PLC Engineer Jobs in Jordan

<p><h4>Description<\/h4>\n<p><strong>Who are we?<\/strong><br>\nWe are Foodics! A leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarters in Riyadh and offices across five countries, including UAE, Egypt, Jordan, and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far, making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.<\/p>\n\n<h4>The job in a nutshell<\/h4>\n<p>We're hiring a senior engineer to lead significant pieces of work on our platform\u2014from shaping the problem with Product, through designing the solution, to shipping it and supporting it in production. You'll be a key technical voice on the team, helping to set the bar for what good looks like and mentoring others as you go. You'll be working with modern PHP and TypeScript\/React on a platform that processes hundreds of thousands of orders a week. The challenges are real, the autonomy is high, and the team is small enough that your decisions matter.<\/p>\n\n<h4>What will you do?<\/h4>\n<ul>\n <li>Lead the development of new features end-to-end\u2014from refining the requirements with Product through to shipping and monitoring in production.<\/li>\n <li>Drive the technical design of significant system changes and set development standards for the backend team.<\/li>\n <li>Mentor others and be willing to learn from them in turn.<\/li>\n <li>Enthuse about new technology and look for pragmatic opportunities to enhance our existing technology stack.<\/li>\n <li>Operate with autonomy: identify problems, propose solutions, and follow through without needing to be managed.<\/li>\n<\/ul>\n\n<h4>What are we looking for?<\/h4>\n<ul>\n <li><strong>Backend depth:<\/strong> Comfortable leading non-trivial work in modern PHP (7\/8+)\u2014object-oriented design, testability, and the trade-offs of common patterns are second nature.<\/li>\n <li><strong>Frontend competence:<\/strong> Can ship production React\/TypeScript features end-to-end without supervision.<\/li>\n <li><strong>Scale experience:<\/strong> You've worked on high-traffic web applications and understand what breaks at scale\u2014database hotspots, caching, queueing, idempotency, observability.<\/li>\n <li><strong>Relational databases:<\/strong> Practical experience with MySQL or similar\u2014you can read an EXPLAIN plan and fix a slow query without guessing.<\/li>\n <li><strong>Integration work:<\/strong> Experience designing and consuming HTTP APIs, including handling the messy realities of third-party reliability.<\/li>\n <li><strong>AI-assisted development:<\/strong> You use modern AI coding tools (Claude Code, Cursor, Copilot, or similar) as part of your daily workflow\u2014and you have a healthy scepticism of their output. You can tell when the model is bluffing and you don't merge code you don't understand.<\/li>\n <li><strong>Product partnership:<\/strong> Can work with product managers to refine requirements, push back constructively, and give honest estimates.<\/li>\n <li><strong>Communication:<\/strong> Can explain technical decisions to non-engineers and write clearly enough that async collaboration actually works.<\/li>\n <li><strong>Judgment:<\/strong> Strong problem-solving, attention to detail, and the instinct to ask \"do we actually need this?\" before adding complexity.<\/li>\n<\/ul>\n\n<h4>Who will excel?<\/h4>\n<ul>\n <li>DevOps experience with a major cloud provider (AWS \/ GCP \/ Azure).<\/li>\n <li>Kubernetes, CI\/CD pipelines.<\/li>\n <li>Python, Node, or other backend languages\u2014we care more about polyglot instinct than the specific stack.<\/li>\n <li>Elasticsearch, GraphQL.<\/li>\n <li>Experience evaluating or building features that incorporate LLMs into a product (prompt design, RAG, evals, cost\/latency trade-offs).<\/li>\n<\/ul>\n\n<h4>What we offer you?<\/h4>\n<ul>\n <li>Curated career progression planning with formal yearly reviews and informal check-ins along the way.<\/li>\n <li>Encouragement to grow into a feature development lead.<\/li>\n <li>A competitive salary.<\/li>\n <li>Ample time to learn new concepts\u2014including paid development and business-related conferences.<\/li>\n <li>Fully remote working, no commuting expenses.<\/li>\n <li>Flexible work hours. We'll need you around for a 10am stand-up; otherwise you work as and when it suits you.<\/li>\n <li>25 days holiday (plus bank holidays), with an additional day per year of service.<\/li>\n <li>Regular all-company socials and quarterly team socials.<\/li>\n <li>A team that genuinely likes learning and shipping together.<\/li>\n<\/ul><\/p><p><\/p>

