株式会社エキュメノポリス
生成AI活用企業
【Stock Options/DeepTech/Conversational AI/English Required】Product Manager (Learning Experience) | AI Platform for Dialogue Information
最終更新日:
企業情報をみる職種
フルスタックエンジニア/プロダクトマネージャー年収
600万円 〜 1,100万円利用技術
こだわり条件
生成AIの活用状況
最終更新日:2025-06-03最新の情報についてはカジュアル面談や選考の中で確認ください。
生成AI技術/ツールの導入・活用状況
生成AIモデルの開発・LLM技術の研究開発を行っているプロダクト/サービスへの組み込みを実施・推進している社内活用による業務効率化を目的に導入・活用している
開発組織において公式に導入・活用されているAIツール・機能・技術
仕事内容
・Design and optimize learning experiences: Create and enhance interactive learning processes using A
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開発環境
Development Environment
Dev Team (Total 12 members, including contractors)
・PdM (also serving as PO): 2
・Project Manager: 1
・Tech Lead / Architect / Full-stack Engineer: 1
・Scrum Master / Full-stack Engineer: 1
・Scrum Master / Frontend Engineer: 1
・Backend Engineer: 2 members
・Frontend Engineer: 2 members
・Full-stack Engineer: 1 member
・QA Engineer: 1
Tech Stack
・Backend: Typescript/Node.js/Python
・Frontend: React
・Infrastructure: GCP, Terraform, Docker, etc.
・Others: GitHub, ClickUp, Slack, Notion, Gather, etc.
*We are also planning new product development, where technology selection will be made from scratch
*You don't need to be proficient in all of the above tech stack
求めるスキル
必須スキル/経験
・Hands-on experience as a Product Manager, including defining requirements, conducting user research, roadmap planning, and managing releases; plus project management experience (preferably in education, EdTech, or AI)
・Proven track record of collaborating with engineers and designers to prioritize and define features
・Strong decision-making skills based on user-centric design thinking and a passion for social impact
・Knowledge and practical experience with Agile/Scrum methodologies
・Experience in curriculum design and learning experience design, supported by expertise in learning science or educational design
・Data analysis skills for extracting insights from learning data and proposing improvements
・Excellent communication and stakeholder management skills, both internal and external
・Ability to take initiative and thrive in fast-paced, constantly changing startup environments
・Fluent English required (Professional-level Japanese preferred also)
歓迎スキル/経験
・Experience in the EdTech industry
・Development or operation of AI-powered learning support systems
・UX research and analysis of learner insights
・Experience designing and implementing curricula for educational institutions or corporate training
求める人物像
Desired Candidate Profile
・Actively communicates with internal and external teams to ensure smooth information exchange
・Manages projects with a strong awareness of deadlines
・Comfortable in a startup environment and possesses flexibility
仕事の魅力
Why Join Us?
■Overview
Equmenopolis, established in May 2022 as a spin-off from Waseda University's Conversational AI Media Research Group, is a university-launched startup planning and developing "EQU AI Platform." This cutting-edge conversational AI diagnostic platform enables ability assessment and growth support through natural dialogue.
The "EQU AI Platform," built on patented technology, creates a dialogue process that generates insights and changes beyond traditional Q&A evaluations. Our AI real-time captures emotions and intentions, context and appropriateness of responses, and provides optimal feedback and learning support to users.
The platform was officially introduced into Waseda University's regular English conversation classes in 2023. Furthermore, in March 2023, we were the sole East Asian finalist to present at "SXSW EDU Launch," an educational startup pitch competition at SXSW (South by Southwest), a world-renowned creative event, significantly boosting our global recognition.
As our services expand, we're looking for teammates to innovate the future of language education with us. Our team comprises members with diverse backgrounds, from multimodal dialogue systems, natural language processing, and second language acquisition to learning science, digital humans, quantum computing, and media art. Our team members also come from various countries, including Japan, the US, the UK, Spain, and Poland.
■Background of Recruitment Expansion
We're strengthening our organization and building a robust technical foundation to diversify our business:
1. Developing conversational AI agents for diagnostic evaluation and learning support as a PaaS, providing an application development environment that caters to diverse needs for conversational diagnostics
2. Advancing technology that integrates and utilizes multimodal data (voice, text, gaze, facial expressions, dialogue structure) to comprehensively evaluate and diagnose dialogue flow, appropriateness, and "interaction skills"—aspects that were challenging with conventional language evaluation systems
3. Generalizing the foundational technology cultivated with "LANGX Speaking" to expand into a broader language education market beyond English conversation learning, as well as specialized fields such as corporate training, customer support, and healthcare. Specifically, in the near future, we plan to develop self-learning Japanese applications tailored for specific industries for foreign learners