QA Lead, Business Applications

About Payoneer

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world's underserved businesses to a rising global economy. We're a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.

At Payoneer, quality is not a final checkpoint. It is an integral part of how teams design, build, and deliver products. This role helps ensure that quality remains a core part of every stage of the development lifecycle.

This position combines leadership with hands-on execution. You will define quality strategies for large cross-functional initiatives, including test scope, coverage, risk assessment, and release readiness criteria. You'll review developer test plans, execute end-to-end and exploratory testing, and oversee post-production validation across complex payment flows, pricing configurations, and service integrations.

Success in this role requires a deep understanding of end-to-end customer experiences, spanning backend services and customer-facing products. You will partner closely with Engineering and Product teams to ensure systems are designed with quality and testability in mind from the start.

As AI continues to transform software development, we are looking for someone who can leverage AI-powered tools to improve testing efficiency, accelerate defect analysis, optimize regression coverage, and enhance overall quality processes. You'll play a key role in shaping how modern quality practices evolve within Payoneer.

What you'll do:

Own the go/no-go recommendation for production releases by assessing testing progress, quality readiness, and overall risk.
Lead end-to-end quality strategy for large cross-team initiatives, from planning and design through production monitoring and validation.
Define test scope, coverage models, risk areas, rollout strategies, and quality KPIs for complex features and programs.
Validate complex business workflows, pricing configurations, customer entitlements, payment journeys, integrations, microservices, and event-driven systems through E2E, regression, exploratory, and API testing.
Use AI tools to accelerate test design, defect triage, regression planning, and coverage analysis while continuously improving team workflows.
Review and approve developer-authored test plans, ensuring sufficient coverage across positive, negative, edge-case, integration, and failure scenarios.
Partner with Engineering and Product teams early in the design process to identify quality risks and improve system testability.
Mentor developers and QA engineers on testing strategy, quality best practices, and automation analysis while helping standardize QA processes across teams.
Monitor production quality, own post-production validation activities, and manage QA-related technical debt.

Who you are:

5+ years of experience in Quality Assurance or Quality Engineering, including experience in a Senior QA or QA Lead role.
Hands-on experience with E2E, regression, exploratory, and API testing across web applications, microservices, event-driven architectures, and complex business systems.
Experience validating complex business workflows, pricing configurations, customer entitlements, and complete customer journeys.
Experience owning quality readiness and release decisions, including production monitoring, post-production validation, and risk-based decision making.
Working knowledge of SQL for data validation and defect investigation, along with experience using tools such as Postman, Swagger, mocking tools, and test management systems.
Strong understanding of Agile/Scrum methodologies and CI/CD practices.
Experience using AI tools to improve test design, scenario generation, defect triage, and regression planning, combined with the judgment to validate AI-generated outputs.
Experience building scalable QA processes, automations, or AI-assisted workflows that improve quality and team efficiency.
Strong communicator and collaborator. You know how to influence stakeholders, challenge assumptions constructively, and build alignment across Engineering, Product, and QA teams. You're comfortable leading initiatives and driving outcomes, even without formal authority.
Self-driven and accountable. You take ownership from start to finish, proactively identify risks, and move initiatives forward with minimal guidance. You work well in fast-changing environments and bring a practical, solution-oriented mindset.

Advantage

Familiarity with automation frameworks and automation-test analysis.
Familiarity with cloud infrastructure and cloud-native architectures.
Experience with MongoDB and RabbitMQ.
Experience in fintech, payments, or other regulated environments.

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The Payoneer Ways of Working

Act as our customer's partner on the inside
Learning what they need and creating what will help them go further.

Do it. Own it.
Being fearlessly accountable in everything we do.

Continuously improve
Always striving for a higher standard than our last.

Build each other up
Helping each other grow, as professionals and people.

If this sounds like a business, a community, and a mission you want to be part of, apply today.

We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.