<p><h4>Description</h4> <p><strong>About Syarah</strong><br> Syarah is one of the leading automotive e-commerce platforms in Saudi Arabia, transforming the way people buy, sell, finance, and own vehicles. Through technology, data, and innovative financial solutions, Syarah delivers a seamless customer experience while building scalable systems that support rapid business growth across sales, operations, finance, and customer engagement.</p> <p><strong>About the role</strong><br> We are looking for an experienced Engineering Manager – ERP & CRM to lead the development, strategy, and delivery of the systems that power Syarah's core business operations. In this role, you will manage a team of backend engineers, drive the technical direction of our ERPNext/Frappe and CRM platforms, and ensure reliable, scalable solutions that support sales, finance, inventory, and customer operations.</p> <p>This is both a technical and people leadership role. You will be responsible for setting team goals and OKRs, mentoring engineers, managing performance, and partnering closely with business stakeholders to translate company objectives into impactful engineering outcomes. The ideal candidate combines strong engineering expertise with a proven ability to build and lead high-performing teams in a fast-paced environment.</p> <h4>Key responsibilities</h4> <ul> <li>Lead, manage, and grow a team of backend engineers working across Python (Frappe/ERPNext) and PHP, owning team structure, hiring, and onboarding.</li> <li>Own the strategy, roadmap, and delivery of Syarah’s ERP and CRM platforms, the systems that run sales, finance, inventory, operations, and customer engagement.</li> <li>Set clear team and individual goals through OKRs, aligning day-to-day engineering execution with broader company objectives and tracking measurable outcomes.</li> <li>Run performance management end to end, including regular 1:1s, structured feedback, performance reviews, growth plans, and recognition.</li> <li>Mentor and develop engineers at every level, deepening technical skills, ownership, and a culture of accountability and continuous improvement.</li> <li>Translate company goals into a clear engineering roadmap, and be accountable for the team delivering against it on time and to a high standard.</li> <li>Define and enforce engineering standards across code quality, architecture, testing, security, and documentation for ERP and CRM systems.</li> <li>Own the technical direction of ERPNext/Frappe customizations, modules, and integrations, and of PHP-based CRM and internal business applications.</li> <li>Lead the design and delivery of integrations connecting ERP, CRM, payments, and other operational and data systems across the business.</li> <li>Partner with finance, operations, sales, and product stakeholders to capture requirements and translate them into well-scoped, prioritized engineering work.</li> <li>Drive healthy delivery practices, including sprint planning, estimation, code review, CI/CD, and release management, to ship reliably and predictably.</li> <li>Own reliability, uptime, and incident response for business-critical ERP and CRM platforms, putting in place monitoring, alerting, and on-call practices.</li> <li>Manage technical debt, scalability, and platform evolution, balancing short-term delivery against long-term maintainability and cost.</li> <li>Report progress, risks, trade-offs, and resourcing needs clearly to senior leadership, and represent the ERP and CRM engineering function across the company.</li> </ul> <h4>What we’re looking for</h4> <ul> <li>Proven experience managing and growing software engineering teams, with a track record of setting goals and OKRs, running performance management, and delivering against company objectives.</li> <li>Strong hands-on background in backend engineering with Python and PHP, ideally including ERPNext/Frappe and modern PHP frameworks.</li> <li>Solid understanding of ERP and CRM systems, business process automation, and integrations across finance, sales, and operations.</li> <li>Experience with API design, databases, CI/CD, and cloud infrastructure, and a strong bar for code quality, security, and reliability.</li> <li>Excellent stakeholder management and communication skills, with the ability to translate business goals into engineering execution.</li> </ul> <h4>Preferred experience</h4> <ul> <li>Hands-on experience with other major ERP systems such as SAP, Odoo, or Oracle.</li> <li>Experience with sales lead generation and workflow automation within CRM platforms.</li> <li>Exposure to AI and agentic AI, with an interest in applying it across ERP, CRM, and internal operations, is a strong plus.