Total 28 Education / Training job vacancies in Roppongi, Tokyo

Ensure the successful launch and provision of an innovative medicine in the Japanese market through an efficient and effective global supply chain by collaborating with internal Clinigen business units and external partners.

Lead the training and product expertise to support a unique and innovative neonatal nutritional drug introduction in the Japanese market. The Product and Training Manager spends most of their time in the field with customers and sales team members. They develop an intimate understanding of the customer needs.

Ensure that the best service is offered to healthcare professionals, patients, and other key stakeholders in an increasingly complex global business and product mix.

The partner, a U.S.-based company, is a scientifically driven company, a pioneer in its field in improving premature infant nutrition to change the standard of care for premature infants in the neonatal intensive care unit (NICU).

Reporting to: Commercial Lead: Innovative Medicines

Key Responsibilities:

Training Manager

• Develop and execute the launch plan of a biologic product (nutritional drug) that has finished clinical trial in Japan and was submitted for J-NDA in summer 2024.

• Closely work with the partner’s training team to localize the existing training program to the Japan market needs. In collaboration with the partner’s training team, develop an in-service plan, manual and other materials for Health care professionals in NICUs across Japan.

• Support the tactical implementation of strategic marketing initiative by working closely with marketing and commercial team members to ensure a thorough understanding of products

• Roll out the initial training, adjusting as necessary through feedback loops, before training a team of trainers.

• Create local language training materials in collaboration with Clinigen’s overseas external partner and relevant stakeholders internally and externally in Japan

• Spend time in the field with sales team to provide field training and assess sales team capabilities, provide feedback to management.

• Assess the needs and develop new product/nutrition/environment training to improve efficiency of sales organization

Product Manager

• Be the product champion and expert. Maintain a full and up-to-date understanding of the product line features and benefits, and industry best practices

• Develop product training material.

• Develop and execute an in-service program in line with the product lifecycle (In the introduction phase: execute in-service programs at new accounts to take the product through the key period after launch, and in the growth phase, train the sales organization to become self-sufficient with in-service). Assist customers requiring a higher level of product proficiency in the field

• Develop an intimate understanding of the customer base and its needs

• Gather market and competitive data, customer insights on products and market landscape information (including formal market research when needed), and share through reports to the Commercial Lead: Innovative Medicines and the partner

• Represent the voice of customers, create strategy and approaches to handling and overcoming objections to increase adoption.

• Address customer complaints

• Collaborate with the Medical Affairs Lead and team to train, troubleshoot, develop, and disseminate training tools for the Commercial team

• Bachelor’s degree in a science or medicine-related field

• Willingness to travel and spend substantial amounts of time in the field with sales team and customers.

• Strong understanding of Japanese NICUs, key stakeholders and decision-making units within the Japanese hospital environment

• Previous experience and qualification as a NICU nurse and/or dietitian

• Strong English and cross-cultural skills – ability and flexibility to communicate efficiently with U.S./internationally based partner team.

• Broad personal network of hospital contacts to enhance the new business pipeline

• Data-driven and analytical, with a logical approach to planning to identify and leverage opportunities

• Proactive and solutions-driven, with a high level of accountability and ownership for driving results through people

• Ability to build strong working relationships with internal and external stakeholders to collaborate effectively on projects with mutually beneficial outcomes

• Ability to create, coordinate, and maintain integrated plans and control or respond to changes in strategy and scope

• Ability to work collaboratively as a team member across various functions

• Ability to prioritize and work independently in an ambiguous, constantly changing environment

NICE TO HAVE/BE

• Ability to influence, network and interact with senior business leaders

• Ability to communicate effectively at all levels of the organization including executive management

• Competitive base salary
• Annual Performance Bonus
• Annual Remuneration Review
• Ongoing professional development
• Supportive team environment

About SmartNews 

SmartNews is a leading global information and news discovery company dedicated to delivering quality information to the people who need it. Thanks to our unique machine-learning technology and relationships with more than 3,000 global publisher partners, we provide news that matters to millions of users.

Founded in 2012 in Tokyo, SmartNews also has offices in San Francisco, Palo Alto, New York, and Singapore.

If you share our vision and are passionate about our mission, we encourage you to apply!

The Team

The Ads Ranking Team is dedicated to empower ads business by developing state-of-art ranking systems and advanced product solutions that ensures the highest relevance, profitability, and sustainability of our ad offerings. By applying a blend of engineering expertise and business insights, we strive to enhance ad performance and revenue, meeting and exceeding the expectations of our advertisers.

We are looking for talented engineers to join us in building the next-generation ad systems and products that will support our rapid and ambitious growth!

Your Role and Responsibilities:

• Develop and optimize core algorithms to generate relevant ads, driving the growth of a profitable ad ecosystem. This includes areas such as targeting, ranking, bidding and auction
• Work closely with backend engineers to develop a  highly scalable ranking and delivery system, ensuring high performance and reliability.
• Collaborate with cross-functional teams, including product managers, product specialists and sales, building product solutions to solve advertisers’ pain points and meet their needs.

Minimum requirements

• BS degree or higher in Computer Science, Computer Engineering, or a related field (Physics, Mathematics, etc.).
• Solid programming fundamentals with experience in at least one programming language (e.g., Python, Java, C++).
• Familiarity with machine learning concepts and algorithms, with a strong interest in applying them to real-world problems.
• Good problem-solving skills and a willingness to learn and adapt to complex systems.
• Strong analytical thinking and basic understanding of statistical concepts.
• Proficiency in business-level English.

Nice to have experiences/skills

• M.S. or Ph.D. in a relevant major.
• Proven research skills, demonstrated through publications in top conferences or involvement in impactful research projects.
• Internship or project experience related to large-scale ML systems.
• Basic knowledge or interest in the digital ad ecosystem.

Working condition

• Office Location: Tokyo

Click here or visit our careers site for more info.

• All healthcare and social insurance required by the Japanese labor law, plus annual health check
• Visa sponsorship and overseas relocation support available for eligible candidates

Click here or visit our careers site for more info about our benefits.

