368,611open jobs
9,439companies
50,719added this week
Browse all
Salary
$41k – $108k per year (Estimated)
Location
Remote/Hybrid (Tokyo, Japan)
Seniority
Staff · 5+ years exp
Overview
Company
Impact
Profile match
Braze is a cloud-based customer engagement platform that helps brands deliver personalized, data-driven messaging across multiple digital touchpoints. Founded in 2011 (originally as Appboy) and publicly traded on NASDAQ (BRZE), the company specializes in real-time lifecycle marketing and cross-channel orchestration.

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).

*Japanese language proficiency is required for this role. Please indicate your proficiency level in your application.

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 EMPLOYER

At 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.

OUR AI-POWERED BRAZE RECRUITMENT PROCESS

At Braze, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. 

This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process.

Depending on where you are located, you may have the right to request further information about how AI is used in our recruitment process, to opt out of AI-assisted review, to request a manual review of any decision made or to contest a decision. 

Please contact us at [email protected] for any requests or questions. To find out more about our hiring process, check out this page.

Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)

Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. Please submit any such request to our Talent Acquisition team at [email protected] promptly after applying. A summary of the most recent bias audit results for such tool is available here.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,611 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Tokyo
Sr. UX Designer 3 hours ago
$76k – $161k per year (Estimated) • Remote/Hybrid • Full-Time • 6+ years exp • Toronto
Python
AI/ML
AI Agents
Hallucination
Human-in-the-Loop
LLM
LLM Guardrails
Design
Figma
Apply
$14k – $35k per year (Estimated) • Remote/Hybrid • Full-Time • Bachelor's Degree • Phoenix
SQL
AI/ML
AI Agents
Edge AI
DevOps
AWS
Apply
$13k – $29k per year (Estimated) • Remote/Hybrid • Full-Time • Bachelor's Degree • Pune
JavaScript
Apex
Apex
MuleSoft
AI/ML
AI Agents
Edge AI
DevOps
AWS
Azure
Management
Draw.io
Marketing
Salesforce
Apply
In office • Internship • Bachelor's Degree • Boise
MATLAB
Python
AI/ML
Claude
Apply
$115k – $204k per year (Estimated) • In office • Full-Time • United States
Bash
C++
Python
C++
CMake
DevOps
GitHub
GitHub Actions
Apply
$158k – $257k per year • Equity • In office • 7+ years exp • Vancouver
Go
Ruby
SQL
Ruby
Ruby on Rails
Databases
Snowflake
AI/ML
AI Agents
DevOps
AWS
Azure
GCP
Kubernetes
Apply
$75k – $159k per year (Estimated) • Equity • Remote • Full-Time • 5+ years exp • Vancouver
Java
Python
Ruby
Ruby
Ruby on Rails
Databases
Apache Kafka
PostgreSQL
Redis
AI/ML
AI Agents
DevOps
Ansible
AWS
Azure
Chef
Datadog
GCP
Grafana
Kubernetes
Nginx
PagerDuty
Prometheus
Terraform
Apply
$75k – $159k per year (Estimated) • Equity • Remote • Full-Time • 5+ years exp • Toronto
Java
Python
Ruby
Ruby
Ruby on Rails
Databases
Apache Kafka
PostgreSQL
Redis
AI/ML
AI Agents
DevOps
Ansible
AWS
Azure
Chef
Datadog
GCP
Grafana
Kubernetes
Nginx
PagerDuty
Prometheus
Terraform
Apply
$73k – $140k per year (Estimated) • Equity • In office • 5+ years exp • Bachelor's Degree • London
Python
SQL
AI/ML
AI Agents
CatBoost
Ignite
Keras
Pandas
Reinforcement Learning
Scikit-learn
TensorFlow
XGBoost
PyTorch
Mobile
Braze
DevOps
CI/CD
GCP
Git
Kubernetes
Terraform
Analytics
ETL/ELT
Apply
$134k – $240k per year • Equity • In office • 5+ years exp • Toronto
Java
Kotlin
Databases
Apache Kafka
AI/ML
AI Agents
Apply
$17k – $45k per year (Estimated) • In office • Full-Time • 1+ year exp • Bachelor's Degree • Tokyo
Management
Google Workspace
Jira
Slack
Apply
$31k – $77k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Tokyo
Apply
$44k – $99k per year (Estimated) • Equity • Remote • Full-Time • Tokyo • Nagoya • Osaka
Bash
Perl
PowerShell
Python
DevOps
Splunk
Cybersecurity
Crowdstrike
Apply
$44k – $95k per year (Estimated) • In office • Full-Time • Tokyo • Fukuoka
Java
PHP
Python
TypeScript
JavaScript
Frontend
Next.js
React.js
Management
Power Apps
Power Automate
Apply
Backend Engineer 1 day ago
$45k – $57k per year • In office • Full-Time • 3+ years exp • Tokyo
Python
TypeScript
JavaScript
Python
FastAPI
Databases
PostgreSQL
Frontend
Next.js
React.js
DevOps
Amazon EC2
AWS
AWS CDK
CI/CD
Docker
GitHub Actions
Vercel
Amazon CloudWatch
Amazon S3
GitHub
IAM
Management
Linear
Apply
See all jobs
This is one of many
368,611 more open roles from verified company boards, updated every day.