</li> </ul> <h4>Tech stack</h4> <ul> <li>Languages & frameworks: Python (Frappe/ERPNext), PHP (Laravel), SQL</li> <li>ERP & CRM: ERPNext, CRM platforms, custom business applications</li> <li>Databases & caching: MongoDB / MySQL, Redis</li> <li>Integration: REST APIs, webhooks, message queues</li> <li>DevOps & deployment: Docker, Git, CI/CD</li> <li>Cloud & infrastructure: AWS, GCP</li> <li>Ways of working: Agile / Scrum, OKRs, code review, performance management</li> </ul> <h4>Requirements</h4> <ul> <li>8+ years of software engineering experience, including 3+ years in an engineering management role</li> <li>Strong hands-on experience with Python and PHP development</li> <li>Experience with ERPNext/Frappe or other ERP platforms (SAP, Odoo, Oracle, etc.)</li> <li>Solid understanding of CRM systems, business process automation, and enterprise integrations</li> <li>Proven experience leading engineering teams, setting OKRs, and managing performance and career development</li> <li>Experience with APIs, databases, cloud infrastructure, CI/CD, and DevOps practices</li> <li>Strong stakeholder management and communication skills</li> <li>Experience in e-commerce, fintech, or high-growth technology environments is a plus</li> </ul></p><p></p>

<p><h4>Description</h4> <p><strong>About Syarah</strong><br> Syarah is one of the leading automotive e-commerce platforms in Saudi Arabia, transforming the way people buy, sell, finance, and own vehicles. Through technology, data, and innovative financial solutions, Syarah delivers a seamless customer experience while building scalable systems that support rapid business growth across sales, operations, finance, and customer engagement.</p> <p><strong>About the role</strong><br> We are looking for an experienced Engineering Manager – ERP & CRM to lead the development, strategy, and delivery of the systems that power Syarah's core business operations. In this role, you will manage a team of backend engineers, drive the technical direction of our ERPNext/Frappe and CRM platforms, and ensure reliable, scalable solutions that support sales, finance, inventory, and customer operations.</p> <p>This is both a technical and people leadership role. You will be responsible for setting team goals and OKRs, mentoring engineers, managing performance, and partnering closely with business stakeholders to translate company objectives into impactful engineering outcomes. The ideal candidate combines strong engineering expertise with a proven ability to build and lead high-performing teams in a fast-paced environment.</p> <h4>Key responsibilities</h4> <ul> <li>Lead, manage, and grow a team of backend engineers working across Python (Frappe/ERPNext) and PHP, owning team structure, hiring, and onboarding.</li> <li>Own the strategy, roadmap, and delivery of Syarah’s ERP and CRM platforms, the systems that run sales, finance, inventory, operations, and customer engagement.</li> <li>Set clear team and individual goals through OKRs, aligning day-to-day engineering execution with broader company objectives and tracking measurable outcomes.</li> <li>Run performance management end to end, including regular 1:1s, structured feedback, performance reviews, growth plans, and recognition.</li> <li>Mentor and develop engineers at every level, deepening technical skills, ownership, and a culture of accountability and continuous improvement.</li> <li>Translate company goals into a clear engineering roadmap, and be accountable for the team delivering against it on time and to a high standard.</li> <li>Define and enforce engineering standards across code quality, architecture, testing, security, and documentation for ERP and CRM systems.</li> <li>Own the technical direction of ERPNext/Frappe customizations, modules, and integrations, and of PHP-based CRM and internal business applications.</li> <li>Lead the design and delivery of integrations connecting ERP, CRM, payments, and other operational and data systems across the business.</li> <li>Partner with finance, operations, sales, and product stakeholders to capture requirements and translate them into well-scoped, prioritized engineering work.</li> <li>Drive healthy delivery practices, including sprint planning, estimation, code review, CI/CD, and release management, to ship reliably and predictably.</li> <li>Own reliability, uptime, and incident response for business-critical ERP and CRM platforms, putting in place monitoring, alerting, and on-call practices.