecurity more open and collaborative. 💻 Work at the edge of what’s next We bring together cybersecurity, open source and AI — giving you the opportunity to work with emerging technologies, experiment with new ways of working, and contribute to how they are applied in practice. 🌍 Global opportunity without borders Be part of a fast-growing, truly international team — collaborating across Europe, North America, APJ and beyond, with the flexibility of a remote-first environment. As we grow, you’ll have opportunities to expand your scope, take ownership, learn quickly and grow with us. 🧭 A culture grounded in CORE Cohesion, Openness, Responsibility and Equity define how we work together — with openness, ownership, collaboration and respect. These are the principles that guide how we make decisions, treat people and grow together, especially when no one’s watching. ### 💰 What you can expect * 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 ### 🌍 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 the diversity of our people makes 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. Show more [Apply now >](https://jobicy.com/jobs/161063-senior-software-engineer-ai-native-engineering-xtm-foundation.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a highly senior, ambiguous role requiring both strong end-to-end engineering ability and evidence-based leadership of organizational change. The candidate must continuously assess an evolving AI tooling landscape while ensuring code quality, security, maintainability, and adoption across multiple teams. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$170,000US market range (per year)$140k–$210k0$231.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base-pay range is disclosed. The figures shown are estimated annual USD compensation for a senior software engineer leading AI-native engineering practices in the US market; they are not employer-provided amounts. ## Core skills Skills and capabilities most closely associated with this opportunity. [Full-stack software engineering](https://jobicy.com/jobs?search_keywords=Full-stack%20software%20engineering.md)[AI-assisted development](https://jobicy.com/jobs?search_keywords=AI-assisted%20development.md)[LLM coding agents](https://jobicy.com/jobs?search_keywords=LLM%20coding%20agents.md)[GitHub Copilot](https://jobicy.com/jobs?search_keywords=GitHub%20Copilot.md)[Cursor](https://jobicy.com/jobs?search_keywords=Cursor.md)[Model Context Protocol](https://jobicy.com/jobs?search_keywords=Model%20Context%20Protocol.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[CI/CD automation](https://jobicy.com/jobs?search_keywords=CICD%20automation.md)[Code review](https://jobicy.com/jobs?search_keywords=Code%20review.md)[Test automation](https://jobicy.com/jobs?search_keywords=Test%20automation.md)[Software architecture](https://jobicy.com/jobs?search_keywords=Software%20architecture.md)[Engineering standards](https://jobicy.com/jobs?search_keywords=Engineering%20standards.md)[Developer productivity measurement](https://jobicy.com/jobs?search_keywords=Developer%20productivity%20measurement.md)[Technical leadership](https://jobicy.com/jobs?search_keywords=Technical%20leadership.md)[Cybersecurity](https://jobicy.com/jobs?search_keywords=Cybersecurity.md) Sample interview questionsHow would you evaluate whether an AI coding tool improves engineering outcomes rather than simply increasing code output?I would define a controlled pilot with representative teams and baseline metrics such as cycle time, review rework, escaped defects, test coverage, and developer satisfaction. I would compare outcomes against a pre-pilot period, review qualitative feedback, and assess whether gains persist without increasing maintenance or security risk. Describe how you would introduce AI-assisted development practices to engineers who are skeptical of them. I would start with concrete, low-risk use cases such as test generation, documentation, or review assistance and demonstrate results using real team work. I would be transparent about failures and limitations, invite skeptical engineers into pilots, and let measured evidence guide adoption rather than mandating a tool without proof. What guardrails would you establish for AI-generated code in a security-focused software organization? I would require normal ownership and review standards, automated tests, dependency and secret scanning, secure coding checks, and clear rules for what data may be sent to external models. I would also version AI configuration, document approved tools and prompts, and monitor generated-code patterns that create maintainability or licensing risks. How would you design an AI-assisted flaky-test triage workflow in CI? I would collect test logs, recent code changes, execution history, and environmental signals into a structured context for the agent. The agent could cluster recurring failure signatures, propose likely causes and owners, and create a reviewable issue or pull request, while deterministic CI checks and human approval remain the final authority. How do you balance rapid experimentation with maintaining reliable engineering standards? I separate experiments from production standards through time-boxed pilots, explicit hypotheses, success criteria, and rollback paths. Practices only become shared standards after evidence shows they improve delivery without compromising reliability, security, code quality, or developer experience. Next step ## Apply now. 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