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Content Marketing Manager

• Publish and update event listings, blogs, and guides in CMS.
• Ensure accuracy in metadata, images, and formatting.
• Handle multiple publishing requests while meeting SLA deadlines (standard: 48h, priority: 24h).
• Perform QA checks to guarantee accuracy, compliance, and brand tone.
• Conduct UX reviews of live pages and recommend improvements.
• Identify issues in structure, placement, or design and escalate with solutions.
• Implement keyword, tagging, and structured data from SEO briefs.
• Track performance of published content and provide recommendations.
• Ensure to follow SEO guidelines delivered before publishing
• Maintain organized reporting sheets and dashboards.
• Collect and analyze publishing metrics (velocity, errors, SEO performance).
• Deliver clear reports with insights and actionable recommendations.
• Use Google Workspace (Docs, Sheets, Slides) for structured workflows.
• Apply AI tools (e.g., ChatGPT, Grammarly, image/SEO assistants) to increase efficiency.
• Use design tools (Canva, Photoshop, Figma – nice to have) for visuals or QA checks.
• Collaborate cross-functionally with Event Ops, BD, Creative, and Performance.
• Identify blockers or inefficiencies in content workflows.
• Suggest improvements to website/app functionality that enhance user experience.
• Document issues professionally and recommend actionable solutions.

Content Marketing Officer

Accountant

• Maintain day-to-day accounting operations including AP, AR, and GL.
• Record and reconcile booking revenues, commissions, and payment gateway transactions in line with IFRS 15.
• Perform bank, merchant, and payment gateway reconciliations.
• Post and review journal entries, accruals, and prepayments in Odoo ERP.
• Support monthly closing and financial reporting.
• Ensure audit trail, documentation, and compliance with internal controls.
• Support VAT reporting in line with ZATCA requirements.

QA Automation Engineer

• Own the design and operation of internal automations and AI-powered agents.
• You’ll turn API workflows into reliable, observable systems using n8n and LLMs.
• Build and maintain n8n workflows and custom nodes that orchestrate APIs, webhooks, and LLM calls.
• Design AI-assisted flows (classification, extraction, summarization, decision support) with clear guardrails.
• Implement secrets management, RBAC, rate limiting, and prompt-injection defenses.
• Add monitoring, alerting, and cost tracking; set SLOs for critical automations.
• Write concise docs/playbooks; enable self-serve patterns for teammates.
• Continuously improve reliability, latency, and cost via testing and iteration.

AI Automation Engineer, n8n, AI Agents

AI Engineer

• Build multi-step, tool-using agents that plan, retrieve, act, and verify.
• Design agent architectures, integrate tools/APIs, and deliver robust execution with safety and observability.
• Architect agent loops (planning, memory, retrieval, tool use, self-verification).
• Implement tools (functions/APIs/DB queries/files) and MCP-style interfaces.
• Combine RAG with agents: chunking, embeddings, retrieval, reranking, grounding.
• Add guardrails: execution sandboxes, permissions, rate limits, PII policies.
• Build evaluation for agents (task success, autonomy depth, recovery rate).
• Optimize for reliability, determinism where needed, and cost.