Mercari, Inc.

Technical Program Manager

• Lead critical AI initiatives as a Technical Program Manager on the AI Taskforce.
• Drive creation of a foundational Generative AI platform by integrating best-in-class services for product teams.
• Manage programs to improve internal engineering productivity using AI across Mercari’s SDLC.
• Serve as central coordinator for AI strategy, ensuring timely delivery of complex projects.
• Manage full lifecycle of GenAI integrations from prototyping to full-scale deployment and iteration.
• Partner with engineering and product leaders to define AI platform roadmaps for standardized, secure, scalable infrastructure.
• Act as liaison between AI Taskforce and internal teams to drive adoption of AI capabilities.
• Lead operational governance programs for compliance, security, and ethical AI frameworks.
• Develop enablement and adoption programs, including training, APIs, documentation, and support channels.
• Identify and mitigate risks related to model performance, cost, data security, and vendor dependencies

AI Engineer

• Design, develop, and deploy innovative AI applications using foundation models (LLMs, Multimodal Models) across Mercari.
• Build foundational platforms and services enabling product teams to ship scalable AI features.
• Build Foundational AI Services using prompt engineering, RAG, and fine-tuning to solve high-impact problems.
• Collaborate with product, engineering, and infrastructure teams to integrate AI into the Mercari app and architect modular scalable solutions.
• Develop evaluation pipelines to measure, monitor, and improve model performance focusing on accuracy, latency, cost, and responsible AI.
• Own features end-to-end: problem scoping, prototyping, production deployment, maintenance, and iteration based on metrics and user feedback.
• Stay at the forefront of AI engineering advancements and share knowledge to uplift organization capabilities.

Technical Product Manager

• Responsible for a wide range of product management tasks in Mercari Group's Trust & Safety area (fraud/abuse prevention, financial crime prevention)
• Use products to address unauthorized logins, fraudulent payments, and fraudulent listings
• Improve existing features and participate in internal fraud prevention projects
• Formulate mid-term strategies for TnS products and implement current product tasks and improve fraud monitoring operations
• Own the vision, roadmap, and delivery for the internal Tool powering reports, escalations, and moderation
• Partner with Engineering, Design, CS, TnS and related teams to build scalable internal tools
• Translate operational needs into clear product requirements and user stories
• Define KPIs, run experiments, and use data to guide decisions
• Ensure features support risk detection, abuse prevention, and regulatory compliance
• Bridge communication between Japan-based teams and global stakeholders

Technical Product Manager, Japanese Bilingual

Machine Learning Engineer

• Lead the end-to-end ML model lifecycle: identify machine learning opportunities through data and metric analysis, define and track KPIs, and ship iterations aligned with product and business goals.
• Design, develop, and maintain ML pipelines, including feature engineering, model training, deployment, and monitoring.
• Implement scalable inference services and APIs for real-time and batch predictions.
• Improve model accuracy, inference speed, and robustness through experimentation, hyperparameter tuning, and feature optimization.
• Ensure reliability through comprehensive automated testing, observability, and reproducibility of ML experiments.
• Mentor junior engineers, lead code and model reviews, and contribute to architectural decisions and technical documentation.
• Collaborate with cross-functional teams across product, engineering, and operations and with teams in the US and Japan to deliver high-impact ML solutions at global scale.
• Architect and operate highly scalable ML services and pipelines to support rapid user and product growth in the US market.
• Leverage large language models (LLMs) and generative AI to enhance search recall, content understanding, and overall user experience.
• Optimize experimentation frameworks to accelerate product iteration and innovation.

Software Engineer, Machine Learning

Data Analyst

• 就業型インターンとして現場のプロジェクトに配属され、チームの一員として業務を担当
• データ分析によってメルカリのプロダクト改善機会を発見・提案
• マーケティングの効果最大化のための分析業務
• メルカリグループ横断での経営意思決定を支援するための分析とインサイト提供
• 大量の行動ログや取引データを用いた実務的な分析業務に携わる
• 社内の各部署と協働し、施策検証やKPI設計、モデル構築などを行う
• 分析結果や考察をわかりやすく社内に伝達し、意思決定をサポートする

Data Analyst / データアナリスト – Internship

Producer

• メルカリグループのミッション・バリューを深く理解し、Webサイトを通じたブランドコミュニケーションを主導する
• ブランド戦略に基づいたWebサイトの企画・ディレクションを行う（各タッチポイントのデザインやメッセージ整理、サイト横断のシームレスな体験設計）
• コーポレートサイトの管理オーナーとして、予算管理、運用更新、品質管理などの定常業務を遂行する
• データやユーザー行動に基づいたコミュニケーション・デザイン施策のプランニングやディレクションを実施する（Google Analytics、A/Bテスト等を活用）
• コーポレートサイト、採用サイト、SDGsサイトなどの運用・リニューアルおよびブランドサイトや新規タッチポイントのコンセプト設計・制作ディレクションに携わる

Web Director / Producer

Customer Support

• Social Support主要業務に対する四半期毎のKPI推進・達成
• 社内外とのミーティングへの参加、ファシリテート
• 5人以上のチームメンバーの生産性・品質のリード
• 障害発生時の社内外のコミュニケーション対応
• オペレーションに関するリスクアセスメントの実施
• オペレーションの現場に入り込んだ運用課題の特定と改善
• オペレーションに関するプロジェクトの管理と推進
• 開発部門、Marketing、PR、法務などと協業してカスタマー体験の向上を検討・実行