Position Overview

Forum is our Content Creation business. We produce research that allows institutional investors to make better and faster investment decisions. We conduct in depth Interviews with senior executives and industry specialists to unearth critical insights and generate unfiltered transcripts. 

Our 175-strong industry aligned team covers over 18,000 public and private companies, applying data-driven factor models to identify where capital is most likely to be deployed.  

In order for us to deliver on our ambitious growth targets, we would like to recruit an Associate to assist our growing team in Hong Kong and Japan in identifying and engaging with the most relevant industry professionals to take part in upcoming interview discussions.

What’s in it for you?

Dive into our comprehensive training program and as you progress from a new hire to a seasoned Associate, you will learn:

• About our business, our team and our clients
• How to use our proprietary tools and public databases to prospect and recruit specialists who are the most pertinent for each topic
• How to manage a project and develop relationships with experts and internal stakeholders
• About various sectors and companies globally and help develop strategies to increase the adoption of our products and services
• Leadership, networking, communication and negotiation skills to use throughout your career

Responsibilities

In this role your responsibilities will include, but not be limited to:

• Performing research on industries and businesses in Pan-Asia region, with a focus on the Japan market, in order to source and identify the most relevant individuals (C-level executives and practitioners working at the heart of their industries) to take part in moderated interviews

• Engaging these individuals to invite them to participate in our research, while assessing and ensuring that their insights are relevant and their fees are within budget
• Building a professional network and monitoring the relevant markets/companies in the assigned sector areas according to Forum content coverage strategies
• Working in tight deadlines and coordinating with internal and external stakeholders across different global offices

Requirements

• A real interest in financial markets and the alternative investments space
• Excellent communication skills and the ability to confidently interact with C-level industry experts on the phone
• Demonstrable skill in carrying out phone-based and desktop research with a logical and focused approach
• Self-motivated; a resourceful nature, with a diligent and proactive approach to their work
• The ability to work well within a team, in a fast-paced environment and under pressure. Positive and can-do attitude are essential
• The ability to manage multiple projects efficiently and effectively and reached assigned KPIs
• Obtained a score of >3.0 GPA if you’re a fresh graduate

NIQ GFK CMI’s Customer Success Team team is focused on delivering world class insights and reports to the clients and striving for very high level of Customer Satisfaction and advocacy.

Customer Success is NIQ GFK’s key department which is instrumental for the company’s success.

A successful candidate for this role will be someone who can establish strong relationships with both our clients and our colleagues. You will quickly become a trusted partner, working with many of our clients’ teams, including marketing, sales, category, and many more.

You will be expected to understand our clients’ needs and then create and present solutions that help achieve their strategic and tactical goals.  

If telling stories through data excites you but you’re uncertain whether you have the data knowledge: get in touch. We have an excellent training program, ensuring you understand all our products and how we create analyses.  

Responsibilities

• Be responsible for delivering analytics & insights services and conducting tactical client training for Guided Analytics & NIQ GFK CMI products and solutions such as Brand Health, segmentation, Usage & Attitudes, Customer Experience, Shopper and Qualitative research.
• Entrusted to deliver flawless research and analytics to our clients. 
• Be responsible for identifying opportunities through day-to-day engagements with our clients, handing off opportunities to Account Development to pursue 
• Have a strong working knowledge of the client business priorities and the role we can play in supporting these goals
• Be a confident and capable crafter of compelling insights, deliver clear and actionable recommendations to our clients helping them grow their business.

You are a high-performing individual thriving in ensuring high client centricity & customer satisfaction. You know how to take care of client requirements & develop long-lasting client relationships.  Awareness of the market landscape, our CMI products, and our processes is at the forefront of your mind. You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow.

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

Role:

The Field Application Engineer (FAE) will work closely with Business Development, Product, and Engineering to provide pre-and post-sales technical customer support. This position requires excellent customer communication and troubleshooting skills to conduct remote and on-site training and product presentations. This position is a technical position that will require additional skills such as system debugging, coding, scripting. Candidates are expected to work independently and acquire expert-level skills with the in-house built product line including HPC Hardware (IP, Chips, Boards), SDK, Algorithms (NN, DSP, Vision, Path Planning, etc.).

Responsibilities:

• Work with Business Development to sell the technology from quadric.io
• Work with customers to install SDK and algorithms and analyze customer systems to determine the best HW/SW solutions for their system.
• Analyze technological problems brought in by customers and communicate with engineering for the best solution..
• Work with business development to prepare technical proposals and statements of work, working with the customer to gather requirements.
• Set up regular technical discussions with customers to help them understand quadric deliverables and resolving customer issues with engineering support as well as conduct regular follow-up and monitoring.
• Deliver periodic training sessions
• Coordinate with the Sales and Engineering team in designing proper application systems and formulating the product specifications according to the customer's needs.
• Interface with product marketing and engineering
• Conduct project feasibility studies
• Some travel required

• Bachelor’s in computer science and/or Electronics Engineering field.
• Minimum 3+ years experience working with customers/business development supporting SDKs.
• Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision.
• Proficiency in Python.
• Experience describing, building, running and deploying Docker containers.
• Experience with Linux or Unix based operating systems.
• Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite.
• Experience quantizing, running and debugging neural networks with ONNX runtime a plus.
• Experience supporting parallel C / C++ languages a plus (CUDA, OpenVX, NEON, etc.)
• Solid understanding of intermediate git concepts such as branching, rebasing, merge conflict resolution, etc.
• Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades.

• Health Care Plan (Medical, Dental & Vision)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Training & Development
• Work From Home
• Stock Option Plan

Software Engineer, Machine learning (Customer Service Platform) - Mercari

• Employment Status:　Full-time
• Work Hours: Full Flextime (no core time) 

• Office: Roppongi

For more details, see the Overview of Our Positions section on our Careers site.
https://careers.mercari.com/en/recruitment-selection/#section3 

About Mercari

Circulate all forms of value to unleash the potential in all people

"What can I do to help society thrive with the finite resources we have?" The Mercari marketplace app was born in 2013 out of this thought by our founder Shintaro Yamada as he traveled the world. We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them. Mercari aims to use technology to connect people all over the world and create a world where anyone can unleash their potential. For more information about Mercari Group’s mission, see Mercari’s Culture Doc.
https://careers.mercari.com/en/culture/ 

Organization/Team Mission

Mercari Engineering Principles  

Mercari Engineering Principles are a shared understanding that serves as the foundation of engineering beliefs and behavior at Mercari. The Engineering Principles are designed to complement the organizational identity (Mercari’s mission, values, and culture) from an engineering viewpoint. 

