AI Decisioning Technical Lead

About Braze

Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™. Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.

The company has been consistently recognized as a Leader in marketing technology by industry analysts, and was named a G2 “Best of Marketing and Digital Advertising Software Product” in 2026. Braze was also named a 2026 Best Places to Work by Built In, a 2025 America’s Greenest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.

The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.

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.

Who You Are

• 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.