Product Manager AI

勤務地 東京都
業界・業種 IT
契約タイプ Permanent
給料 Negotiable
参照番号 59479

Position Title
Product Manager, AI SaaS

Company
Confidential AI Product Company

Employment Type
Full-time

Location
Nishi-Shinjuku, Tokyo, Japan

Work Style

  • Hybrid work arrangement

  • 3 days in office / 2 days remote

Salary

  • Annual salary: 12,000,000 JPY – 20,000,000 JPY

  • Monthly salary: 857,143 JPY – 1,428,571 JPY

  • Includes fixed overtime allowance for 45 hours

  • Additional overtime paid separately

  • Stock options available

  • Performance reviews and bonuses twice per year

About the Company

  • Rapidly growing AI-native technology company focused on enterprise AI systems

  • Founded in 2023 as part of a publicly listed Japanese technology group

  • Developing enterprise AI products that integrate SaaS environments and enable AI-driven business execution

  • Operating multiple AI SaaS products used by enterprise customers across Japan

  • Long-term vision focused on becoming the operational intelligence layer for enterprises

Role Overview

  • Lead product strategy and product architecture for enterprise AI SaaS products

  • Define what to build, why it matters, and how it should be implemented across AI platforms

  • Operate at the intersection of product management, technical architecture, AI systems, and business strategy

  • Work across AI SaaS, enterprise integrations, RAG systems, tool-use, guardrails, multi-agent systems, and workflow automation

  • Partner closely with engineering, leadership, customer-facing teams, and enterprise stakeholders

Mission

  • Define the strategic direction of AI products from both technical and business perspectives

  • Increase the probability of success for enterprise AI products through strong product and architectural decision-making

Key Responsibilities

  • Translate business goals and customer challenges into product requirements and technical architecture

  • Define feature boundaries, domain models, data contracts, and API specifications

  • Lead RFC-driven design reviews and product decision-making processes

  • Design AI products utilizing LLM and generative AI patterns including RAG, tool-use, guardrails, and multi-agent systems

  • Make Build vs Buy vs Integrate decisions for critical technical capabilities

  • Drive trade-off decisions across scalability, availability, latency, security, maintainability, and cost

  • Collaborate closely with engineering, product, design, FDE, leadership, and enterprise customer stakeholders

  • Build product roadmaps with visibility into technical debt and long-term architectural sustainability

  • Contribute to broader product portfolio strategy and future platform direction

Required Qualifications

  • 5+ years of experience as a Product Manager, Technical Product Manager, or Tech Lead

  • Practical software engineering knowledge with the ability to understand full-product architecture

  • Experience designing products utilizing LLMs or generative AI technologies

  • Understanding of RAG, tool-use, guardrails, or related AI product patterns

  • Strong system design knowledge including distributed systems, microservices, or event-driven architectures

  • Experience gathering requirements and building consensus with business stakeholders

  • Ability to work cross-functionally with engineering, design, leadership, and customer-facing teams

  • Fluent Japanese communication skills for technical product discussions

  • Business-level English communication skills

Preferred Qualifications

  • Experience launching 0-to-1 SaaS or B2B products

  • Startup environment experience

  • Cloud architecture design experience with AWS, GCP, or Azure

  • Experience operating RFC-driven design review processes

  • Strong English technical communication skills

  • Experience with enterprise SaaS integrations, workflow engines, or multi-tenant architecture

Technical Environment

  • Backend: Python

  • Frontend: TypeScript, React, Next.js, NX

  • AI / LLM: LangChain, LangGraph, proprietary AI SDKs, RAG systems, agent frameworks

  • Infrastructure: GCP, Kubernetes, Docker, Terraform

  • Collaboration Tools: Slack, Confluence, Linear, Google Workspace, GitHub, Notion

  • AI Development Tools: Claude Code, Cursor, ChatGPT, Devin

Team Structure

  • Engineering organization of approximately 120 members

  • Cross-functional collaboration across product, engineering, infrastructure, AI, and customer-facing teams

Working Environment

  • Office located in Nishi-Shinjuku, Tokyo

  • Flexible working hours available

  • Standard hours: 10:00 – 19:00

  • Core time negotiable

  • MacBook with Apple Silicon and dual monitor setup provided

Benefits

  • Full social insurance coverage

  • Full commuting expense reimbursement

  • Stock option program

  • AI tooling support including enterprise AI development tools

  • Development allowance up to 30,000 JPY per year

  • Book purchase support up to 30,000 JPY every six months

  • Language learning and certification support

  • Monthly wellness allowance up to 5,000 JPY

  • Housing allowance up to 30,000 JPY per month for designated areas

Hiring Process

  • Application review

  • Homework assignment

  • 4–5 interview rounds

  • Reference check before final interview

  • Offer stage