Bilingual Product Manager【Global AI Company】Voice AI | Up to ¥18M | | Hybrid

Our client is a fast-growing Japanese technology company developing AI-powered B2B SaaS products that help enterprise customers transform customer engagement and business performance.

The company operates a highly global organization with members from more than 20 nationalities across multiple international locations. You will collaborate with international engineering teams, product stakeholders, sales, and customer success teams in a multicultural environment.

The company is currently expanding its AI-powered communication solutions and is looking for an experienced Bilingual Product Manager (Voice AI) to drive the development of its next-generation conversational AI platform.

The platform enables enterprise customers to automate large-scale customer communications through AI-powered voice conversations, inbound and outbound calling, SMS, and multichannel customer journeys.

Beyond traditional voice automation, the company aims to develop an intelligent platform capable of executing business activities such as lead qualification, appointment scheduling, data collection, and customer engagement.

Position Overview

Annual Salary: JPY 11,000,000 – 18,000,000
Location: Aoyama, Minato-ku, Tokyo or Osaka
Working Style: Hybrid – Approximately 4 days Remote / Week (1 office day recommended)
Working Hours: Flextime / Core Hours 10:00–16:00
Japanese: Business Level (Japanese language proficiency is negotiable depending on the experience)
English: Business Level Required
Experience: 3+ Years in Product Management or Project Management
Employment Type: Permanent Employee

Role Overview

As a Product Manager, you will lead the development and continuous improvement of an AI-powered voice communication platform designed for enterprise customers in Japan.

You will work closely with enterprise clients, sales, customer success, and international engineering teams to translate business requirements into scalable product solutions.

Your responsibilities will include driving key product initiatives such as calling functionality, answering machine detection (AMD), general automation, and improvements to conversational AI performance.

You will be expected to independently evaluate technical feasibility, development costs, product priorities, and customer requirements while ensuring alignment with the overall product strategy.

Key Responsibilities

Product Roadmap & Development

• Drive product development initiatives based on business strategy and product roadmap.
  
• Identify product challenges and opportunities.
  
• Define product requirements, specifications, and development priorities.
  
• Manage initiatives from planning and requirements definition through release.
  
• Evaluate technical feasibility, development costs, and business impact.
  

Customer Requirements & Product Strategy

• Work closely with enterprise customers, sales, and customer success teams.
  
• Understand customer requirements and underlying business challenges.
  
• Evaluate customer requests based on technical feasibility and development priorities.
  
• Manage customer expectations regarding product capabilities and delivery timelines.
  
• Transform individual customer requirements into scalable product capabilities.
  

Global Engineering Collaboration

• Collaborate with international engineering teams primarily in English.
  
• Discuss technical specifications, implementation feasibility, and development schedules.
  
• Prepare Product Requirement Documents (PRDs) and technical specifications.
  
• Coordinate development priorities across engineering and business stakeholders.
  
• Ensure clear communication throughout the product development lifecycle.
  

Voice AI & Product Quality

• Identify opportunities to improve conversational AI performance.
  
• Analyze voice interaction quality and customer feedback.
  
• Understand key voice UX factors, including:
  
  • Latency and response time
    
  • Turn-taking
    
  • Barge-in and interruption handling
    
  • Silence detection
    
  • Natural conversation flow
    
• Prioritize improvements based on customer requirements and business impact.
  
• Collaborate with technical teams to improve overall product quality.
  

Product Prioritization & Decision-Making

• Evaluate product priorities considering customer impact, technical feasibility, and development costs.
  
• Make informed build-versus-buy decisions.
  
• Assess external technology providers and internal development opportunities.
  
• Balance short-term customer requirements with long-term product scalability.
  
• Communicate decisions, risks, and trade-offs to relevant stakeholders.
  

Agile Product Development

• Create clear PRDs and functional specifications.
  
• Manage product backlogs and development priorities.
  
• Collaborate with engineering teams throughout agile development cycles.
  
• Support sprint planning and feature delivery.
  
• Ensure product quality and successful releases.
  

Requirements

Required Qualifications

3+ years of experience in Product Management or Project Management.

Experience in product development or product management involving at least one of the following:

• Generative AI
  
• Voice AI
  
• Interactive Voice Response (IVR)
  
• Chatbots, including text-based web chatbots
  

Understanding of the fundamental technologies and characteristics of AI-powered products.

Ability to discuss technical specifications, feasibility, and implementation constraints with engineering teams.

Strong communication and stakeholder management skills.

Business-level English communication skills or above.

Japanese language proficiency is negotiable.

Preferred Qualifications

• Business-level Japanese communication skills.
  
• Experience communicating or negotiating with Japanese enterprise customers.
  
• Experience developing products involving Generative AI, Voice AI, IVR, or Voicebots.
  
• Knowledge of telephony technologies, including:
  
  • SIP
    
  • Carrier infrastructure
    
  • Call routing
    
  • Call transfer protocols
    
  • Answering Machine Detection (AMD)
    
• Understanding of voice UX principles such as latency, interruption handling, endpoint detection, silence thresholds, and turn-taking.
  
• Experience with AI quality assurance, conversational testing, hallucination evaluation, or AI performance metrics.
  
• Experience in contact center operations or Business Process Outsourcing (BPO).
  
• Knowledge of the Japanese enterprise SaaS market.
  
• Experience investigating system behavior, troubleshooting, or identifying technical issues.
  

Ideal Candidate

We are looking for someone who:

• Has strong technical curiosity and enjoys understanding how AI-powered products work.
  
• Can communicate effectively across engineering and business teams.
  
• Takes ownership of product challenges from identification through resolution.
  
• Makes independent decisions while maintaining transparency with stakeholders.
  
• Can balance customer expectations, technical limitations, and business priorities.
  
• Enjoys learning new technologies and applying them to real-world products.
  
• Thrives in a multicultural and fast-changing startup environment.
  

Benefits

Benefits

Employment Type

Full-time / Permanent Position

Salary

¥11,000,000 – ¥18,000,000 / year

Annual salary system, paid in 12 monthly installments.

Compensation will be determined based on previous salary, experience, and skills.

Location / Work Style

Tokyo or Osaka

Hybrid work environment with approximately one office day per week recommended.

Tokyo: Aoyama, Minato-ku

Osaka: Grand Green Osaka

Flexible Working Hours

Flextime system with core hours from 10:00–16:00.

Standard working hours: 9:00–18:00, including a one-hour break.

Additional Benefits

• Social insurance coverage.
  
• Transportation allowance.
  
• Company-provided laptop.
  
• Annual paid leave.
  
• Additional health and wellness leave.
  
• Childcare and parental support programs.
  
• Annual learning and development allowance of up to ¥55,000.
  
• Employee health checkups.
  
• Internal team-building activities.
  
• Performance evaluations based on OKRs.