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.
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 of over 2,500 colleagues worldwide, serving customers and partners in more than 190 markets.
By simplifying complex financial workflows — from global payments and compliance to multi-currency management, workforce solutions, working capital, and business intelligence — we empower businesses to operate efficiently and grow with confidence.
Role Summary
Location: India
Type: Hybrid / Full-time
We are looking for a Director of AI-Native Engineering — a senior engineering leader who will shape how AI-native development is done at Payoneer. This is not just a team leadership role; it is an opportunity to define the operating model, standards, and architecture for AI-first product development across the organization.
You will lead multiple AI Pods (or a growing org of Pods), set the technical and methodological direction, and work closely with Product and business leaders to translate complex business challenges into scalable AI-native systems. You will balance strategic leadership with strong technical judgment, ensuring high-quality execution while building an organization that can move fast and learn continuously.
Lead, grow, and scale multiple AI-native engineering teams (AI Pods), developing managers and senior engineers
Define and drive the AI-native engineering strategy, standards, and best practices across the organization
Own end-to-end delivery across teams — from problem definition to production — ensuring alignment with business goals
Partner with Product, Design, Data, and business stakeholders to shape high-impact solutions and prioritize initiatives
Establish and enforce high standards for architecture, scalability, reliability, and code quality
Drive adoption of AI-first development methodologies, tools, and workflows across R&D
Build and scale evaluation, monitoring, and observability frameworks as a core part of system design
Act as a senior technical authority — guiding architecture decisions and mentoring engineers and managers
Define and evolve the operating model for AI Pods, including ownership, autonomy, and delivery practices
Build a strong engineering culture focused on accountability, ownership, continuous improvement, and excellence
Hire, develop, and retain top engineering talent, building a high-performing and inclusive organization
Requirements
10+ years of software engineering experience, with a strong track record of building and operating production systems
5+ years of experience leading engineering teams and managers, including scaling organizations and driving cross-team impact
Proven experience defining engineering strategy and leading large-scale, complex initiatives
Hands-on background in backend or full-stack development, with strong architectural skills
Experience building and scaling AI-based systems in production (e.g., agentic systems, orchestration, multi-step workflows)
Strong understanding of evaluation frameworks, metrics, and production monitoring for AI systems
Deep familiarity with modern AI development tools and workflows
Experience working in cross-functional environments with Product, Design, and business stakeholders
Excellent communication skills, with the ability to influence at all levels of the organization
Strong people leadership skills, with a passion for developing leaders and building high-performing teams
High ownership mindset — able to operate in ambiguity, make decisions, and drive execution
Nice to have
Experience in fintech or other regulated environments
Experience with distributed systems, messaging frameworks (Kafka, RabbitMQ, SQS), and cloud-native architectures
Experience building SaaS platforms in microservices environments
Familiarity with frontend technologies (React, Angular)
If this sounds like a mission you want to be part of — we’d love to hear from you.
Payoneer is committed to building a diverse and inclusive workplace. We are an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. Reasonable accommodations are available upon request throughout the hiring process.
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.