募集情報Job Information
AI Decisioning Technical Lead(AIソリューション・テクニカルリード)
Braze is looking for a pioneer to fill a highly strategic, hybrid role within our Japan team. As the AI Decisioning Lead, you will own the end-to-end AI lifecycle for our customers in Japan. This is a unique, multi-disciplinary role combining sales (supporting the sales team as a technical SME) and post-sales (facilitating the forward-deployed delivery of AI Decisioning to contracted customers).
You will be the ultimate subject matter expert on AI Decisioning capabilities, helping brands predict customer behavior, automate orchestration, and scale hyper-personalized engagement.
This role is scoped as an Individual Contributor role to start, but could grow into a management role as the Braze’s AI Decisioning business grows in Japan and APAC.
- WHAT YOU HAVE
- Experience:
5+ years of experience in a highly technical, enterprise client-facing role (e.g., Solutions Architect, Forward-Deployed Engineer, Technical Account Manager, or Data Consultant). - Data Science Proficiency:
Strong hands-on experience with SQL, Python/R, and latest AI tools for data analysis and machine learning. - Statistical Knowledge:
Strong understanding of machine learning concepts and how they apply to consumer marketing. - MarTech Ecosystem:
Deep understanding of the modern data stack and marketing ecosystem (CDPs, Data Warehouses like Snowflake/BigQuery, and CRM/Marketing Automation tools). - Language Skills: Native/Fluent Japanese
(for local client management) and Business-level English (to collaborate with global product teams and technical documentation). - Consultative Mindset:
Proven ability to translate complex data science and AI jargon into clear, value-driven business language for non-technical stakeholders.
- Agility:
A “builder” mentality—comfortable navigating ambiguity and defining a brand-new role in a fast-paced environment.
- Experience:
募集要項
- WHAT YOU'LL DO
- Braze is looking for a pioneer to fill a highly strategic, hybrid role within our Japan team. As the AI Decisioning Lead, you will own the end-to-end AI lifecycle for our customers in Japan. This is a unique, multi-disciplinary role combining sales (supporting the sales team as a technical SME) and post-sales (facilitating the forward-deployed delivery of AI Decisioning to contracted customers).
You will be the ultimate subject matter expert on AI Decisioning capabilities, helping brands predict customer behavior, automate orchestration, and scale hyper-personalized engagement.
This role is scoped as an Individual Contributor role to start, but could grow into a management role as the Braze’s AI Decisioning business grows in Japan and APAC.
■Sales responsibilities
・Visionary Pitching: Partner with the Sales Team to present and demo AI Decisioning capabilities and roadmap to prospective C-level executives (CMOs, CDOs, CTOs).
・Value Discovery: Conduct discovery workshops to identify top AI Decisioning use cases.
・AI Academy: Lead hands-on educational sessions with prospects and customers that give a strong understanding of current trends and applications of artificial intelligence in marketing.
Customer Readiness Assessment: Assist sales team in identifying and mitigating program risks (e.g., business case, tech stack) before deals are signed
■Post-sales (forward-deployed) responsibilities
・Adoption & Optimization: Act as a dedicated AI Success Manager for high-value clients, ensuring they maximize and fully understand the value of their investment into AI Decisioning.
・Experimentation Design: Facilitate the technical setup of AI Decisioning fully aligns to business goals and internal best practices.
・Business Reviews: Analyze client campaign performance data to deliver strategic recommendations and insights, showcasing how AI Decisioning is driving incremental value.
・Technical Troubleshooting: Act as the technical bridge between Japan clients and global product/engineering teams for complex AI/ML anomalies.
・Data Architecture & Integration: Work closely with client data teams to ensure clean data pipelines flow from Data Warehouses (Snowflake, Databricks, BigQuery) into Braze for AI modeling. - WHAT WE OFFER
- 様々なライフステージをサポートする包括的な福利厚生からハイブリットワークまで、仕事と私生活のバランスをとるために必要なものを提供しています。
■長期的な資産形成
・競争力のある報酬
・401K / 企業型確定拠出年金
・従業員株式購入制度 (ESPP)
・Financial Coaching を受ける機会
■キャリア構築 / 育成サポート
・学習費用補助制度
・Development / Coaching / カウンセリングなどを受ける機会
・個人、チーム、ビジネスの成長とともに創出されるキャリアパス
・その他社内の学習プラットフォームや、LinkedIn Learning などのアクセス
■健康 / 家族サポート
・医療費用補助
・休暇制度
・Fertility & Family Forming Support
■チームビルディングの機会
・Volunteer Activity
・Braze 内で支援コミュニティを構築する従業員リソースグループ
・毎週水曜日の Office Lunch Offering
・他部署とのランチ会
・Referral Program
・その他 Global とのチームビルディングや様々な機会を通して、チーム間の価値観の理解や繋がり構築に取り組めるようにしています。
■その他
・WorkStyling 全拠点アクセス
・オフィスの Drinks & Snacks - ABOUT BRAZE
- Braze (Nasdaq) は、顧客とブランドの良質な関係構築を支援するカスタマーエンゲージメントプラットフォームを提供しています。海外ではBurger King、KFC、McDonarld、Mercari、PizzaHut、SEPHORA、日本ではメルカリ、タイミー、コスモ石油、マネーフォワード、freee、サンリオ、ミスミ等で活用されています。
データ発生から1.1秒でマーケティング施策に活用でき、生成AIを活用したパーソナライズコミュニケーションを支援し、店舗・ウェブ・アプリとマルチに広がるチャネルに対応した一貫した人間らしいデジタル体験を提供し、ブランドと消費者の結びつきを強くし、収益とブランド価値強化の双方を実現します。テクノロジーとクリエイティビィティーが融合させるマーケティング5.0の実現インフラといっても過言ではありません。
Braze は米国と英国でGreat Place to Work®として認定されており、2022 年、Braze はニューヨークのFortune's Best Small and Medium Workplaces で1 位、アメリカのFortune's Best Workplaces for Millennials で5 位、イギリスのFortune's Best Medium Sized Workplaces for Women で11 位を獲得しました。
ニューヨークの本社をはじめ、東京以外にもオースティン、ベルリン、シカゴ、ロンドン、パリ、サンフランシスコ、シンガポール、トロントなど、世界各地で多くの社員が働いています。
Braze株式会社
