The opportunity
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.
What you'll do
Build and Own the Localization Automation Framework: Design, develop, and maintain the core automation workflows for our content lifecycle using agentic workflows, Python and APIs, connecting our TMS with content sources, repositories, and other internal tools.
Spearhead AI and Technology Integration: Research, evaluate, and implement cutting-edge localization technologies, including AI/LLM-based solutions and advanced TMS features, to improve the quality, speed, and cost-effectiveness of our workflows.
Provide Technical Oversight and Systems Integrity: Act as the authority for resolving high-impact architectural failures. Conduct deep-dive root cause analysis on complex integration issues, file parsing conflicts, and system-wide bottlenecks to ensure uninterrupted uptime for the localization pipeline.
Advise on Internationalization (i18n): Consult with product and engineering teams by providing expert technical guidance, conducting i18n code audits, and defining best practices to ensure new experiences and features are architected for seamless localization.
Manage and Optimize the TMS Environment: Serve as the primary technical owner of our Translation Management Systems (e.g., XTM, Smartling), responsible for configuration, maintenance, and optimization.
Drive Early Detection (Shift-Left Strategy): Develop and deploy "self-service" tools for dev teams, such as pseudo-localization pipelines and i18n auditing, enabling them to identify and fix UI truncation, hard-coding, and concatenation issues before they reach the translation phase.
What they're looking for
- years of experience in software or globalization engineering, with a proven: track record of architecting localization solutions at scale.
- Expert-level proficiency in Python and leveraging APIs to build and maintain: custom automation frameworks and system integrations.
- Experience with enterprise CMS or MSM platforms (e.g., Adobe Experience Manager).
- Proven, hands-on experience implementing and utilizing AI in localization: workflows (e.g., custom MT pipelines, quality estimation, prompt engineering for LLMs).
