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Ai Implementation Manager in Tokyo

382 active opportunities · Updated for October 2026

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Explore current ai implementation manager jobs in Tokyo. Use filters to narrow by work mode, employment type, experience and date posted.

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Vanta
📍 Tokyo• Full-time
6mo ago

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Solutions Engineer for New Markets, you’ll be leading the technical discussion with our key prospects & customers in Japan, guiding customers toward clarity, feasibility, and alignment on the end-to-end solution. You’ll be an integral part of the Sales team, working both pre and post-sales to ensure technical fit and create innovative solutions for our customers. You will also serve as a bridge between our product development team and our customers, utilizing your strong communication skills to deliver pointed and actionable feedback that our product teams might use to ensure Vanta gets 1% better every day. This role will be based in our Tokyo, Japan office with a hybrid working model. What you’ll do as a Solutions Engineer at Vanta: Partner with pre and post sales to identify, qualify and drive net new, expansion and renewal opportunities Develop a deep understanding of our product capabilities, integrations, configurations messaging, partner ecosystem, and competitive landscape. Build and maintain strong technical partnerships with our customers via engaging product demonstrations, trials, and other communications Develop a trusted advisor relationship with key accounts, customer stakeholders, and executive sponsors that may lead to renewals, expansion, and advocacy Influence Vanta’s strategy and product priorities to drive adoption and retention by being the voice of the customer Cultivate an environment of teamwork, openness, creativity, and continuous improvement Work cross-functionally to resolve customer business issues and work toward mutual goals Develop processes and workflows that allow us to build and scale

awsazurelinux
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Enterprise Agents Engineering Team at SpaceXSI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. BASIC QUALIFICATIONS: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB PREFERRED SKILLS AND EXPERIENCE: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerized applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response stre

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O
OpenAI
📍 Tokyo• Full-time• Remote
13mo ago

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel is expected in this role, mainly within Japan. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bri

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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. Principal Specialist Sales Engineer - Sec Ops Location: Tokyo, Japan (Hybrid) Department: Global Speciality Sales Employment Type: Full-Time About the Role We are looking for a Principal Specialist Sales Engineer to join our growing Japan Go-to-Market team, based out of our Tokyo office (Hybrid) . In this high-impact specialist role, you will report to the Sales Engineering leadership within the Security Operations team, acting as a domain expert for our Exposure Management portfolio. The Zscaler Sales and Go-to-Market team is a global group of professionals who are passionate about delighting our customers, nurturing trusted partnerships, and driving a secure, cloud-enabled digital transformation across Japan and the broader APJ region. You will partner closely with Enterprise Account Executives, Solution Architects, Customer Success, and our local channel partner ecosystem to demonstrate the value of Zscaler's cutting-edg

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D
Datadog
📍 Tokyo• Full-time
1mo ago

エンタープライズ企業向けのセールス・エンジニアとして、プレゼンテーション、製品デモンストレーション、および技術評価(POV)において技術的な専門知識を提供します。セールスエンジニアは、お客様やパートナーとの商談におけるソリューションのfeasibilityを判断し、商談を成功に導く役割を担うとともに、お客様、競合他社、パートナーからの意見に基づいて製品チームに機能の優先順位を提案する役割も果たします。 Datadogでは、人間関係やコラボレーション、そして創造性といったオフィスカルチャーを大切にしています。Datadogが自分に合ったワーク・ライフ・ハーモニーを実現できるよう、ハイブリッド・ワークプレイスとして運営しています。 業務内容: セールスチーム、テクニカルアカウントマネージャー、CSM、その他幅広いアカウントチームと協力し、Datadogの全体的な価値提案、ビジョン、戦略をお客様に説明する トライアルフェーズ中に顧客を技術的に支援する。Datadogの価値を伝え、特定された問題や懸念事項について顧客と協力して成功に導く 高度な業界知識、技術的スキル、およびお客様との信頼関係構築を通じて複雑な案件を技術的にクローズする 潜在的なお客様に対して製品および技術ブリーフィング/プレゼンテーションを提供する 製品のフィードバックや競合状況に関して、お客様およびDatadogのビジネス/技術チームと積極的に連携し、コミュニケーションを取る 募集要項: セールス・エンジニアリング(プリセールス)または関連する役割で3年以上の経験を持つ方 AWS、Azure、またはGCPのご経験がある方 DockerやKubernetesなどのコンテナ技術に関するご経験がある方 お客様にとってビジネス上重要な課題を特定し解決することに情熱を持ち、お客様と共に評価計画を構築し実行できる方 自発的に行動し、技術に精通したプロフェッショナルで、企業のビジネス要件を容易に理解し、Cレベルの役員、技術のエキスパート、そしてその間にいるすべての人に対して、Datadogの価値と技術的な詳細を説明できる方 文書及び口頭での優れたコミュニケーションスキルを持つ方。この役割には、当社の提供するビジネス上の価値と技術的な利点の両方を理解し、明確に伝える能力 次のいずれかのプログラミング/スクリプト言語での経験を持つ方:Java、Python、Ruby、Go、Node.JS、PHP、.NETなど Datadogは、さまざまな立場の人々を大切にしています。誰もが初日から上記の資格をすべて満たすわけではないことは理解しています。それでも構いません。テクノロジーに情熱を持ち、スキルを伸ばしたいと思っている方は、ぜひご応募ください。 福利厚生と成長機会: 最高のオンボーディング 継続的な専門能力開発、製品トレーニング、キャリアパスの提供 新入社員への株式付与(RSU / 譲渡制限付株式ユニット)および従業員株式購入制度(ESPP) 社内ネットワーク構築のためのメンターおよびバディ・プログラム インクルーシブな企業文化、コミュニティ・ギルドへの参加機会 幅広く手厚い医療関連の福利厚生制度 企業型確定拠出年金(401K) 上記の内容は、就業する国やDatadogでの雇用内容によって異なる場合があります。 #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Cen