</li> <li>Manage technical debt, scalability, and platform evolution, balancing short-term delivery against long-term maintainability and cost.</li> <li>Report progress, risks, trade-offs, and resourcing needs clearly to senior leadership, and represent the ERP and CRM engineering function across the company.</li> </ul> <h4>What we’re looking for</h4> <ul> <li>Proven experience managing and growing software engineering teams, with a track record of setting goals and OKRs, running performance management, and delivering against company objectives.</li> <li>Strong hands-on background in backend engineering with Python and PHP, ideally including ERPNext/Frappe and modern PHP frameworks.</li> <li>Solid understanding of ERP and CRM systems, business process automation, and integrations across finance, sales, and operations.</li> <li>Experience with API design, databases, CI/CD, and cloud infrastructure, and a strong bar for code quality, security, and reliability.</li> <li>Excellent stakeholder management and communication skills, with the ability to translate business goals into engineering execution.</li> </ul> <h4>Preferred experience</h4> <ul> <li>Hands-on experience with other major ERP systems such as SAP, Odoo, or Oracle.</li> <li>Experience with sales lead generation and workflow automation within CRM platforms.</li> <li>Exposure to AI and agentic AI, with an interest in applying it across ERP, CRM, and internal operations, is a strong plus.</li> </ul> <h4>Tech stack</h4> <ul> <li>Languages & frameworks: Python (Frappe/ERPNext), PHP (Laravel), SQL</li> <li>ERP & CRM: ERPNext, CRM platforms, custom business applications</li> <li>Databases & caching: MongoDB / MySQL, Redis</li> <li>Integration: REST APIs, webhooks, message queues</li> <li>DevOps & deployment: Docker, Git, CI/CD</li> <li>Cloud & infrastructure: AWS, GCP</li> <li>Ways of working: Agile / Scrum, OKRs, code review, performance management</li> </ul> <h4>Requirements</h4> <ul> <li>8+ years of software engineering experience, including 3+ years in an engineering management role</li> <li>Strong hands-on experience with Python and PHP development</li> <li>Experience with ERPNext/Frappe or other ERP platforms (SAP, Odoo, Oracle, etc.)</li> <li>Solid understanding of CRM systems, business process automation, and enterprise integrations</li> <li>Proven experience leading engineering teams, setting OKRs, and managing performance and career development</li> <li>Experience with APIs, databases, cloud infrastructure, CI/CD, and DevOps practices</li> <li>Strong stakeholder management and communication skills</li> <li>Experience in e-commerce, fintech, or high-growth technology environments is a plus</li> </ul></p><p></p>

<p><h4>About us</h4> <p>Whiteshield is an AI-native sovereign intelligence company helping governments move from insight to action and from planning to continuous adaptation. Its platform combines workforce intelligence, economic intelligence and adaptive policy applications to support decision-makers in real time. Founded in 2011, the company combines public policy expertise, proprietary data assets and AI-enabled applications to support decision-makers across workforce development, economic competitiveness and societal transformation.</p> <p>With principal operations in Dubai (DIFC) and Riyadh and a global footprint spanning the Middle East, Europe, Africa, Eurasia and Asia, Whiteshield serves governments, sovereign institutions, multilateral organisations and leading corporations worldwide. Its technology portfolio equips leaders with decision intelligence, workforce intelligence and adaptive policy solutions.</p> <p>Whiteshield’s mission is to help build adaptive societies where every citizen can learn, provide and connect.</p> <h4>Where you fit in</h4> <p>We’re a high-velocity, impact-driven team building software and data-driven solutions at the edge of innovation. Whether launching products from zero to one or helping clients adapt to emerging technologies, we operate in dynamic environments where experimentation, rapid delivery, and collaboration are constant. AI isn’t an add-on here - it’s embedded in how we design, build, test, and ship. From AI-assisted coding and automated test generation to intelligent architecture reviews and data-driven decision loops, we leverage AI-native workflows to move faster and build smarter.</p> <p>We’re looking for a seasoned technologist who thrives in AI-enabled environments and understands how to amplify engineering output using modern AI tooling. You won’t just manage projects; you will define how AI-driven digital excellence happens here; setting standards for prompt engineering, code generation workflows, automated QA, intelligent documentation, and continuous learning systems.