Back to JobsDeputy Department Manager, PRE Division Product SRE Department 2, Tokyo
求人概要
Salary
¥7,900,000 - 15,000,000/年
Job Type
正社員
Japanese Level
不要
Category
Tech & Engineering
職務内容
**About the company:** Money Forward Minato-ku, Tokyo Money Forward is a fintech startup delivering tools to visualize and improve both individuals' and companies' financial health. **Responsibilities:** Team Leadership: Manage and mentor a team of Site Reliability Engineers (SREs), fostering a high-performance culture that emphasizes ownership, collaboration, and continuous learning. Provide regular feedback, coaching, and guidance to help engineers grow in both technical and leadership capabilities. Performance Management: Oversee goal setting and regular evaluations for team members, ensuring individual objectives are clearly aligned with department and company goals. Use data-driven metrics to assess performance and adjust priorities, workloads, and support as needed. Career Development: Support engineers in defining their career paths within the SRE domain, advising on skill development, certifications, and stretch assignments. Promote engineering best practices and create an environment where knowledge sharing and experimentation are encouraged. Project Lifecycle Management: Act as the primary project manager for infrastructure, reliability, and technical debt initiatives within your scope. Coordinate across teams to ensure requirements are clear, dependencies are managed, and projects move smoothly from planning to delivery. Execution & Tracking: Ensure timely delivery of complex technical projects by managing resources, timelines, and risks effectively. Regularly track progress, remove organizational or technical blockers, and communicate status to stakeholders in a transparent manner. Budget & Cost Management: Oversee budgeting and cost management for departmental infrastructure and SaaS vendor products such as CI/CD tooling and monitoring platforms. Continuously analyze spend, identify optimization opportunities, and drive cost-effective architecture and tooling decisions. Expectation Management: Partner and negotiate with Product Teams and other stakeholders to balance reliability requirements with feature delivery velocity. Facilitate discussions on trade-offs using clear data and principles, ensuring that reliability, cost, and developer experience are all appropriately considered. Cross-Functional Interface: Serve as a key point of contact and representative for the SRE department in divisional, cross-functional initiatives. Build strong relationships with engineering, product, and business teams to improve alignment, clarify responsibilities, and strengthen overall reliability culture. Requirements Leadership Experience: Demonstrated experience in team leadership, technical leadership, or engineering management, such as managing project timelines, mentoring junior engineers, leading technical initiatives, or conducting regular 1-on-1 meetings. Technical Background: Solid foundational experience in an engineering role such as Infrastructure Engineer, DevOps Engineer, SRE, or Software Engineer sufficient to understand architectural discussions and communicate effectively with engineers. Stakeholder Management: Experience collaborating with cross-functional teams, including Product Management and development teams, to negotiate requirements, align priorities, and manage expectations around reliability and delivery. AI-Driven Productivity Enablement: Hands-on experience integrating AI tools (e.g., GitHub Copilot, LLMs) into engineering workflows. Ability to guide and encourage team members to use AI effectively to increase output, automate routine tasks, and accelerate delivery while maintaining quality and security. Fluent English skills Nice to haves While not specifically required, tell us if you have any of the following. People Management: Direct experience as a formal Engineering Manager, including responsibilities such as performance evaluations, career goal setting, hiring decisions, and team resource planning. SRE Expertise: Familiarity with SRE principles and practices, such as defining and managing SLIs/SLOs, using error budgets in decision-making, running blameless post-mortems, and overseeing incident response processes. Vendor & Cost Optimization: Experience monitoring infrastructure and SaaS spend and driving optimization initiatives, particularly around CI/CD platforms, cloud providers, and monitoring tools. 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. Compensation ¥7,908,000 ~ ¥15,000,000 annually. **Requirements:** Leadership Experience: Demonstrated experience in team leadership, technical leadership, or engineering management, such as managing project timelines, mentoring junior engineers, leading technical initiatives, or conducting regular 1-on-1 meetings. Technical Background: Solid foundational experience in an engineering role such as Infrastructure Engineer, DevOps Engineer, SRE, or Software Engineer sufficient to understand architectural discussions and communicate effectively with engineers. Stakeholder Management: Experience collaborating with cross-functional teams, including Product Management and development teams, to negotiate requirements, align priorities, and manage expectations around reliability and delivery. AI-Driven Productivity Enablement: Hands-on experience integrating AI tools (e.g., GitHub Copilot, LLMs) into engineering workflows. Ability to guide and encourage team members to use AI effectively to increase output, automate routine tasks, and accelerate delivery while maintaining quality and security. Fluent English skills **Nice to have:** While not specifically required, tell us if you have any of the following. People Management: Direct experience as a formal Engineering Manager, including responsibilities such as performance evaluations, career goal setting, hiring decisions, and team resource planning. SRE Expertise: Familiarity with SRE principles and practices, such as defining and managing SLIs/SLOs, using error budgets in decision-making, running blameless post-mortems, and overseeing incident response processes. Vendor & Cost Optimization: Experience monitoring infrastructure and SaaS spend and driving optimization initiatives, particularly around CI/CD platforms, cloud providers, and monitoring tools. 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. **Compensation:** ¥7,908,000 ~ ¥15,000,000 annually.
応募資格
- Leadership Experience: Demonstrated experience in team leadership, technical leadership, or engineering management, such as managing project timelines, mentoring junior engineers, leading technical initiatives, or conducting regular 1-on-1 meetings.
- Technical Background: Solid foundational experience in an engineering role such as Infrastructure Engineer, DevOps Engineer, SRE, or Software Engineer sufficient to understand architectural discussions and communicate effectively with engineers.
- Stakeholder Management: Experience collaborating with cross-functional teams, including Product Management and development teams, to negotiate requirements, align priorities, and manage expectations around reliability and delivery.
- AI-Driven Productivity Enablement: Hands-on experience integrating AI tools (e.g., GitHub Copilot, LLMs) into engineering workflows. Ability to guide and encourage team members to use AI effectively to increase output, automate routine tasks, and accelerate delivery while maintaining quality and security.
- Fluent English skills