These principles ultimately help us achieve Mercari’s mission by defining the ideal state we seek to realize in the long term. 

• Passion For The Product
• Grow Together
• Solve Through Mechanisms
• Collaborate Openly

For more details, please see the following link:

• Engineering Culture

In the CS ML team, as a team specializing in machine learning in the field of customer support, we aim to improve and personalize the experiences of customers and customer support operators by developing innovative machine learning models that predict and proactively resolve customer issues and complaints. 

Our mission is to revolutionize customer service and satisfaction by providing machine learning solutions that ensure unparalleled world-class customer experience and trust.

See here for more information about our mission and values.
https://careers.mercari.com/en/culture/ 

Work Responsibilities

• Machine learning engineers active in the customer support field collaborate with the customer support department to develop functions using machine learning for customer inquiries. They develop not only functions and services directly used by customers utilizing "Mercari" but also features for handling inquiries using internal tools by customer support. Mercari is actively applying advanced machine learning technology to provide a more convenient, safer, and more enjoyable marketplace. Machine learning engineers use the cloud and Kubernetes to operate and improve machine learning systems.

Unique Challenges

• By implementing machine learning techniques utilizing inquiry and operation logs, the inquiry system is enhanced and effortlessly improved to elevate the inquiry experience.
• Basic knowledge of statistics, practical experience in data analysis using Python, BigQuery, and BI tools.
• Lead cross-team projects, collaborating with stakeholders to impact departments and the entire company.
• Deploy scalable and efficient machine learning solutions by leveraging machine learning frameworks and libraries.
• Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.
• Develop and deploy machine learning functionalities using the latest text models (MLM and LLM) for practical use.

Qualifications

• Required Experience/Skills
• Experience in natural language processing (NLP), developing machine learning systems, and handling text data.
• Experience in developing and delivering end-to-end machine learning solutions, including BE development and MLOps in large-scale production systems, from experimentation to model deployment.
• Experience using machine learning libraries and frameworks such as HuggingFace, TensorFlow, and PyTorch.
• Deep understanding of the fundamentals of machine learning and software engineering.
• The ability to understand business needs and translate business problems into machine learning problem settings.
• Basic knowledge and skills related to monitoring systems, logging, and common operations.
• Communication skills to carry out projects in collaboration with multiple teams and stakeholders
• Preferred Experience/Skills
• Experience in developing machine learning systems utilizing large volumes of Japanese text data. 
• Functional development and bug fixing skills necessary to improve system performance and reliability.
• Using cloud platforms (AWS, GCP, Microsoft Azure, etc.)
• Experience in developing and operating microservices using Docker and Kubernetes.
• Experience in designing and developing architectures utilizing services on GCP such as VertexAI.
• Language 
• Japanese: Independent (CEFR - B2) [Preferred]
• English: Independent (CEFR - B2) [Required]

For details about CEFR, see here.
https://careers.mercari.com/en/language/  　

Learn More About Mercari Group

• Careers site: https://careers.mercari.com/en/   
• Mercan: https://mercan.mercari.com/en/  
• Social media: X / Linkedin 
• Improving Customer Support Productivity through Machine Learning
• The goal is to provide "Effortless CX" that allows customers to solve problems on their own. This is how the "Auto Reply" function was implemented.

Recruiting at Mercari

At Mercari Group, we value empathizing with and embodying the mission and values ​​of the Group and each company. To promote the creation of an organization that maximizes the total amount of value exhibited by all members, we would like to understand the experience and skills of each candidate as accurately as possible.

Recruiting cycle at Mercari Group

• Application screening
• Skill assessment: For engineering positions, you will be asked to complete a skill assessment on HackerRank or GitHub. For non-engineering positions, you may be asked to complete an assessment depending on the position. (The timing of the assessment may coincide with the interview process.)
• Interview: The number of interviews may vary depending on the position.
• Reference check: We will ask for online references around the timing of the final interview.
• Offer: Offers will be determined carefully in consideration of the final interview and the reference check.

　Learn more about our recruiting process here.

　https://careers.mercari.com/en/recruitment-selection/ 

Equal Opportunity Hiring

Here at Mercari, we work to realize a world in which no one’s potential is limited by their background and everyone has the opportunity to freely create value. We also firmly believe that a mindset of Inclusion & Diversity is essential for us to achieve our mission.

This, of course, extends to our hiring practices as well. Mercari is committed to eliminating discrimination based on age, gender, sexual orientation, race, religion, physical disability, and other such factors so that anyone who shares our mission and values can join us, regardless of their background. For more details, please read our I&D statement.
https://about.mercari.com/en/inclusion-diversity/ 

Please read and acknowledge our Privacy Policy prior to submitting your application.
https://careers.mercari.com/en/privacy/

Software Engineer, Machine learning (Customer Service Platform) - Mercari

• 雇用形態：　 正社員
• 働き方： フレックスタイム制（コアタイムなし・フレキシブルタイムなし）
• 勤務地： 六本木

詳細はキャリアサイトの募集要項よりご確認ください
https://careers.mercari.com/recruitment-selection/#section3　　

メルカリグループについて

あらゆる価値を循環させ、あらゆる人の可能性を広げる

「地球資源が限られているなか、より豊かな社会をつくるために何ができるか」。2013年、創業者の山田進太郎が世界一周の旅で抱いた課題意識から、フリマアプリ「メルカリ」は生まれました。私たちは、物理的なモノやお金に限らずあらゆる価値を循環させることで、誰もがやりたいことを実現し、人や社会に貢献するための選択肢を増やすことができると信じています。

テクノロジーの力で世界中の人々をつなぎ、あらゆる人の可能性が発揮される世界を実現していきます。メルカリグループの目指すべき方針については Mercari Culture Doc をご覧ください。

