About Us

At Money Forward, we are dedicated to transforming financial services using advanced technology. With over 50 services for individuals and businesses, including popular products like Money Forward ME and Money Forward Cloud, we help make managing money easier. We use cutting-edge “account aggregation” technology to gather user data, turning it into useful insights for our customers.

As announced in "Money Forward AI Vision 2026," we view AI utilization not as an option, but as a prerequisite for sustainable enterprise growth. Guided by executive leadership, we are accelerating an all-in AI shift across the entire company.

Rather than treating AI merely as an efficiency tool for existing tasks, we fundamentally ask, "How should this process exist in the first place?" to reconstruct products and workflows optimized for the AI era. Powered by a rich, active user base and vast datasets, we strictly practice AI-driven development engineered backward from maximum user value. Internally, we actively integrate generative AI tools into our development environments, driving radical productivity gains and rapid product iterations.

We are looking for motivated engineers and product team members who want to embrace new technologies without fear of failure in this period of global trial and error—and who are truly passionate about building high-impact AI services grounded in massive real-world data.

Overview

We are looking for an experienced Engineering Manager to lead our Data Platform team, responsible for building and operating scalable, reliable, and cost-efficient data infrastructure. This role combines technical leadership, people management, and platform strategy to enable data-driven products and analytics at scale.

You will lead a team of engineers building high-volume data pipelines, real-time streaming systems, and data warehouse solutions, while partnering closely with product, analytics, and infrastructure teams.

Responsibilities and Duties

• Manage and lead a team of 4–8 engineers, providing guidance, mentorship, and support to foster professional growth.
• Develop and maintain a high-performing and motivated engineering team.
• Establish and communicate clear team goals, expectations, and deliverables.
• Maintain a ratio of 7:3 between team and technical management, ensuring a balance between leadership and hands-on technical contributions.
• Drive design and implementation of robust data pipelines, ingestion frameworks, and transformation systems.
• Define and enforce best practices for data modeling, data quality, schema management, and performance optimization.
• Ensure high availability, scalability, and reliability of data systems handling large-scale workloads.
• Define and manage SLAs/SLOs for data pipelines (freshness, latency, accuracy).
• Translate business requirements into scalable and maintainable data platform designs.
• Drive cloud infrastructure strategy for data platform (cost optimization, scalability, performance).
• Evaluate and adopt new tools and technologies aligned with platform strategy.
• Ensure data governance, security, and compliance requirements are met.
• Manage project timelines, priorities, and resource allocation to ensure timely delivery.

Required Skills and Experience

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• At least 3+ years of engineering management experience.
• At least 5+ years of hands-on experience building and operating high-volume data platforms.
• Prior experience in a high-scale SaaS or data-intensive product company.
• Strong programming background (e.g., Python, Java, Scala, or Go).
• Strong hands-on experience with:
  • Data pipelines (batch and streaming)
  • ETL/ELT frameworks
  • Data warehouses and OLAP systems
  • Real-time streaming (Kafka Streams, Flink, Spark Streaming or similar)
• Experience with tools such as:
  • Apache NiFi, Kafka, RabbitMQ
  • ClickHouse, Snowflake (or similar)
• Experience working with cloud platforms (AWS, Azure, etc.).
• Deep understanding of distributed systems and data architecture patterns.
• Experience in designing scalable, fault-tolerant, and high-throughput systems.

Preferred Skills and Experience

• Experience with:
  • Data lake/lakehouse architectures (e.g., Delta Lake, Iceberg)
  • Workflow orchestration tools (Airflow, Dagster, Argo)
• Knowledge of data security and compliance (GDPR, SOC2, etc.).
• Experience supporting ML/AI data pipelines and feature engineering workflows.
• Experience implementing data quality, lineage, and governance frameworks.
• Experience building internal data platforms as a product (self-serve data platforms).
• Experience in AI development and/or experience in using AI tools to improve development processes.
  • Money Forward is at a major turning point, shifting "from Cloud to AI." We are currently driving "AX (AI Transformation)"—the next step beyond DX—with the goal of providing "Digital Workers," where AI agents autonomously execute tasks. As we enter a phase of evolving into Japan's No. 1 back-office AI company by integrating AI agents into all of our products in the future, we are looking for individuals who can contribute to AI-driven development and value creation.(More information here)

Language Requirements

• English: Business level (TOEIC 700 or above, or equivalent English communication proficiency)
• Japanese: Conversational and above preferred

*Note: Please consult with us if you have certifications or experience other than TOEIC that demonstrate your English proficiency.
Examples: Eiken Grade Pre-1, Eiken Grade 2 (Eiken CSE score 1950 or above), TOEFL iBT 60 or above, IELTS 5.0 or above, Cambridge English Qualifications B2 First (FCE), etc.

