Ai Business Solutions Architect in Tokyo

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Tokyo, Japan About the Role Account Executives, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Role As a Research Scientist, you will work at the frontier of generative and agentic AI: advancing Large Language Models (LLMs) , Vision-Language Models (VLMs) , and AI agents that reason, plan, and use tools to solve real-world problems. Your research will span post-training (SFT, RLHF/RLVR), reasoning and test-time scaling, multimodal intelligence, and autonomous agentic systems. You will shape Appier's core AI capabilities, publish at top AI/ML conferences, and collaborate with scientists and engineers to turn frontier research into product impact. Responsibilities Research and build agentic AI systems : reasoning, planning, tool use, memory, and multi-agent collaboration, powered by LLMs and VLMs. Advance post-training techniques (SFT, RLHF, RL with verifiable rewards, preference optimization) to improve model capability, alignment, and reliability. Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute. Design rigorous evaluations and benchmarks for models and agents in real-world scenarios. Collaborate with cross-functional teams to ship research into production applications. Track frontier research, propose new directions, and publish key findings at leading AI/ML venues. About You Minimum Qualifications Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI/ML. Deep understanding of modern foundation models, with expertise in at least one of: LLMs, VLMs/multimoda

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. The Impact You’ll Make at Appier We’re looking for a Staff/Senior Machine Learning Platform Engineer to join our Machine Learning Platform Team, which powers end-to-end infrastructure for model training, evaluation, deployment, and monitoring at scale. Our platform supports daily execution of hundreds of ML models and processes billions of data records across batch and streaming pipelines. In this role, you’ll shape the architecture and core components of our ML platform—covering batch (Spark), streaming (Flink), job orchestration (Argo on Kubernetes), and infrastructure tools—while ensuring the platform remains robust, scalable, and developer-friendly. You’ll also champion best practices and modern development tools including LLM-based programming assistants. What You’ll Work On Architect, implement, and scale batch (Spark) and streaming (Flink) pipelines that process billions of records daily for ML training and evaluation. Design and operate robust ML job execution frameworks for training, inference, and post-processing. Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform). Design and monitor data infrastructure using ClickHouse and PostgreSQL. Ensure high availability and observability through monitoring tools like Prometheus and Grafana. Collaborate with data scientists, product managers, and engineers to deliver reliable and efficient ML platform capabilities. Actively adopt and promote the use of LLM-based tools (e.g.,

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier's Ad Cloud handles millions of bid requests per second, and that number keeps climbing. Behind every request is a chain of decisions: how much to bid, what to recommend, which creative to show, how fast the system responds. Each one is a lever on campaign performance, and at this scale a 1% improvement is enormous. Your job is to find those levers in the data. You will turn campaign, auction, and user-behavior data into insights about where the next performance gain is, prove it with rigorous A/B testing, and drive the change across the organization. This is not a back-office role. You will work hand-in-hand with ML scientists, engineers, product managers, and the operations team, and you are expected to set the agenda with data and push until the improvement shows up in live campaigns. AI now handles much of the mechanics: writing queries, drafting code, producing charts. What it does not do is decide which question is worth asking, notice that a number does not add up, or keep digging when the first explanation is too convenient. That is the job. We are looking for someone who is relentlessly curious about why , and who cannot leave an unexplained anomaly alone. What You Will Do Find where performance comes from. Mine campaign, bidding, and user data to identify the highest-leverage opportunities to improve online campaign performance, and turn them into testable hypotheses. Get to the root cause. When performance shifts or metrics contradict each other, dig until you understand the

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Open to overseas candidates/Visa Support This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll further improve bidding strategies, audience targeting and creative optimization by deep-diving RTB ecosystem including SSP/DSP/MMP to design the strategy, enhancing user signals or applying advanced deep learning model What You’ll Work On Deep-dive the RTB ecosystem to identify the potential direction and decide the bidding strategy Leverage advance deep learning model to improve bidding/audience model performance Co-work with teams to improve real-time/long-term user interaction signal collection and to further improve model performance What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field. 3+ years of industry experience on RTB ecosystem Proficiency in Python and SQL experience with modern ML frameworks and deep learning model (PyTorch, TensorFlow, etc.). Strong ownershi

