Productivity Engineer at Treasure AI

Minato, , Japan -

Full Time

Start Date

Immediate

Expiry Date

09 Sep, 26

Salary

0.0

Posted On

11 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

System Development, Automation, Internal Tooling, DevOps, Python, Node.js, TypeScript, CRM Platforms, Ticketing Platforms, Workflow Automation, AI/LLM Integration, API Design, English Proficiency, Japanese Proficiency, Backend Development, Full-stack Development

Industry

Description

Treasure AI: トレジャーAIの社員は情熱的で、データドリブン、そして顧客第一主義です。私たちは、自ら行動を起こし、ニーズを先読みし、主体的に問題解決に取り組むドライバーの集まりです。私たちの行動は、誠実さ、信頼性、オープンさ、そして謙虚さという価値観を体現しています。 Your Role: We are seeking a Productivity Engineer to design, build, and operate internal systems and automation that improve productivity across the organization. The Productivity Engineer (PE) discipline is responsible for replacing internal silos, manual work, and tribal knowledge with scalable, maintainable, AI-native systems. As a Productivity Engineer at this level, you will develop your engineering foundation by delivering tangible improvements to internal tools, automation, and platform operations under the guidance of senior team members, while taking ownership of the systems you contribute to. 組織横断的に生産性を高めるための社内システムや業務自動化ソリューションの設計・開発・運用を担う Productivity Engineer を募集しています。Productivity Engineer（PE）職能は、社内のサイロ・手作業・属人化を、スケーラブルで保守可能、かつAIネイティブなシステムに置き換えることに責任を持ちます。本レベル（L5）では、シニアメンバーのガイダンスのもとで社内ツール・業務自動化・プラットフォーム運用に対して具体的な改善を提供しながら、エンジニアリングの基礎を確立し、自身が貢献するシステムへのオーナーシップを身につけていただきます。 Responsibilities: Pillar ① Internal Systems & Tooling Implement internal tools, scripts, admin console extensions, and small-scale operational systems under the guidance and code review of senior team members Maintain and incrementally improve assigned systems, ensuring reliability and operational quality Proactively surface improvement opportunities discovered through hands-on work シニアメンバーのガイダンスとコードレビューのもと、社内ツール、スクリプト、Admin Console拡張、小規模な運用システムを実装担当システムの保守と継続的な改善、信頼性・運用品質の確保実装業務を通じて発見した改善機会を主体的に発信 Pillar ② Workflow Automation & AI Integration Build automation scripts and small-scale pipelines under guidance Learn and apply patterns for embedding AI/LLM APIs, agents, and skills into operational workflows Identify candidate processes for automation and propose simple solutions ガイダンスのもとで自動化スクリプトや小規模パイプラインを構築 AI/LLM API、エージェント、スキルを業務ワークフローに組み込むパターンを学習・適用自動化候補となるプロセスを特定し、シンプルなソリューションを提案 Pillar ③ Platform Infrastructure Carry out configuration, operation, and incremental improvement of existing internal platforms (e.g., documentation systems, ticketing tools, knowledge bases) Create templates, guides, and small integration tasks reliably Support migration and integration projects led by senior team members 既存の社内プラットフォーム（ドキュメントシステム、チケッティング、ナレッジ基盤など）の設定・運用・継続改善テンプレート作成、ガイド整備、小規模な統合作業を確実に実施シニアが主導する移行・統合プロジェクトをサポート Pillar ④ Cross-Functional Operational Improvement Communicate effectively with stakeholders in your assigned projects: gather requirements, confirm understanding, and share progress Identify operational pain points within your scope and propose improvements Complete small-to-medium improvement tasks end-to-end with senior guidance on direction and trade-offs 担当案件において、関係部署とのコミュニケーション（要件ヒアリング、認識合わせ、進捗共有）を確実に実施担当範囲内の運用課題を特定し、改善を提案シニアからの方向性・トレードオフ判断のサポートを受けつつ、小〜中規模の改善案件をエンドツーエンドで完遂 Scope & Impact Individual contributor focused on assigned systems and projects Evaluated on engineering quality, system reliability, on-time delivery, and the volume and quality of contributions to internal tools, automation, and platform operations 担当システム・プロジェクトに集中する個人コントリビューターエンジニアリング品質、システム信頼性、納期遵守、社内ツール・自動化・プラットフォーム運用への貢献量・品質で評価繰り返し発生するパターンを特定し、改善アイデアをチームに共有 Job Requirements: Engineering background in system development, automation, internal tooling, DevOps, or systems engineering Knowledge of backend or full-stack technologies (e.g., Python, Node.js, TypeScript) Experience with at least one CRM or ticketing platform (e.g., Salesforce, HubSpot, Zendesk) or equivalent SaaS tooling Familiarity with workflow automation (e.g., Zapier, Workato, Slack Workflows, Cloud Functions, GitHub Actions, or similar) Ability to translate business requests into concrete technical tasks Business-level Japanese and English skills システム開発、業務自動化、社内ツール開発、DevOps、システムエンジニアリング分野でのエンジニア経験バックエンドまたはフルスタック技術（Python、Node.js、TypeScript等）の知識 CRMまたはチケッティング系SaaS（Salesforce、HubSpot、Zendeskなど）の利用経験ワークフロー自動化（Zapier、Workato、Slack Workflows、Cloud Functions、GitHub Actions等）の経験ビジネスリクエストを具体的な技術タスクに変換できる力ビジネスレベルの日本語および英語力 Preference Experience in B2B SaaS environments or internal productivity engineering Familiarity with data flow, APIs, integration design patterns, or IT governance Background in technical support, customer success engineering, or site reliability engineering Familiarity with documentation platforms (e.g., Confluence, GitHub, Redocly, ClickHelp) Exposure to AI/LLM-based applications, agents, or skills frameworks B2B SaaS企業での勤務経験、または社内生産性向上を担うエンジニアリング経験データフロー、API設計、システム連携パターン、ITガバナンスへの理解テクニカルサポート、カスタマーサクセスエンジニア、SREなどのバックグラウンドドキュメントプラットフォーム（Confluence、GitHub、Redocly、ClickHelp等）の経験 AI/LLMベースのアプリ、エージェント、スキルフレームワークへの実務経験 Physical Requirements: 3days office in a week Travel Requirements: Working out of the Tokyo, Japan office according to our “Global Hybrid Working Policy Our Dedication to You: We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives. Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it. Agencies and Recruiters: We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation! This description captures the core of the role today. As we adopt AI and new ways of working, responsibilities may evolve, and we encourage team members to take initiative, lean into change, and help expand the impact of their role beyond what’s listed here.

Responsibilities

Design, build, and operate internal systems and AI-native automation to eliminate manual work and organizational silos. Focus on improving internal tooling, platform infrastructure, and cross-functional operational workflows.