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.