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Staff Software Engineer , you will play a critical role in designing and building scalable and performant backend architecture, owning and driving the technical roadmap for sizable projects or services. You will also take responsibility for service operations – ensuring reliability, availability, and efficient deployment of large-scale distributed systems. Responsibilities Engage in the design of large-scale backend systems and distributed services Contribute to technical roadmap and planning Collaborate with cross-functional teams to deliver robust and high-performance systems Troubleshoot production issues and contribute to root cause analysis Ensure high reliability through best practices in service operation, monitoring, and deployment Participate in on-call rotations and lead incident response when required About You [Minimum qualifications] 8+ years of experience in software development Proficient in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Solid understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Strong sense of ownership and good problem-solving skills [Preferred qualifications] Experience in modern build systems Experience in operation automation tools Ex

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer , you will contribute to building scalable backend systems while also participating in service operation activities, including deployment, monitoring, and incident response, to ensure reliable and high-performing distributed services. Responsibilities Design, implement, and optimize backend services Participate in code reviews and contribute to system design discussions Collaborate with cross-functional teams to deliver robust and high-performance systems Troubleshoot production issues and contribute to root cause analysis Support system deployment, monitoring, and maintenance in production environments Participate in on-call rotations and lead incident response when required About You [Minimum qualifications] BS/MS degree in Computer Science or related fields 3+ years of experience in software development Experience in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Good interpersonal and problem-solving skills and strong sense of ownership [Preferred qualifications] Good understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Experience in modern build systems Experience in operation automation tools [Language] Fluent in English or Chinese. Open to

Job Requisition ID # 26WD101498 職務概要 オートデスクのコンサルティングチームでは、担当顧客に対して質の高いコンサルティングサービスを提供できる、豊富な経験と高い専門性を備えた意欲的な人材を募集しています。本ポジションは、Enterprise Customer Success部門のディレクターに直属します。 求められるのは、特定の業界・業種分野およびその主要テクノロジーに関する幅広い知識と、高い戦略的思考力を備えた方です。高度なファシリテーション能力と優れたビジネス感覚を活かし、業界動向や新興テクノロジー、顧客が目指すビジネス目標を踏まえながら、顧客の将来ビジョンの策定を支援します。 顧客企業の経営層やシニアリーダーと密接に連携し、デジタル戦略の策定、成功基準の定義、既存の業務プロセスやプロジェクトのパフォーマンス評価、各施策のビジネス価値を裏付ける根拠の構築を行います。さらに、具体的なビジネス成果を創出するソリューションの導入に向けた準備を推進します。 本ポジションの勤務地は東京都です。 業務内容 サプライチェーンの統合を含む、プロセス計画やオペレーション領域における戦略的変革およびイノベーション施策について、顧客に助言・提案を行う（例：デジタル化、Industry 4.0、企業不動産（CRE）マネジメント、ビルディング・インフォメーション・モデリング（BIM）、クラウドプラットフォーム、AI、機械学習（ML）など）。 顧客のビジョンや革新的な技術・業界トレンドを、測定可能なビジネス成果につなげる。 顧客企業の経営層やシニアビジネスリーダーと密接に連携し、ビジョンの明確化と優先順位付けを支援する。 ソリューションアーキテクト、他のコンサルタント、およびオートデスク社内の関係者と協働し、顧客のソリューション目標を達成するための選択肢や最適なアプローチを提案する。また、顧客向けソリューションの策定および提案活動を行う。 提案書、ビジネス評価・推奨事項、業務プロセス分析、ワークフロー関連文書など、質の高い成果物の作成、レビューおよび管理を支援する。 提案するソリューションに関して、プロジェクトのコスト見積もり、導入・提供手法、および作業分解構成（WBS）に基づくタスクについて助言する。 効率的な意思決定プロセスを促進し、課題や意見の相違の解決を支援する。 営業活動や提案プレゼンテーションに参加し、顧客企業内における追加の製品・サービスのビジネス機会を特定する。 自身の専門分野に関する価値ある知見を発掘・創出・発信することで、業界におけるソートリーダーとしての地位を確立する。 業務上の必要に応じて、勤務時間の最大50%程度を出張に充てる場合がある。 必須応募資格 日本語での優れた口頭・文書コミュニケーション能力、およびビジネスレベルの英語力。 機械工学、生産工学、またはプロセス工学分野の理学修士号（MSc）、もしくは同等の学位。 5年以上の業界経験。 業務プロセス上の要件に関連するオートデスク製品および／または競合製品についての深い知識と、それらを活用した業務プロセスに関する専門知識（例：AutoCAD Plant 3D & P&ID、Inventor、Factory Design Suite、Fusio

