Customer Success Manager II (Japan)

This management role leads the partner development team in Japan, focusing on building and growing strategic partnerships. The Manager develops partner strategies, manages a team of partner managers, and drives joint business development initiatives. This position is based in Tokyo.

This Manager, Customer Success role leads a team of customer success managers in Tokyo, overseeing their performance, development, and achievement of KPIs related to adoption, renewal, and expansion. The role involves managing escalations, building customer relationships, and collaborating with sales and services teams. Requires experience in customer success management, people leadership, and technical domain knowledge in SaaS or marketing automation.

This hands-on role develops and executes locally relevant consumer marketing programs for OpenAI in Japan. The manager will drive full-funnel initiatives to grow users and usage, managing integrated campaigns across brand, digital, social, creators, and partnerships. Deep understanding of Japanese culture and consumer behavior is essential to represent the local voice internally and deliver culturally authentic campaigns.

Deploy Sakana AI's products inside enterprise customers, drive them from PoC to company-wide adoption, and feed learnings back into improving products. Requires business-level Japanese and conversational English.

This role is responsible for building the attribution and tracking foundation to provide a trusted picture of marketing's influence across the customer journey. The Senior Marketing Operations Manager will lead the shift from manual campaign and event work into automation, focusing on operational efficiency and data-driven decision-making. This position is critical for scaling marketing efforts and improving ROI measurement.

Owns architecture decisions and builds reusable components to consolidate Coaching & Player Personnel products onto a shared technical foundation. This full-stack role focuses on improving the technical infrastructure and code reuse across the CPP product suite.

Develops statistical and machine learning models for soccer player recruitment using player tracking data. Focuses on building models that partner clubs use to evaluate and recruit players.