Intro
PROEVER is an AI-powered project management platform built in Japan and now preparing for global expansion.
We are looking for a
Tokyo-based, Japanese–English bilingual Product Engineer
to drive the large-scale renewal and technical evolution of PROEVER.
About MSOL & PROEVER
Management Solutions (MSOL) is a Japan-based consulting firm specialized in project and program management. We support enterprise projects from executives to frontline teams as a hands-on PMO partner.
PROEVER is our
project management SaaS
that:
- Centralizes project data across the organization
- Provides a
program-level, cross-project view
, not just task/issue tracking - Uses
AI
to support decision-making, risk management, and reporting for executives and PMOs
PROEVER is positioned as a
core business
in MSOL's mid-term strategy. To remove technical constraints from the initial release and prepare for further growth, we are planning a
major product renewal
and strengthening our engineering team.
Role Overview
As a
Product Engineer
, you will:
- Design and develop
web application features
for PROEVER (both new development and improvements) - Work across
frontend, backend, and database
in a modern TypeScript / + Azure stack - Help improve our
development process, automation, and engineering practices - Collaborate closely with other engineers, designers, and product members
Depending on your experience, you may also take on
team management and technical leadership
within the product team.
Key Responsibilities
- Develop and improve
web application features
for PROEVER - Collaborate on
requirements definition and prototyping
, and create technical specifications - Design and implement
frontend, backend, and database
components - Use
CI/CD
and testing practices to ensure quality and stable releases - Conduct
code reviews
and contribute to engineering standards and best practices - Improve
development workflows and automation
(e.g., CI/CD, tooling) - Work closely with
product managers, designers, and other engineers
to deliver value to enterprise customers - (Depending on experience) Support
team management and mentoring
of other engineers
Tech Environment
(Actual and planned tools/stack)
- Frontend:
TypeScript / / Tailwind CSS / shadcn/ui - Backend:
TypeScript / / (Python) - Database:
PostgreSQL / GraphQL (Hasura) - OS:
Linux - Infrastructure:
Azure / Docker - CI/CD:
GitHub Actions - Version Control:
GitHub - Project Management:
PROEVER - Design:
Figma / Storybook - Communication & Collaboration:
Slack / Notion / Google Workspace / Microsoft 365 - Others:
GitHub Copilot / GitHub Codespaces / Claude Code / Keeper
Requirements – Must-Haves
- 5+ years
of professional
web application development
experience - Knowledge of
frontend technologies
such as React and - Knowledge of
backend technologies
such as , TypeScript, or Java - Experience in
database design and administration
(MySQL, PostgreSQL, MongoDB, etc.) - Experience using
cloud services
(AWS, Azure, GCP, etc.) - Experience using
CI/CD tools
(e.g., GitHub Actions) - 3+ years
of
team management or technical leadership
experience - Strong interest in
AI / generative AI
for software development, or hands-on experience in professional or personal projects - Fluent Japanese
(business level or higher) for daily communication and documentation - Business-level English
for communication with global partners and vendors
Requirements – Nice to Have
- Experience in
Agile development - Experience with
project management tools
(Jira, Asana, etc.) - Development experience with
enterprise SaaS
products - Product development or operations experience on
Microsoft Azure - Experience with
QA, performance tuning
, and other non-functional requirements - Experience in
global development environments
(e.g., offshore development using English)
Preferred – AI Agent Experience (Strong Plus)
We especially welcome candidates with
AI agent development experience
, such as:
- Designing and implementing
AI agents
using frameworks like LangGraph, LangChain, Azure AI Foundry, etc. - Implementing
multi-step reasoning, state management, tool calling, and workflow orchestration - Using
LLMs
(Azure OpenAI, OpenAI, etc.) to build decision-making, analysis, and automation features - Designing and implementing
RAG (Retrieval-Augmented Generation)
architectures - Embedding
AI agents into products or business systems
and operating them in production - Experience with
prompt design, evaluation, guardrails, and performance tuning
for LLM-based systems
Work Style & Location
- Employment type:
Full-time, permanent employee - Location:
Tokyo Midtown Tower (Roppongi), Minato-ku, Tokyo - Work style:
Hybrid with flextime (no core time) - We expect regular on-site collaboration for releases, workshops, and team communication, so we are looking for candidates
based in Tokyo (or willing to relocate)
and within commuting distance of HQ. - Candidate must be legally eligible to work in Japan.
Why Join Us
- Build and evolve a
next-generation AI project management platform
that supports executives and PMOs - Work in a
modern tech stack
with the chance to influence architecture, tools, and engineering practices - Get deeply involved in
AI / AI agent
initiatives and bring them into a real enterprise product - Join a company that invests heavily in
learning, training, and professional development
, with a strong focus on health, diversity, and work–life balance
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