WHAT IS BOX? Boxについて Box(NYSE: BOX)はインテリジェントコンテンツ管理（ICM）プラットフォームのリーディングカンパニーです。Boxのプラットフォームは、企業のコラボレーション促進や、コンテンツのライフサイクル全体の管理、重要なコンテンツの保護、そしてエンタープライズAIによるビジネスワークフローの変革を実現することを目指しています。2005年に米国で設立され、JLL、モルガン・スタンレーなどを含む大手グローバル企業や、日本では約23,000社および日経225の86%の企業の業務効率化を支援しています。 Boxは、カリフォルニア州レッドウッドシティーに本社を置き、米国、ヨーロッパ、アジアに拠点を持っています。株式会社Box Japanは2013年に設立された日本法人です。 Boxでは、重要なコンテンツを扱うプラットフォームをさらに推進し、お客様の働き方に大きな変革を提供する、またとない機会があります。コンテンツは私達の業務の中心にあります。契約書、請求書、社員情報、財務情報、製品仕様、マーケティング資産などの部署間に跨る重要なビジネス・プロセスに含まれる数十億ものファイルや情報が日々流れています。私達のミッションは、コンテンツ管理にインテリジェンスをもたらし、お客様がデジタル・トランスフォーメーションを実現するお手伝いをさせていただくことです。このAIと膨大な業務コンテンツの融合による、大規模な働き方の変革期に、そのビジネスの最前線に貢献することが、Boxではできます。 WHY BOX NEEDS YOU K.K. Box JapanはBox Inc.の日本支社として2014年5月に設立され、急成長し続けています。私たちはさらにBoxを広め、ともに成長を促進していただくことができる人材を求めております。このポジションでは日本のセールスチームの一員として、責任を持ってセールス活動に専念していただくことができます。 WHAT YOU'LL DO Stakeholderのニーズを的確に理解し、Boxを効果的に提案する CIOやIT executive、LOB executive、また他の主要なstakeholderとも密に関わって信頼関係を築く 複雑かつロングタームなdealを、的確・迅速に対応するとともにsmall winsも確実に獲得する 90日以内にフォーカスするテリトリープランを構築する pipeline, revenue targetを構築する すべての顧客のユースケース、購買サイクル、Salesforceのforecast等を理解しトラックする Cloud Content Management、Enterprise 2.0、Box modelを広めていく すべてのユーザーに対して顧客満足度100%を達成する lead management、sales forecastingにおけるSFDCの活用 Box ではコミュニティと対面でのコラボレーションを重要視していてます。Box の社員（Boxers）は、少なくとも毎週3日間以上はオフィスで勤務することが求められます。選考プロセスの中で、リクルーターが働き方や企業文化についてさらに詳しくご説明します。 WHO YOU ARE 私たちは「AIファースト」の企業です。 すなわち、常に成長マインドセットを持ちながら仕事に取り組み、AIを活用し、より迅速かつ適切な意思決定を行い、インパクトを高める方法を見つけていくことが求められます。 3年以上のEnterprise Software関連製品の営業経験 顧客に対する営業経験/インサイドセールス経験 既存顧客と関係を保つだけではなく、新規顧客を積極的に開拓できる方 顧客のエグゼクティブ層と密接に関わりながら商談を進めてきた経験（LoB、CIOとのリレーションシップ） 複雑なcloud technologyをシンプルかつ的確に説明することができる能力 セールスのプロセスや購買サイクルを熟知していること Box Userであること（尚可） 英語力（尚可） 勤務地は、東京 （※週3出社） EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran st

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Partner Business Manager in Japan reporting to the Senior Director of Partners and Alliances in the Partners and Alliances department. This role is critical for driving pipeline revenue and expanding Zscaler's net new business through strategic partnerships. You will be instrumental in developing and executing partner business plans, sharing analytics, and optimizing partner performance to solidify Zscaler's market leadership. What you’ll do (Role Expectations) Generate Pipeline revenue by driving joint go-to-market (GTM) activity with Channel partner leadership, Channel partner sales executives, and our own internal sales organization. Partner closely with our key partners to develop Partner Business Plans and Teaming Plan to grow Zscaler net new business and profitable recurring revenue for our partners. Share analytics with executive and technical champions, and drive further deman

