Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Experienced area / job

Big Data Deep Learning Machine Learning

Management/System project Experience

Project Management Others

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Business

Preferred

No Data

Job Description

【Company Overview】
The company leverages cutting-edge Generative AI and Large Language Model (LLM) technology to drive corporate transformation.

Its primary strength lies in the technical capability to develop domestic LLMs from scratch. In May 2024, the company released a Japanese-specialized LLM with 100 billion parameters, making it one of the largest in Japan.

While many firms limit themselves to fine-tuning overseas models or utilizing open-source software (OSS), the company designs and builds its models from the ground up. The resulting performance is optimized for the Japanese language and business domains, boasting a standard that is among the highest for domestic models. Furthermore, it significantly reduces hallucinations and allows for safe operation under internal management.

Rather than being a mere "user of Generative AI," the company aims to be a "creator of AI," supporting Japan's industrial competitiveness through technology.

Leveraging this technical prowess, the company currently operates two main business lines: a SaaS business providing AI agents for the manufacturing industry, and a new PaaS business serving as a platform to support the implementation of operational AI.

Since its founding, the company has targeted enterprise clients and has already seen adoption by over 300 companies, including 30% of the Nikkei 225. Moving forward, the company plans to expand from manufacturing R&D to domestic enterprises, the broader Japanese market, and eventually global corporations.

In October 2024, the company completed a Series D funding round of 4.5 billion JPY, bringing its total funding to 8.8 billion JPY. With a workforce that has grown to approximately 150 employees, the company is now recruiting new talent to drive further growth.

【Current Challenges】
In June 2024, the company released a new business platform designed to support corporate integration of Generative AI. This AI implementation infrastructure, which utilizes a proprietary Japanese LLM and high-precision Agentic RAG, is currently being deployed across enterprise-level organizations.

While the product serves as a standardized foundation, it is designed with the premise of being customized to meet specific client business requirements and existing system environments. Consequently, there is a growing volume of projects ranging from PoCs and production launches to RAG optimization and AI agent construction.

To adapt to each company's operational environment while maintaining product scalability, it is essential to balance technical decision-making with robust project management. The organization is seeking a Technical Project Manager (TPM) to play a central role in this mission.

【Your Role】
With a mission to solve client business challenges, you will lead DX (Digital Transformation) promotion projects for enterprise companies utilizing the company’s Generative AI implementation infrastructure.

The role involves participating from the proposal phase to drive the assessment of technical feasibility, architectural design, and the formulation of implementation roadmaps, taking into account client business challenges and existing system environments. While collaborating with consultants and engineers, the individual will drive the process end-to-end from requirements definition to production launch, balancing product scalability with adaptation to unique client environments.

Furthermore, you will provide feedback to the product team based on insights gained through projects, contributing to the advancement of Generative AI utilization and the scaling of the business.

■Responsibilities
・Advancing enterprise projects utilizing Generative AI, LLMs, and RAG.
・Technical investigation, technical consulting, and PoC planning/promotion during the proposal phase.
・Organizing technical and system requirements based on client business challenges and existing system environments.
・Determining technical feasibility and designing implementation architectures.
・Developing implementation roadmaps and formulating project plans.
・Project management (QCD management) in collaboration with engineers and consultants.
・Technical client negotiations, including scope adjustment and expectation management.
・Project management from PoC through to production launch.
・Providing feedback for product improvement based on insights gained through projects.
*Scope of changes: General development-related operations.

【Team Composition】
PaaS SAT Division
・Business Side: 13 members
・Development Side: 19 members

【Development Environment】
Languages / Frameworks: TypeScript, Vue.js, Node.js, Python
Containerization: Docker
Infrastructure as Code (IaC): Terraform
Cloud Platforms: AWS, Azure

【Position Highlights】
・Leading AI implementation projects that move Generative AI beyond the PoC stage to establish it as critical business infrastructure within enterprise environments. Rather than handling isolated projects, the role involves providing continuous value through the utilization of a core product platform.

・Driving technical decision-making and architectural design for Generative AI integration within the core operations of major domestic manufacturing firms and other large enterprises. This role is not merely about progress management; it is about making key decisions at the intersection of technology and business.

・Abstracting insights gained from individual projects to influence the evolution of the SAT platform. The role goes beyond outsourced development, allowing involvement in creating mechanisms that can be scaled across the product horizontally.

・Taking a central role in advancing corporate Generative AI utilization at an implementation level by driving the entire process from proposal and design to deployment. This position offers the experience of leading the real-world social implementation of AI technology.

