Customer Marketing Strategy Leader

freee

Marketing

SaaS

SQL

About this role

This is a full-time, mid-career Customer Marketing Strategy Leader role based in Tokyo. Online interviews are accepted.

The role is responsible for improving churn, identified in the posting as a company-wide priority. The successful candidate will use quantitative and qualitative data to find churn indicators, identify underlying causes, and uncover user-experience issues. They will create a success-strategy roadmap based on user insights, covering retention and increased product usage across the user lifecycle.

Responsibilities include planning and executing data-based marketing initiatives such as nurturing and improving onboarding content. The role works closely with marketing, sales, and product management teams to carry out these initiatives. It also leads cross-functional projects by managing KPIs and coordinating progress toward churn-rate improvement.

Required experience includes planning and executing customer marketing strategies based on data analysis, driving projects involving multiple stakeholders such as product and sales, and independently identifying problems and taking action to solve them. The posting seeks people who can form hypotheses from analysis, turn them into initiatives, collaborate across functions, and organize ambiguous situations to determine a practical path forward.

Preferred qualifications include experience building strategies for customer success planning or CRM marketing, substantial knowledge of quantitative and qualitative research, data-extraction skills using SQL or similar tools, and experience planning business strategies with an understanding of the overall business model and profit and loss.

The role is part of freee’s SaaS business, which provides integrated cloud products supporting accounting, human resources and labor management, sales management, tax filing, and electronic signatures for small businesses and individual operators. It is positioned within customer marketing and works across product and sales functions. The posting states that the work can draw on data from 380,000 establishments to investigate user behavior and test retention and usage initiatives at scale.

This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.