</p> <p>You’re a senior-level engineer with a wide-ranging technical toolkit and a strong bias toward leveraging AI to increase velocity and quality. You’ve built and shipped products, integrated AI into real delivery pipelines, and know how to move from concept to production under pressure. You’re comfortable orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation across the SDLC. You’re also client-savvy. You can lead conversations, uncover needs, manage stakeholders, and translate business objectives into technical and AI-enabled delivery strategies. You understand how to position AI not as hype, but as a pragmatic accelerator - reducing time to value, improving quality, and unlocking new solution spaces. You thrive in fast-paced environments where agility, experimentation, and initiative are essential; and where AI is a core multiplier of team performance.</p> <h4>What you will do</h4> <ul> <li>Architect and build scalable, innovative software solutions; internally and for clients</li> <li>Lead engagements with clients, acting as both a trusted advisor and technical owner</li> <li>Rapidly prototype, iterate, and validate solutions using modern technologies</li> <li>Balance short-term deliverables with long-term vision for scalable systems</li> <li>Work across cross-functional teams to align product goals, timelines, and execution</li> <li>Mentor junior engineers and contribute to growing a culture of technical excellence</li> <li>Evaluate new technologies to be implemented at scale for citizen impact</li> <li>Embed AI-native development workflows across the SDLC, leveraging AI copilots, code generation, automated test creation, and intelligent documentation to increase velocity and quality</li> <li>Design and operationalize AI-assisted engineering practices, including prompt engineering standards, human-in-the-loop review processes, and continuous model evaluation to ensure secure, scalable, and production-ready delivery</li> </ul> <h4>Our core tech stack (flexible)</h4> <ul> <li>Backend: C# / .NET / Python</li> <li>Frontend: React / Next.js</li> <li>Database: MSSQL, Postgres, Elasticsearch, MongoDB</li> <li>Cloud: Azure or Google</li> <li>Dev tools: Git, CI/CD pipelines, Docker, Terraform, Ansible</li> <li>ML/AI: Langchain, LangGraph, N8n, scikit-learn, Ollama, Claude Code</li> </ul> <h4>Requirements</h4> <h4>What you’ll bring</h4> <ul> <li>6+ years of professional software engineering experience</li> <li>Expertise with C# and .NET Core, including building APIs and backend systems</li> <li>Proficiency in React and/or Next.js for modern frontend development</li> <li>Experience working with cloud services (Azure, AWS, or GCP)</li> <li>Strong communication and client management skills; comfortable owning technical delivery in client settings</li> <li>A passion for learning and working with emerging technologies</li> <li>Ability to work independently in fast-paced, dynamic environments</li> <li>Knowledge on how to integrate AI agentic development workflows to strong engineering practices</li> </ul> <h4>Bonus points for</h4> <ul> <li>Prior consulting, agency, or client-facing experience</li> <li>Experience designing cloud-native architectures and using infrastructure-as-code tools</li> <li>Open-source contributions or published technical content</li> <li>Familiarity with data science workflows or machine learning integration</li> </ul> <h4>Benefits</h4> <h4>Perks and opportunities</h4> <p><strong>Accelerated career trajectory</strong><br> We operate a performance-driven environment with clear progression pathways.</p> <p><strong>Seamless relocation</strong><br> For those relocating - we provide comprehensive transition support including visa sponsorship and relocation assistance enabling you to integrate quickly and focus on delivery from day one.</p> <p><strong>Supporting your performance</strong><br> We provide Tier 1 global medical coverage, wellbeing support, family allowances where applicable and structured savings plans.</p> <p><strong>Helping teams perform</strong><br> We work on complex high-impact engagements that demand intensity and ownership. At the same time we are mindful of the impact this can have and aim to support sustainable performance over time through offering generous annual leave, flexible work arrangements and opportunities to connect beyond the day-to-day through retreats and team events.