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Salary
$96k – $765k per year
Location
Remote/Hybrid (Japan)
Seniority
Staff
Employment
Full-Time
Overview
Company
Impact
Profile match
Money Forward is a leading Japanese financial technology company that develops personal financial management applications and cloud-based corporate software. The firm offers comprehensive SaaS platforms for accounting, payroll, and expense management that cater primarily to small and medium-sized enterprises. By automating back-office workflows and aggregating diverse financial data, the organization helps individuals and businesses streamline their operations and gain greater visibility into their financial health.

Only applicants residing in Japan are eligible to apply.

Overview

This role sits within Money Forward’s company-wide AI & data strategy organization (CDAO Office). In the Financier domain in particular (financial services / credit), you will lead the technical strategy and execution of an ML platform.

You will be responsible for end-to-end technical decision-making for designing a secure and efficient foundation to leverage large-scale financial transaction data, and for the technical direction of product implementation.

Background

To advance decision-making using Money Forward’s vast financial data (e.g., credit assessment), the platform side is held to an extremely high bar:

  • Large-scale transaction processing: Build data pipelines that can process data at the scale of tens of millions of users without loss and with low latency, and supply it to products.
  • Financial-grade governance and security: Build an architecture that ensures explainability and auditability at the code level, aligned with the Financial Services Agency’s model risk management principles and international AI ethics principles.
  • Company-wide technical standardization: Define a reusable, cross-company MLOps environment while meeting product-specific requirements, and make technology choices that maximize development efficiency.

Responsibilities and Duties

You are expected to lead the direction of products and technology based on strong technical expertise.

  • Define the ML platform technical strategy and roadmap
    • Translate business requirements into technical specifications and decide medium-to-long-term architectural direction.
  • Design and oversee large-scale data engineering
    • Design data pipelines for high-traffic environments using Databricks and AWS, with performance considerations.
  • Define implementation policies for governance and security
    • Establish “Security by Design,” including IAM/permission design, and build a foundation that balances security with operational ease.
  • Drive technical alignment with stakeholders
    • Coordinate and prioritize with Engineering, Legal, Compliance, and Business teams based on technical validity.

Required Skills and Experience

  • Software engineering experience (approx. 5+ years)
    • Design, development, and operations experience in backend, infrastructure, and/or data platforms.
  • Technical leadership experience
    • Experience taking responsibility for architecture selection and technical decision-making as a tech lead or PM.
  • Data engineering expertise
    • Proven results building large-scale datasets (ETL/DWH/data lakes) and performance tuning.
  • Strong documentation skills
    • Ability to clearly articulate complex technical specifications and design rationale for stakeholders.

Preferred Skills and Experience

  • Hands-on MLOps experience
    • Building deployment/operation flows using Amazon SageMaker and/or Databricks.
  • Financial domain knowledge
    • Experience building systems aligned with credit/risk measurement and FISC security guidelines.
  • Product management track record
    • Roadmap management that maximizes product value within technical constraints.

Language Requirements

  • Business level Japanese (equivalent to JLPT N2 or above)
  • Basic business level English (equivalent to TOEIC 700 or above)
    • If you do not have a qualification equivalent to TOEIC 700 or above, you will be required to take a company-designated test during the selection process.
    • If you have other qualifications or experiences that demonstrate your English proficiency, please let us know.
      • Examples include Eiken Pre-1st Grade, Eiken 2nd Grade (Eiken CSE Score 1950 or above), TOEFL iBT 60 or above, IELTS 5.0 or above, Cambridge English FCE, etc.

※Please note that the interviews in the selection process will be conducted in Japanese.

Who We’re Looking For

  • Strong resonance with Money Forward's vision
  • Passionate about being a fan of our services and contributing to their growth
  • Able to find practical optimal solutions balancing business growth and governance, not only technical ideals.
  • Can frame regulations and security requirements as design considerations, and enjoy solving constraints-driven problems.
  • Takes end-to-end responsibility-from technology selection to operations-and continuously improves.

Technology Stack

  • Platform: AWS (SageMaker, Lambda, ECS, S3, etc.), Databricks
  • Data: Python (FastAPI, etc.), SQL, Apache Airflow / Step Functions
  • DevOps: Terraform, GitHub Actions, CodePipeline
  • Communication: Slack, Notion

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.
  • 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, ML Platform, Tokyo

雇用形態

正社員

給与

年収 10,008,000円 〜 15,000,000円

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

Salary System

Min 834,000 JPY / month(10,008,000 JPY / year)- 1,250,000 JPY / month(15,000,000 JPY / year)

Each including fixed allowances of 242,807 JPY - 363,912 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
  • 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)

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.

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

渋谷 亮

金井 恵子

梅田 康吉

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

丸山 嘉伸

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

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%

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