About the role
Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: The Senior Localization Engineer, Applied AI is a pivotal technical lead role responsible for the next-generation evolution of Tenable's established multilingual delivery infrastructure. This role requires a dual focus: providing strategic architectural direction while maintaining hands-on expertise in multilingual content engineering, system integration, and workflow automation. This is a unique opportunity to evolve our global content delivery platform — scalable and optimized for integrating AI-led technologies — accelerating the global delivery of multilingual content across Tenable's international markets. Reporting to the Sr Director of Globalisation, you will serve as the primary technical authority for
the team, while evolving a system architecture that achieves tangible productivity outcomes through AI-led automation. Your
Responsibilities: Lead the shift from automated to AI-led localization: Lead the evolution of AI/LLM-led workflows built for accelerated, simultaneous multi-language releases, focusing on product UI first. Gradually extend the AI-led pipeline model across the content stack: Take the principles proven in the product UI pipeline and, working with partner engineers, apply to other content areas — online documentation, marketing, and beyond, scale a consistent, AI-led delivery approach across Tenable's international content ecosystem. Shape standards and governance: Define high-standard technical best practices, system hygiene norms, and engineering documentation that the wider team can build on as you are leading through the shift. Build intelligence into operations: Complement existing reporting with AI-powered reporting. Lead, build and orchestrate: Own hands-on delivery of key initiatives while directing contracted and distributed engineering partners on others — with the judgment to know which work to keep close and which to delegate effectively. What You'll Need: We're building at the frontier of AI-led localization — which means the landscape shifts fast, and so do we. We value curiosity and a genuine drive to learn at least as much as specific tool experience. Strong foundations plus the energy to grow are highly valued. Here is what we are looking for: AI-forward mindset: You're energized by the pace of change in AI tooling, follow new developments actively, and bring that curiosity into your engineering work. LLM integration: Hands-on experience integrating LLMs (ideally Claude/Anthropic) and agentic steps into engineering workflows — building reliable, production-grade AI pipelines and programmatic model improvement. Pipeline architecture: Ability to design event-driven, API-first translation infrastructure — where content from repos, CMS platforms, and databases flows automatically into translation engines, triggered by code commits, content changes, or release events. This also includes web and content delivery workflows such as CMS-driven and proxy-based localization solutions Internationalization & Localization engineering: Strong i18n/l10n engineering awareness — string externalisation, relevant frameworks, and deep familiarity with localization file formats and encoding conventions across content types. Translation Management Systems: Solid understanding of TMS principles -Translation Memory, Machine Translation, and next-generation integration frameworks. Good understanding of CI/CD and DevOps frameworks and principles. Strong scripting ability (Javascript, Python, Regex). Design for scale: Solutions that generalise across content types and delivery channels where appropriate. Stakeholder communication: Comfortable bridging engineering and non-engineering colleagues — linguists, project managers, developers, architects. Documentation discipline: Strong documentation habits — knowledge transfer is built into
