Head - Technology & AI | E-Commerce | AI Agents | Engineering & Automations

• ## **The Opportunity**
• Ergode builds and scales digital-first businesses across global marketplaces.
• We have made a clear strategic choice: **Technology, Artificial Intelligence and automation will sit at the core of how we scale revenue, improve margins and increase productivity.**
• We are looking for a **hands-on Technology & AI leader** who can convert business problems into working, adopted systems — quickly.
• This is not a traditional IT leadership role.
• You will own the intersection of **business, engineering, AI, automation, data, integrations, infrastructure and security**. You will work directly with the CEO and business leaders to identify high-impact problems, decide what should be built internally versus externally, and ensure solutions move from idea production adoption measurable business outcome.
• Some of our systems need modernization. Some need stronger ownership and architecture. Others need to be replaced or rebuilt. We would rather be transparent about that upfront.
• We need someone who enjoys that challenge.
• # **What You Will Own**
• ## **1. Technology Execution & Delivery**
• You will create an execution culture where technology commitments translate into shipped outcomes.
• You will:
• Run Technology on clear weekly priorities with an owner, deadline and measurable outcome for every major initiative.
• Establish strong engineering execution across product development, integrations, automation, infrastructure and AI.
• Track commitments through completion — not merely development activity.
• Identify blockers early and make fast build/buy/outsource decisions.
• Hold internal teams and external partners accountable for scope, timelines, quality and business outcomes.
• Build clear visibility from:
• **Business Requirement** **Development** **Production** **Adoption** **Business Impact**
• Develop engineers and technology managers into stronger owners and future leaders.
• Create sufficient documentation, architecture standards and ownership so no critical system depends on one employee or vendor.
• ### **Success means:**
• Leadership should never need to repeatedly ask, **“Where is this project stuck and who owns it?”**
• # **2. Business-First Technology Strategy**
• Technology exists to improve business outcomes.
• You will:
• Deeply understand how Ergode makes money across marketplaces, brands and channels.
• Understand marketplace fees, margins, inventory, pricing, advertising, catalogue operations, fulfilment and customer experience.
• Own the Technology & AI roadmap based on impact on:
• Revenue
• Gross margin
• Productivity
• Operating cost
• Speed
• Customer/vendor experience
• Work directly with business heads to identify operational bottlenecks.
• Challenge processes that should be eliminated or simplified before automating them.
• Translate business problems into scalable technology solutions.
• Own technology economics including cloud, AI/token usage, software licences, development and outsourcing.
• Report technology performance to leadership in **business outcomes rather than project activity**.
• # **3. AI, Agents & Intelligent Automation**
• AI is not an innovation project at Ergode. It is becoming part of how the company operates.
• You will:
• Identify high-volume and high-value manual work suitable for AI or automation.
• Build and deploy AI agents and GenAI workflows into **real production environments**.
• Develop reusable AI architecture rather than disconnected experiments.
• Integrate AI into areas including:
• Catalogue and content
• Marketplace listings
• Pricing
• Inventory
• Customer support
• Sales
• Finance
• HR
• Reporting and decision support
• Build with LLM APIs, RAG, agentic workflows, orchestration frameworks and workflow automation.
• Establish before/after baselines for every major automation.
• Measure:
• hours/FTE capacity saved
• cycle-time reduction
• cost reduction
• quality improvement
• revenue/margin impact
• user adoption
• Kill pilots that do not produce value and scale the ones that do.
• Ensure business teams actually adopt what Technology builds.
• ### **We are not looking for:**
• Someone who has attended AI courses or built demos.
• ### **We are looking for:**
• Someone who has **put AI into production and can show what changed because of it.**
• # **4. E-commerce Platforms & Marketplace Technology**
• Our technology must support a complex global marketplace operation.
• You will own and strengthen:
• Marketplace integrations including Amazon SP-API, Walmart, eBay and other channels.
• Catalogue and listing infrastructure.
• Pricing and quantity synchronization.
• Order processing.
• Inventory and warehouse integrations.
• Returns, refunds and reconciliation workflows.
• Marketplace reporting and operational intelligence.
• API reliability and monitoring.
• You will build toward a connected architecture where catalogue, inventory, order and marketplace information flows reliably across systems.
• The goal is not simply integration.
• The goal is **reliable commerce at scale**.
• # **5. Product & Platform Ownership**
• You will take ownership of Ergode’s core internal technology platforms and ensure they become dependable business systems.
• This includes:
• evaluating existing architecture,
• identifying technical debt,
• establishing clear module ownership,
• improving reliability and usability,
• prioritising development based on business value,
• and driving adoption after launch.
• Technology is not complete when code is deployed.
• **A feature is complete when the business can reliably use it and the expected outcome is visible.**
• # **6. Data Foundation & Decision Intelligence**
• AI is only as strong as the underlying data.
• You will:
• Build reliable data flows across business systems.
• Establish clear sources of truth for critical business information.
• Reduce duplicate datasets and manual reconciliation.
• Improve data quality and ownership.
• Enable dashboards and AI systems to consume trustworthy business data.
• Build APIs and integration layers that allow new agents and applications to be deployed quickly.
• # **7. Architecture, Cloud & Engineering Quality**
• You should be technically strong enough to challenge architecture and engineering decisions yourself.
• You will:
• Review architecture for scalability, reliability, maintainability, security and cost.
• Establish coding, testing, documentation and deployment standards.
• Strengthen CI/CD and monitoring.
• Review estimates rather than blindly accepting them.
• Prototype when speed requires it.
• Make pragmatic technology choices rather than over-engineering.
• We expect a leader who can move comfortably between a **CEO conversation about ROI and an engineering conversation about architecture.**
• # **8. Security, Reliability & AI Governance**
• You will own the reliability and security of Ergode’s technology environment.