Technology Stack

Core Technology Stack
・Languages: Kotlin, Java (Strong experience required)
・Cloud Platform: AWS
・Orchestration & Containers: Kubernetes, Docker (Containerization)
・API / Communication: REST, gRPC, API Gateways (Rate limiting, Auth)
・Messaging & Streaming: Kafka, RabbitMQ
・Architecture: Microservices, Event-driven Architecture, Distributed Systems

DevOps & Infrastructure
・CI/CD: CI/CD Pipelines (Best practices in testing and deployment)
・Observability (Good to Have): Prometheus, Grafana, OpenTelemetry (Monitoring, Logging, Tracing)
・Service Mesh (Good to Have): Istio, Linkerd
・Security: Authentication, Authorization, Secrets Management

Work Environment

At Money Forward, we provide an environment where we can create world-class services together, and we are looking forward to welcoming you.

• Provided PC Specs: We provide PCs equipped with the latest CPUs (MacOS or Windows). Custom-made PCs tailored to business requirements and replacements with the latest OS are also possible.
• Systems to Enhance the Development Environment: Peripheral devices necessary for work (such as displays, mice, keyboards) can be purchased as office supplies. Generally, you can choose from standard products (catalog), and if conditions are met, you can apply for non-standard products as well. (*Excluding certain group companies)
• Money Forward Library: We have a library system where you can freely borrow books, ranging from technical books to management books. Desired books can be purchased at the company's expense.
• Referral Driven: We cover the cost of recruitment meals. There is a referral reward system.
• Conference Participation Support: The company partially covers participation in domestic and international conferences, such as RubyKaigi and Google I/O.

職種 / 募集ポジション Engineering Manager (Data Platform), Money Forward X_Tokyo 雇用形態 正社員 給与 年収 6408000–11004000 JPY / YEAR

Monthly salary system
※Includes fixed allowances for up to 45 hours of legal overtime, legal holiday work, and 40 hours of late-night work.

勤務地

• 108-0023  21F Tamachi Station Tower S, msb Tamachi, 3-1-21 Shibaura, Minato-ku, Tokyo
  地図で確認

Salary System

<Salary Range>
Min 534,000 JPY / month（6,408,000 JPY / year）〜 917,000 JPY / month（11,004,000 JPY / year）
Each including fixed allowances of 155,489 JPY〜266,988 JPY / month.

Bonus

A「High Performance Bonus」may be paid to employees who receive high evaluations based on semi-annual evaluations in addition to their salary.
※Please note that the remuneration of the High Performance Bonus is subject to change according to the company's performance.

Probation Period

3 months from join date

Working Hour System

Discretionary Labor System for Professional Work
※Conditions apply; subject to change to Flextime System.

Working Hours

9:30 - 18:30 (60 min break) are the basic working hours. However, employees are able to choose their working hours at their own discretion.
※There is potential for overtime work outside the determined hours.

Work Style Policy

Hybrid work style
・As a standard practice, employees are required to work at the office a minimum of 2 days per week. Employees are encouraged to spend 3 or more days in the office. (This policy may be subject to change based on the company and job circumstances)
・The specific "team office days" may vary depending on the assigned team.