Required Skills and Experiences

【Required】 *Meet all of the following ・3+ years of project management experience in system development projects. ・Experience driving end-to-end projects, from requirements definition and design to development and implementation. ・Experience in stakeholder management, including requirements organization and specification adjustments with clients. ・Foundational understanding of system architecture and cloud environments. ・Experience driving technical decision-making in collaboration with engineers. 【Preferred】・Knowledge of or project experience in AI, Machine Learning, LLM, or RAG. ・Experience in system implementation utilizing cloud environments (AWS, GCP, or Azure). ・Experience in system implementation projects for enterprise-level companies. ・Experience driving projects from the PoC stage through to production launch. ・Experience driving projects at consulting firms or System Integrators (SIers). 【Ideal Applicants】・Strong interest in enterprise transformation and the social implementation of Generative AI, with a high motivation to take on challenges in new technical domains. ・Ability to understand both technology and business, taking a proactive lead in decision-making and driving projects forward. ・Capacity to logically analyze and derive next steps for highly uncertain issues by organizing complex information effectively. ・Skill to involve diverse stakeholders—including clients, engineers, and internal parties—to facilitate consensus building. ・Ability to structure complex business challenges and translate them into actionable, technology-driven solutions. 【Others】・Able to reside in Japan ・Able to communicate fluently in Japanese, including on technical development matters *Required level: Business or higher

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Working Condition

【Holidays and Vacations】
・Annual Holidays: 123 days
・Weekends and Holidays: Fully managed two-day weekend system (Saturdays, Sundays, and National Holidays)
・New Year’s Holiday
・Paid Leave: Granted upon joining the company (*The number of days granted depends on the month of enrollment)
・Maternity Leave (Pre-natal and Post-natal)
・Childcare Leave

【Insurance】
Full social insurance coverage (The company is a member of the Kanto IT Software Health Insurance Association)

【Others】
・Commuting allowance (reimbursed as actual costs due to remote work)
・Growth acceleration allowance (subsidies for self-improvement and AI utilization; up to 240,000 JPY per year can be claimed as expenses)
・Periodic health checkups
・Influenza vaccination
・Provision of preferred PC
・Free beverages provided in the office (water, coffee, sparkling water, alcohol, etc.)
・Office Glico (snack service) available
・Indoor non-smoking policy (designated outdoor smoking areas available)

【Education and Skill Development】
・Onboarding: A five-day onboarding program is provided upon joining the company.
・Monthly Research Day: A dedicated monthly research day is established for the purpose of self-improvement and technical learning.

【Internal Communication】
・Weekly All-Hands Online Meeting
・Monthly Social Gathering: Held once a month (primarily offline, with some online participation options).
・Semi-Annual Kickoff: Held twice a year as a hybrid event (combining online and offline formats).

RECRUITMENT PROCESS

Document screening → 2-3 interviews → informal offer

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

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Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Top-Selling Points

Rate of Foreigners
Less Than

Frequency of English Usage
Less Than

Related Skills

Experienced area / job

Big Data Deep Learning Machine Learning

Management/System project Experience

Project Management Others

Language Requirements

Required

Preferred

Language Requirements

Required

Japanese: Business

English: Business

Preferred

No Data

Job Description

【Company Overview】
The company leverages cutting-edge Generative AI and Large Language Model (LLM) technology to drive corporate transformation.

Its primary strength lies in the technical capability to develop domestic LLMs from scratch. In May 2024, the company released a Japanese-specialized LLM with 100 billion parameters, making it one of the largest in Japan.

While many firms limit themselves to fine-tuning overseas models or utilizing open-source software (OSS), the company designs and builds its models from the ground up. The resulting performance is optimized for the Japanese language and business domains, boasting a standard that is among the highest for domestic models. Furthermore, it significantly reduces hallucinations and allows for safe operation under internal management.

Rather than being a mere "user of Generative AI," the company aims to be a "creator of AI," supporting Japan's industrial competitiveness through technology.

Leveraging this technical prowess, the company currently operates two main business lines: a SaaS business providing AI agents for the manufacturing industry, and a new PaaS business serving as a platform to support the implementation of operational AI.

Since its founding, the company has targeted enterprise clients and has already seen adoption by over 300 companies, including 30% of the Nikkei 225. Moving forward, the company plans to expand from manufacturing R&D to domestic enterprises, the broader Japanese market, and eventually global corporations.

In October 2024, the company completed a Series D funding round of 4.5 billion JPY, bringing its total funding to 8.8 billion JPY. With a workforce that has grown to approximately 150 employees, the company is now recruiting new talent to drive further growth.

