About the role
What You Will Own1. Technology Execution & DeliveryYou 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:
- 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.
2. Business-First Technology StrategyTechnology 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 AutomationAI 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.
4. E-commerce Platforms & Marketplace TechnologyOur 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.
5. Product & Platform OwnershipYou 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.
6. Data Foundation & Decision IntelligenceAI 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 QualityYou 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.
8. Security, Reliability & AI GovernanceYou 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
- 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.
9. Build vs Buy vs OutsourceWe 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.
What Success Looks LikeWithin 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.
- 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.
- Critical marketplace and internal systems become more reliable.
- Technical ownership and documentation improve.
- Important business workflows no longer depend on fragile manual processes.
- Critical catalogue, inventory, order and operational data become more connected and trustworthy.
- Business leaders increasingly bring problems to Technology because they expect working solutions, not project discussions.
Who We Are Looking ForMust-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.
- 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 RoleThis 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 ResumeWe 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.