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D
Datadog
📍 Tokyo• Full-time
3mo ago

私たちは、Datadogの社内プロダクト・エキスパートです。テクニカル・ソリューション・チームは、潜在的な顧客を教育し、既存の顧客を満足させ、成功させることで、Datadogの世界的な成長を可能にしています。 テクニカル・アカウント・マネージャー(TAM)はいわゆるポストセールスのポジションで、主にDatadogの包括的な製品や機能のサポート、導入、ガイダンス・ベストプラクティス等を提供することで、大規模な顧客に詳細な技術サービスを継続的に提供します。TAMは、ITオペレーションがどのようにビジネスバリューにつながるかについてのエキスパートであり、信頼できるアドバイザーとして高い評価を受けています。 Datadogでは、人間関係やコラボレーション、そして創造性といったオフィスカルチャーを大切にしています。Datadogが自分に合ったワーク・ライフ・ハーモニーを実現できるよう、ハイブリッド・ワークプレイスとして運営しています。 業務内容: プリセールス、ポストセールス、更新プロセスに沿った顧客への技術サポートと製品導入のアドバイス お客様のIT運用環境を定期的に分析し、Datadogの価値を最大化するための提案 お客様の目標やユースケースを把握し、プロセス変更、製品採用、設定、追加機能など、お客様の要件を満たすための提案 お客様のチャンピオンの指導とトレーニング お客様との月次・四半期ビジネスレビューへの参加と準備 Datadogの製品管理、エンジニアリング、技術サービスチームと連携し、新機能や製品の特定を支援 技術的な製品導入と顧客の成功のためのベストプラクティスの継続的な進化 募集要項: プリセールス/ポストセールス環境において、技術および価値に基づくプレゼンテーションやデモを実施した経験 セルフスターターで、技術に精通したプロフェッショナルであり、企業のビジネス要件を理解し、Datadogの価値や技術的詳細を役員レベルのエグゼクティブや顧客企業における技術のエキスパート、その間にいるすべての人に説明することが容易であるこ AWS、AzureまたはGCPのハンズオンの経験がある方 Python、Javascript、Ruby、Perl、Go、PHP、またはChef/Puppetなどのスクリプト言語 CI/CDツール(例:Jenkins、Gitlabなど) コンテナ化ツール(Docker、Kubernetes、Rancherなど) ボーナスポイント: 次のいずれかの経験をお持ちの方(Java、Python、Ruby、Go、Node.JS、PHP、または.NETのいずれかの開発経験) SaaS業界におけるカスタマーサポートまたは顧客対応経験 大規模なシステムの運用に係るSREの経験 Datadogは、さまざまな立場の人々を大切にしています。誰もが初日から上記の資格をすべて満たすわけではないことは理解しています。それでも構いません。テクノロジーに情熱を持ち、スキルを伸ばしたいと思っている方は、ぜひご応募ください。 福利厚生と成長機会: 最高のオンボーディング 継続的な専門能力開発、製品トレーニング、キャリアパスの提供 新入社員への株式付与(RSU / 譲渡制限付株式ユニット)および従業員株式購入制度(ESPP) 社内ネットワーク構築のためのメンターおよびバディ・プログラム インクルーシブな企業文化、コミュニティ・ギルドへの参加機会 幅広く手厚い医療関連の福利厚生制度 企業型確定拠出年金(401K) 上記の内容は、就業する国やDatadogでの雇用内容によって異なる場合があります。 #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses t

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D
Datadog
📍 Tokyo• Full-time
3mo ago

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value. 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: Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value. Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements Participate and prepare for Monthly and Quarterly Business Reviews with customers Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products Continuously evolve best practice to technical product adoption and customer success Who You Are: Someone with a solid technical grounding and hands-on experience of IT Operations Confident in your hands on experience AWS, Azure or GCP Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc. Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc. Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc. Able to sit up to 4 hours, traveling to and from client sites A

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