VP of Engineering

Enterprise Retail Platform | AI-Native Engineering | Global Scale

We’re partnered with a global enterprise retail technology organization undergoing a major platform and engineering transformation across one of the largest retail commerce ecosystems in the world.

This is a critical executive leadership role responsible for leading a large-scale global engineering organization across cloud infrastructure, edge/store systems, payments, and customer-facing retail platforms.

The business already operates at an enormous scale across global retail environments, supporting high-volume, mission-critical commerce systems used daily by some of the world’s largest retailers.
They are now investing heavily into the next generation of platform engineering, AI-enabled software development, and operational modernization — and this role sits at the center of that evolution.

This is not a traditional engineering management role.

The mandate is to build a world-class engineering system that improves velocity, reliability, customer outcomes, and engineering efficiency simultaneously.

What You’ll Own

• End-to-end engineering delivery across a global retail platform ecosystem
• A 400 global engineering organization spanning platform, cloud, store-edge, and customer deployments
• Engineering velocity, operational reliability, and deployment performance
• AI-native software development and engineering automation initiatives
• Platform consistency and scalability across large enterprise customer environments
• Executive engineering leadership for strategic customer programs
• Engineering economics, efficiency, and operational scalability

What Makes This Role Interesting?

Massive Real-World Scale
This platform operates in highly complex retail environments where software reliability directly impacts real-world commerce operations at a global scale.

AI-Native Engineering Transformation
The company is aggressively investing in AI-assisted development workflows, automation, and engineering acceleration. This leader will play a major role in defining how AI changes software delivery across the organization.

Cloud Edge Complexity
This is not purely SaaS infrastructure. The environment spans cloud systems, store-edge deployments, payments, POS infrastructure, and customer-managed environments — creating genuinely difficult engineering and operational challenges.

Executive Visibility & Impact
This role sits at the center of engineering execution, platform reliability, and customer delivery across the broader software organization.

Modern Engineering Mandate
The focus is not simply “ship faster.” The expectation is to improve:

• Delivery velocity
• Reliability
• Production stability
• Platform consistency
• Engineering efficiency
• Customer outcomes

…all at the same time.

What You’ll Be Focused On:

Engineering Execution & Delivery

• Drive high-velocity software delivery across global engineering teams
• Improve deployment frequency and release confidence
• Establish strong production readiness and release governance
• Reduce change failure rates and operational instability

Reliability & Platform Integrity

• Improve uptime, resilience, and platform consistency
• Ensure stable performance across highly diverse retail environments
• Balance rapid delivery with operational excellence

AI-Driven Development

• Introduce AI-native engineering workflows across the SDLC
• Drive measurable improvements in engineering throughput and productivity
• Scale automation across development, testing, and operational workflows

Customer & Retail Operations Alignment

• Align engineering priorities to real-world retail operational outcomes
• Partner closely with customer and delivery leadership on major deployments
• Act as senior engineering authority on strategic enterprise programs

Organizational Leadership

• Lead and scale a large global engineering organization
• Build operational discipline, accountability, and execution rigor
• Create a culture focused on measurable engineering outcomes

What They’re Looking For

• Deep experience leading large-scale software engineering organizations
• Proven ownership of distributed, customer-facing platforms operating at enterprise scale
• Experience balancing engineering speed with operational reliability
• Background in complex cloud and edge deployment environments
• Experience driving engineering transformation initiatives
• Strong executive presence with enterprise customers and senior leadership
• Exposure to AI-enabled software development workflows and engineering automation

Particularly Relevant Backgrounds

• Retail technology
• POS and payments infrastructure
• Enterprise SaaS platforms
• Distributed systems
• Commerce platforms
• Edge computing environments
• Mission-critical enterprise infrastructure
• Hybrid cloud/customer-managed deployments

Why This Opportunity Stands Out

This is a rare opportunity to lead engineering transformation inside a global technology organization with:

• Massive enterprise scale
• Real operational complexity
• Significant investment in AI and platform modernization
• Executive sponsorship for change
• A globally recognized customer footprint

The right leader will have the opportunity to redefine how engineering operates across a large-scale retail technology platform used by some of the biggest brands in the world.