CS Product Manager (AI)

TL;DR

CS Product Manager (AI): Leading the planning and development of customer support products and AI-driven features for hirify.global's large-scale platforms with an accent on operational efficiency and inquiry response sophistication. Focus on identifying field challenges, defining requirements, and driving end-to-end product delivery through collaboration with engineering and data teams.

Location: Must be based in Tokyo, Japan

Company

hirify.global is a global leader in innovation, operating diverse businesses including e-commerce, travel, digital content, and FinTech.

What you will do

• Take ownership of products within the customer support domain, managing roadmaps and project prioritization.
• Identify operational issues through user interviews and data analysis of KPIs.
• Translate complex business requirements into actionable system specifications.
• Drive the planning and implementation of generative AI and machine learning features.
• Coordinate with engineering, QA, and business stakeholders to ensure successful product releases.
• Monitor post-release performance and execute continuous improvement cycles.

Requirements

• Over 3 years of practical experience in product management or equivalent roles.
• Business-level proficiency in both Japanese and English (TOEIC 800+ or equivalent).
• Proven ability to conduct user interviews and define technical requirements.
• Experience collaborating with engineering teams to advance development.
• Strong problem-solving skills and ability to build consensus among diverse stakeholders.
• Proactive mindset with the ability to structure and organize complex challenges.

Nice to have

• Experience in customer support, CRM, or contact center domains.
• Experience planning products utilizing AI, machine learning, or NLP.
• Proficiency in data analysis using SQL and BI tools.
• Experience with EC platforms or B2B SaaS.
• Practical experience in Agile/Scrum environments.

Culture & Benefits

• Opportunity to work on large-scale systems with massive data.
• Environment focused on digital transformation and technological innovation.
• Collaborative culture working with diverse cross-functional teams.
• Focus on enhancing customer experience and operator productivity.