AI Decisioning Technical Lead

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

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.

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.

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.

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.

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 stra