組織・チームのミッション

•  Mercari Engineering Principles
  Mercari Engineering Principles は、メルカリのエンジニアリング組織における信念や行動の基盤となる共通認識を明文化したもので、メルカリのメンバー全員が共有するMission、Value、Cultureをエンジニアリングの視点から補完するものとなります。これらのPrinciplesは、私たちが長期的に実現しようとする理想的な姿を定義することで、最終的にメルカリのミッションを達成するために活用していきます。

• Passion For The Product
• Grow Together
• Solve Through Mechanisms
• Collaborate Openly

詳細についてはエンジニアリングカルチャー  をご覧ください
https://engineering.mercari.com/culture/ 　

• CS MLチームでは、カスタマーサポート領域の機械学習専門のチームとして、お客さまの問題や苦情を予測し、積極的に解決する革新的な機械学習モデルを開発することで、お客さまとカスタマーサポートオペレーターの体験を向上させパーソナライズします。
• お客さまサービスと満足度に革命をもたらし、比類のない世界クラスのカスタマーエクスペリエンスと信頼を保証する機械学習のソリューションを提供することをミッションに掲げています。
• メルカリのミッション・バリューについての詳細はこちらをご覧ください
  https://careers.mercari.com/culture/ 

業務内容

• カスタマーサポート領域で活躍する機械学習エンジニアは、カスタマーサポート部門と連携し、お客さまからのお問い合わせに対して機械学習を用いた機能開発を行っています。 「メルカリ」を利用するお客さまが直接利用する機能やサービスだけでなく、カスタマーサポートが社内ツールを使って行うお問い合わせ対応の機能も開発しています。 メルカリは、より便利で安全で楽しいマーケットプレイスを提供するために、先進的な機械学習技術を積極的に活用しています。 機械学習エンジニアは、クラウドやKubernetesを活用して機械学習システムの運用・改善を行っています。

ユニークなチャレンジ

• お問い合わせおよびオペレーションログを活用した機械学習の技術を導入することで、お問い合わせのシステムを強化し、エフォートレスに改善することでお問い合わせ体験を向上させる。
• チーム横断的なプロジェクトをリードし、ステークホルダーと協力して、部門や会社全体にインパクトを与える。
• 機械学習フレームワークとライブラリを活用し、スケーラブルで効率的な機械学習ソリューションを展開する。
• システムのパフォーマンスを監視し、機能の有効性を評価するためのA/Bテストを実施する。
• 最新のテキストモデル(MLMやLLM)を使用して機械学習機能を開発し、実運用に投入する。

応募要件

• 求める経験・スキル
• 自然言語処理(NLP)の経験、機械学習システムの開発経験、テキストデータの取り扱い経験
• 統計に関する基礎的な知識、PythonやBigQuery、BIツールを用いたデータ分析の実務経験
• 大規模なプロダクションシステムにおけるBE開発やMLOpsを含む、実験からモデルのデプロイメントまで、エンドツーエンドの機械学習ソリューションの開発およびデリバリー経験
• HuggingFace、TensorFlow、PyTorchなどの機械学習ライブラリやフレームワークの使用経験
• 機械学習とソフトウェア工学の基礎を深く理解していること
• ビジネスのニーズを理解し、ビジネス上の問題を機械学習の問題設定に落とし込める
• 監視システム、ロギング、共通操作に関する基本的な知識とスキル
• 複数のチームやステークホルダーと協力してプロジェクトを遂行するコミュニケーションスキル
• 歓迎する経験・スキル
• 大量の日本語テキストデータを活用した機械学習システムの開発経験
• システムのパフォーマンスや信頼性を向上させるために必要な機能開発やバグ修正のスキル
• クラウドプラットフォームの利用（AWS、GCP、Microsoft Azureなど）
• DockerやKubernetesを用いたマイクロサービスの開発・運用経験
• VertexAIなどGCP上のサービスを活用したアーキテクチャの設計と開発経験
• 語学力
• 日本語：Independent (CEFR - B2) 歓迎
• 英語：Independent (CEFR - B2) 必須

※CEFRの詳細については、こちらをご覧ください
https://careers.mercari.com/language/#page-1

メルカリグループについて知る　

• キャリアサイト https://careers.mercari.com/  
• メルカン：https://mercan.mercari.com/ 
• SNS：X / Linkedin 
• 機械学習によるカスタマーサポートの生産性向上
• 目指すのはお客さまが自身で解決できる「Effortless CX」の提供。「Auto Reply（自動返信）」機能はこうして実装された

選考について

メルカリグループではメルカリグループおよび各カンパニーのミッションとバリューへの共感・体現を大切にしています。メンバーが発揮する価値の総量が最大化されるような組織づくりを推進するために、候補者のみなさんの経験やスキルをより正しく理解したいと考えています。

選考の流れ

• 書類選考
• 技術課題：エンジニアポジションではHackerRankまたはGithubでの技術課題を、エンジニア以外のポジションでは採用ポジションによります（面接タイミングと前後することがあります）
• 面接：ポジションにより、複数回の面接をお願いします
• リファレンス：オンライン回答形式のもので、最終選考の前後でお願いします
• オファー：最終選考とリファレンスの内容より決定されます

　※詳しくは  こちらのページをご覧ください
https://careers.mercari.com/recruitment-selection/#section2

選考における機会の平等  

メルカリでは、バックグラウンドによって個人の可能性が決めつけられることなく、自由に価値を生みだす機会を手にできる社会の実現を目指しています。そしてメルカリがミッションを実現するために「Inclusion & Diversity」という考え方は不可欠な存在だと考えています。

採用活動においても、メルカリのミッション・バリューに共感する、様々なバックグラウンドの方にジョインしていただけるよう、年齢、性別、性的指向、人種、宗教、身体能力、その他記号に基づくあらゆる差別をなくすことを約束します。

詳しくは、I&D statementをご覧ください。
https://about.mercari.com/inclusion-diversity/

なお、ご応募の際にはプライバシーポリシーをご確認ください。
https://careers.mercari.com/privacy/

NIQ GFK CMI’s Customer Success Team team is focused on delivering world class insights and reports to the clients and striving for very high level of Customer Satisfaction and advocacy.

