About Appier 

Appier is a software-as-a-service (SaaS) 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

We're looking for an experienced data engineer to build and scale our data infrastructure. You'll work on mission-critical systems that power our data-driven decision making, designing robust pipelines and optimizing distributed platforms that process massive datasets.

Responsibilities

• Design, develop, and maintain production data pipelines processing hundreds of terabytes of data daily across distributed systems
• Build, manage, and optimize large-scale data platforms including Spark clusters, Kafka clusters, and related big data infrastructure
• Develop and operate data warehouse systems and ETL pipelines for data collection, processing, storage, and analytics
• Profile and tune performance of critical components to optimize throughput, reduce latency, and improve resource efficiency
• Establish architectural foundations and engineering best practices for the platform
• Design frameworks and tooling to streamline software development, deployment, monitoring, and observability
• Provide technical expertise and guidance on big data system design, performance optimization, and scalability challenges

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related technical field
• 2+ years of hands-on experience building and operating large-scale distributed systems
• Proficiency in Java and/or Scala for production-level development
• Proven experience building ETL pipelines and data processing workflows using Apache Spark
• Experience managing and optimizing data lakes or data warehouses at scale
• Ability to work independently and adapt quickly in fast-paced, dynamic environments
• Self-motivated learner who takes ownership, manages multiple priorities effectively, and thrives in collaborative team settings
• Experience deploying and managing infrastructure on public cloud platforms (AWS, GCP, or Azure)

[Preferred qualifications]

• Proficiency in Python and/or Golang for building production systems
• Experience profiling and optimizing JVM performance for high-throughput applications
• Hands-on experience managing and operating data platforms such as Hadoop, Kafka, Flink, Hive, Trino, Presto, or ClickHouse
• Knowledge of modern open table formats including Apache Iceberg, Delta Lake, or Hudi 
• Active contributions to open source projects (please include your GitHub profile if applicable)

#LI-AK1

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 ownership and collaboration skills.

#LI-AK1

The Position

OPSWAT is now searching for Tier 1&2 Hybrid Technical Support Engineer to join our Customer Support team. The role focuses on diagnosing and resolving complex technical issues and escalated issues from tier 1 support and ensuring customer satisfaction through timely responses. We are looking for an energetic and motivated person who likes interacting with customers, tinkering with software, learning about new technologies, and “doing what it takes,” to contribute to OPSWAT’s quick growth.

We are interested in candidates based in Japan with Japanese as a primary language.

What You Will Be Doing

• Handle complex technical issues and escalated ones from Japanese partners/customers support via phone, case system, and chat.
• Provide advanced troubleshooting and support for OPSWAT solutions via log analysis, system diagnostics, network configurations.
• Conduct remote sessions with customers.
• Reproduce customer issues in lab environments and validate solutions and bug fixes.
• Evaluate the complexity of issues and escalate to tier 3 support.
• Collaborate with the global Tier 1, Tier2 and Tier 3 support team well.

• In collaboration with the existing TAM (technical account manager)in Japan, we provide support to our customers in Japan.

• Work closely with technically oriented customers (typical customers are engineers and IT personnel).
• Provide status updates to customers, adhering to SLA and commitments.
• Maintain clear and professional communication to ensure positive customer experience and CSAT.
• Contribute to the KBs creation and updates for customer’s self-service.
• Mentor all inquiries from Japanese customers/partners and contribute to support process improvement.
• Get involved in professional services delivery.
• Get involved in other side projects and operations per request.

What We Need From You

• Bachelor’s degree in computer science (CS), a technical discipline, or equivalent experience.
• Strong knowledge of Windows and Windows Server.
• A good foundation of basic networking concepts.
• Basic knowledge of Linux, with an interest in expanding the knowledge.
• Ability to think logically, analyze logs and troubleshoot computer software and IT related issues.
• Spoken and written English skills are required.
• Good communication and interpersonal skills.
• A proven customer-oriented attitude.
• Strong team collaboration abilities and organizational skills.
• At least 4 years of Experience in providing customer support of technical software products or a technical helpdesk environment or a related field.

If Would Be Nice If You Had

• Experience working with offshore teams.
• Familiarity with computer programing.
• Technical familiarity with Mac OS.
• Cybersecurity domain experience, including file security, device security, network security, etc.
• Network integration skillsets (e.g. Cisco, Dell-EMC, Juniper, Aruba, Ruckus, Meraki, Aerohive, Extreme, etc).
• Hands-on understanding of major DevOps tools: Docker, Kubernetes (GCP GKE), CI/CD tools, Terraform, Ansible, Monitoring & Logging Tools (Zipkin, Sentry, Prometheus, ELK stack).

• Experience in Cloud Based Services (Azure, AWS, GCP).

• Knowledge of Sandbox and anti-malware products.

• Experience working on Linux based infrastructure.
• Experience working with scripting languages such as bash script, PowerShell, and Python.
• Configuration and management of databases such as MySQL, Mongo.

Get to know our team: 

In Product, ideas come alive. The world is moving fast so our culture empowers ownership and minimal bureaucracy. That’s the environment that enables you to do what you think is right – and quickly. Our Product Managers move fast, fail, learn, and pivot.

Being a product-centric organization, our team works cross-functionally to build products from conception to launch by bringing together engineering and business worlds. Agoda Product Managers work closely with executive leadership and have high visibility among the C-suite; they have direct impact on Agoda’s growth and strategy. Product puts our travelers first and delivers that special travel experience in the most creative expression.

The opportunity:

This role is BANGKOK-BASED, RELOCATION PROVIDED. Principal Product Managers are analytical and data-driven individuals, who’re responsible for building products end-to-end focusing on analyzing and experimenting until our solutions are perfectly tailored to our travelers. As our next Product Leader, you will drive product strategy and partner closely with senior leadership cross-functionally to define, build, and deliver the best travel solutions.

You will get dedicated engineering resources that you, and only you define and allocate. We expect you to have a hands-on mentality and spend considerable time with your SCRUM teams, have enthusiasm to develop engineered processes and technologies and apply innovative solutions to make organizational improvements. You can modify *every* system we have in our company to suit their needs.

By applying to this role, you'll be considered for a role either in User Experience, Marketing, Finance or Supply product vertical. The goal is to match you with the team that best aligns with your interests, competencies, and where you will have the most impact. We’re looking for Product Leaders for every part of our business. Our entire Product team sits in Bangkok. 

In this role, you'll get to: 

• Analyze the online travel ecosystem, markets, competitive landscape and user requirements.
• Conceptualize, launch and optimize products and features, experiment, test their performance and iterate quickly.
• Work collaboratively with Engineering, Marketing, Legal and UX teams on cutting-edge technologies.
• Develop innovative solutions to some of the world’s difficult problems by collaborating as needed across regions, product areas, and functions.

 What you'll need to succeed:

• Bachelor’s degree in technical field (i.e. Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline).
• Proven ability to leverage analytics and quantitative methods to inform and influence decision-making
• Strong data skills 
• Excellent communication skills (both verbal and written in English) with proven ability to convey complex messages clearly and with conviction to different stakeholders
• Experience developing and launching products
• Experience leading global product vision, go-to-market strategy and design discussions.
• Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change
• Hands-on mentality

It's great if you have:

• MBA or Master’s degree in Math, Economics, Computer Science or Statistics
• Data tools - SQL, Python, R, or equivalent

#seattle #sanfrancisco #beijing #newyork #london #bangkok #singapore #chicago #hongkong 

【仕事内容】

▼職務内容
PlayStation™Networkは、月間アクティブユーザー1億アカウント以上を抱える世界有数の巨大ネットワークサービスです。私たちは現在、世界中のプレイヤーをつなぐコミュニケーション機能のさらなる進化と、マルチプラットフォーム展開（コンソール、PC、モバイル）に向けた新機能開発（ボイスチャット機能）を推進しています。
本プロジェクトは、既存の枠組みにとらわれず、新しいサーバーアーキテクチャの検討・構築を進めるフェーズにあります。PoC（概念実証）から製品化を見据えて一貫して取り組む、裁量の大きい環境です。
数億人規模のユーザー体験を支える大規模トラフィックと、低遅延・高信頼性が求められるリアルタイム通信領域において、世界水準の品質が求められます。
本ポジションにおいては、エンジニアとして技術的なTrial and Errorの側面からプロジェクトを支えていただくため、エンジニアとしてスペシャリストの指向性が高い方をお待ちしております。

▼組織/職場紹介
私たちはゲームというエンタテインメントを通じて、あらゆる年代や人種を超え世界中の人々に最高の遊び場を提供するために日々取り組んでいます。
私たちの組織には、組織自体も、提供しているプラットフォームもグローバルで大規模であるという特徴があります。本求人の組織では、主に米国のチームと協力しながらサービスの開発を行っており、提供しているプラットフォームは世界の数多くのユーザの巨大なトラフィックを日々処理しています。この環境で私たちは英語力や技術力などで様々なチャレンジをしています。この中には、海外チームとのミーティングや出張の機会もあります。
私たちが自社でサービス開発を行っているプラットフォーマーであることは、業務の幅の広さにも影響しています。一般のゲームプレイヤー向けの B2C だけではなく、ゲームを開発するパートナー企業をサポートするための B2B も提供しており、巨大なトラフィックを処理する Web API の開発だけではなく、業務向けの Web アプリケーションの開発も行っています。
組織としてより良いやり方や新しいやり方を模索することが推奨されており、チームによっては自分の役割を超えてフルスタックな取り組みを行うなど、様々な個性のチームがあります。チームの雰囲気は様々ですが 20 代、30 代の社員も多く、若い世代の方であっても意見が言えてフラットに議論ができる職場です。ゲーム好きな社員が多いため、自社の製品やゲームについて会話することも頻繁にあります。
TechLeadとして開発の最前線でご活躍いただきつつ、将来的なキャリアとしてはアーキテクトポジション、マネジメントやプロジェクト推進に進むことも可能です。

▼魅力
私たちの環境で得られるこれらのユニークな体験にご興味がある方は、ぜひご検討ください。PlayStation™Networkの成功をさらに加速させ、新たなビジネスを切り拓く熱意のある方をお待ちしています。
・ 裁量とスケール
・世界的なプラットフォームにおける、スタートアップのような裁量とスピード感を持って取り組めます。
・技術的な挑戦：「リアルタイム通信 × 大規模トラフィック」というバックエンドエンジニアとして高難度の技術課題に、RustやAWS等のモダンな技術で挑めます（JavaやC++等で活躍できるエリアもあります）。
・グローバルキャリア：USチームとの密な連携を通じ、日本にいながらグローバル水準の開発プロセスと英語力を磨くことができます。

▼使用している技術領域
現時点で必要な知識ではなく、ソフトウェア開発の本質的な思考力や構築力を期待します。
・Cloud Native (AWS やコンテナ、マイクロサービスを活用中、サービスメッシュは導入中)
・システム要件定義 / 設計
・Java や Python
・RDB や KVS
・REST API と Web 技術
・Kubernetes と Linux を用いたサーバ開発・運用
・Web サービスのテスト及びテストの自動化
・CI/CD ツールチェイン
・GitHub
・アジャイル (Scrum)
・DevOps

【応募資格】
◆必須（MUST）
・サーバーサイド/バックエンドの開発経験（言語不問：Java, Rust, C++など）
・Linuxの基本操作およびTCP/IPなどネットワーク技術に関する基礎知識
・コンピュータサイエンスの基礎知識
・ビジネスレベルの日本語力
・読み書きレベルの英語力（ドキュメント読解、チャットでの意思疎通）