Holidays/Vacations

■ Saturdays / Sundays / Japanese national holidays
■ Paid holidays
■ Summer holidays (3 days)
■ Winter holidays (2 days)
■ Year-end and New Year’s holidays (Dec 31st～Jan 3rd)

Benefits

■ Various social insurances (employee pension, health insurance, employment insurance, industrial accident compensation insurance)
■ Neighborhood housing allowance and neighborhood moving allowance
■ Salary-based rent deduction benefit 
■ Health check and gynecological checkup
■ Influenza vaccine
■ Book purchases support
■ Defined-contribution corporate pension 
■ Employee stock ownership plan
■ Preferential treatment when using the following services（limited to businesses under contract with Money Forward）
　- Rental agency
　- Housekeeping services
　- Babysitting
　- Online English conversation school

Selection Process１

Casual interview/Document Screening
↓
First interview (Depending on the position, there may be a technical assignment before the interview.)
↓
Several interviews (The number of interviews depends on the position. We will request you to take an aptitude assessment.)
↓
Final interview (We may ask for a reference check before or after the interview.)
↓
Job offer/Offer meeting

※The process may be subject to change depending on the case.

■ About the Aptitude Test
It is a simple web-based survey taking around 20 minutes to complete.

Selection Process２

■ What are reference checks?
Money Forward may ask for your cooperation with reference checks using a reference check service tool. We believe that mutual understanding is limited to the selection process alone. Therefore, we would like to gather information about you from your supervisor and colleagues at your current or former company to ensure a more reliable match and facilitate your early success after joining our company.
※We do not make employment decisions based solely on the contents of reference checks. 
※The fact that you are in the selection process with us will not be disclosed to referees.

Notes

・Range of change in job description: Work as determined by the company
・Range of change in work location: Work location as determined by the company

Reference Information

https://recruit.moneyforward.com/#introduction

会社情報 会社名 株式会社マネーフォワード 代表者

代表取締役社長グループCEO 辻 庸介

創業

2012年5月

取締役

金坂 直哉
中出 匠哉
竹田 正信
石原 千亜希

社外取締役

安武 弘晃
宮澤 弦
Ryu Kawano Suliawan
菊間 千乃
芦田 健
上田 梨々子

監査役

畠山 優実
田中 克幸
西山  茂

グループCxO・VPox

上利 陽太郎
瀧 俊雄
山田 一也
坂 裕和
松岡 俊
伊藤 セルジオ 大輔
関田 雅和
松久 正幸
野村 一仁
長尾 祐美子
金井 恵子
梅田 康吉
丸山 嘉伸

執行役員

田平 公伸
本川 大輔
冨山 直道
永井 博	
駒口 哲也
廣原 亜樹
島村 誠一郎
永井 七奈
木村 慎治
吉本 憲文
工藤 裕之
島内 広史
小山 幸宏
渡辺 恵伍
松村 道夫
岩崎 大
渋谷 亮

オフィス

本社オフィス
〒108-0023　東京都港区芝浦3-1-21 msb Tamachi 田町ステーションタワーS 21F


北海道支社
〒060-0061　北海道札幌市中央区南一条西4-5-1 札幌大手町ビル3階

東北支社
〒980-0021 宮城県仙台市青葉区中央2-2-10 仙都会館 5F

東海支社、名古屋開発拠点
〒450-6213　愛知県名古屋市中村区名駅4-7-1 ミッドランドスクエア 13F

京都支社、京都開発拠点
〒604-8004　京都府京都市中京区三条通河原町東入中島町78番地 明治屋京都ビル 4階

関西支社、大阪開発拠点
〒541-0042　大阪府大阪市中央区今橋 2-5-8 トレードピア淀屋橋 9階

広島支社
〒730-0015　広島市中区橋本町9-7 ビル博丈5F

九州・沖縄支社、福岡開発拠点
〒810-0041　福岡県福岡市中央区大名2丁目6-50　福岡大名ガーデンシティ 16F

社内コミュニケーション活性化の取り組み

■全社週次/月次朝会/半期総会
■代表との意見交換会（CEOセッション）
■全社懇親会（MF Happy Hour）
■他部門社員との交流会（シャッフルランチ・ディナー）
■上長との定期1on1（ツキイチ面談）
■社内公募制度（MFチャレンジシステム）
■社員満足度調査（MFグループサーベイ）
※一部正社員のみ

労働条件

屋内原則禁煙（喫煙室あり）等

中途採用比率

2021年11月末　93.8％
2022年11月末　90.0%
2023年11月末　76.6％
2024年11月末　88.7%