Customer Success is NIQ GFK’s key department which is instrumental for the company’s success.

A successful candidate for this role will be someone who can establish strong relationships with both our clients and our colleagues. You will quickly become a trusted partner, working with many of our clients’ teams, including marketing, sales, category, and many more.

You will be expected to understand our clients’ needs and then create and present solutions that help achieve their strategic and tactical goals.  

If telling stories through data excites you but you’re uncertain whether you have the data knowledge: get in touch. We have an excellent training program, ensuring you understand all our products and how we create analyses.  

Responsibilities

• Be responsible for delivering analytics & insights services and conducting tactical client training for Guided Analytics & NIQ GFK CMI products and solutions such as Brand Health, segmentation, Usage & Attitudes, Customer Experience, Shopper and Quantitative/ Qualitative research.
• Entrusted to deliver flawless research and analytics to our clients. 
• Be responsible for identifying opportunities through day-to-day engagements with our clients, handing off opportunities to Account Development to pursue 
• Have a strong working knowledge of the client business priorities and the role we can play in supporting these goals
• Be a confident and capable crafter of compelling insights, deliver clear and actionable recommendations to our clients helping them grow their business.    

You are a high-performing individual thriving in ensuring high client centricity & customer satisfaction. You know how to take care of client requirements & develop long-lasting client relationships.  Awareness of the market landscape, our CMI products, and our processes is at the forefront of your mind. You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow.

NIQ GFK CMI’s Customer Success Team team is focused on delivering world class insights and reports to the clients and striving for very high level of Customer Satisfaction and advocacy.

Customer Success is NIQ GFK’s key department which is instrumental for the company’s success.

A successful candidate for this role will be someone who can establish strong relationships with both our clients and our colleagues. You will quickly become a trusted partner, working with many of our clients’ teams, including marketing, sales, category, and many more.

You will be expected to understand our clients’ needs and then create and present solutions that help achieve their strategic and tactical goals.  

If telling stories through data excites you but you’re uncertain whether you have the data knowledge: get in touch. We have an excellent training program, ensuring you understand all our products and how we create analyses.  

Responsibilities

• Be responsible for delivering analytics & insights services and conducting tactical client training for Guided Analytics & NIQ GFK CMI products and solutions such as Brand Health, segmentation, Usage & Attitudes, Customer Experience, Shopper and Qualitative research.
• Entrusted to deliver flawless research and analytics to our clients. 
• Be responsible for identifying opportunities through day-to-day engagements with our clients, handing off opportunities to Account Development to pursue 
• Have a strong working knowledge of the client business priorities and the role we can play in supporting these goals
• Be a confident and capable crafter of compelling insights, deliver clear and actionable recommendations to our clients helping them grow their business.    

You are a high-performing individual thriving in ensuring high client centricity & customer satisfaction. You know how to take care of client requirements & develop long-lasting client relationships.  Awareness of the market landscape, our CMI products, and our processes is at the forefront of your mind. You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow.

The Opportunity:

We, at Flywire, are looking for a bright, motivated, and hardworking Relationship Manager (RM) to work within an existing portfolio of Education Clients to build strong client relationships, drive revenue through marketing, training and integration of Flywire solutions. The RM reporting directly to the Director of Relationship Management JAPAC, will work closely with the in country Sales and RM teams, Consultants and Client Success Specialists to execute strategies designed to increase payer growth, uncover new business, increase revenue, provide accurate issue resolution and assure clients and their payers have the best payment experience and support in the industry.

• Drive Revenue by building long term relationships with senior and operational stakeholders, understanding their strategies and goals. 
• Create and maintain strategic account plans for each client and groups of clients to maximize utilization, growth and revenue. 
• Align Onboarding, Marketing, Training, Consultancy and support activities with client objectives to maximize growth and deliver additional revenue through up-sell and value-added services
• Partner with the Solutions team to ensure technical projects are delivering client outcomes
• Become a trusted adviser to your portfolio accounts, enabling an environment where best practices and innovative products will be adopted to drive both revenue and Client satisfaction
• Manage and support with commercial activities - Internal Reporting, Contract renewals, pricing negotiations and new product expansion. 
• Become the established internal expert which corresponds with your account portfolio and market, with relevant payment products and potential competitors to develop and refine products and operations. 

NIQ GFK CMI’s Customer Success Team team is focused on delivering world class insights and reports to the clients and striving for very high level of Customer Satisfaction and advocacy.

Customer Success is NIQ GFK’s key department which is instrumental for the company’s success.

A successful candidate for this role will be someone who can establish strong relationships with both our clients and our colleagues. You will quickly become a trusted partner, working with many of our clients’ teams, including marketing, sales, category, and many more.

You will be expected to understand our clients’ needs and then create and present solutions that help achieve their strategic and tactical goals.  

If telling stories through data excites you but you’re uncertain whether you have the data knowledge: get in touch. We have an excellent training program, ensuring you understand all our products and how we create analyses.  

Responsibilities

• Be responsible for delivering analytics & insights services and conducting tactical client training for Guided Analytics & NIQ GFK CMI products and solutions such as Brand Health, segmentation, Usage & Attitudes, Customer Experience, Shopper and Qualitative research.
• Entrusted to deliver flawless research and analytics to our clients. 
• Be responsible for identifying opportunities through day-to-day engagements with our clients, handing off opportunities to Account Development to pursue 
• Have a strong working knowledge of the client business priorities and the role we can play in supporting these goals
• Be a confident and capable crafter of compelling insights, deliver clear and actionable recommendations to our clients helping them grow their business.    

You are a high-performing individual thriving in ensuring high client centricity & customer satisfaction. You know how to take care of client requirements & develop long-lasting client relationships.  Awareness of the market landscape, our CMI products, and our processes is at the forefront of your mind. You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow.

Introduction

Circulate all forms of value to unleash the potential in all people

"What can I do to help society thrive with the finite resources we have?" The Mercari marketplace app was born in 2013 out of this thought by our founder Shintaro Yamada as he traveled the world. We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them. Mercari aims to use technology to connect people all over the world and create a world where anyone can unleash their potential.For more information about Mercari Group’s mission, see Mercari's Culture Doc.

