AI-Driven Onboarding & Data Migration Specialist

Kitomba

Wellington

On-site

NZD 90,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Birthday leave
Annual bonuses
Wellness program
Wellness wallet $250 per year

Job summary

Kitomba is seeking a Customer Onboarding and Implementation Specialist to coordinate the end-to-end onboarding journey, including data migration, configuration, and ensuring a fault-free install for new customers.

You will use Claude Code to script and automate data extraction and migration, support AI-driven onboarding processes, and manage onboarding queues in Zendesk while coordinating training and ensuring a smooth go-live experience across multiple SaaS customers.

Qualifications

  • Minimum 2+ years in a technical role involving data manipulation or migration.
  • Minimum 3+ years in a customer-facing role, SaaS experience preferred.
  • Comfortable handling large data sets and data cleaning.
  • Able to work in a fast-changing environment with multiple customers in flight.

Responsibilities

  • Lead end-to-end onboarding with data migration and configuration for new customers.
  • Script and automate data extraction and migration tasks using Claude Code.
  • Coordinate onboarding queues in Zendesk and manage go-live readiness.
  • Schedule training, brief trainers, and ensure post-install follow-ups.
  • Maintain up-to-date Confluence docs and monitor onboarding metrics.

Skills

Advanced Excel
Claude Code
Data migration
Data manipulation
SQL
Customer-facing
Problem solving
Organization

Tools

DBVisualizer

Job description

Kitomba is seeking a Customer Onboarding and Implementation Specialist to coordinate the end-to-end onboarding journey, including data migration, configuration, and ensuring a fault-free install for new customers.

You will use Claude Code to script and automate data extraction and migration, support AI-driven onboarding processes, and manage onboarding queues in Zendesk while coordinating training and ensuring a smooth go-live experience across multiple SaaS customers.

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