◆歓迎（WANT）
・C++を用いた開発経験（サーバーサイド・組み込み問わず歓迎）
・Rust でのプログラミング経験、または強い興味・関心
・AWSなどのパブリッククラウドを用いたネットワークサービスの設計・構築経験
・WebRTCやWebTransportなどの低遅延・リアルタイム通信技術への知見、興味関心
・英語での口頭コミュニケーション能力（会議での議論など）

■語学力
・[日本語] 普段の業務では日本語を用います。ミーティングなどでの会話、既存の日本語ドキュメントの読解、チャットやビジネスツールなどでの読み書きのために、基本的な日本語のコミュニケーションスキルが必要です。
・[英語] グローバルに存在する各拠点のスタッフとの密な連携のため、英語によるコミュニケーション（口頭での会話、ドキュメント作成、チャット、メール、出張、プレゼンテーションなど）が必要となる機会が多くあります。自ら向上する意欲があれば現在の語学力は問いません。
 
【求める人物像】
・周囲とオープンなコミュニケーションが取れる方
・様々な技術に興味を持っている方
・グローバル/大規模なサービス開発に興味を持っている方
・開発したプロダクトに情熱が持てる方
・チームとしての成果・成長に喜びを見いだせる方

◻︎関連記事
https://whatweuse.dev/article/sonyinteractive

■組織・職場紹介
PS5、PS4をはじめ、歴代PlayStationのシステムソフトウェア開発を担う組織です。
本ポジションの配属先では、主にゲームのダウンロード、インストール、アップデート、起動に関わる一連の機能を担当します。
扱うのは、単なるアプリケーション開発ではなく、大容量コンテンツをいかに早く・確実に・互換性を保って届けるかという、PlayStationにおけるゲームプレイ体験の中核を支える領域です。数十GB〜100GB超のゲームコンテンツを、ネットワーク帯域、ストレージ容量、実行環境、過去資産との互換性といった複数の制約の中で最適に扱うための、幅広い視点での設計力と実装力が求められます。
東京拠点だけでなく、米国拠点の開発・運用チームや関連チームと連携しながら開発を進める、グローバルな職場です。また、ゲーム開発者や外部パートナーと協働しながら、ゲームタイトルとSDK、システムソフトウェアやインフラとの依存関係を踏まえた設計・改善にも取り組みます。
PlayStationのシステムソフトウェアは多数のモジュールで構成されており、関連モジュールの専門チームと密に連携しながら、課題の洗い出し、解決方針の検討、実装までを進めます。
1億以上の月間アクティブユーザのゲーム体験を支える基盤技術に携わり、将来世代も見据えた設計・開発に挑戦できる環境です。

■職務内容
・PlayStationシステムソフトウェアにおける、ゲーム配信・インストール・アップデートに関わるクライアントソフトウェアの設計・開発を担当します。
・ゲームタイトルとシステムソフトウェア、SDKの依存関係や、既存タイトル資産・将来タイトル双方の制約を踏まえ、長期的な互換性と運用を見据えた設計を行います。
・新規要件や機能追加に対して、ソリューション検討、基本設計、関連チームとの仕様調整・合意形成を担います。
・チームメンバーや協力会社メンバーと連携し、詳細設計、実装、単体・結合テスト、リリース後のサポートまで一貫して担当します。
・ご経験に応じて、チームリードまたはチームリード候補として、設計方針の推進やチーム横断での課題解決を担っていただくことを期待しています。

■ダウンロード・インストール機能について
・100GBを超えるゲームについても、可能な限り早くプレイ可能な状態に到達させるためのダウンロード・インストール機能を開発しています。
・言語や対象PlayStationの性能特性に応じてゲームバイナリを分割し、ユーザ操作やシステム状態に応じてダウンロード対象や順序を最適化することで、効率的な配信を実現しています。
・アップデート時には差分のみをダウンロードし、再利用可能なデータは既存インストール済みデータを活用することで、高速かつ効率的な更新を実現しています。
・あわせて、ゲームタイトルをコンソールのライフサイクル全体で、継続的に安定して動作させるため、ランタイム環境のアップデートや構成管理にも取り組みます。

■求める 実務経験・スキル

【必須要件（MUST）】
・C++によるソフトウェア開発経験、またはオペレーティングシステム／ミドルウェアなど低レイヤ領域の開発経験（5年以上）
・製品レベルのソフトウェア開発において、要件整理、設計、実装、テストまで一貫して携わった経験
・並行処理や非同期処理を含む設計・実装経験
・複数の関係者やチームと連携しながら技術課題を解決した経験

【歓迎要件（WANT）】
・ソフトウェア構成管理、コンテナ技術に関する知識・経験
・CI/CDパイプライン、プロダクトのビルドシステム構築、またはQA業務の経験
・Python、JavaScriptなどのスクリプト言語の知識
・デザインパターンを活用したソフトウェア設計経験
・SDK開発経験
・テストプログラム、テストフレームワーク、またはテストインフラの設計・開発・運用経験
・PlayStation固有の知識は入社時点では必須ではなく、必要に応じてキャッチアップしていただきます

【語学力】
・英語での口頭コミュニケーションおよび読み書きに抵抗がないこと
・日本語能力試験N1、またはそれと同等以上の日本語力
・いずれにおいても、流暢さそのものより、技術的な論点を整理して伝えようとする姿勢を重視します。

概要

最新のCG技術に精通し、グラフィックシステムの改善・合理化や、アーティストへの技術導入および技術的サポートを行います。

業務内容

• 新技術の導入に際しては、一流の画力を持ったアーティストに対して説得力のある結果を呈示する必要があり、アーティストとしての高い基本能力も求められます。
• グラフィックスシステムの検証と素材提供
• ワークフローの改善・合理化
• アーティストへの技術導入とサポート

必要な条件・経験

• デッサン等アーティストとしての基本能力
• 最近のグラフィックスハードウェアのパイプラインについての一通りの理解
• Maya 等のDCCツールへの深い知識
• MEL や Python などで簡単なツールを作成できる能力
• 新しい技術やデザイン的なトレンドに追従できるリサーチ力
• 物理・光学への高い関心と、概要を説明できる程度の理解

組織・チーム紹介

私たちは、PlayStation コンソールを通して、世界中のプレイヤーがつながり、共に楽しみ、感動を共有できるエンタテインメント体験を提供しています。本チームは、プロフィール、フレンド、メッセージ、パーティーなどのソーシャル機能を通じて、オンラインでのコミュニケーション体験を支える重要な役割を担っています。PlayStation コンソール上で動作するクライアントアプリケーションと、それを支えるサーバーアプリケーションの両方を自社で開発しており、全世界で 1 億 2,000 万人を超える月間アクティブユーザー（MAU）に向けたサービスを提供しています。
Webやクラウドといった汎用的な技術を活用しつつ、世界最大級のトラフィックを支えるスケーラブルなシステムを構築・運用するなど、他ではなかなか経験できない技術的チャレンジが待っています。また、海外チームとの協働も非常に活発で、英語を使ったミーティングや日常的なコミュニケーションを通じて、グローバルな環境で技術力と語学力の両面を磨くことができます。
キャリア志向に応じて、将来的にはリーダーとしてチームを率いることも、フルスタックエンジニアとして専門性を深めることも可能です。自社サービスの中でゼロから機能開発に携わり、世界中のプレイヤーに直接価値を届ける手応えを感じることができます。
チームは 20〜30 代を中心とした若い世代で構成されており、技術・コスト・効率・ユーザビリティ・UX など多面的な観点からフラットに議論ができる文化があります。
ゲームやネットワークサービスが好きで、製品への思い入れを持つメンバーが多く、海外拠点との連携を通じてグローバルな視点でサービスを進化させています。
PlayStation の未来を支え、世界中のプレイヤーに新しいつながりと体験を生み出すことに情熱を持てる方をお待ちしています。

職務内容

PlayStation のソーシャル機能（フレンド機能を中心）の設計・開発・運用を担当していただきます。PlayStation コンソール上のアプリケーションから、クラウド上のサーバーアプリケーションまで幅広く関わり、世界中のプレイヤーがつながる体験を支えるエンドツーエンドの開発に携わります。クライアント・サーバー双方のエンジニア、デザイナー、プロダクトマネージャーなどと協働しながら新機能を開発します。PlayStation という大規模プラットフォーム上で、1億人を超えるユーザーに利用される高信頼・高パフォーマンスなシステムを構築・改善します。また、職場環境としてはリモートワークを基本とした柔軟な働き方が可能です。一方で、社内ハッカソンやソーシャルイベントなど、対面でのコミュニケーションの場も活発に設けられており、チーム内外での情報共有や技術的な刺激を得やすい環境があります。

[具体的な職務例]

• PlayStation コンソールアプリケーションおよび関連 SDK の設計・開発（JavaScript / TypeScript, C++）
• ソーシャル機能を支えるサーバーアプリケーションおよび API の設計・実装（Java, JavaScript / TypeScript）
• クライアントとサーバー間の通信仕様設計、パフォーマンスチューニング
• 新機能のUX改善や機能拡張に向けたチーム内議論・プロトタイピング
• 海外拠点を含むグローバルチームとの協働による仕様検討・開発調整
• 継続的デリバリー、テスト自動化、モニタリングなどの運用改善

[使用技術・環境（例）]

• 言語：C++, C#, Java, Python, JavaScript / TypeScript
• インフラ：AWS / Kubernetes / Docker
• コラボレーション：GitHub Enterprise, Jira, Confluence, Slack

求められる実務経験・スキル・人物像

【必須（MUST）】

• チームでのソフトウェア開発経験（3年以上目安）
• JavaScript / TypeScript を用いたクライアントアプリケーション開発経験
• ネットワーク通信を伴うクライアントまたはサーバーアプリケーションの設計・実装経験
• 基本的な Linux 環境での開発経験・知識

【歓迎（WANT）】

• C++、Java など、いずれかの言語を用いたアプリケーション開発経験
• クライアント／サーバー双方の開発経験、またはフルスタック志向
• Web API の設計・開発経験
• クラウド環境（AWS など）での開発・運用経験
• SDK またはライブラリ開発経験
• チームリーディングや技術的な意思決定の経験
• 大規模ユーザー向けネットワークサービスの開発・運用経験

【求める人物像】

• チームでの協働を大切にし、オープンなコミュニケーションができる方
• クライアント－サーバーの垣根を超えた開発に取り組みたい方
• ユーザー体験やインタラクションデザインに関心を持ち、プロダクトの価値向上を意識して開発できる方
• 新しい技術や未経験の領域にも前向きに取り組める方
• 世界中のプレイヤーに価値を届けるサービス開発に情熱を持てる方

【語学力 / Language Skills】

英語：グローバルチームとの連携のため、チャット・メール・会議などの基本的なコミュニケーションスキル
※ただし、現時点の語学力よりも、向上への意欲を重視します

日本語：ビジネスレベルの日本語力（日本語能力試験N1またはそれと同等以上）

経験レベル
ジュニアからシニア

雇用形態
フルタイム (1日8時間)

上司
テクニカルディレクター

部署
PlayStation Studios Team ASOBI / テクノロジーチーム

勤務場所
東京エリア

About Team ASOBI
Team ASOBIは、東京に拠点を置くPlayStationのファーストパーティスタジオで、PS5向けの大ヒット作『ASTRO BOT』を手掛けたチームです。遊び心にあふれたスタジオで、情熱を持った優れた才能たちが、協力しながら素晴らしい作品を生み出しています。今後も世界中から新たな才能を迎え入れ、さらなる成長を目指しています。Team ASOBIの使命は、すべてのプレイヤーが楽しめる、高品質で革新的なゲーム体験をPlayStationで提供することです。   