Equal Opportunity Hiring

Here at Mercari, we work to realize a world in which no one’s potential is limited by their background and everyone has the opportunity to freely create value. We also firmly believe that a mindset of Inclusion & Diversity is essential for us to achieve our mission.This, of course, extends to our hiring practices as well. Mercari is committed to eliminating discrimination based on age, gender, sexual orientation, race, religion, physical disability, and other such factors so that anyone who shares our mission and values can join us, regardless of their background.

For more details, please read our I&D Statement.

Team’s Mission / Work Responsibilities

The AI / LLM Team’s mission is focused on two core pillars, "building" and "enabling" – delivering new AI-driven features and user experiences to maximize the impact of Mercari's business, as well as utilizing AI technologies to enhance productivity across the entire Mercari Group. We do this both through independent initiatives owned by our team, as well as by horizontally collaborating with product and engineering teams across the entire organization

(Learn more about Mercari's mission and values here.)

As a machine learning engineer, you will work on ML architecture and feature engineering that touches all parts of the business as well as internal tooling.

Specific work responsibilities include the following:

• Develop and Optimize ML Models: Design, build, and optimize machine learning models to solve complex problems and perform specific tasks. Focus on optimizing model performance and scalability to handle large-scale production systems.
• Feature Engineering: Conduct in-depth feature engineering to improve the robustness and accuracy of ML models, particularly in the context of natural language processing (NLP), computer vision, and multimodal learning.
• Model Deployment and Integration: Collaborate with cross-functional teams to integrate ML solutions into existing products and services, ensuring seamless deployment and operational efficiency.
• Research and Innovation: Keep up-to-date with the latest research and advancements in AI and machine learning, and related fields such as NLP and computer vision.
• Engineering Infrastructure: Design engineering infrastructure to support machine learning systems at scale.
• Experimentation and Testing: Conduct A/B testing, experiments, and evaluations to assess the performance and impact of ML models, using insights to inform further iterations and improvements.

Unique and Bold Challenges

• In this position, you will develop AI-driven solutions that leverage Mercari Group’s vast data assets, creating high-impact user experiences for tens of millions of users.
• Work at the intersection of cutting-edge research and practical application, translating state-of-the-art AI/LLM developments into tangible business solutions.
• Engage with diverse teams to build and refine large-scale ML infrastructure and systems.

Required Qualifications

• Shared belief in the mission and values of Mercari Group and its various companies.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow. Strong understanding of architectural patterns for large-scale software applications.
• Demonstrated experience in the end-to-end ML lifecycle, from development to deployment.
• Strong analytical skills with the ability to solve complex, unstructured problems.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Passion for the products and technologies.

Preferred Qualifications

• Experience with deploying AI solutions in large-scale production environments.
• Master’s or Ph.D. degree in Computer Science, AI, ML, or a related technical field.
• Background in generative AI, LLM, and natural language processing (NLP).
• Experience in multilingual and multimodal models, reinforcement learning, and efficient training and inference techniques.
• Participation in the open-source community and contributions to AI/ML projects.

Screening Criteria

• Has leadership ability, flexibility, and time management skills
• Proactively learns new technologies and puts them into practice
• Thinks about what’s best for the product and how they can provide the most value through technology
• Sees diverse changes as opportunities for constant improvement and development
• Is able to consistently come up with ideas for improvement and act upon them
• 　(See this page for details.)

Language Requirements

• Either of the following is required:
• English: Independent (CEFR - B2)
• Japanese: Independent (CEFR - B2)
  *Check here for more information about CEFR.

Working Conditions

Employment Status

Full-time

• Probationary period: First 3 months after joining the company. (During this period your contract conditions will be the same as that of a permanent employee.)

Office

Roppongi

• Smoking is prohibited within our offices
• Mercari has introduced a work style policy called “Your Choice.” Each member is free to choose whether they want to work in the office or work fully remote. *Exceptions made for certain kinds of work.

Work Hours

• Full flextime (no “core time” or “flex time”)
  *Does not apply to all positions

Holidays

• Two days off per week (as well as national holidays, New Year's break, etc.)
• Paid leave, congratulatory and bereavement leave, relax days, sick leave

Salary

• Annual salary paid in 12 monthly installments (including fixed overtime allowance)
• Based on skills, experience, and abilities
• Reviewed twice a year

Benefits

• Complete health and social insurance
• Incentive program
• Support systems, including those that benefit the employee’s family members
  *See this page for details.

Support

• Relocation support
• Language learning support
• Translation/interpretation support
  *See this page for details.

Media

Corporate Sites

• Mercari, Inc.
• Merpay, Inc. [Japanese]
• Souzoh, Inc.
• Mercoin, Inc.
• Mercari US

Owned Media

• Mercari Careers
• Mercari Engineering Portal
• Mercan - Introduces the people that make Mercari
• Mercari US Careers
• Mercari US Blog

About SmartNews

SmartNews is a global leader in redefining information and news discovery, committed to providing users with accurate, timely information and supporting quality journalism. We combine the power of our unique machine-learning technology with the expertise of our first-rate editorial team to bring news that matters to millions of users from our over 3,000 global publishing partners.

Founded in 2012 in Tokyo, Japan, SmartNews has offices in Tokyo, San Francisco, Palo Alto, New York, and Singapore.

The Team

We are currently hiring for our Content Understanding and Recommendation Algorithm Team.

Content Understanding Team

Content understanding team is to advance the capabilities of content analysis through innovative and cutting-edge technologies. We strive to transform how content is understood, categorized, and utilized across various platforms, ensuring accuracy, relevance, and quality. By leveraging advanced machine learning, NLP, and data analytics, we aim to support and enhance downstream applications such as search, recommendations, and ads. Our goal is to deliver meaningful insights and improve user engagement by providing precise and contextually aware content analysis solutions. Through continuous research, development, and collaboration, aiming to make a significant impact on the content ecosystem for SmartNews.

Recommendation Algorithm Team

The Recommendation Algorithm Team serves as the architect behind the cutting-edge algorithms and systems that power the SmartNews Product. Our scope encompasses a range of surfaces, most notably For You, Follow Recommendations, Search and so on..

