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Technical Product Manager (AI Enablement) - Mercari

Salary not provided

English & Japanese
English: FluentJapanese: Fluent

Minimum year of experience: 3

Mercari

Technical Product Manager (AI Enablement) - Mercari

  • Employment type: Full-time employee
  • Work style: Flextime (no core hours)
  • Location: Roppongi, Minato City, Tokyo, Japan

About the Mercari Group

"With the earth's resources limited, what can we do to build a more abundant society?" In 2013, the flea market app "Mercari" was born out of a sense of purpose that founder Shintaro Yamada developed during a trip around the world. We believe that by circulating all forms of value—not limited to physical goods and money—we can expand everyone's options to realize what they want to do and to contribute to people and society.

Through technology, we connect people around the world and work to realize a world in which the potential of all people can be unleashed.

Organization / Team Mission

AI Enablement designs how the Mercari Group builds products next (Mercari AI PDLC: Product Development Life Cycle). Our mission is to convert the Group's product development process into an AI-native one, across the Marketplace, FinTech and Cross-Border businesses.

Our customers are internal: every discipline that works inside the development process—Product Management, Engineering, Design, QA, BI, Marketing, Compliance, and Legal. We work alongside product and engineering teams to turn what works into something the whole Group can rely on.

AI capability changes every quarter. We keep a clear view of what AI can do today, what it will do in 6–12 months, and we plan against both. Team adoption and continued use measure our success.

Under a development structure that assumes AI, we pursue both speed and the maximization of customer value. Product Managers focus on the most important problem discovery (Discovery) and business outcomes (Outcome), moving products forward in an AI-native way.

With AI, the scope of one person's role expands. Small teams can own a whole product area, so we run more of those teams and pursue more customer value at once. Each team owns its area from problem to release and keeps the judgement: what to build and what to ship.

Responsibilities

Hundreds of engineers, product managers, designers, QA engineers and analysts build Mercari's products across several businesses. You will own how they work: the tools they use, the practices they follow, and the processes they run.

You will be tasked with answering: When an agent can write, test and review a significant share of the work, what does the best version of our development process look like, and what has to change to get there? You will work with teams, prove solutions with working software, and embed best practices into how Mercari develops products.

Key Responsibilities

  1. Own the strategy and roadmap for how Mercari builds products

    • Define what AI-native development looks like here: tools, practices, processes, and the order of changes.
    • Decide the next steps using evidence from the teams, market, and your own experiments; align with leadership and function leads.
    • Keep plans live—update them as new evidence arrives and explain what changed.

  2. Find the problems worth solving

    • Work directly with product teams across the Group to see where the current way of working costs time or quality. Watch real work for the clearest signals.
    • Turn findings into a prioritized set of hypotheses, each with a pre-agreed success condition.
    • Use AI tools to accelerate research, analysis, and prototyping in days rather than sprints.

  3. Build it, then prove it works

    • Prototype yourself—build a working version if it's faster than documenting.
    • Set success criteria with impacted teams before piloting; judge against these criteria.
    • Decide what "graduates"—many experiments, few become permanent. Graduate tools into platform services and scale across the company.

  4. Get it adopted and check that it lasts

    • Design the adoption path: onboarding, documentation, training, and timely internal communications.
    • Treat enablement as a product: users, quality bar, measurement.
    • Track adoption and output quality to decide next steps—both should improve.

  5. Work across every discipline in the lifecycle

    • Partner with Product Management, Engineering, Design, QA, BI, Marketing, Compliance, and Legal. Build a shared view of changes and team autonomy.
    • Give leadership a clear position on what AI can do now, what within a year, and the implications on immediate decisions.

Examples of Tools Used

  • General chat / generative AI: Claude, Gemini
  • Knowledge QA / research support: Notion AI, NotebookLM (document upload + Q&A)
  • Development support (code completion, coding agents, IDE): Claude Code, Cursor, GitHub Copilot, Devin, Codex, Gemini Code Assist
  • Workflow automation / AI app development (no-code / low-code): Zapier, n8n

Unique Challenges

  • Company-wide scope: Changes affect the daily work of hundreds across several businesses.
  • Hands-on approach: Prototyping is part of your job—use the latest tools yourself, often before others.
  • No existing playbook: No company has solved AI-native product development; you get to write and distribute the playbook for Mercari.
  • Transformation through product: New working methods are adopted because they’re clearly better; working demos travel faster than mandates.
  • Judgment for longevity: Most AI tools will be replaced within a year; some become company foundations. Spotting these early is a crucial challenge.
  • Broader discretion: Beyond data platforms and product dev, you’ll plan and push new customer experiences, enabling PdMs to focus on Discovery and Outcome.