We are looking for a Recruiting Sourcer to play a key role in the continued growth and success of Datadog by finding exceptional talent. The Recruiting Sourcer will partner closely with Recruiters to develop creative and tailored strategies to engage passive candidates. You will be the first point of contact for new candidates in the hiring process, playing a critical role in identifying great candidates and telling the Datadog story. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Generate and maintain active and passive candidate pipeline for complex, hard-to-fill positions using various sources such as: LinkedIn Recruiter, Gem, Sourcing Campaigns, Google X Ray searching, previous event attendee lists, etc.. Amplify and champion job openings internally and work with our employee base to find hidden talent in their networks. Develop and implement strategic sourcing plans and track progress throughout the search to be shared with stakeholders Use your own research to get creative on where to find talent that otherwise might stay off the radar including diverse talent Map out the talent market, keeping a pulse of talent flow, market attrition, and which companies employ the talent we are after Specialize in event/project management, messaging analysis, creative prospecting, and stakeholder engagement Who You Are: An established Recruiter or Sourcer with 3+ years of experience working for a search firm or in-house recruiting team for high volume recruiting An individual with a high sense of urgency, strong communication skills and detail-oriented Tenacious and passionate about sourcing and engaging candidates Able to work independently and simultaneously on multiple roles An individual with a proven track record of engaging ta

You will have the opportunity to shape, mold, and impact how fast we grow, the way we’re viewed, and the candidate experience. We are looking to hire a Recruiter who will be responsible for finding the best talent; you will be the face of recruiting at Datadog! You will be the first point of contact for new candidates in the hiring process, playing a critical role in identifying great candidates, telling the Datadog story and ultimately turning great candidates into great employees. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Find qualified talent for our open roles via sourcing, job posts, referrals, and agencies Screen candidates to ensure their qualifications match the open roles Collaborate with leadership to design or streamline interview processes Ensure follow up and closure for all interviewed candidates Negotiate compensation with qualified candidates Enhance our recruitment process through training interview teams Leverage Greenhouse to track candidate progress through funnel, resurface existing talent, and keep consistently clean data for reporting Ensure candidates have an excellent interview experience - regardless of outcome Who You Are: Experienced in full-lifecycle recruiting, with 2-5 years either in-house or in a staffing agency environment A sourcing master in your ability to identify where top talent lives Autonomous with a demonstrated ability to work independently and simultaneously on multiple positions Exceptional at selling value proposition, negotiating and closing great candidates Skilled at operating with a sense of urgency in all stages of the recruiting cycle Able to successfully navigate an ever-changing process Datadog values people from all walks of life. We

