Engineering Manager (AI)

Role Overview

Engineering Manager (AI) is responsible for managing and leading Money Forward's India based AI teams with the company's global AI organization.

You will be working closely with global leadership to align with company wide AI mission and lead the team in India for execution of the global direction. This position is designed for a candidate that can combine leadership and architectural level decision making to support the company's AI capabilities.

This role is focused on strategic people leadership, encompassing recruitment, performance evaluation, and cross-regional functional collaboration. A core responsibility is ensuring that engineers effectively contribute to the missions and projects defined by regional coordination, working closely with stakeholders.

About the Role

Money Forward is building a global AI organization across Japan, Vietnam, and India, and we're looking for a Regional AI Manager to lead and develop our India based AI teams.

In this role, you'll help shape the future of AI engineering at Money Forward by supporting our team in India, strengthening collaboration with Japan, and ensuring successful project execution under the company's global AI mission.

Key Competencies

• Leadership and team development in a multi cultural, virtual setup.
  
• Understanding of AI/ML workflows, project management, and engineering collaboration.
  
• Excellent communication and coordination skills.
  
• Strong organizational and documentation discipline
  
  

Requirements

Key responsibilities

• Lead, mentor and develop Money Forward India's AI engineers, data scientists, MLOps and engineers working to support Money Forward AI vision.
  
• Provide technical leadership to the team.
  
• Identify and resolve technical blockers and encourage experimentation and innovation within the India team while maintaining compliance and alignment.
  
• Collaborate withMoney Forward Japan AI divisions and product stakeholders.
  
• Support AI engineering teams in India to deliver assigned projects and capabilities within scope and quality standards.
  
• Coordinate with Money Forward Japan and other regional managers to align evaluation cycles, expectations and feedback criteria.
  
• Partner with HR operations in India and hiring managers to execute recruitment plans for AI roles.
  
• Collaborate with Money Forward Japan to confirm headcount needs, job descriptions and hiring priorities
  
• Oversee end to end hiring operations in India.
  
• Understand engineering team growth areas, career goals and support their professional goals.
  
• Ensure new hires are effectively onboard and introduced to the company's AI organization.
  
• Maintain operational discipline using plan do check act (PDCA) cycle, focusing on continuous improvement and transparency.
  
• Promote retention within engineering teams in Money Forward India.
  
  

Required skills

• 10+ overall years of professional experience in software or product development, including AI engineering.
  
• 8+ years of experience in team management, leading web/product development or AI-related projects.
  
• Proven ability to build and manage high-performing engineering teams across disciplines (backend, data, MLOps, or AI).
  
• Strong background and working experience in AI engineering, data science, or machine learning.
  
• Experience collaborating with remote or distributed teams (Japan collaboration experience is a plus).
  
• Excellent communication and organizational skills.
  
• Experience managing 5 or more engineers.
  
• Experience being responsible for or having a significant impact on the team's technical decision-making.
  
• Experience with recruiting engineers.
  
• Sufficient development and design experience to understand and promote the resolution of engineers issues.
  
  

Preferred Qualifications

• Prior experience managing AI or ML teams in a product driven environment.
  
• Experience in technical recruiting and talent development programs.
  
• Familiarity with Japanese business culture or prior collaboration with Japanese teams.
  
• Hands-on experience with Python-based ML stacks (PyTorch, TensorFlow, scikit-learn, FastAPI).
  
• Experience with AI/ML observability and monitoring tools.
  
• Understanding of LLM based systems and AI Agent frameworks.