AI Decisioning Technical Lead

Braze Braze · Enterprise · Tokyo, Japan · Customer Experience

This role is a hybrid technical lead for AI Decisioning at Braze, focusing on the end-to-end AI lifecycle for Japanese customers. It involves both pre-sales (technical SME, pitching, discovery) and post-sales (AI Success Manager, experimentation design, performance analysis, troubleshooting, data pipeline integration). The goal is to help brands predict customer behavior, automate orchestration, and scale hyper-personalized engagement. The role requires strong SQL, Python/R, ML concepts, MarTech knowledge, and consultative skills, with potential to grow into management.

What you'd actually do

  1. Own the end-to-end AI lifecycle for our customers in Japan.
  2. Partner with the Sales Team to present and demo AI Decisioning capabilities and roadmap to prospective C-level executives (CMOs, CDOs, CTOs).
  3. Conduct discovery workshops to identify top AI Decisioning use cases.
  4. 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.
  5. Work closely with client data teams to ensure clean data pipelines flow from Data Warehouses (Snowflake, Databricks, BigQuery) into Braze for AI modeling.

Skills

Required

  • SQL
  • Python/R
  • machine learning concepts
  • enterprise client-facing role experience
  • consultative mindset
  • native/fluent Japanese
  • business-level English

Nice to have

  • Solutions Architect
  • Forward-Deployed Engineer
  • Technical Account Manager
  • Data Consultant
  • latest AI tools for data analysis
  • modern data stack
  • marketing ecosystem
  • CDPs
  • Data Warehouses like Snowflake/BigQuery
  • CRM/Marketing Automation tools
  • builder mentality

What the JD emphasized

  • AI Decisioning
  • AI Success Manager
  • AI/ML anomalies
  • AI Decisioning capabilities
  • AI Decisioning use cases
  • AI Decisioning to contracted customers
  • AI Decisioning is driving incremental value

Other signals

  • customer engagement platform
  • AI Decisioning
  • predict customer behavior
  • automate orchestration
  • scale hyper-personalized engagement
  • AI Success Manager
  • AI/ML anomalies