Product Manager (AI)

TL;DR

Product Manager (AI): Managing advertising products and driving the optimization of logic using AI to maximize publisher revenue and advertiser ROAS with an accent on cross-functional leadership and data-driven product strategy. Focus on defining product requirements, coordinating with data science and engineering teams, and aligning development roadmaps with business objectives.

Location: Tokyo, Japan

Company

hirify.global is a leading Japanese e-commerce and internet services company offering a wide range of services including fintech, digital content, and communications globally.

What you will do

• Drive cross-functional teams to execute the product roadmap for advertising products.
• Define product requirements, scope, and project plans to ensure timely delivery.
• Collaborate with data science and engineering teams to assess feasibility and optimize development processes.
• Conduct user research and market analysis to guide product strategy and development decisions.
• Manage internal and external communication during system incidents.
• Build relationships with stakeholders and sales teams to maximize product-market fit.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of product management experience in software or technology.
• Proven track record of leading complex, cross-functional projects.
• Advanced proficiency in English and strong interpersonal skills.
• Practical experience with Agile development methodologies and tools like JIRA and Confluence.
• Ability to manage multiple projects in a fast-paced environment.

Nice to have

• Experience in the online advertising or AdTech industry.
• Experience managing products leveraging AI/Machine Learning.
• Knowledge of SQL, Python, or R.
• Experience in the e-commerce sector.
• PMP or other project management certifications.

Culture & Benefits

• Focus on innovation and ecosystem-wide synergy.
• Opportunity to work on large-scale AI-driven advertising systems.
• Collaborative environment with diverse teams including data scientists and engineers.