</p></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Zaincash ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top Fintech company of 2023 and 2024 as well as GSMA’s Best Mobile Innovation Supporting Humanitarian Situations.<br> The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.<br> For more information, please visit www.<br>zaincash.iq. Responsibilities: 1.<br> AI Strategy and Use Case Development Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.<br> 2. Solution Design and Technical Leadership Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.<br> 3. Proof of Concept and Production Delivery Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.<br> 4. AI Governance, Risk, and Compliance Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with Information Security, Risk, Compliance, Legal, and Internal Audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.<br> 5. Data and Platform Readiness Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.<br> 6. Vendor and Partner Evaluation Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.<br> 7. Team Enablement and Knowledge Sharing Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.<br> Bachelor degree in Computer Science, Software Engineering, Data Science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.<br> Preferred Qualifications: Experience in fintech, banking, payments, telecom, financial services, or regulated industries.<br> Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.<br> Experience with Arabic language AI use cases, OCR, document processing, or image based verification.<br> Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.<br> Experience evaluating AI vendors and preparing business cases for technology investment.<br> Knowledge of data platforms, data pipelines, BI, and analytics environments.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<p><h4>Description<\/h4>\n<p><strong>Who are we?<\/strong><br>\nWe are Foodics! A leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarters in Riyadh and offices across five countries, including UAE, Egypt, Jordan, and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far, making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.<\/p>\n\n<h4>The job in a nutshell<\/h4>\n<p>We're hiring a senior engineer to lead significant pieces of work on our platform\u2014from shaping the problem with Product, through designing the solution, to shipping it and supporting it in production. You'll be a key technical voice on the team, helping to set the bar for what good looks like and mentoring others as you go. You'll be working with modern PHP and TypeScript\/React on a platform that processes hundreds of thousands of orders a week. The challenges are real, the autonomy is high, and the team is small enough that your decisions matter.<\/p>\n\n<h4>What will you do?<\/h4>\n<ul>\n <li>Lead the development of new features end-to-end\u2014from refining the requirements with Product through to shipping and monitoring in production.<\/li>\n <li>Drive the technical design of significant system changes and set development standards for the backend team.<\/li>\n <li>Mentor others and be willing to learn from them in turn.<\/li>\n <li>Enthuse about new technology and look for pragmatic opportunities to enhance our existing technology stack.<\/li>\n <li>Operate with autonomy: identify problems, propose solutions, and follow through without needing to be managed.<\/li>\n<\/ul>\n\n<h4>What are we looking for?<\/h4>\n<ul>\n <li><strong>Backend depth:<\/strong> Comfortable leading non-trivial work in modern PHP (7\/8+)\u2014object-oriented design, testability, and the trade-offs of common patterns are second nature.<\/li>\n <li><strong>Frontend competence:<\/strong> Can ship production React\/TypeScript features end-to-end without supervision.<\/li>\n <li><strong>Scale experience:<\/strong> You've worked on high-traffic web applications and understand what breaks at scale\u2014database hotspots, caching, queueing, idempotency, observability.<\/li>\n <li><strong>Relational databases:<\/strong> Practical experience with MySQL or similar\u2014you can read an EXPLAIN plan and fix a slow query without guessing.<\/li>\n <li><strong>Integration work:<\/strong> Experience designing and consuming HTTP APIs, including handling the messy realities of third-party reliability.<\/li>\n <li><strong>AI-assisted development:<\/strong> You use modern AI coding tools (Claude Code, Cursor, Copilot, or similar) as part of your daily workflow\u2014and you have a healthy scepticism of their output. You can tell when the model is bluffing and you don't merge code you don't understand.