At the core of the Recommendation Algorithm Team’s mission is the commitment to provide SmartNews users with an unparalleled experience in discovering quality information. Through our intricate algorithms, we curate and present content in a manner that resonates with personalization, fostering engagement and, in turn, bolstering critical business metrics including DAU, revenue, and user engagement.

Content Understanding & Recommendation Algorithm Team

Both teams thrive on the challenge of transforming vast data into actionable insights. We continuously refine and innovate upon our algorithms to ensure that the information presented is not only relevant but also delivered with precision, enriching the user journey and driving SmartNews' competitive edge.

In collaboration with cross-functional teams, we contribute to the seamless integration of our algorithms into various product facets, each designed to enhance user interactions and overall satisfaction. By blending data science, engineering prowess, and a passion for innovation, our team is committed to shaping SmartNews into a trusted and indispensable source of personalized content for millions of users worldwide.

The Role

In the Content Understanding role, you will leverage advanced content analysis and machine learning techniques to enhance the understanding and classification of diverse content types. Your mission is to drive innovation in content categorization, fake news detection, and bias analysis, ultimately supporting downstream applications such as personalized product recommendations. 

In the Recommendation Algorithm role, you will utilize the power of advanced machine learning techniques, these teams not only optimize content distribution and user engagement but also provide the essential foundation for continuous product innovation and overall business success.

Responsibilities

• Common Responsibilities Between Both Teams:
• Research and develop cutting-edge algorithms.
• Work end-to-end, from data and model to service.
• Manage expectations between product side and ML limitation.
• Develop ML pipeline to make engineers more productive.
• Content Understanding Team:
• Analyze and categorize content to extract key insights, themes, and trends, ensuring alignment with user needs and product goals.
• Generate actionable signals from content to enhance recommendation systems, driving personalized and relevant user experiences.
• Collaborate with product teams to integrate content insights into product features and strategies, contributing to continuous improvement and product success.
• Recommendation Algorithm Team:
• Innovate and implement machine learning algorithms, seamlessly integrating rule-based optimization strategies, resulting in tangible enhancements across product metrics for our diverse array of offerings such as ads, feed, and follow recommendations.
• Design, develop, and iterate recommendation and ranking algorithms on predictive models for candidate generation and ranking, including but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.

Minimum requirements

• 1+ years (0 for new grad) of experience in designing and implementing machine learning algorithms, and applying them to real world problems
• Solid Machine Learning background and deep understanding of certain domain of machine learning techniques, especially in recommendation systems, natural language processing, computer visions
• Strong software development skills with proven record of shipping changes to production that improved product metrics with machine learning technologies
• Able to have deep end-to-end understanding of sophisticated ranking systems and can proactively detect problems and make improvement suggestions
• Good written and spoken communication skills, can work across functional teams
• Expert coding abilities in multiple programming languages (e.g. Java, C++, Python, Scala)
• MS or BS in computer science, mathematics, physics or other quantitative fields
• Fluent in Japanese

Nice to have

• Native in Japanese
• Experience relevant to search, recommendation, and Ads technologies.
• Experience with cloud-based architecture, such as Amazon Web Services (AWS).
• Strong interest in news and ads content understanding, aligned with our mission.
• In-depth knowledge of Generative AI (GAI) and expertise in leveraging it effectively.

Working condition

• Office Location: Tokyo

Click here for more details

• Annual health check covered by the company
• Visa sponsorship and overseas relocation support available for eligible candidates

Click here for more details

Introduction

Circulate all forms of value to unleash the potential in all people

"What can I do to help society thrive with the finite resources we have?" The Mercari marketplace app was born in 2013 out of this thought by our founder Shintaro Yamada as he traveled the world. We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them. Mercari aims to use technology to connect people all over the world and create a world where anyone can unleash their potential.For more information about Mercari Group’s mission, see Mercari's Culture Doc.

Equal Opportunity Hiring

Here at Mercari, we work to realize a world in which no one’s potential is limited by their background and everyone has the opportunity to freely create value. We also firmly believe that a mindset of Inclusion & Diversity is essential for us to achieve our mission.

This, of course, extends to our hiring practices as well. Mercari is committed to eliminating discrimination based on age, gender, sexual orientation, race, religion, physical disability, and other such factors so that anyone who shares our mission and values can join us, regardless of their background. For more details, please read our I&D Statement.

Position Overview

Work Responsibilities

Work on ML architecture and feature engineering that optimizes our search metrics 

Target Teams: Search Ranking, Search Relevance 

• Optimize the search quality to provide the best search and shopping experience on Japan's largest C2C marketplace platform
• Research and implement appropriate ML algorithms, design and develop machine learning applications for Search at Mercari Marketplace
• Keep up-to-date with the latest research and advancements in the field of machine learning, and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, LLM, and so on
• Design engineering infrastructure to support machine learning systems at scale
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
• Have product sense in making connections between technical success with business success
• Conduct experiments, A/B testing, and evaluations to measure the performance and effectiveness of various ML models.
• Experiment with large-scale data sets to gain insights and identify opportunities for improvement

Unique and Bold Challenges

• Develop libraries and frameworks to improve the availability of machine learning/search systems
• Improve the existing machine learning/search infrastructure and leverage industry-leading best practices to help the AI/search team operate
• Disseminate the best practices of machine learning/search engine operation, improve the development process, and improve the skills of engineers
• Develop and improve monitoring and logging systems for the evaluation of machine learning models/search experiments
• Collaborate with other teams to develop large-scale infrastructure

Required Experience

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
• Deep understanding of information retrieval including search relevance, ranking and query understanding
• Understanding end-to-end machine learning development process starting from experimentation to deploying ML models in large scale production systems
• Strong analytical and problem-solving skills
• Have hands-on experience in the NLP realm such as tokenization, language modeling, indexing, text classification, etc.