【AI×デジタル広告で、新しい顧客と市場を開拓する】 Appierでは、AI広告ソリューションを通じてクライアントの事業成長を支援する営業メンバーを募集しています。 本ポジションの中心となるミッションは、新規顧客の開拓です。ターゲット企業へのアプローチから課題のヒアリング、提案、交渉、受注、その後のアカウント拡大まで、一連の営業プロセスを担当していただきます。デジタル広告業界での経験は必須ではありません。 これまでの営業経験を活かして新しい業界に挑戦したい方、新規顧客を自ら開拓して成果を上げてきた方、または広告代理店やデジタルマーケティング業界で培った知識や顧客接点を活かしたい方を歓迎します。 営業成果は、毎月支給される上限なしのインセンティブに反映されます。成果に応じて収入とキャリアの両方を伸ばしたい方に適したポジションです。 【会社概要】 Appierは、最先端のAI技術を活用し、企業のマーケティングや事業成長に関する課題を解決するAIネイティブのプライム上場企業です。世界17拠点で事業を展開し、これまでに1,800社以上の企業を支援しています。 「ソフトウェアをよりスマートに、AIでROIを向上させる」というビジョンのもと、広告、データ活用、パーソナライゼーションなどの領域でAIソリューションを提供しています。 ・東京証券取引所プライム市場上場 【安定性とイノベーション】 成長を続けるAI市場において、高い成長性と収益性を両立しています。上場企業としての安定した事業基盤を持ちながら、新しいAI技術やプロダクトへの投資を積極的に行っています。 【世界トップクラスのR&Dチーム】 研究開発チームには、AI、データ分析、分散処理システム、マーケティングなどの専門知識を持つメンバーが在籍しています。 Google、Intel、Yahooなどの出身者に加え、ハーバード大学やスタンフォード大学をはじめとする世界有数の研究機関で経験を積んだAI人材が活躍しています。 【AI研究者が率いる経営チーム】 弊社CEOは、米国でAI応用分野の研究により最優秀論文賞を受賞し、Googleの自動運転技術の開発にも携わった経験を持つAI研究者です。 【仕事内容】 Appierの広告ソリューションを提案する、新規開拓営業を中心としたポジションです。 具体的には、以下の業務を担当していただきます。 ・新規顧客および新規商談機会の開拓 ・ターゲット企業の選定、リサーチおよびアプローチ ・電話、メール、SNS、紹介、イベントなどを活用した商談機会の創出 ・クライアントの事業課題、マーケティング目標、広告運用状況のヒアリング ・クライアントの課題に合わせた広告ソリューションの企画および提案 ・提案書、見積書、契約条件の作成 ・意思決定者との交渉およびクロージング ・既存クライアントへの追加提案、アップセルおよび広告予算の拡大 ・営業パイプライン、案件進捗、売上見込みの管理 ・広告運用、プロダクト、ソリューションなどの社内チームとの連携 ・クライアントの事業、サービス、顧客層、競合環境、マーケティング戦略に関するリサーチ 【このポジションの魅力】 ・新規顧客の開拓から受注まで、一連の営業プロセスを担当できる ・営業成果が毎月のインセンティブに直接反映される ・インセンティブに上限がなく、成果に応じて収入を伸ばせる ・AI、デジタル広告、パフォーマンスマーケティングの専門性を身につけられる ・アプリ、ゲーム、EC、旅行、金融、エンターテインメントなど、成長市場のクライアントへ提案できる ・広告枠を販売するだけではなく、クライアントの事業成果を改善するソリューション営業を経験できる ・日本市場における事業拡大に直接貢献できる ・海外のプロダクトチームや営業チームと連携し、グローバルな環境で経験を積める ・営業経験を活かし、今後さらに成長が期待されるAI領域へキャリアを広げられる 【担当プロダクト】 ■ Appier CrossXソリューション AIを活用し、クライアントのユーザー獲得、エンゲージメント向上、売上拡大を支援する広告ソリューションです。 ■ AIBID RTBを活用したAI搭載型のDSPサービスです。 AIによる高精度なユーザー分析とターゲティングを通じて、アプリやサービスを継続的に利用する可能性の高いユーザーの獲得を支援します。 クライアントのCPA、CPI、ROAS、LTVなどの改善を目指し、広告効果の最大化に貢献します。 ■ AIXPERT アプリインストール広告をはじめとするデジタル広告キャンペーンの運用を、AIによって自動化・最適化するソリューションです。 複数の広告チャネルにおける入札、予算配分、オーディエンス選定、クリエイティブな

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive for Digital Native Business based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's fastest-moving technology companies. This is a greenfield, new business role: you'll build your territory from the ground up, owning the full sales cycle from first outbound touch to close across Japan's internet services, gaming, e-commerce, SaaS, fintech, and media companies. You'll work directly with founders, technical leaders, and product teams to help them build with Anthropic's AI as a core part of their products and operations. Key responsibilities Own and exceed revenue targets by winning net-new logos across Japan's digital native companies, including internet services, gaming, e-commerce, SaaS, fintech, and media Build a greenfield territory from scratch: develop your own account list, generate pipeline through self-sourced outbound prospecting, and create repeatable plays for landing new accounts Run fast, consultative sales cycles with founders, CTOs, CPOs, VPs of Engineering, and Heads of AI, positioning Claude as the foundation for AI-powered products and competitive differentiation Land new accounts quickly and set them up for expansion, working closely with technical buyers and developer teams who evaluate hands-on Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to win technical evaluations and accelerate time to production for customers building on our models Preferred qualifications 8+ years of sales experience in Japan with a clear track record as a hunter: consistently winning net-new logos and generating the majority of y

About the Team The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use. This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes. This role is based in our Tokyo Office. We use a hybrid work model of 3 days in the office per wee