Responsibilities include

• Cloud and infrastructure reliability
• Monitoring and uptime
• Incident management
• Root-cause analysis
• Backups and disaster recovery
• Identity and access management
• SSO
• Endpoint/device security
• Data protection
• You will also establish practical AI governance covering:
• which company information can be shared with which AI systems,
• permissions available to AI agents,
• human review requirements for critical decisions,
• auditability,
• and acceptable AI use.
• Compliance should appropriately address DPDP and relevant international privacy/security requirements.
• # **9. Build vs Buy vs Outsource**
• We do not believe everything must be built internally.
• We do believe **Ergode must own the outcome.**
• You will decide when to:
• **BUILD** — when capability creates strategic advantage.
• **BUY** — when a reliable product already solves the problem economically.
• **OUTSOURCE** — when an external specialist can deliver faster.
• For outsourced work, you will own:
• requirements,
• architecture,
• vendor selection,
• commercial evaluation,
• milestones,
• SLAs,
• quality,
• security,
• source code,
• documentation,
• handover.
• No critical Ergode technology should become permanently dependent on one vendor or individual.
• # **What Success Looks Like**
• Within the first 6–12 months, we expect visible movement across these areas:
• ### **Execution**
• Major technology initiatives have clear owners, deadlines and outcomes.
• Delivery predictability improves materially.
• Chronic technology bottlenecks reduce.
• ### **AI & Automation**
• Multiple AI agents/workflows are operating in production.
• Automation impact is quantified monthly.
• Manual workload is measurably reduced in targeted processes.
• Business adoption is visible rather than assumed.
• ### **Core Platforms**
• Critical marketplace and internal systems become more reliable.
• Technical ownership and documentation improve.
• Important business workflows no longer depend on fragile manual processes.
• ### **Data**
• Critical catalogue, inventory, order and operational data become more connected and trustworthy.
• ### **Business Partnership**
• Business leaders increasingly bring problems to Technology because they expect **working solutions, not project discussions**.
• # **Who We Are Looking For**
• ## **Must-Haves**
• 10+ years of meaningful technology experience.
• 5+ years leading engineering/technology teams.
• Evidence of personally owning major technology delivery.
• Strong understanding of software engineering, architecture, APIs and integrations.
• AI/automation systems deployed into production with measurable impact.
• Practical experience with:
• LLM APIs
• RAG
• AI agents / agentic workflows
• Python
• workflow automation platforms such as n8n/Make or equivalent
• Cloud experience across AWS, Azure or

Gcp

• API/integration architecture experience.
• DevOps, deployment and monitoring understanding.
• Ability to evaluate architecture, code/design decisions and engineering estimates.

Experience managing external technology partners

Experience owning meaningful technology budgets

• Strong business and commercial orientation.
• ## **Strongly Preferred**

Experience in one or more of

• E-commerce
• Marketplaces
• Retail technology
• D2C
• SaaS/platform businesses
• ERP/OMS/WMS
• Amazon SP-API or other marketplace integrations
• High-volume order/catalogue/inventory systems
• AI-first enterprise transformation
• # **Who Will NOT Fit This Role**
• This role is probably not for you if:
• Your experience is predominantly IT infrastructure/helpdesk.
• Your leadership style is primarily delegation without technical depth.
• Your AI experience consists mainly of courses, certifications or prototypes.
• You measure success by projects delivered rather than business outcomes achieved.
• You require large teams before you can execute.
• You prefer lengthy planning cycles over shipping, learning and improving.
• You cannot challenge engineers, vendors and business leaders when necessary.
• # **The Person Behind the Resume**
• We care about experience, but we care equally about how you operate.
• We value people who demonstrate:
• **Ownership. Bias for action. Curiosity. Commercial thinking. High standards. Candour. Learning velocity.**
• We would rather hire a builder who has repeatedly solved difficult problems than someone with the perfect title.