▪️詳しい情報はPlayStation Blogをご覧ください！  https://blog.ja.playstation.com/2024/09/05/20240905-astrobot/ 

Role overview
チームが最大限の力を発揮できるよう快適な開発環境を構築し、維持することはタイトル開発プロセスにおいて非常に重要な要素となっています。開発機材の選定や保守、ビルド環境やデータ管理の改善など開発環境の構築を技術面からサポートしていただきます。  

Responsibility

• 開発機材の選定、管理、導入と更新の計画を行います
  
• オフィスと倉庫の機材を管理し、整頓された状態を保ちます 
• 社内ＩＴチームと連携し、サーバ構築やメンテナンスの計画を行います 
• 開発環境全体を把握し、メンバー加入時や更新時のセットアップをサポートします
• 開発機材やＩＴ周りのトラブルに対応します
• 開発イテレーション（コード変更・ビルド・テスト・リリースとデータ共有）における問題点を把握し改善を行います 

求める経験とスキル

• IT関連業務の経験（３年以上）
• Git, Perforce, Jenkins等ゲーム開発環境で利用されるソフトウェアの運用経験
• PCやモニタなどの開発機材やゲーミングデバイスに関するトレンドの把握
• Linux・Windowsサーバ, クラウドサービスの基本的な知識
• Python, PowerShell等での自動化のためのスクリプト開発経験
• 制作ツール開発の経験 (C++, C#, Maya Python)があれば尚可
• ゲームランタイムの実装経験があれば尚可
• チームからニーズを集めるための優れたコミュニケーションスキル
• 議論を効率的に進めるための積極的なコミュニケーション
• 仕事の質を自己評価する能力
• 英語の学習意欲のある方を歓迎（英会話レッスンを受講可能） 

About Team ASOBI
Team ASOBI is a first-party PlayStation Studio located in Tokyo, Japan, responsible for the critically acclaimed ASTRO BOT for PS5. The team is looking to expand by bringing worldwide talents with high skills, passion, and a playful, collaborative mind.  The Studio has a mission to create top quality, innovative games for players of all ages on PlayStation.
Want to learn more? Head over to the PlayStation Blog: PlayStation Blog .

Role overview
Creating and maintaining a well-functioning development environment that allows the team to reach their full potential is a crucial part of our game development process. You will provide technical support for the construction of our development environment, including the selection and maintenance of equipment, as well as the improvement of our build environment and data management process.

Responsibilities

• Select, manage, set up, and plan updates of development equipment.
  
• Manage office and warehouse equipment and maintain an organized state. 
• Work with the internal IT team on server builds and maintenance plans.
• Understand the entire development environment to give support when new members join the studio and when updates take place.
• Respond to problems related to development equipment and IT.
• Identify and improve issues regarding development iterations (code changes, builds, tests, releases, and data sharing) 

Required Skill and Experience 

• IT-related work experience (3 years or more) 
• Experience with software used in game development such as Git, Perforce, Jenkins, etc. 
• Understanding of trends in development equipment such as PCs, monitors, and gaming devices. 
• Basic knowledge of Linux/Windows servers and cloud services. 
• Experience developing scripts for automation in Python, PowerShell, etc. 
• Experience in production tools development (C++, C#, Maya Python) is a plus. 
• Experience implementing game runtimes is a plus. 
• Excellent communication skills to gather needs from the team. 
• Proactive communication to facilitate discussions effectively. 
• Ability to self-evaluate quality of work. 

Language proficiency

• Basic Japanese language skill is required alongside desire to improve (lessons will be provided and paid for). 

「Team ASOBI」
https://www.teamasobi.com/jp/ 

■ 業務内容
　・ゲームエンジンの動作テスト
　・ゲームエンジンや専用スクリプトを使ったサンプルの実装
　・開発環境やゲームエンジンの仕様に関するドキュメンテーション

Get to know Okta Okta is the World’s Identity Company. We enable everyone to safely use any technology—anywhere, on any device or app. The Okta Platform and Auth0 Platform enable secure and flexible access, authentication, and automation, transforming people's experience in the digital world and putting Identity at the heart of business security and growth.

At Okta, we welcome diverse perspectives and experiences. We aren't looking for someone who checks every single box. We are looking for lifelong learners and people who can make our team better with their unique experiences. Join our team! We are building a world where Identity belongs to you.

As a member of the Okta Japan SE team, the Senior Solutions Engineer for the Auth0 Platform will serve as a key technical and business advisor to customers and partners. Leveraging a passion for technology and deep expertise, you will plan, propose, and demonstrate how Auth0 solutions solve critical business challenges for stakeholders ranging from field practitioners to C-level executives throughout the sales cycle. Consequently, you will directly contribute to achieving quarterly and annual sales targets in Japan.

What you’ll be doing

• Collaborate with the sales team and related departments to act as an authority on technology and the Identity Security domain, ensuring customers fully understand the value and potential of the Auth0 Platform.
• Communicate the value of implementing Auth0 solutions to customers in various positions (practitioners, managers, C-level) and earn their trust.
• Serve as a primary technical resource, confidently responding to product functionality questions and detailed technical inquiries from customers, partners, and internal Auth0 teams.
• Drive knowledge sharing by contributing to and utilizing best practices and reusable assets, proactively elevating the expertise and efficiency of the entire SE team.
• Support customer Proof of Concepts (PoCs) to technically demonstrate that implementing Auth0’s identity solutions will deliver value to the customer.
• Participate as a presenter and demonstrator in online or offline events aimed at evangelizing Auth0.
• Lead less experienced sales representatives and SEs, contributing to constructive performance improvement of the entire team through appropriate feedback.

What you’ll bring to the role

• Experience in customer-facing roles as a Pre-sales SE or Technical Sales.
• Ability to build and maintain strong relationships of trust with customer technical staff and leaders throughout the sales process.
• Native-level Japanese proficiency with excellent communication and reading comprehension skills.
• Ability to ask questions and express opinions in English via email, Slack, or one-on-one conversations.
• Joy in spreading industry-leading solutions that benefit society.
• Enjoyment in collaborating with Okta’s expanding partner community in Japan and working with Pre-sales Engineers around the world.
• A desire to become a top-tier Solutions Engineer by refining pre-sales skills, not just product and authentication technology knowledge.

And extra credit if you have experience in any of the following!

• Pre-sales experience in an organization using sales methodologies such as SPIN, Solution Selling, or MEDDICC.
• Experience with Identity & Access Management (IAM), Single Sign-On (SSO), Security, or API-based solutions.
• Experience using at least one standard network security protocol (OAuth 2.0, OpenID Connect, SAML, LDAP, etc.).
• Knowledge/Experience with Cloud Platforms (AWS, GCP, Azure) and tools such as Kubernetes, Terraform, or Serverless environments.
• Hands-on development experience in one or more of the following areas: Web Development (JavaScript, HTML, Front-end frameworks), Mobile Development (iOS, Android), Backend Development (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
• Knowledge of modern technologies such as Generative AI, Intelligent Agents, and Conversational Bots.
• Understanding of core application security (Password Hashing, SSL/TLS, EAR, XSS, XSRF).
• Experience speaking at technical conferences/webinars or writing technical blogs.
• Experience working as a software developer.
• Experience communicating and working with overseas engineers in English.

What you can expect as an Okta employee

• Benefits
• Social Impact (Okta for Good)
• Okta's People, Connections, and Community

Okta builds a dynamic work environment by providing the best tools, technology, and benefits so that employees can work productively in an environment that suits their needs. Each organization has a unique way of working with flexibility and mobility so that every employee can be their most creative and successful self, regardless of where they live. Find your place at Okta today!

Okta is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider qualified applicants with criminal histories, consistent with applicable legal requirements.

#LI-Hybrid
#KH-1
P24422_3330489

We are hiring a Senior Software Engineer to lead the design and implementation of Anduril’s flagship hardware and software products in support of customer missions. You will:

• Lead and work with a diverse team of engineers around the world, with opportunities to grow a local team
• Work with multiple internal and external partners to ensure customers receive best-in-class products
• Build and integrate various external software and hardware products into Anduril products
• Derive and communicate requirements from multiple customers and partners, operating in complex and challenging environments

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics.
• High ownership and autonomy across the end-to-end lifecycle of software development. Strong technical acumen to deliver high-quality code in a disconnected environment.
• A deep, demonstrated understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node.
• At least 7+ years working with a variety of programming languages such as Go, Rust, C++, Java, Python, JavaScript/TypeScript, etc.
• Experience with customer-oriented UI/UX development.
• Experience building scalable backend software systems with various data storage and processing requirements.
• Experience with industry standard cloud platforms (ideally GCP, OCI), CI/CD tools, and software infrastructure fundamentals (networking, security, distributed systems).
• Experience leading small teams of cross functional engineers to design, build, and deploy software systems.
• Ability to quickly understand and navigate complex systems and established code bases.
• Able to work across multiple timezones, primarily JST and Pacific
• Authorization to work and reside in Japan
• Ability to obtain and hold a local government security clearance

We are looking for a person ready to take up the challenge of working in a high-profile project where we design and integrate multiple chiplets into a System-in-package, in collaboration with external stakeholders. You will work with Tenstorrent worldwide experts and leaders in the USA, Japan and other countries, and help us make our IP even better. This is a CPU tech-leadership role focused on driving power analysis and projections for the development of CPU chiplet with an emphasis on power analysis. The role involves defining CPUrail planning while collaborating closely with SoC and Board teams. Responsibilities include optimizing the system PDN for Block rails, and managing the power vector plan for comprehensive coverage of Chip level. The position requires driving power analysis on RTL and Netlist using tools like Joules and PrimePower, working with RTL design, synthesis, and physical design teams to measure and optimize power, and evaluating new power optimization techniques at various design stages. Additionally, the role involves tabulating metrics results for analysis comparison and workingwith post-silicon teams to correlate projections with silicon power measurements.

This role is hybrid, based out of Tokyo, Japan

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Extensive experience in power analysis and optimization for complex ASICs (typically 10+ years of ASIC or related design experience).
• Comfortable working across RTL, synthesis, and physical design stages, including low‑power implementation techniques and ECO‑based timing closure.
• Proficient with power analysis tools (e.g., Joules, PrimePower) and scripting (Tcl plus at least one of Python or similar).
• Strong analytical and problem‑solving skills, with clear written and verbal communication when collaborating across SoC, board, and post‑silicon teams.
• Nice to have: familiarity with UPF/CPF low‑power intent, Verilog/SystemVerilog, CPU micro‑architecture and its power challenges, and basic thermal analysis.

What We Need

• Own power analysis and projections for the CPU chiplet, with emphasis on defining and tracking power metrics throughout the design cycle.
• Define and maintain the power vector plan for comprehensive chiplet‑level and chip‑level coverage.
• Drive power analysis on RTL and netlist using tools such as Joules and PrimePower, partnering with RTL design, synthesis, and physical design teams to measure and optimize power.
• Evaluate and propose new power optimization techniques at RTL, synthesis, and physical design stages, and implement changes via timing ECO and flow updates.
• Tabulate and compare power metrics and reports across design iterations, and work with post‑silicon teams to correlate projections with silicon measurements.

