AI Decisioning Technical Lead

Braze
Tokyo
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Consultative communication","Bias toward action","Comfort with ambiguity"]

Own the end-to-end AI Decisioning lifecycle for customers in Japan, bridging sales and post-sales delivery. Partner with the sales team as a technical SME to pitch and demonstrate AI Decisioning, run discovery workshops, and assess customer readiness. After close, drive adoption and optimization, design experimentation setups, analyze campaign performance, and troubleshoot complex AI/ML anomalies while integrating customer data pipelines into Braze.

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FursaFursa
Braze
Braze
2 months ago

AI Decisioning Technical Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own the end-to-end AI Decisioning lifecycle for customers in Japan, bridging sales and post-sales delivery. Partner with the sales team as a technical SME to pitch and demonstrate AI Decisioning, run discovery workshops, and assess customer readiness. After close, drive adoption and optimization, design experimentation setups, analyze campaign performance, and troubleshoot complex AI/ML anomalies while integrating customer data pipelines into Braze.
Location: Tokyo
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Serve as the ultimate subject matter expert on AI Decisioning capabilities for brands in Japan.
  • •Partner with the sales team to pitch and demo AI Decisioning capabilities and roadmap to C-level executives.
  • •Drive post-sales adoption by acting as a dedicated AI Success Manager for high-value clients.
  • •Facilitate technical experimentation design and align AI Decisioning setup to business goals and internal best practices.
  • •Act as a technical bridge for complex AI/ML troubleshooting and data architecture/integration from Snowflake/Databricks/BigQuery into Braze.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceRetirementEquityPaid LeaveLearning BudgetParental Leave

Key Requirements

  • •5+ years in a highly technical, enterprise client-facing role (e.g., solutions architect, forward-deployed engineer, technical account manager, or data consultant).
  • •Strong hands-on experience with SQL and Python/R, plus latest AI tools for data analysis and machine learning.
  • •Strong understanding of machine learning concepts and how they apply to consumer marketing.
  • •Deep understanding of the modern data stack and marketing ecosystem (CDPs, data warehouses like Snowflake/BigQuery, and CRM/marketing automation tools).
  • •Native/Fluent Japanese and Business-level English to manage local clients and collaborate with global product teams.
Experience:5+ years
Skills:Consultative communicationBias toward actionComfort with ambiguity
Languages:JapaneseEnglish
Tech Stack:AI DecisioningAIMLSQLPythonRSnowflakeDatabricksBigQueryCDPsCRMMarketing automation

Company Brief

Braze
Provides a customer engagement platform that helps brands create personalized messaging and lifecycle campaigns across mobile, web, email, and other channels to drive retention, engagement, and revenue.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2011
WebsiteLinkedIn