【Current Challenges】
In June 2024, the company released a new business platform designed to support corporate integration of Generative AI. This AI implementation infrastructure, which utilizes a proprietary Japanese LLM and high-precision Agentic RAG, is currently being deployed across enterprise-level organizations.

While the product serves as a standardized foundation, it is designed with the premise of being customized to meet specific client business requirements and existing system environments. Consequently, there is a growing volume of projects ranging from PoCs and production launches to RAG optimization and AI agent construction.

To adapt to each company's operational environment while maintaining product scalability, it is essential to balance technical decision-making with robust project management. The organization is seeking a Technical Project Manager (TPM) to play a central role in this mission.

【Your Role】
With a mission to solve client business challenges, you will lead DX (Digital Transformation) promotion projects for enterprise companies utilizing the company’s Generative AI implementation infrastructure.

The role involves participating from the proposal phase to drive the assessment of technical feasibility, architectural design, and the formulation of implementation roadmaps, taking into account client business challenges and existing system environments. While collaborating with consultants and engineers, the individual will drive the process end-to-end from requirements definition to production launch, balancing product scalability with adaptation to unique client environments.

Furthermore, you will provide feedback to the product team based on insights gained through projects, contributing to the advancement of Generative AI utilization and the scaling of the business.

■Responsibilities
・Advancing enterprise projects utilizing Generative AI, LLMs, and RAG.
・Technical investigation, technical consulting, and PoC planning/promotion during the proposal phase.
・Organizing technical and system requirements based on client business challenges and existing system environments.
・Determining technical feasibility and designing implementation architectures.
・Developing implementation roadmaps and formulating project plans.
・Project management (QCD management) in collaboration with engineers and consultants.
・Technical client negotiations, including scope adjustment and expectation management.
・Project management from PoC through to production launch.
・Providing feedback for product improvement based on insights gained through projects.
*Scope of changes: General development-related operations.

【Team Composition】
PaaS SAT Division
・Business Side: 13 members
・Development Side: 19 members

【Development Environment】
Languages / Frameworks: TypeScript, Vue.js, Node.js, Python
Containerization: Docker
Infrastructure as Code (IaC): Terraform
Cloud Platforms: AWS, Azure

【Position Highlights】
・Leading AI implementation projects that move Generative AI beyond the PoC stage to establish it as critical business infrastructure within enterprise environments. Rather than handling isolated projects, the role involves providing continuous value through the utilization of a core product platform.

・Driving technical decision-making and architectural design for Generative AI integration within the core operations of major domestic manufacturing firms and other large enterprises. This role is not merely about progress management; it is about making key decisions at the intersection of technology and business.

・Abstracting insights gained from individual projects to influence the evolution of the SAT platform. The role goes beyond outsourced development, allowing involvement in creating mechanisms that can be scaled across the product horizontally.

・Taking a central role in advancing corporate Generative AI utilization at an implementation level by driving the entire process from proposal and design to deployment. This position offers the experience of leading the real-world social implementation of AI technology.

Required Skills and Experiences

After sign up, you can browse all information.

If you already have a GitTap Account, please login.

Working Condition

【Holidays and Vacations】
・Annual Holidays: 123 days
・Weekends and Holidays: Fully managed two-day weekend system (Saturdays, Sundays, and National Holidays)
・New Year’s Holiday
・Paid Leave: Granted upon joining the company (*The number of days granted depends on the month of enrollment)
・Maternity Leave (Pre-natal and Post-natal)
・Childcare Leave

【Insurance】
Full social insurance coverage (The company is a member of the Kanto IT Software Health Insurance Association)

【Others】
・Commuting allowance (reimbursed as actual costs due to remote work)
・Growth acceleration allowance (subsidies for self-improvement and AI utilization; up to 240,000 JPY per year can be claimed as expenses)
・Periodic health checkups
・Influenza vaccination
・Provision of preferred PC
・Free beverages provided in the office (water, coffee, sparkling water, alcohol, etc.)
・Office Glico (snack service) available
・Indoor non-smoking policy (designated outdoor smoking areas available)

【Education and Skill Development】
・Onboarding: A five-day onboarding program is provided upon joining the company.
・Monthly Research Day: A dedicated monthly research day is established for the purpose of self-improvement and technical learning.

【Internal Communication】
・Weekly All-Hands Online Meeting
・Monthly Social Gathering: Held once a month (primarily offline, with some online participation options).
・Semi-Annual Kickoff: Held twice a year as a hybrid event (combining online and offline formats).

RECRUITMENT PROCESS

Document screening → 2-3 interviews → informal offer

Business (description what they do)

Recruiting business specializing in job change support for foreign IT personnel

Available Jobs in (G Talent)

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