What You Will Learn

• How to define and execute a power strategy for a 2nm CPU chiplet within a multi‑chiplet system‑in‑package, including rail planning and system‑level PDN optimization.
• Best practices for end‑to‑end power closure, from RTL through netlist and physical design, in collaboration with global RTL, SoC, and board teams.
• How to correlate pre‑silicon power models with real silicon behavior and feed lessons learned back into next‑generation CPU and SiP architectures.
• How Tenstorrent integrates CPU chiplets, AI accelerators, and board‑level power delivery into a cohesive high‑performance platform.

Job title

Senior DFT Engineer

Job description

We are looking for a person ready to take up the challenge of working in a high-profile project where we design and integrate multiple chiplets into a System-in-package, in collaboration with external stakeholders. You will work with Tenstorrent worldwide experts and leaders in the USA, Japan and other countries, and help us make our IP even better.

In this role, you will be responsible for DFT implementation using industry standard tools for high-speed CPU core design. 

Your responsibilities

Integrate and verify test features in digital designs for effective manufacturing testing and silicon debug. Key responsibilities include:

• Building entire chip-level DFT strategies
• Inserting DFTs, including scan chains, memory BIST, and JTAG
• Collaborating with RTL, physical design, and verification teams for testability throughout the design flow
• Scripting and automating DFT flows using industry-standard EDA tools (e.g., Cadence, Synopsys, Siemens)
• Running and analyzing ATPG and fault coverage reports
• Supporting silicon bring-up and debug related to test features
• Knowledge of advanced silicon technologies and methodologies for test coverage optimization
• Experience with formal verification and signoff of inserted DFT logic
• Strong communication and collaboration skills for cross-functional teamwork

Experience and qualifications

• Bachelor, Master or PhD degree in electrical, computer engineering or computer science.
• At least 10 years of relevant industry experience.
• Experience with DFT standard tools (e.g. Synopsys/Siemens), scripting languages (e.g., TCL, Python) is required.
• Experience with DFT planning, debug silicon by making SOC
• Willingness to work with others in a highly complex decision space.
• Skills at developing an DFT plan, monitoring key indicators and communicating resource needs, as well as scoping risk to deliver value on schedule.
• Excellent verbal and written communication in English, and collaboration skills.

Nice to have

• Fluency in Japanese.
• Japanese work visa.

We are looking for a senior physical design engineer to join Tenstorrent’s AIDC Yayoi project, driving chiplet-level and chip-top physical implementation of high-performance CPU-based SoCs in a cutting-edge system-in-package environment.

This role is hybrid, based out of Tokyo, Japan.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You have a Bachelor’s, Master’s, or PhD in electrical engineering, computer engineering, or computer science, with extensive experience (typically 10+ years) in SoC/ASIC/GPU/CPU physical design on taped-out designs.
• You are highly skilled with industry-standard tools (e.g., Synopsys/Cadence) and physical verification, and comfortable scripting in TCL and at least one other language (e.g., Python).
• You are a strong collaborator who can guide and mentor junior engineers, communicate clearly with global stakeholders, and navigate complex technical trade-offs to drive designs to closure.
• You are organized and data-driven, able to build implementation plans, monitor PPA and schedule metrics, communicate resource needs, and proactively identify and manage risks.

What We Need

• Lead chiplet and chip-top implementation for a high-profile, multi-chiplet System-in-Package project and place and route for high-speed CPU core designs in advanced nodes (5nm and below).
• Own chip-top floorplanning and integration: BUS and fabric planning, bump and IO placement, and hierarchical top/bottom floorplanning to achieve timing and PPA closure at chip level.
• Drive full physical verification and convergence, electrical rules, DRC/LVS, noise, and electromigration checks
• Take ownership of chip-level synthesis, BUS and bump planning, SoC floorplanning, and chip-top PV and EMIR, while providing technical leadership and mentoring to junior team members.

What You Will Learn

• Deep expertise in system-in-package design and multi-chiplet integration, working hands-on project with complex chip-top interfaces and constraints.
• Best practices for high-frequency, advanced-node (5nm and below) CPU design implementation, including cutting-edge timing closure, EMIR, and sign-off methodologies.
• How to operate in a highly collaborative global environment, partnering daily with Tenstorrent experts and leaders across Japan, the USA, and other regions, as well as external stakeholders.
• Advanced strategies for scaling physical design flows, improving reproducibility of convergence, and optimizing project PPA and schedule across multiple tapeouts.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

Tenstorrentについて

Tenstorrentは、最先端のAIテクノロジーで業界をリードし、パフォーマンス、ユーザビリティ、コスト効率を再定義しています。当社のチームは、高性能なRISC-V CPUを一から構築しており、AIに対する深い情熱と、世界最高のAIプラットフォームを構築するという目的で団結しています。私たちは、コラボレーション、好奇心、そして困難な技術的問題を解決するという強いコミットメントを大切にしています。

募集ポジションについて

機械学習分野で学び、成長したいという意欲を持つエンジニアを募集しています。本ポジションでは、経験豊富なエンジニアと共に働きながら、当社独自のハードウェアプラットフォーム上でのMLモデルの開発・最適化を実践的に学ぶことができます。機械学習分野での業務経験は必須ではありません。必要な知識は入社後に習得していただけます。

必須要件

• C++およびPythonにおける強固なプログラミング基礎
• 機械学習およびAIに対する高い関心
• 学習意欲があり、困難な技術課題に挑戦できること
• 英語でグローバルチームとコミュニケーションが取れること

歓迎要件

• コンピュータサイエンス、工学、数学、物理学、または関連するSTEM分野の学士号以上
• 機械学習に関する基礎的な知識や経験（大学での履修、個人プロジェクト、研究など）

働き方

• Hybridで在宅勤務も、オフィス出社も可能です。
• 勤務時間も柔軟に対応しています

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

The Position

OPSWAT is now searching for a Solution Engineer who will be a technical sales resource for our Japan regional sales team and assist in identifying customer challenges and driving technical alignment between customer needs and the OPSWAT solutions. Joining an existing team of experienced and successful sales managers and presales engineers to grow and evolve the OPSWAT business in Japan. You will serve as a product and industry expert, effectively describing and demonstrating our solutions, as well as promoting our vision and approach. You will be a trusted point of contact for our customers and partners while advancing the sales process.

We are interested in candidates based in Tokyo with Japanese as a primary language.

What You Will Be Doing

• Work with the OPSWAT sales team as well as partners to drive Enterprise business.
• Manage customer requirements, expectations, and solution buy-in.
• Build customer's confidence and awareness in our products/solutions.
• Manage, deliver, and present detailed responses to industry RFPs.
• Train and certify resellers and partners.
• Present at Conferences and Seminars.
• Understanding customer organization, their IT/Security requirements, and goals.
• Work with RMS to assist in the creation of account plans.
• Support proof of concepts, implementations and installations as needed to successfully satisfy customer requirements.

What We Need From You

• Bachelor's degree in a technical discipline, or equivalent experience
• Fluent in Japanese
• 5+ years of cybersecurity or networking software sales engineering or technical sales experience.
• Excellent track record in developing new business and meeting/exceeding sales targets.
• Strong presentation and application demo skills.
• A good foundation of networking concepts.
• A self-motivator who thrives on identifying and resolving customer pain points.
• Highly ethical and professional personal conduct.
• Experience installing and troubleshooting enterprise applications in Windows and Linux environments.
• Comfortable leading discussions within the cybersecurity domain to all customer levels (CISO to IT administrator).

It Would Be Nice If You Had

• Experience in enterprise software or networking solutions, ideally within the network or device security space including file security, device security, network security and etc.
• Knowledge of Sandbox and anti-malware products and markets.
• A technical understanding of APIs.
• Experience in Cloud Based Services (Azure, AWS and GCP).
• Experience working on Linux based infrastructure.
• Experience working with scripting languages such as bash script, powershell, and Python.
• Configuration and management of databases such as MySQL, Mongo.
• Experience working with OT security solutions or with OT environments.
• Any relevant security industry certifications.
• Network integration skillsets (Cisco, Dell-EMC, Juniper, Aruba, Ruckus, Meraki, Aerohive, Extreme, etc).

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.

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 travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experience working with cross functional teams Sales, Support, Engineering
• Experienced using Datadog and/or other cloud monitoring tools
• Thai language proficiency is a requirement as this role focuses on Thai speaking clients in the region

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

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 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

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:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Why Dialpad

Dialpad’s Agentic AI platform turns conversations into autonomous workflows that drive revenue, efficiency, and unforgettable customer experiences. Fortune 1000 companies trust our AI Voice & Digital Agents to resolve millions of interactions every day. We’re scaling fast and need Forward Deployed Engineers who want to be at the intersection of innovation and business impact.

Your Role

The primary purpose of our Forward Deployed Engineering team is to accelerate the adoption and realization of value from our AI platform by embedding within our most strategic customer accounts. You will be the crucial link that translates complex business challenges into production ready, high-impact Agentic AI systems, driving business outcomes. FDE’s will act as the company's most technically fluent business consultant and the customer's most trusted AI architects. 

What We Do

• Business Translation and Discovery: Rapidly embed with customer stakeholders and operational leaders to deeply understand their most complex, high-stakes business problems. Translate ambiguous business objectives into clear, shippable Agentic AI-powered solutions.

• The Go-To-Market Bridge: Partner directly with our Sales, Sales Engineers, Professional Services and Customer Success teams to serve as the deep technical authority during critical pre-sales evaluations and post-sales deployments. You don't just sell the vision, you build the capability that validates the investment.

• Product Alignment and Influence: Capture common customer pain points, successful integration patterns, and platform limitations discovered in the field. Synthesize and deliver this critical, high-value signal directly back to our core Product and Engineering teams to influence the product roadmap and accelerate feature development.

• AI Envisioning: Navigate complex enterprise infrastructure (cloud, on-prem, data pipelines) to integrate our platform. Guide customers on production grade Agentic bot builds and integration to custom data connectors, orchestration logic, and full-stack systems that bring AI to life.

• Agentic AI Design: Design and deploy complex multi-agent systems, architectures, and fine-tuned models tailored to the customer's unique data, domain, and security requirements. Author multi‑step prompts, retrieval pipelines, and decision logic that plug into CRMs, ERPs, and custom APIs via our MCP framework.

About You

• 4+ years of experience in a high-impact, customer-facing technical role such as Forward Deployed Engineering, Technical Consulting, high touch Sales Engineering or Solutions Architecture, or technical consulting for SaaS/AI products.

• Deep, demonstrable expertise in the modern AI/ML stack: LLMs, Generative AI concepts, vector databases, and agent orchestration frameworks. Proficiency in Python, Go, JS/TS plus hands‑on experience with LLM frameworks.

• Unrivaled Business Acumen: The ability to simplify technical complexity and communicate clear trade-offs, value propositions, and project plans to both a core engineering team and a non-technical C-suite executive.

• You thrive in ambiguity, take full ownership of outcomes, and are driven by delivering tangible, measurable results for the customer, often working under tight timelines.

• Contributor to a dynamic team culture, focused on high growth industry innovation, team collaboration, customer success, and having fun!

• Business-level fluency in Japanese and English required. 

Bonus Points

• Telephony stack knowledge (WebRTC, SIP, SBCs).

• Experience deploying chatbots or voice bots at >10K daily conversations.

• Contributions to open‑source AI agent frameworks.

