Payoneervia Greenhouse

Director of AI-Native Engineer

Gurugram, IndiaPosted 10h ago

OtherExecutiveFull-time

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About the Role

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.

What you’ll do

• 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

Who you are

• 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

•

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