TECH-504/EN- Engineering Manager - Knowledge Platform

We are a global legal AI company that combines advanced expertise in artificial intelligence with deep knowledge of law and contracts. Since our founding in 2017, we have been focused on building AI-powered legal services. We have raised a total of approximately $286 million across multiple funding rounds and are growing at an extraordinary pace. In 2022, we established a U.S. subsidiary to accelerate our global expansion. Today, our flagship product, LegalOn: World Leading Legal AI, is available not only in Japan, but also in the U.S. and the U.K. We are also boldly exploring new business areas. In January 2025, we expanded our scope across the corporate domain with the launch of CorporateOn, our AI Counsel product. Our solutions incorporate cutting-edge technologies in natural language processing and machine learning, including large language models (LLMs), a structured Legal Document Graph for organizing legal information, and autonomous AI agents capable of planning and executing legal tasks. In addition, we have formed a strategic partnership with OpenAI, enabling us to deliver advanced user experiences and innovative legal solutions as a leader in the legal AI space. For more details about our company, products, and development organization: https://legalforce-recruit.notion.site/LegalOn-Technologies-3e114a8aecfb410a96424e34a0ed8bd6 【Key Responsibilities】 The Knowledge Platform team is building a company-wide platform that extracts and organizes valuable insights from a diverse range of data sources—including contracts, case files, legal documents, and internal materials—so that this knowledge can be leveraged across multiple products. We are seeking a mission-driven Software Engineering Manager to lead the development of internal applications and platform features that extract, structure, and serve knowledge from a diverse range of documents and internal content. You will help accelerate LegalOn’s AI-native transformation by optimizing the information extraction process and enhancing our platform’s impact across multiple products. ■ What Mission and Challenges You’ll Take On - Build and scale a robust knowledge platform that powers various LegalOn products by structuring unorganized data into reusable knowledge - Lead the development and operation of internal web applications used for document processing and information extraction - Drive cross-functional collaboration to streamline data ingestion, annotation, and review workflows across the organization ■ What You’ll Do - Define and drive the technical vision, architecture, and roadmap for the knowledge platform and internal tools - Collaborate with product managers, designers, and AI engineers to identify opportunities and prioritize features - Manage day-to-day execution of software projects, ensuring high quality and timely delivery - Support the growth and engagement of a high-performing engineering team through hiring, mentoring, and performance management - Continuously improve the team’s development lifecycle, including design reviews, testing strategies, deployment automation, and operational excellence The details are described in the Notion page below: https://legalforce-recruit.notion.site/LegalOn-Technologies-f5ebe38a6009428ab0fb1714efd3c90a

- 5+ years of professional software engineering or AI engineering experience - 2+ years of engineering management experience, including team leadership and project delivery - Experience developing and operating web applications and APIs - Strong problem-solving and technical communication skills - Bachelor's Degree in Computer Science or a related technical field - Japanese language proficiency equivalent to JLPT N2 or higher - Business-level English proficiency, including: - Reading and writing skills for technical and business documentation - Clear and effective communication in both verbal and written formats

- Experience managing a team of 5 or more engineers, including performance management - Hands-on experience with Large Language Models (LLMs), including prompt engineering, fine-tuning, or integration into real-world applications - Experience building AI-native products where AI is central to user workflows - Experience designing and building internal tools to support content or data operations - Familiarity with web applications tech stack and micro-service architectures - Knowledge of document processing, information extraction, or knowledge management systems - Strong collaboration skills with cross-functional teams - Strong communication skills, with the ability to work effectively across diverse cultures in both English and Japanese