How We Work

Our values mirror those of top forward‑deployed orgs: Customer First, Relentless Momentum, Extreme Ownership, and One Team. We ship, learn, and iterate - fast.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Responsibilities

We are looking for an experienced Staff Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

Workato has a positive, diverse, and collaborative culture—we look for people who are curious, inventive, smart, hardworking, and work to be a little better every day. Workato has also been recognized amongst the “Top 47 Enterprise Startups to Bet Your Career On in 2020”, the “Hottest 13 Productivity Software Startups to Watch in 2020!”, and the “Top 15 startups helping even non-programmers build simple apps, ahead of an expected software developer shortage” by Business Insider.

In this role, you will also be responsible to:

• Architect and design intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

• Design and deploy Agentic AI solutions using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

• Develop techniques enabling large language models (LLMs) to reliably author complex behaviors

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Technical solutions expert with an aptitude for technical advising, troubleshooting, and analysis. 

• Work closely with clients to understand requirements and provide technical guidance.

• Tailor Workato AI solutions to meet specific client needs, ensuring optimal functionality and scalability.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability

• With strong communication skills, you will be proficient in communicating technically complex ideas to a non-technical audience. 

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks.

• Ensure AI-driven automation is fault-tolerant, efficient, and aligned with enterprise IT best practices

• Create and deliver custom product demonstrations to support the sales and other internal teams.

• Improve internal processes, and promote knowledge sharing in the team, by contributing to Workato’s knowledge base

• Prioritize and deliver outstanding customer service experience to Workato customers

• Play a key role right from the product ideations stage to the implementation stage.

• Support the product manager in creating the technical and design specifications

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education - Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Total12+ years of relevant experience in the field of design, development and implementation.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations

• Knowledge of Implementing Integration projects is a must. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases.

• 5+ years of experience, working with Integration Platform such as TIBCO, Dell Boomi, MuleSoft etc is a plus. Experience with cloud technologies - iPaaS, SaaS applications, cloud infrastructure

• Strong working knowledge with APIs - RESTful, SOAP/XML. Sound knowledge of Data Structure - JSON. Sound knowledge of any RDBMS/NoSQL. 

• 2-3  years of coding experience (Java/Python/Ruby)

• Technical background or a good understanding of technology and industry trends, especially in the app integration space

• Experience working with cloud business apps like Workday / NetSuite / Salesforce / Servicenow / Marketo is a plus

• Working knowledge on Microservices or API-based integration architecture, Event driven architecture, Process Automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge

(REQ ID: 2747)

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.

How you'll make an impact

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
• Dataiku platform architecture and deployment
• Platform operations and upgrades
• Best practices for platform usage
• Security, data management, and compute resources
• ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Native or bilingual proficiency in Japanese
• Fluent English communication 
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out 

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

What does the hiring process look like? #LI-Hybrid #LI-AN1

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Final Interview with the VP Field Engineering

#LI-AH1

#LI-JR1

Location: Looking for Japanese citizens / visa holders, fluent in Japanese, willing to stay in Madrid for 12 months before having the view to relocate to Tokyo. Customer base will be in Japan, involving travel to meet clients in person.

The Team

As an Associate AI Applied Engineer, you are part of our Value Engineering team and are the trusted advisor for customers working on the intersection of technology and business. As a so-called Value Engineer (VE), you partner with sales and customers to create compelling and innovative technical solutions to critical business problems leveraging cutting edge (AI) capabilities within our Celonis Process Intelligence Platform. A great VE understands the customer, the technology, and the sales cycle making it what may be the most interesting, challenging, and fulfilling role in Enterprise Software

You will be joining the Global VE Center of Excellence which is an international, diverse, and dynamic organization at the core of the Celonis Value Engineering team supporting our local field teams. As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is one based on building trust, continuous development, and improvement through coaching & mentoring. 

The Role

Talented individuals launch their careers in the enterprise software world by joining the Orbit Graduate Program as an Associate Value Engineer.

The 12-month program is a unique experience to fast start your career in the SaaS Industry that highlights hands-on learning, mentorship, and a team culture where we rely on each other to learn, grow and achieve. The program is designed to develop essential VE skills & competencies and establish strong lasting relationships allowing you to grow your career at Celonis. 

Your journey will start with onboarding & enablement to develop your business and Celonis skills through a combination of hands-on experience in customer engagements and different pieces of training which cover amongst others the Celonis Process Intelligence, domain knowledge, presentation & demo skills, discovery & objection handling as well as value selling. 

The work you’ll do:

• Work as part of the Global VE CoE to support the Japan Value Engineering team on customer engagements
• Collaborate with customers to uncover their core business challenges and determine how Celonis Process Intelligence can help them achieve their business objectives and AI Strategy
• Execute proof projects showcasing the value of Celonis Process Intelligence, frame a quantitative business value and deliver presentations to senior executives to drive investment decisions
• Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning, LLM-based solutions and orchestration technology
• Drive change management and value realisation and ensure a positive return on investment
• Build strong relationships with our customers by winning their trust through technical, product expertise, and business acumen to act as a trusted advisor
• Collaborate and share customer insights & feedback with internal Product and Engineering teams to influence and co-develop (AI) product innovations
• Create re-usable collateral, best practices & tools within the Global VE Center of Excellence and feed them back to the regional Value Engineering team
• Travel to the Japan region to meet clients in person to ensure the success of customer engagements

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from mistakes. In particular, we seek “builders” who thrive in fast-paced environments and can rapidly develop solutions and pilots using our platform and AI technologies.

You have a bachelors and/or masters degree in (Industrial) Engineering, Computer Science, Data Science / Business Analytics, AI/ML, Mathematics or other related fields, as well as valuable work/internship experience. You’re curious, self-motivated, enjoy continuous learning, and you want to work in a lively environment characterized by high growth.

You are successful as a Value Engineer if you:

• Have a passion for technology, data and AI and the impact it can have on the world
• Have a hunger to learn new technologies and bring at least basic knowledge or hands-on experience in SQL and/or Python
• Any exposure to process mining principles and completion of Celonis "Rising Star" modules would be a welcome indicator of your eagerness to develop in this field
• Are able to think analytically and creatively, especially in applying technology solutions to core business problems
• Are focused on creating and adding value for customers
• Have an entrepreneurial mindset and the ability to multi-task, prioritize and execute
• Are able to build relationships with senior management and influence decision-makers
• Are confident to present to C-level executives and larger audiences
• Are willing to travel to the Japan region to meet clients in person
• Are an effective communicator and fluent in English and Japanese

This role requires a strong blend of technical expertise, customer-facing acumen, and solution-oriented problem solving. The Data AS Consultant will work closely with Sales & Account Managers to provide technical leadership and solution design for highly consultative enterprise projects. It is a revenue-generating pre-sales position focused on enabling technical adoption and driving customer success for both new and expansion opportunities.

This role reports directly to the Team Manager, DSI, with a dotted line to the Regional Head of Japan.

Responsibilities

Technical Consultation & Solution Design

• Serve as a trusted technical advisor to enterprise customers, translating business goals into scalable, production-grade technical architectures.
  
  
• Design and document data integration architectures leveraging Similarweb’s APIs, DaaS feeds, and platform products to meet enterprise data requirements.
  
  
• Architect end-to-end data delivery pipelines into client ecosystems (e.g., Snowflake, Databricks, S3, or Google Cloud Platform).
  
  
• Provide technical workshops and POCs, guiding clients on ingestion, normalization, and querying best practices.
  
  
• Develop Statements of Work (SOWs), technical proposals, and detailed integration documentation to accelerate collaboration between internal teams and customers.
  
  

Technical Skill Execution Examples

1. Integration & Data Delivery
   
   
• Role: Design and implement integration workflows delivering Similarweb’s data via API, S3, Snowflake, or GCP Storage, tailored to customer infrastructure.
  
  
• Technical Skills:
  
  
• Advanced SQL querying and performance tuning in Databricks / Snowflake
  
  
• Proficiency with data file formats (CSV, JSON, Parquet, Delta) and understanding the trade-offs between performance, compression, and schema evolution
  
  
• Strong knowledge of ETL design, data governance, and access control
  
  
• Outcome: Clients understand technical feasibility and best practices for incorporating Similarweb data into their analytical stack.
  
  
2. Data Quality, Coverage, and Scalability
   
   
• Role: Explain how data is collected, validated, deduplicated, and scaled across geographies and verticals, referencing internal reruns and benchmarks.
  
  
• Technical Skills: Understanding of data validation, sampling frameworks, distributed storage performance, and data versioning (e.g., Delta Lake advantages).
  
  
• Outcome: Clients gain trust in data quality and scalability across enterprise-grade analytics environments.
  
  
3. Data Sampling & Proof-of-Concept Delivery
   
   
• Role: Generate and deliver custom data samples aligned with client use cases, whether via API queries, Parquet exports, Delta tables, or CSV snapshots.
  
  
• Technical Skills:
  
  
• Hands-on data extraction and transformation using SQL and Python
  
  
• Preparing data in optimal formats (e.g., Parquet v Delta)
  
  
• Managing delivery through multiple mechanisms: secure S3 share, Snowflake Data Share, API endpoints, or CSV download portals.
  
  
• Outcome: Clients can validate data structure, schema, and use-case fit before full-scale adoption.
  
  
4. Use Case Customization & Advanced Analytics
   
   
• Role: Demonstrate how Similarweb data can be enriched with client datasets (POS, CRM, or loyalty).
  
  
• Technical Skills: SQL and Python for data joins, REST and GraphQL APIs, JSON schema design, and familiarity with Model Context Protocol (MCP) for LLM integrations.
  
  
• Outcome: The client sees practical, technically sound pathways to integrating Similarweb data into their own analytical models and AI workflows.
  
  

Collaboration with Sales & Customer Teams

• Partner with Enterprise Sales Managers to qualify and design technical solutions during the sales process.
  
  
• Work with Enterprise Account Managers to drive expansion and deepen platform adoption through technical enablement.
  
  
• Collaborate closely with Customer Success and Delivery teams to ensure smooth technical transitions from pre-sales to production.
  
  
• Create reusable demos, templates, and data delivery playbooks for use across GCR teams.
  
  
• Participate in strategic account planning and contribute feedback to product and data engineering based on customer needs.
  
  

Market & Product Expertise

• Stay up to date with AI/LLM data standards, data engineering best practices, and cloud-native architectures.
  
  
• Provide feedback to product and data engineering on API performance, schema design, and data format optimization.
  
  
• Maintain familiarity with Model Context Protocol (MCP), OpenAPI, and emerging standards for data interoperability and contextual AI integrations.
  
  

Project Support & Technical Governance

• Lead technical scoping and architecture reviews during the pre-sales phase.
  
  
• Oversee sample generation, performance validation, and schema testing.
  
  
• Provide escalation support on data performance, pipeline reliability, and delivery troubleshooting.
  
  
• Ensure solutions align with data security, privacy, and compliance best practices.
  
  

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
  
  
• 5+ years in pre-sales, solution architecture, or data consulting, with a strong focus on technical delivery.
• Technical Expertise:
  
  
• Data Architecture & Integration: Deep understanding of cloud ecosystems (AWS, Azure, GCP) and data warehousing frameworks (Snowflake, Databricks, Redshift).
  
  
• SQL & Data Modeling: Strong query and optimization skills for data analysis and transformation.
  
  
• APIs & Data Exchange: REST and GraphQL API fluency, JSON schema design, authentication (OAuth 2.0, JWT).
  
  
• File Formats: Deep understanding of CSV, JSON, Parquet, and Delta file formats—knowing when to use each for efficiency, scalability, or incremental updates.
  
