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 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.
#LI-Remote, #LI-Hybrid, #LI-Remote
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
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:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
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.
BRAZE IS AN EQUAL OPPORTUNITY EMPLOYERAt Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Skills Required
- 5+ years in a highly technical, enterprise client-facing role (e.g., Solutions Architect, Forward-Deployed Engineer, Technical Account Manager, Data Consultant).
- Hands-on experience with SQL, Python or R.
- Experience with AI tools for data analysis and machine learning.
- Strong understanding of machine learning concepts and their application to consumer marketing.
- Experience integrating data pipelines from Data Warehouses (Snowflake, Databricks, BigQuery) into production systems for modeling.
- Deep knowledge of the MarTech ecosystem including CDPs, CRM, and marketing automation tools.
- Native or fluent Japanese and business-level English.
- Proven consultative communication skills to translate technical concepts into business value for non-technical stakeholders.
- Ability to operate autonomously, navigate ambiguity, and help define a new role in a fast-paced environment.
What the Team is Saying
What We Do
At Braze, we believe in the passion of our people. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony. We thrive when people add their unique perspectives to our ever-growing teams—and we strive to empower you to make an impact that fuels both you, and our business.
Why Work With Us
At Braze, we believe in the passion of our people. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony. We thrive when people add their unique perspectives to our ever-growing teams—and we strive to empower you to make an impact that fuels both you, and our business.
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Braze Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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