AI Decisioning Technical Lead

About this role

<div class="content-intro"><p>At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.</p> <p>We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.</p> <p>To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.</p> <p>Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.</p> <p>If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.</p></div><p><strong>WHAT YOU'LL DO</strong></p> <p>Braze is looking for a pioneer to fill a highly strategic, hybrid role within our Japan team. As the <strong>AI Decisioning Lead,</strong> you will own the end-to-end AI lifecycle for our customers in Japan. This is a unique, multi-disciplinary role combining <strong>sales </strong>(supporting the sales team as a technical SME) and <strong>post-sales </strong>(facilitating the forward-deployed delivery of AI Decisioning to contracted customers).<br><br><em><strong>*Japanese language proficiency is required for this role. Please indicate your proficiency level in your application.</strong></em></p> <p>You will be the ultimate subject matter expert on AI Decisioning capabilities, helping brands predict customer behavior, automate orchestration, and scale hyper-personalized engagement.&nbsp;</p> <p>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.</p> <p><strong>Sales responsibilities</strong></p> <ul> <li><strong>Visionary Pitching:</strong> Partner with the Sales Team to present and demo AI Decisioning capabilities and roadmap to prospective C-level executives (CMOs, CDOs, CTOs).</li> <li><strong>Value Discovery:</strong> Conduct discovery workshops to identify top AI Decisioning use cases.</li> <li><strong>AI Academy: </strong>Lead hands-on educational sessions with prospects and customers that give a strong understanding of current trends and applications of artificial intelligence in marketing.</li> </ul> <p><strong>Customer Readiness Assessment: Assist sales team in identifying and mitigating program risks (e.g., business case, tech stack) before deals are signed</strong></p> <p><strong>Post-sales (forward-deployed) responsibilities</strong></p> <ul> <li><strong>Adoption &amp; Optimization:</strong> 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.</li> <li><strong>Experimentation Design:</strong> Facilitate the technical setup of AI Decisioning fully aligns to business goals and internal best practices.</li> <li><strong>Business Reviews:</strong> Analyze client campaign performance data to deliver strategic recommendations and insights, showcasing how AI Decisioning is driving incremental value.</li> <li><strong>Technical Troubleshooting:</strong> Act as the technical bridge between Japan clients and global product/engineering teams for complex AI/ML anomalies.</li> <li><strong>Data Architecture &amp; Integration:</strong> Work closely with client data teams to ensure clean data pipelines flow from Data Warehouses (Snowflake, Databricks, BigQuery) into Braze for AI modeling.</li> </ul> <p><strong>WHO YOU ARE</strong></p> <ul> <li><strong>Experience:</strong> 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).</li> <li><strong>Data Science Proficiency:</strong> Strong hands-on experience with SQL, Python/R, and latest AI tools for data analysis and machine learning.</li> <li><strong>Statistical Knowledge:</strong> Strong understanding of machine learning concepts and how they apply to consumer marketing.</li> <li><strong>MarTech Ecosystem:</strong> Deep understanding of the modern data stack and marketing ecosystem (CDPs, Data Warehouses like Snowflake/BigQuery, and CRM/Marketing Automation tools).</li> <li><strong>Language Skills:</strong> <strong>Native/Fluent Japanese</strong> (for local client management) and Business-level English (to collaborate with global product teams and technical documentation).</li> </ul> <ul> <li><strong>Consultative Mindset:</strong> Proven ability to translate complex data science and AI jargon into clear, value-driven business language for non-technical stakeholders.</li> <li><strong>Agility:</strong> A "builder" mentality—comfortable navigating ambiguity and defining a brand-new role in a fast-paced environment.</li> </ul> <p>#LI-Remote, #LI-Hybrid, #LI-Remote</p><div class="content-conclusion"><div class="p-rich_text_section"> <p><strong>WHAT WE OFFER<br></strong></p> <p><em>Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country </em><a href="https://www.braze.com/company/careers/how-we-hire#benefit-section"><em>here</em></a><em>. More details on benefits plans will be provided if you receive an offer of employment.</em></p> <p>From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:</p> <ul> <li>Competitive compensation that may include equity</li> <li>Retirement and Employee Stock Purchase Pl