  
• Data Sample Delivery: Ability to create, test, and deliver sample datasets across APIs, S3, and warehouse sharing mechanisms.
  
  
• MCP & AI Integrations: Awareness of Model Context Protocol, LLM context injection, and structured data retrieval patterns.
  
  
• Proven experience translating business requirements into technical solutions for large enterprise data ecosystems.
  
  
• Excellent communication and presentation skills—able to bridge the gap between technical and commercial teams.
  
  
• Fluent in Japanese and English (written and spoken) with experience serving enterprise clients.
• Strong problem-solving, self-management, and team collaboration skills.

ABOUT THE ROLE:

The Enterprise Agents Engineering Team at xAI 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 streaming, bi-directional streaming, REST mapping),
• Hands-on experience with LLM APIs, embeddings, or RAG patterns
• Track record of delivering user-facing software at scale.

Niantic/Scopely is seeking a talented and passionate Data Scientist to join our team in Tokyo. As a Data Scientist, you will play a crucial role in supporting the development and growth of our live games. You will be responsible for analyzing and interpreting large datasets to provide valuable insights and recommendations to enhance our game's performance and user experience. Statistical proficiency and business intelligence experience are crucial for effective communication and data-driven decision-making. Familiarity with Looker is a big plus.

Responsibilities:

• Analyze and interpret complex datasets to identify patterns, trends, and opportunities for improving gameplay, engagement, and monetization.
• Collaborate with cross-functional teams, including game designers, product managers, and engineers, to define and prioritize data-driven objectives and strategies.
• Create and deliver regular reports, dashboards, and visualizations to communicate insights and recommendations to stakeholders.
• Develop and maintain data models, algorithms, and statistical models to support predictive analytics and forecasting.
• Collaborate with the game engineering team to ensure data quality, integrity, and availability for analysis.
• Stay up-to-date with industry trends, best practices, and emerging technologies in data science and business intelligence.

Requirements:

• Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, or related disciplines).
• 5+ years of experience in a similar and data analytics focused role.
• Solid understanding of business intelligence concepts, methodologies, and tools. Familiarity with Looker or similar business intelligence platforms is a plus.
• Proven experience in data analysis, statistical modeling, and data visualization using tools such as Python, R, SQL, or similar.
• Ability to translate complex data findings into actionable insights and recommendations.
• Strong problem-solving skills and ability to work independently as well as collaboratively in a fast-paced, dynamic environment.
• Passion for gaming and familiarity with Niantic games is highly desirable.
• Business Proficiency in both Japanese and English is preferred.

Join our team and contribute to the success of Niantic games by leveraging your data science expertise to drive data-informed decision-making and enhance the player experience !!

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., GitHub Copilot, ChatGPT) to accelerate development, documentation, and debugging.
• Mentor junior engineers and help evolve team engineering culture and standards.

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
• 4+ years of hands-on experience in data systems, machine learning infrastructure, or platform engineering.
• Strong coding proficiency in Python and/or Java, with experience building large-scale production systems.
• Practical experience with Spark, Flink, Kubernetes (GKE), and infrastructure-as-code tools such as Terraform and Helm.
• Experience managing high-throughput data infrastructure using ClickHouse, PostgreSQL, or similar systems.
• Deep understanding of ML pipelines and distributed job execution in production environments.
• Proven ability to apply LLM-based tools (claude code, codex) to boost engineering productivity.
• Strong ownership, architectural thinking, and ability to lead cross-functional platform projects.

#LI-AK1

About the role

As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to customers as they adopt Claude. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting edge implementation patterns for LLMs.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. 

Responsibilities

• Serve as a technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success

• Partner with account executives to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation

• Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API

• Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API

• Lead hands-on technical workshops and code reviews with customer engineering teams

• Identify common design patterns and contribute insights back to our Product and Engineering teams 

• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks

• Travel occasionally to customer sites for workshops, implementation support, and building relationships

• Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space

You may be a good fit if you have

• 4+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers

• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale

• Strong programming skills with proficiency in Python and experience building production applications

• Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.

• Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems

• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity

• Passion for advancing safe, beneficial AI systems through creative technical applications

• Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach

• Fluent in Japanese and English

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work 

• Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native-level Japanese fluency and business-level English required

• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Comfortable with python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

The Basics:

At Tanium, our Enterprise Services Engineers (ESEs) fulfill a vital role in our organization by serving Tanium's customers as hands-on-keyboard experts for both remote and on-site engagements. You will operate in a highly team-based environment with Technical Support Engineers, fellow Engineers, Customer Success Managers, and Sales Account Managers. ESEs contribute to each customer's success by operating and maintaining the Tanium platform and its modules to achieve customer-specific Operations, Risk, Compliance, Asset, and Security-focused outcomes, either remotely or on on-site with the customer. You’ll have continuous opportunities and challenges which will require you to apply your best technical chops in large enterprise environments, all leveraging the power of Tanium. 

What You’ll Do:

• Work closely with our customers to;
  • Operationalize, administer and maintain the Tanium Platform to solve complex technical issues independently or with the help of teammates 
  • Identify opportunities for our customers to get greater value from the Tanium platform 
  • Consistently and cogently address our customers’ needs through astute verbal and written communication skills 
• Identify and rapidly assign tier 3 support cases to Technical Support Engineers
• Conduct daily health-checks on assigned accounts & Work with Technical Support Engineers on strategic customer activities
  • Contribute to and track activity, after action, root cause and daily status reports
  • Document best practices and Play Book entries
  • Work closely with CSMs on improving Tanium operational status within key accounts
  • Provide technical direction to customer IT support staff

We’re Looking For:

• Education
  • BA/BS or equivalent experience required
• Experience
  • 5+ years of experience in IT/Consulting
  • 5+ years of experience in Systems Administration/Engineering
  • Active TS/SCI Clearance or higher
  • Hands-on Tanium experience a major plus
  • Strong troubleshooting skills
  • Ability to articulate and communicate
  • Broad knowledge across several technical domains, coupled with deep knowledge in one or more of the following:
    • Endpoint Security
    • Endpoint Support/Troubleshooting
    • Incident Response/Vulnerability Management
    • Systems Management
    • Systems Administration
    • Software Engineering
    • Utility Scripting (e.g. Bash, PowerShell, VBScript, Python, etc.)
  • Demonstrated critical thinking skills
  • Ability to break a problem down into manageable, ordered piece parts
  • Ability to convey problem statement and plan of attack to others

About Tanium 

On a mission. Together. 

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.   

As a global organization with stakeholders around the world, it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things.  

Our commitment to excellence and innovation has earned us a place on the Forbes Cloud 100 list for ten consecutive years, and we continue to be recognized worldwide as a great place to work. 

Taking care of our team members 

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.   

For more information on how Tanium processes your personal data, please see our Privacy Policy

Shift Technology Japan offers a unique opportunity to brilliant candidates to accelerate their careers in data science

• Data scientists work on a broad range of subjects, acquiring a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions; skills invaluable in any career.
• Our company is small enough that each person’s achievements have an impact on overall performance, yet big enough to be a world leader in our domain.
• We are a fast growing company, the best contributors will grow to managerial or product tech lead positions much more rapidly than in bigger companies

役割

データ・サイエンス・チームの一員として、私達の技術エキスパートと協働し、顧客企業に種々のソリューションを提供する上で重要な役割を果たして頂きます。

日々の業務には次の事が含まれます：

- 顧客企業のためのデータ処理パイプラインの構築と導入。バッチもしくはリアルタイムのデータ受領、データクリーニング、情報抽出、不正検出モデルの調整などが含まれます。- 顧客企業と密に連携してニーズ、フィードバックを把握し、ソリューションを改善します。- 製品開発とイノベーションのための研究開発（機械学習、画像分析、NLP、トレンド分析、チャットボット…）- 営業チームと協働し、製品デモの実施（そして、海外への出張も含まれます！）- 若手データ・サイエンティストの育成

What you'll do...

• As a member of the data science team, and working alongside our technical experts, your role will be key to roll-out our different solutions to the clients. Your day-to-day will include :
• Deployment and Localization of Shift Technology products for the Japanese Market
• Design new fraud detection algorithms to detect new complex fraud patterns
• Enhancement of the Global Solution working with the Head Office
• Work closely with clients to understand the data and Business context of various Business lines in order to integrate to the Solution's Model

What you bring...

• You have a master’s degree in either Mathematics, Statistics, Computer Science (a knowledge in machine learning and/or Big Data is a plus)
• You have experience in object-oriented programming, preferred in C#, and SQL
• You can write quality production code
• You combine Data analysis with synthesis abilities and are not afraid to deal with the details
• You are Fluent in Business Japanese as well as business English 

In addition:

• You have experience with the following technologies: Python, Git, Cloud, Machine Learning
• You have experience with external client-facing and pre-sales/demo
• You have knowledge in Insurance industry 

Recruitment process:

• Talent Acquisition interview
• Technical exercise
• Technical interview
• Hiring manager interview
• Touchpoint with Tokyo-based stakeholders

Shift Technologyについて

Shift Technologyは Wired 社によりパリの最もホットなスタートアップ企業に選ばれ、先進的な人工知能技術とデータ・サイエンスを活用して、保険会社が保険金請求プロセスについて如何に思考するかを変革しています。パリのHQに始まり、ボストン、東京、シンガポール、ロンドン、マドリード、チューリッヒのオフィスで、顧客企業が不正の疑いのあるケースを検出し、対策を取るためのお手伝いをしています。私達はクレーム処理の自動化を通して業務効率および顧客体験の改善のためのサポートをしております。５年に満たない間に、およそ70ものグローバルな保険業界において重要な顧客企業のために数百万件ものクレームを分析してきました。Shift Technologyについてより詳しく知るために是非ご連絡ください。

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. Our EDP team builds core data backend capabilities that power critical product experiences across ingestion, profile processing, and serving.

About the role

We are hiring a Senior Software Engineer, Data Backend to design and operate production-grade data backend systems at scale. This role combines backend service engineering and data platform engineering, with strong focus on reliability, performance, and cost efficiency in a cloud-native environment.

You will work on high-throughput APIs/services in Go, as well as data processing and workflow components in Python/Spark/SQL, partnering closely with product, platform, and data teams.

What you will do

• Design, build, and maintain backend services and data platform components.

• Develop and optimize streaming and batch data workflows.

• Improve reliability and operability (monitoring, alerting, incident prevention/recovery).

• Improve data quality and consistency through schema/contracts and validation mechanisms.

• Diagnose and resolve production issues across service and data layers.

• Drive performance and cost optimization initiatives for large-scale workloads.

• Collaborate across teams to deliver roadmap milestones.

• Mentor engineers and contribute to engineering standards and review culture.

About you

[Minimum qualifications]

• 6+ years of software engineering experience in backend/data-intensive systems.

• Strong proficiency in Go (required).

• Strong proficiency in Python (required).

• Strong proficiency in SQL (required).

• Hands-on experience with distributed data systems (e.g., Kafka, Spark/Databricks).

• Experience operating services/pipelines in cloud production environments (GCP preferred).

• Solid understanding of reliability practices: observability, on-call, incident response.

• Strong communication and ownership; able to drive ambiguous projects to completion.

[Preferred qualifications]

• Experience with Databricks/Delta Lake/Lakehouse architectures.

• Experience with Kubernetes/GKE and Terraform/IaC.

• Experience with data governance (lineage, access control, PII handling).

• Experience with identity/profile systems (entity resolution, merge logic).

• Experience with FinOps/cost optimization for platform workloads.