Preferred Experience

• Experience implementing semantic search and/or learning to rank in production systems
• Experience working with Search / Recommender systems

Language Requirements

• English: Independent (CEFR - B2)
• Japanese: Basic (CEFR - A2) Preferred
  *For details about CEFR, see here

Related Articles

• Conversation between Machine Learning Engineers. Meet @ lain21 and @ chica #WeMakeMercari

Working Conditions

Employment Status

Full-time

• Probationary period: First 3 months after joining the company. (During this period your contract conditions will be the same as that of a permanent employee.)

Office

Roppongi

• Smoking is prohibited within our offices
• Mercari has introduced a work style policy called “Your Choice.” Each member is free to choose whether they want to work in the office or work fully remote. *Exceptions made for certain kinds of work.

Work Hours

• Full flextime (no “core time” or “flex time”)
  *Does not apply to all positions

Holidays

• Two days off per week (as well as national holidays, New Year's break, etc.)
• Paid leave, congratulatory and bereavement leave, relax days, sick leave

Salary

• Annual salary paid in 12 monthly installments (including fixed overtime allowance)
• Based on skills, experience, and abilities
• Reviewed twice a year
  

Benefits

• Complete health and social insurance
• Incentive program
• Support systems, including those that benefit the employee’s family members
  *See this page for details.

Support

• Relocation support
• Language learning support
• Translation/interpretation support
  *See this page for details.

Media

Corporate Sites

• Mercari, Inc.
• Merpay, Inc. [Japanese]
• Mercoin, Inc.
• Mercari US

Owned Media

• Mercari Careers
• Mercari Engineering Portal
• Mercan - Introduces the people that make Mercari
• Mercari US Careers
• Mercari US Blog
• Mercari AI

NIQ GFK CMI’s Customer Success Team team is focused on delivering world class insights and reports to the clients and striving for very high level of Customer Satisfaction and advocacy.

Customer Success is NIQ GFK’s key department which is instrumental for the company’s success.

A successful candidate for this role will be someone who can establish strong relationships with both our clients and our colleagues. You will quickly become a trusted partner, working with many of our clients’ teams, including marketing, sales, category, and many more.

You will be expected to understand our clients’ needs and then create and present solutions that help achieve their strategic and tactical goals.  

If telling stories through data excites you but you’re uncertain whether you have the data knowledge: get in touch. We have an excellent training program, ensuring you understand all our products and how we create analyses.  

Responsibilities

• Be responsible for delivering analytics & insights services and conducting tactical client training for Guided Analytics & NIQ GFK CMI products and solutions such as Brand Health, segmentation, Usage & Attitudes, Customer Experience, Shopper and Qualitative research.
• Entrusted to deliver flawless research and analytics to our clients. 
• Be responsible for identifying opportunities through day-to-day engagements with our clients, handing off opportunities to Account Development to pursue 
• Have a strong working knowledge of the client business priorities and the role we can play in supporting these goals
• Be a confident and capable crafter of compelling insights, deliver clear and actionable recommendations to our clients helping them grow their business.    

You are a high-performing individual thriving in ensuring high client centricity & customer satisfaction. You know how to take care of client requirements & develop long-lasting client relationships.  Awareness of the market landscape, our CMI products, and our processes is at the forefront of your mind. You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow.

The MIT must complete the training to be moved on into the Assistant Manager role. Successful completion of the program is the first step for leadership. The MIT program is a blended-learning, 90-day program focused on immersing a manager in all aspects involved in running a multi-million-dollar business. Training takes place in store locations. The program trains you on the necessary principles of management including creating the best In-store Customer Experience, Store Operations, Business Management, Floor Supervision and Talent Management. 

As an assistant manager you will be involved in the whole operation of running a store, such as staffing Hiring & Training, Analyzes &Track Business, Drive Business Success, Visual Marketing & Merchandising, Competitor & market analysis and human resource management. The company strongly advocates philosophy of growth from within. All of our District Managers, Regional Managers, Directors, even our Vice President of Stores have gone through the MIT Program. 

Manager In Trainingとは 

MIT（Manager in Training）が、アシスタントマネージャーに移行するためにはすべてのトレーニングを完了する必要があります。プログラムを無事に完了することは、リーダーシップの第一歩です。 MITプログラムは、数億円規模のビジネスの運営に関わるすべての項目において、マネージャーの理解度を深めることに焦点を当てた90日間のプログラムです。トレーニングは店舗で行われます。このプログラムでは、最高のショップ経験作り、店舗運営、ビジネス管理、セールスフロア監督、人材育成など、マネジメントに必要な原則についてトレーニングします。 

アシスタントマネージャーは、人材雇用とトレーニング、ビジネス分析/戦略、ビジュアルマーケティング、マーチャンダイジング、競合他社と市場の分析、人事管理など、店舗運営の全業務に携わるポジションです。私たちは社内での人材育成/昇進の価値を強く主張しています。社内のすべてのエリアマネージャー、ディレクター、さらには副社長でさえ、MITプログラムを修了しその後キャリア形成をしています。 

Why Us  

• Abercrombie & Fitch Co. Named to the 2021 Best Workplaces in Retail List by Fortune Magazine and Great Place to Work® 

• We provide you an access to various mental health resources: Associates Assistant Program, headspace, CARORRT and associate resource group…etc 

• A Global Team of People Who'll Celebrate you for Being YOU 

• Our culture is inclusive, warm and authentic 

• We value individual differences 

• We inspire, support and encourage you to be the best they can 

• We provide you an Always Forward journey 

• We believe Diversity and Inclusion are the keys to the company’s success 

• We put the customer at the center of everything we do 

私たちは、 

• アメリカのビジネス誌Fortune MagazineおよびGreat Place to Work®によって小売業界の2021年ベストワークプレイスに選ばれました 

• アソシエイトアシスタントプログラム、ヘッドスペース、CARORRT、アソシエイトリソースグループなど、さまざまなメンタルヘルスリソースへのアクセスを提供しています 

• あなたがあなたであることを歓迎するグローバルなチームです 

• 私たちの文化は偽りなく、温かく、インクルーシブです 

• 個人の違いを大切にします 

• あなたが最高の自分になるようにインスパイアし、サポートし、そして奨励します 

• あなたと共に常に前進します 

• ダイバーシティとインクルージョン（多様性）が会社の成功の鍵であると信じています 

• すべてにおいてお客様を中心に考えます