The Role
Lead and transform a 50-person global QA organization by developing traditional and AI testing strategies, directing performance, scalability, security, and resilience testing, allocating resources, building quality ownership, and mentoring engineers in automation, non-functional testing, and AI validation.
Summary Generated by Built In
About the Role
- We are seeking a Hands-On QA Lead to drive quality across our AI initiatives and lead a team of under 10 QA engineers. This is not a purely administrative management role—you will actively roll up your sleeves, write test strategies, design AI validation methods, and work directly alongside our team on complex AI/ML features.
- You will partner closely with our 2 experienced AI QA engineers to build custom AI testing tools, establish evaluation metrics, and set clear boundaries between traditional and non-deterministic AI testing.
Core Responsibilities
1. Hands-On AI Testing & Strategy (60%)
- Direct AI Participation: Actively join core AI product initiatives to design test strategies, evaluate model responses, and validate data pipelines hands-on.
- Define Test Scopes: Establish clear guidelines differentiating traditional testing (API, UI, functional) from AI testing (hallucinations, model drift, prompt quality, accuracy metrics).
- Build AI Tooling & Infrastructure: Collaborate with existing AI QA engineers to build custom testing tools, synthesize test datasets, and design automated reporting for AI metrics.
2. Team Leadership & Execution (20%)
- Resource Allocation: Assign team members to initiatives, manage capacity, and ensure project milestones are met without burning out the team.
- Mentorship & Process: Establish early bug-prevention processes and upskill traditional QA members into AI and automation testing.
- Cross-Functional Collaboration: Partner directly with Product Managers, Data Scientists, and Developers to refine ambiguous AI requirements early in the discovery phase.
3. Core System & Non-Functional Quality (20%)
- Ensure end-to-end quality standards across API/UI automation, baseline performance, and system reliability alongside AI feature releases.
Requirements
- Hands-On AI Testing Experience: Proven track record of actively testing AI/ML features, building AI test strategies, and defining model performance/accuracy metrics.
- Leadership Experience: 5+ years in QA/Software Engineering, with experience managing or leading small teams (<10 members).
- Tool & Strategy Creation: Experience building testing frameworks, tools, and processes from scratch (not just following existing templates).
- Resource & Capacity Management: Ability to balance resources, estimate effort, and adjust timelines in fast-paced, ambiguous environments.
- Technical Depth: Strong hands-on coding/scripting skills (e.g., Python), deep understanding of API testing, data validation, and AI evaluation techniques.
- Communication: Excellent spoken and written English to align engineering, data, and product teams on technical QA strategies.
Skills Required
- 10+ years of proven experience in QA or software engineering management
- Experience successfully managing large teams of 40–50 or more members
- Strong foundational knowledge of software development, code architecture, and system design
- Strategic expertise in UI and API automation testing
- Strategic expertise in data pipeline and AI model testing, including model drift validation
- Experience directing performance, scalability, and security testing strategies
- Exceptional ownership and proactive problem-solving in ambiguous situations
- Exceptional English communication skills for leading globally distributed teams
Money Forward, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Money Forward, Inc. and has not been reviewed or approved by Money Forward, Inc..
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Healthcare Strength — Health coverage is considered comprehensive, with company-paid checkups, gynecological exams, flu vaccinations, and 24/7 medical advice including telemedicine and house-call options.
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Flexible Benefits — Work flexibility is highlighted through remote work for all employees, flextime or discretionary work systems, and shorter-hours options that support varied needs.
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Equity Value & Accessibility — Equity participation is described as attractive, featuring an employee stock ownership plan with a company incentive equal to 15% of contributions and tax-advantaged savings options.
Money Forward, Inc. Insights
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The Company
What We Do
Money Forward, Inc. is a Japanese SaaS financial technology company that develops personal finance management tools and cloud-based services for individuals, businesses, accounting professionals, and financial institutions. Its platform supports household finance, accounting, tax, expense management, payments, and other back-office operations. The company serves consumer and corporate markets through integrated digital products and aims to operate as a comprehensive technology-driven financial platform.