• Scala/Java experience for Spark ecosystem optimization is a plus.

[Language]

Fluent in English.

Why join us

• Work on high-impact, business-critical data backend systems.

• Own real production outcomes across scale, quality, and cost.

• Collaborate with strong cross-functional teams in AI + data.

• Grow technical leadership while staying hands-on.

Open to overseas candidates/Visa Support
This position is open to based in Taipei, Taiwan or Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

#LI-AK1

About Tokyo

Applied Intuition entered the Japan market in 2019. The company has rapidly grown and established strategic relationships with major Japanese automotive OEM customers. Based in Otemachi area, the Tokyo site consists of more than 60 employees who previously come from Woven by Toyota, Mobileye, TIER IV, Google, Siemens and other renowned companies. We are hiring our first new graduate class - want to learn more?

About the role

At Applied Intuition, you will:

• Design, build, and improve the tools, libraries, and frameworks for our engineering team
• Build and test scalable tools for deploying to various automotive and cloud platforms
• Optimize our compile/build times using tools like Bazel, CMake, Docker
• Improve software deployment and data collection frameworks
• Identify and solve bottlenecks within our software stack

We're looking for someone who has:

• 5+ years of relevant experience
• Fluency in both English and Japanese (written and verbal), with the ability to operate effectively in a bilingual business environment
• Experience working directly with customers 
• Some experience using Python, Go, Java, or Kotlin
• Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
• Experience with Linux and/or ARM systems
• Experience working with configuration management tools like Ansible and Terraform

Nice to have:

• Experience using C and C++
• Experience working in automotive or related industries
• Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks:

• Lunch and dinner allowance
• Equity (RSU) offering
• English / Japanese language allowance
• Company sponsored housing program
• Pension plan (確定拠出年金)

The Role 

As a ML Engineer within the Application Engineering team, you’ll lead critical initiatives that push the frontier of model-based autonomous driving—both in terms of core driving performance and feature-level intelligence such as personalization, comfort, and collaboration.

You’ll design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You’ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.

What You’ll Be Working On

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization.
• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness.
• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development.
• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems.
• Collaborate cross-functionally across various teams to ensure integration and iteration velocity.
• Mentor senior engineers and shape the long-term technical direction across Autonomy.
  
  

About you  

Essential 

• Extensive and proven track record of shipping deep learning systems to production.
• Expert in deep learning (esp. sequential models, control, planning, or perception).
• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components.
• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.

Desirable 

• Prior work in autonomous driving, imitation learning, or trajectory prediction.
• Familiarity with personalization, human behavior modelling, or driver intent inference.
• Experience integrating ML systems into production hardware or multi-agent simulation.
  
  

This is a full-time role based in our office in Japan.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  

So, what’s the role all about? 

NiCE is looking for an experienced Portfolio Pre-Sales Consultant to excite potential customers about its extensive portfolio and aid them in ultimately becoming a NiCE customer. A successful Solution Consultant will work consultatively with prospects to identify their goals and business drivers and creatively design a solution that will meet the ever-growing demands of their contact center needs. This position will provide dedicated sales support to the Enterprise and SMB sales teams by exceeding expectations. 

How will you make an impact?   

• Proactively identifying and addressing our customer's technical needs and objections to drive new sales, and existing account expansion. 

• Actively learning and mastering the NiCE software portfolio at an intermediate level, to creatively apply our technology and help our customers achieve their business goals. 

• Critically evaluating the technical sustainability of each new sales opportunity or Request for Proposal, ensuring that our contractual obligations to each new customer are accurate, and can be delivered in a timely manner. 

• Helping facilitate a smooth transition from pre-sales to implementation by providing adequate knowledge transfer regarding the scope and requirements of the project, ensuring a seamless onboarding experience. 

• Protecting NiCE from projects where technical challenges outweigh the value of a technically problematic opportunity, and long term partnership. 

• Assisting our Sales team through preparation and delivery of business discussions, technical presentations, and product demonstrations, by carefully mapping customer business requirements to effective value driven technical solutions leveraging the NiCE software portfolio. 

• Proactively identifying customer needs through a technical benefits assessment, carefully building the business value of the solution, in order to assist with overcoming potential objections to proposed technical solutions. 

• Meeting with our prospective customers as a trusted technical advisor, developing a deep understanding of their current environment, key business challenges and goals, and helping prospective customers envision the benefits that can be realized through an advanced contact center deployment with NICE. 

• Gathering valuable field data and product feedback from each customer engagement and working directly with Product Management to facilitate ideas for the long term technical direction and development of NiCE’s software portfolio. 

• Providing an open and continuous knowledge transfer to the overall Sales Team and newly hired SEs, highlighting the technical aspects and benefits of our solution, and how to competitively position each product. 

• Delivering partner enablement activities, ranging from ad-hoc updates to extended knowledge transfer sessions. 

• Building and maintaining demo environments both for internal NiCE usage and for our partners. 

• Assisting in the preparation and response to customer RFP requests, carefully qualifying the prospective deal for technical feasibility. 

• Scoping and building proofs of concept for prospective customers that require a hands-on experience of NiCE products, to confirm the required performance of the solution within their environment. 

• Developing detailed solution design documentation for each new customer, which will serve as the foundation of our technical engagement, and act as a bridge to seamlessly engage our Professional Services Organization, to provide the most effective onboarding experience. 

• Continuously building and maintaining relationships with key stakeholders in each sales cycle, including executive, financial, technical decision makers and influencers within each of our prospects. 

Have you got what it takes?  

• Broad knowledge of call center technologies, automatic call distributors (ACD) and interactive voice response (IVR) systems. 

• Broad knowledge of workforce optimization and analytics practices and technologies. 

• Broad knowledge of digital self-service, messaging and social media platforms. 

• Basic knowledge of IP telephony, SIP trunk, WebRTC. 

• Basic knowledge of cloud security 

• Exceptional written and verbal Japanese communication skills 

• Intermediate written and verbal English communication skills (CEFR B2+ / IELTS 5.5+) 

• Excellent interpersonal skills with the ability to effectively listen to quickly assess the situation and then convey thoughts and ideas in a clear and concise manner. 

• Strong presentation skills – must possess the ability to sell and effectively build credibility in front of all levels of management, including an executive audience. 

• Analytical and quantitative abilities required – Must be able to interpret and explain financial and statistical information. 

You will have an advantage if you also have: 

• 7+ years of sales experience outside of sales engineering in a software environment 

• Ability to manage multiple competing priorities and work effectively under the pressure of time constraints in a fast-paced, collaborative environment. 

• Experience with programming or scripting languages such as Javascript or Python, and including use of REST APIs. 

• Detail-oriented, but able to digest the critical elements of a situation to withstand being hyper-focused on the minutia. 

• Experience with ROI and business case models and relating product capabilities to business benefits. 

• Ability to multi-task in a challenging environment while maintaining a high level of responsiveness. 

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! 

Enjoy NiCE-FLEX!  

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 5670
Reporting into: Director, Pre-Sales
Role Type: Individual Contributor

#LI-Hybrid  

FEQ127R214

As a Partner Solutions Architect you will work with Databricks' Consulting and System Integrator (C&SI) partners, teammates, and with the technical and sales team members who work directly with our customers. You will develop 'technical champions' within our top C&SI Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake; and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners. You will report to the Senior Director, APJ PS.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem
• Engage with the partner technical community by leading workshops, seminars, and meet-ups
• You will be a Big Data Analytics expert on aspects of architecture and design and will share this with our partner network
• Show expertise by producing creative technical solutions and blog post

What we look for:

• 5+ years of pre-sales or post-sales experience working with external clients or partners across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either data engineering or data science
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience developing architectures within a public cloud (AWS, Azure, or GCP)
• Coding experience in SQL, Python, Scala, or Java
• Expertise in at least one of the following:
• Data Engineering technologies (Ex: Apache Spark™, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Written and verbal level fluency in Japanese and English

Benefits

• Benefits allowance
• Equity awards
• Enhanced Parental Leaves
• Fitness reimbursement
• Annual career development fund
• Home office & work headphones reimbursement
• Business travel accident insurance
• Mental wellness resources
• Employee referral bonus

CSQ327R31

Databricksは、お客様がAIプラットフォームを活用して、世界で最も難しいなデータに関する課題を解決できるよう支援することをミッションとしています。デリバリーソリューションアーキテクト（DSA）は、この重要なミッションにおいて、セールスおよびフィールド・エンジニアリングチームと協力し、お客様のDatabricksプラットフォームの導入と利用拡大を加速させる重要な役割を担います。DSAとして、お客様がすでに導入を決定したDatabricksのワークロードについて、お客様がプラットフォームから最大限の価値と投資対効果を得られるよう、技術的な指導とサポートを提供し、お客様の成功を確実にします。特に、複雑な課題を抱えるお客様に対して、より重点的かつ技術的な責任を持って支援を行います。
このポジションは、技術とビジネスの両面を兼ね備えたハイブリッドな役割です。担当するお客様とユースケースにおいて、成長を推進します。ビジネス面では、お客様の意思決定者と関係を構築し、他の専門チームと連携しながら、Databricksが実行できる計画や戦略を策定・推進します。技術面ではDatabricksの全製品における、お客様導入後の技術的なリーダーとなります。組織内のあらゆるレベルの人々と、技術的な専門知識を活かしてコミュニケーションをとる能力が求められます。本ポジションは、日本のフィールド・エンジニアリング・ディレクター/Technical GM の直属となります。

あなたがもたらす影響 : 

• ソリューション・アーキテクトと連携し、重要顧客におけるユースケースの全体的な需要計画を把握します。
• Databricksの主要なユースケースにおいて、Technical Win後のアカウント戦略と実行計画を主導します。
• 複数の営業チームや社内関係者と連携し、特定のユースケースや顧客に対する技術的な責任者となります。お客様がDatabricksの導入を決定したワークロードについて、不確実性を取り除き、オンボーディング、有効化、成功、本稼働、そして健全な利用を推進します。
• お客様が合意したユースケースの本番稼働や運用に関する技術的な問題や質問に対し、最初の窓口として対応します。特に、大規模で複雑な組織においては、複数のユースケースを担当することが多くあります。
• 社内の専門家（共有サービス、ユーザー教育、オンボーディング／技術サービス、サポートなど）と連携し、自身の業務範囲や専門知識を超えるタスクを適切に割り振ります。必要に応じて、より専門的な技術エキスパートにもエスカレーションを行います。
• 主要なユースケースを本番環境へ迅速に移行させるための視点を構築し、プロフェッショナルサービスと連携して提案書の作成を進めます。
• Databricksの製品・エンジニアリングチームと連携し、新製品のイノベーション、プライベートプレビュー、アップグレードのニーズに対応します。
• 以下のワークストリームをカバーするため、顧客に接するすべての技術職およびチームの活動を網羅する実行計画を策定します。
• 本番環境へ移行する主要なユースケース
• 有効化／ユーザー成長計画
• 製品導入（Databricksのレイクハウス・ビジョンを導入するための戦略と活動）
• 現在の投資に対するオーガニックなニーズ（例：クラウドコスト管理、チューニング＆最適化）
• エグゼクティブおよび運用ガバナンス
• 利用状況や顧客の状態に関するKPIレポート（投資状況、重要なリスク、製品導入、ユースケースの進捗状況など）を、Technical GMに定期的に報告します。

必要な条件/経験:

• データおよびAI領域における技術的なプロジェクト/プログラムのデリバリーに責任を持ち、顧客との技術的な議論や設計の選択に貢献した8年以上の経験。
• Python、SQL、またはScalaでのプログラミング経験。
• 顧客と直接対面するプリセールス、技術アーキテクト、カスタマーサクセス、またはコンサルティングの経験。
• 分散データシステムに関連するソリューション・アーキテクチャの理解。
• 特定のプロジェクト成果物に対し、ビジネス価値と成果を結びつける方法の理解。
• アカウント、ステークホルダー、リソース管理の責任を含む技術的なプログラムまたはプロジェクト管理の経験。
• 顧客企業のシニア・エグゼクティブとの間で、複雑かつ重要なエスカレーションを解決した経験。
• 自由形式のディスカバリー・ワークショップの実施、戦略的ロードマップの作成、ビジネス分析、複雑なプログラム/プロジェクトのデリバリー管理の経験。
• 目標（Quota、Goalsなど）に対する達成実績。

Databricksについて

DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。

CSQ327R31

At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Intelligence platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on invesment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Director in Japan

The impact you will have:

• You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers.
• Lead the Post-Technical Win technical account strategy and execution plan for the majority of Databricks Use Cases within our most strategic accounts.
• Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks. 
• You will be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations. 
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise. 
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals.
• Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs. 
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM.

