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About the Role

We are building the future of autonomous commerce. As AI agents begin to discover products, compare options, build carts, and initiate purchases on behalf of consumers, the payments layer needs new infrastructure for trust, identity, user intent, authentication, tokenization, fraud signals, and real-time transaction visibility. As Technical Lead in Agentic Commerce Engineering, you will help define and build that infrastructure. This is a hands-on technical leadership role for someone who wants to shape a new capability, influence emerging standards, and build systems that handle real transaction flow on a global scale.

Responsibilities

Lead the design and delivery of secure checkout and payment APIs for AI agent invocation.
Define platform patterns for agent identity, delegated authority, user intent, authentication, tokenization, fraud signals, evidence records, reporting, and downstream payment integration.
Partner with internal teams and external ecosystem participants to shape agent-led payment approaches.
Architect and ship merchant-facing APIs and SDKs with clear contracts, predictable error handling, strong documentation, and excellent developer experience.
Champion developer experience by designing for discoverability, fast time-to-first-transaction, reliable testing, and feedback loops.
Contribute to API governance and platform standards.
Set technical direction for a greenfield agentic commerce squad, balancing speed, interoperability, security, reliability, and long-term platform extensibility.
Provide hands-on leadership through architecture reviews, design decisions, code reviews, mentoring, incident learning, and engineering standards.
Help recruit and develop AI-forward engineers.

Requirements

An opinionated voice to help shape the future of agentic commerce.
Outstanding communication skills and ability to build solid working relationships at all levels.
8+ years of software engineering experience, including architecture and production ownership of distributed services, APIs, or transaction-processing platforms requiring high reliability, security, observability, and operational readiness.
Strong cloud-native engineering experience on AWS, GCP, Azure or comparable public cloud environments.
Practical understanding of AI-agent systems, including how agents use tools, APIs, structured inputs and outputs, delegated permissions, and external services to complete tasks.
Proven technical leadership experience, including architecture ownership, mentoring engineers, leading design reviews, influencing cross-functional teams, and making clear tradeoffs in ambiguous or emerging product areas.
Experience designing API-first platforms with clear contracts, versioning, documentation, testing strategies, predictable error handling, secure integration patterns, and strong developer experience.

Skills

Agentic Commerce
AI Agent Integrations
Checkout and Payment APIs
UCP
ACP
AP2
Agentic Tokens
Delegated Credentials
Verifiable Intent
MPP
Platform Patterns
Agent Identity
User Intent
Authentication
Tokenization
Fraud Signals
Evidence Records
Reporting
Downstream Payment Integration
API & SDK Development
Developer Experience
API Governance
Platform Standards
Technical Leadership
Cloud-Native Engineering
AWS
GCP
Azure
Scalability
Resilience
Deployment
Monitoring
Cost Management
AI-Agent Systems
Tool Usage
API Invocation
Structured Inputs and Outputs
Delegated Permissions
External Services
Safe, Deterministic, and Auditable Payment Flows
Architecture Ownership
Mentoring Engineers
Design Reviews
Cross-functional Team Influence
Tradeoff Analysis
API-First Platforms
API Versioning
API Documentation
API Testing Strategies
Predictable Error Handling
Secure Integration Patterns

Experience Level

8+ years of software engineering experience

About the Company

Globalpayers think like a client, act like an owner and win as one team.
We’re curious and innovative – always finding better ways to deliver impact.
We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.