Requirements

必須の経験・スキル / Required Experience & Skills

  • メルカリグループおよび各社のミッションとバリューに共感していること
    (You resonate with the mission and values of the Mercari Group and of each company)
  • AIを活用し、課題発見から価値の提供まで一貫してオーナーシップを発揮してきた実績があること
    (Demonstrable, consistent ownership from discovery through to delivered value, using AI)
  • AIツールをリサーチ、仮説検証、プロトタイピングに活用し、データとユーザー理解を組み合わせて、意思決定の質とスピードを高めた経験
    (Experience using AI tools for research, hypothesis validation, and prototyping; integrating data and user understanding; and improving the quality and speed of decision-making)
  • 機能の数ではなく、測定可能な成果に責任を持ち、発見 → 構築 → 学習のサイクル全体をリードした経験。このポジションで追求する成果は社内にあり、新しい働き方がどれだけ広く使われるか、そしてその結果として仕事のスピードと品質がどう変わるかです
    (Experience owning a measurable outcome rather than a feature count, and leading the full cycle of discover → build → learn. The outcomes in this role are internal: how widely a new way of working is adopted, and the speed and quality of the work that follows)
  • リリース後も責任を持ち、利用促進、部門横断の調整、実際の使われ方からの学習に取り組んだ経験
    (Experience owning the period after a release: driving adoption, coordinating across divisions, and learning from how people actually use what you shipped)
  • 社内ツール、開発者向けプラットフォーム、SaaS、インフラなど、技術系プロダクトのプロダクトマネジメント経験（3年以上）
    (Experience in product management for technical products (3+ years), for example internal tooling, developer platforms, SaaS or infrastructure)
  • ソフトウェア開発に関する基礎知識（アジャイルなど）と、エンジニアリングチームとの協働経験
    (Basic knowledge of software development (agile, etc.) and experience collaborating with engineering teams)
  • SQLなどを用いたデータ分析を通じてインサイトを導き出した経験
    (Experience extracting insights through data analysis using SQL, etc.)

歓迎する経験・スキル / Preferred Experience & Skills

  • Web、モバイル、バックエンド、データ、デザインシステムなど、複数の領域でテクニカルプロダクトマネージャーを務めた経験。このポジションでは、一つの領域の深さよりも幅広さを重視します
    (Experience as a technical product manager across more than one domain, for example web, mobile, backend, data or design systems. Breadth matters here more than depth in any single one)
  • 自分の指揮命令系統の外にいる人々の働き方を変え、その変化を定着させた経験
    (Experience changing how people work outside your own reporting line, and making the change stick)
  • チャット利用にとどまらないAIツールの実践経験。必要なコンテキストの提供、エージェントが呼び出せるツールの定義、評価セットを用いた出力品質の確認など
    (Practical experience with AI tools beyond chat: supplying the context, defining the tools an agent can call, and checking output quality with an evaluation set)
  • 社内プロダクト、プラットフォーム、開発者体験、開発生産性など、利用するかどうかを各チームが選べる領域での経験
    (Experience with internal products, platform work, developer experience or developer productivity, where teams choose whether to adopt what you build)
  • 社内プロダクトをゼロから立ち上げ、広く使われるものへと育てた経験
    (Experience taking an internal product from nothing to something, and then to widely used)
  • 法務、BizOps、経営陣、社外パートナーとの合意形成の経験
    (Experience aligning with Legal, BizOps, leadership and external partners)
  • 実験と指標を扱うことに慣れており、検証を設計し、結果を読み解き、必要に応じて自分の考えを変えられること
    (Comfortable with experiments and metrics. You can design a test, read the result, and change your mind)
  • 社内向けのイネーブルメント施策、研修、技術ドキュメントを設計した経験
    (Experience designing enablement, training or technical documentation for an internal audience)

語学力 / Language

  • 日本語：Proficient（CEFR B2）以上必須
  • 英語：Proficient（CEFR B2）以上必須
  • 毎週、両方の言語を使用します。各職能のリードとの議論やチーム向けの研修は主に日本語で行い、文書は日英両言語で発信します。（You will use both languages every week. Discussions with the function leads and training for the teams happen mostly in Japanese, and written material goes out in both.）

About the Selection Process

At the Mercari Group, we value resonance with and embodiment of our mission and values. To build an organization maximizing the total value our members create, we want to accurately understand each candidate's experience and skills.

Selection Flow

  • Document screening
  • Interviews: multiple rounds depending on the position
  • Reference check: online response format (conducted around the final interview)
  • Offer: based on the final interview and reference check

Equal Opportunity

At Mercari, we aim to realize a society where an individual's potential is not predetermined by their background and everyone has the opportunity to freely create value. "Inclusion & Diversity" is indispensable to realizing our mission.

In our hiring activities, we promise to eliminate all discrimination based on age, gender, sexual orientation, race, religion, physical ability, or any other attribute. For details, see our I&D statement.

Please also review our Privacy Policy when you apply.

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