What we look for:

• 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our customers.
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• A understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets

マテリアルサイエンス　アプリケーション・サイエンティスト　（日本）

Schrödingerは、原子・分子レベルのシミュレーションソフトウェアのグローバルリーダーとして、製薬・バイオテクノロジーから先端材料科学まで、科学研究の最前線を支えています。米国シュレディンガー社の日本法人であるシュレディンガー株式会社では、マテリアルサイエンスチームのアプリケーションサイエンティストを募集しております。

アプリケーションサイエンティストの一員として、最先端の計算科学プラットフォームを活用しながら、日本を代表する研究機関や企業と深く関わることができます。研究者としてのバックグラウンドを活かしつつ、ビジネスの最前線で社会的インパクトのある仕事に挑戦したい方に最適なポジションです。

こんな方にぴったりの仕事です：

• 分子動力学（MD）、量子化学（QM）、または機械学習（ML）を用いた材料・高分子研究の経験をお持ちの方
• Python プログラミングに精通している方
• 顧客や研究者に対して、複雑な科学的概念をわかりやすく伝えるコミュニケーション力のある方
• 研究職にとどまらず、計算科学の社会実装や産業応用に関心をお持ちの方
• 自律的に業務を進め、チームワークも大切にできる方
• 日本全国のお客様先への出張を楽しめる、フットワークの軽い方

具体的なお仕事内容：

• 既存・新規のお客様への科学技術サポート（ソフトウェアスイートの最適な使用方法のデモンストレーション、お客様と製品開発チーム間の連携促進、総合的な科学技術指導）
• お客様の科学ワークフロー、管理、モデリング環境の適応に関するトラブルシューティング
• 顧客の課題に対する科学的アドバイスおよびモデリングワークフローの支援
• 製品開発チームと顧客の橋渡し役として、フィードバックの収集・共有
• アカウントマネージャーやマーケティングチームと連携した営業戦略の実行支援
• 学術論文の執筆・発表、学会・会議・展示会でのプレゼンテーション
• 受託分析・研究サービスの実施またはサポート

必要なスキル・経験：

• 材料科学・高分子・計算化学・物理化学またはその関連分野における修士号あるいは博士号
• MD、QM、MLのいずれかの分野における研究経験（専門性の深さよりも、学習意欲と応用力を重視します）
• Pythonプログラミング経験
• お客様・社員とのメール・電話・対面コミュニケーション、資料・スライド作成、レポート作成、学会発表を日本語ネイティブレベルで行える方
• 業務上のメール・レポート・ウェブ会議に対応できる英語力
• 出張対応が可能な方

給与・福利厚生：

 シュレディンガーは、優秀な人材こそが会社を作ると考えています。そのため、競争力のある給与、賞与制度、福利厚生をご用意しています。これには退職金制度、3週間以上の有給休暇、フレックスタイム制度、豊富な会社休日、育児・介護休業制度、継続的な学習・研究支援、トレーニングプログラムが含まれています。

Application Scientist, Materials Science - Schrödinger K.K.

Schrödinger is a global leader in atomic and molecular-level simulation software, supporting the forefront of scientific research across pharmaceutical, biotechnology, and advanced materials science. Schrödinger K.K., the Japanese subsidiary of Schrödinger, Inc., is seeking an Application Scientist to join our Materials Science team.

As an Application Scientist at Schrödinger K.K., you will work at the intersection of cutting-edge computational science and real-world industrial application. This role offers a unique opportunity to leverage your research background while engaging directly with Japan's leading research institutions and corporations — creating meaningful scientific and commercial impact.

This is an ideal position for someone who is ready to move beyond the bench and apply their expertise where science meets business.

Who will love this job:

• Experienced in materials or polymer research using molecular dynamics (MD), quantum mechanics (QM), or machine learning (ML)
• Proficient in Python programming
• An effective communicator who can convey complex scientific concepts clearly to customers and researchers
• Passionate about the real-world application and industrial implementation of computational science, beyond traditional research roles
• A self-motivated team player who works well independently and collaboratively
• Comfortable and enthusiastic about traveling to customer sites across Japan

What you’ll do:

• Provide scientific and technical support to existing and prospective customers, including software demonstrations, facilitation of interactions between customers and product development teams, and general scientific guidance
• Troubleshoot scientific workflows, administration, and adaptation of customer modeling environments
• Advise customers on best practices for computational modeling and materials design
• Act as a bridge between customers and product development teams, gathering and sharing feedback
• Collaborate cross-functionally with Account Managers and Marketing teams to support business strategies
• Publish scientific papers and present at academic meetings, conferences, and exhibitions
• Execute or support contract analysis and research services

What you’ll need:

• Master’s Degree or PhD in materials science, polymer science, computational chemistry, physical chemistry, or a related field
• Research experience in MD, QM, or ML — we value learning agility and practical application over depth of specialization alone
• Python programming experience
• Native-level Japanese proficiency for customer and internal communications, document and slide preparation, reporting, and academic presentations
• Working English proficiency for emails, reports, and web conferences
• Willingness and ability to travel as required

Pay and Perks:

Schrödinger understands that it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, bonus plan, and benefits, which includes mutual-aid retirement plans, over three weeks of paid vacation time, numerous company holidays, a parental and caregiver leave program, and healthcare through our partnership with the Japanese Health Insurance Association, and professional development opportunities including trainings and continuous education support. 

Req: CSQ127R172
Location: Tokyo, Japan

As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions.

The Impact You Will Have

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What We Look For

• 4+ years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
• Strong experience with SQL-based database is required.
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Experience with "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.
• Written and spoken proficiency in both Japanese and English 

CSQ227R244

As a Resident Solutions Architect (RSA) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Director, Professional Services.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include building reference architectures, how-to's and production grade MVPs
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• Experience with Big Data Technologies or Data science in a customer-facing post-sales, technical architecture or consulting role.
• Comfortable writing code in SQL, with proficiency in either Python or Scala.
• Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP).
• Experience with developer operations and continuous integration/delivery for production deployments.
• Experience with technical project delivery - managing scope and timelines, preferably in data platform project
• Ability to communicate and collaborate in Japanese and English fluently to deliver domestic and overseas projects.

FEQ227R42

DatabricksはデータとAIの企業であり、全世界で10,000以上の組織が、Comcast、Condé Nast、Grammarly、Fortune 500の50%以上を含む、Databricks Data Intelligence Platformを利用してデータ、分析、AIを統合し民主化しています。Databricksはサンフランシスコに本社を置き、世界中にオフィスを展開しており、Lakehouse、Apache Spark™、Delta Lake、MLflowのオリジナルクリエイターによって設立されました。詳細については、X、LinkedIn、FacebookでDatabricksをフォローしてください。

仕事の内容

プリセールスソリューションアーキテクト（分析、AI、ビッグデータ、パブリッククラウド）として、あなたは営業プロセス全体にわたってハンズオン環境で技術評価フェーズを指導します。あなたは営業チームの技術アドバイザーとなり、現場で顧客要件を実現するために製品チームと連携します。Databricks データインテリジェンスプラットフォームを使用して顧客が具体的なデータ駆動の成果を達成する手助けをし、データチームがプロジェクトを完了し、当社のプラットフォームを企業エコシステムに統合できるよう支援します。ビッグデータ、分析、データエンジニアリング、データサイエンスの問題に対する顧客の最大の課題に対する解決策を見つけながら、あなたは営業チームと一緒にお客様に解決策を提案します。あなたはフィールドエンジニアリングのマネージャーに報告します。

あなたがもたらす影響：

• あなたはアーキテクチャと設計の側面におけるビッグデータ分析の専門家となります。
• 見込み客をDatabricksの評価と採用へ導きます。
• リファレンスアーキテクチャ、ハイレベルの導入・移行プラン、およびデモアプリケーションを作成することで顧客を支援します。
• 顧客アーキテクチャをサポートするためにDatabricksとサードパーティアプリケーションを統合します。
• ワークショップ、セミナー、およびミートアップを主導することで技術コミュニティと関わります。
• 営業と共に、担当するセグメントのクライアントとの成功した関係を築き、技術的およびビジネス価値を提供します。
• 顧客のユースケースのディスカバリー
• 既存顧客のDatabricks環境の最適化
• Databricks製品改善のための活動

必要な条件/経験:

• 様々な業界・産業で外部クライアントと関わるプリセールスまたはポストセールスの経験
• 技術概念を示す経験、プレゼンテーションやホワイトボードを使用した経験
• パブリッククラウド（AWS、Azure、GCP）内でのアーキテクチャ設計と実装の経験
• エンタープライズアカウントとの業務経験
•  日本語での流暢なコミュニケーション、および英語でのビジネス上の読み書きができること
• データ領域、もしくは、機械学習・AI領域の基本的な技術理解。および、SQLのコーディングスキル。

望ましい経験/スキル:

• データエンジニアリングまたはデータサイエンスのいずれかにおいてコアな強みを持つ顧客向けプリセールスまたはコンサルティングの役割に対する理解があることが望ましい
• Apache Spark™、AI、データサイエンス、データエンジニアリング、Hadoop、Cassandraなどのビッグデータ技術に関する経験
• Python, Scala, Java、もしくはRを使用したApache Sparkの流暢なコーディング経験
• データ領域、もしくは、機械学習・AI領域での開発経験。特に、Python(Pandas, NumPy等)のコーディング経験

Req ID: FEQ427R294
Location: Tokyo, Japan

As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Digital Native field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

Req ID: FEQ427R123
Location: Tokyo, Japan

As a Pre-sales Solutions Architect (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the Financial Services field. You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Senior Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

Req ID: FEQ427R295
Location: Osaka, Japan

As a Pre‑sales Solutions Architect (Analytics, AI, Big Data, Public Cloud) – Kansai Region, your mission will be to drive successful technical evaluations and solution designs for some of our focus customers in the Kansai region (Osaka/Kyoto) for Databricks Japan. You are passionate about data and AI, love getting hands‑on with technology, and enjoy communicating its value to both technical and non‑technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof‑of‑concept phases, and act as a trusted advisor to our customers on their data and AI strategy. You will help customers realize tangible, data‑driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem. You will also be a key technical voice back into our product and field teams, championing customer needs from the Kansai market. You will report to the Manager of Field Engineering.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups
• Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark™, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese