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2 дня назад

Technical Product Manager (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
Japan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Technical Product Manager (AI): Driving the product roadmap and delivery of projects for the Catalog Management Section, focusing on achieving short-term and long-term vision of the product. Focus on developing innovative, scalable solutions and leading data teams to increase quality and user experience.

Location: Onsite in Tokyo, Tokyo

Company

hirify.global Group, a global technology leader based in Japan, provides innovative solutions that enrich the lives of millions worldwide.

What you will do

  • Drive a product roadmap and deliver projects to achieve short-term and long-term vision of the product.
  • Provide the right metrics to measure risk and providing meaningful feedback to our data and our technology.
  • Develop vision and goals for the new launch programs and guide own and related teams toward a common mission.
  • Develop innovative, scalable solutions that push the boundaries of technology to sustain our systems by analyzing and reviewing risk and issue related data.
  • Lead operations with data teams in their ability to develop and execute action plans that increase quality and user experience.
  • Effectively manage requirements and prioritization for all requests received by internal and external stakeholders.

Requirements

  • Fluent in both Japanese and English, with exceptional communication skills across diverse, multinational environment.
  • Minimum 5 years of experience in technical product management, program management or engineering with a proven track record of execution.
  • Experience owning or driving roadmap, strategy and definition.
  • Experience of E2E product delivery
  • Strong leadership capabilities, able to inspire and manage teams in a fast-paced and ever-evolving environment.
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product.

Nice to have

  • Machine learning, artificial intelligence, feature engineering, model lifecycle management and deployment.
  • Data assets, data governance, storage, and sharing.
  • Experience managing technical products or data services.
  • Experience in building and driving adoption of new products.
  • Experience in using analytical tech stack, such as SQL, Python.

Culture & Benefits

  • Maintain a dynamic approach to changing product scopes and requirements, exemplifying agility and responsiveness in all project management aspects.
  • Establish a strong relationship with both business and tech leaders to develop and lead the continuous improvement strategy across multiple products, design, engineering, quality, and customer-support teams.
  • Strong decision making and prioritization skills, guided by data.
  • Passionate about data quality and delivering effective data to impact the business.
  • Empathy and good listening skills to understand the needs/ pain points of your customers/ stakeholders.
  • Foster an inclusive and high-performing team environment through effective mentorship.

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