<\/li>\n <li><strong>Product partnership:<\/strong> Can work with product managers to refine requirements, push back constructively, and give honest estimates.<\/li>\n <li><strong>Communication:<\/strong> Can explain technical decisions to non-engineers and write clearly enough that async collaboration actually works.<\/li>\n <li><strong>Judgment:<\/strong> Strong problem-solving, attention to detail, and the instinct to ask \"do we actually need this?\" before adding complexity.<\/li>\n<\/ul>\n\n<h4>Who will excel?<\/h4>\n<ul>\n <li>DevOps experience with a major cloud provider (AWS \/ GCP \/ Azure).<\/li>\n <li>Kubernetes, CI\/CD pipelines.<\/li>\n <li>Python, Node, or other backend languages\u2014we care more about polyglot instinct than the specific stack.<\/li>\n <li>Elasticsearch, GraphQL.<\/li>\n <li>Experience evaluating or building features that incorporate LLMs into a product (prompt design, RAG, evals, cost\/latency trade-offs).<\/li>\n<\/ul>\n\n<h4>What we offer you?<\/h4>\n<ul>\n <li>Curated career progression planning with formal yearly reviews and informal check-ins along the way.<\/li>\n <li>Encouragement to grow into a feature development lead.<\/li>\n <li>A competitive salary.<\/li>\n <li>Ample time to learn new concepts\u2014including paid development and business-related conferences.<\/li>\n <li>Fully remote working, no commuting expenses.<\/li>\n <li>Flexible work hours. We'll need you around for a 10am stand-up; otherwise you work as and when it suits you.<\/li>\n <li>25 days holiday (plus bank holidays), with an additional day per year of service.<\/li>\n <li>Regular all-company socials and quarterly team socials.<\/li>\n <li>A team that genuinely likes learning and shipping together.<\/li>\n<\/ul><\/p><p><\/p>

<p><h4>About us</h4> <p>Whiteshield is an AI-native sovereign intelligence company helping governments move from insight to action and from planning to continuous adaptation. Its platform combines workforce intelligence, economic intelligence and adaptive policy applications to support decision-makers in real time. Founded in 2011, the company combines public policy expertise, proprietary data assets and AI-enabled applications to support decision-makers across workforce development, economic competitiveness and societal transformation.</p> <p>With principal operations in Dubai (DIFC) and Riyadh and a global footprint spanning the Middle East, Europe, Africa, Eurasia and Asia, Whiteshield serves governments, sovereign institutions, multilateral organisations and leading corporations worldwide. Its technology portfolio equips leaders with decision intelligence, workforce intelligence and adaptive policy solutions.</p> <p>Whiteshield’s mission is to help build adaptive societies where every citizen can learn, provide and connect.</p> <h4>Where you fit in</h4> <p>We’re a high-velocity, impact-driven team building software and data-driven solutions at the edge of innovation. Whether launching products from zero to one or helping clients adapt to emerging technologies, we operate in dynamic environments where experimentation, rapid delivery, and collaboration are constant. AI isn’t an add-on here - it’s embedded in how we design, build, test, and ship. From AI-assisted coding and automated test generation to intelligent architecture reviews and data-driven decision loops, we leverage AI-native workflows to move faster and build smarter.</p> <p>We’re looking for a seasoned technologist who thrives in AI-enabled environments and understands how to amplify engineering output using modern AI tooling. You won’t just manage projects; you will define how AI-driven digital excellence happens here; setting standards for prompt engineering, code generation workflows, automated QA, intelligent documentation, and continuous learning systems.</p> <p>You’re a senior-level engineer with a wide-ranging technical toolkit and a strong bias toward leveraging AI to increase velocity and quality. You’ve built and shipped products, integrated AI into real delivery pipelines, and know how to move from concept to production under pressure. You’re comfortable orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation across the SDLC. You’re also client-savvy. You can lead conversations, uncover needs, manage stakeholders, and translate business objectives into technical and AI-enabled delivery strategies. You understand how to position AI not as hype, but as a pragmatic accelerator - reducing time to value, improving quality, and unlocking new solution spaces. You thrive in fast-paced environments where agility, experimentation, and initiative are essential; and where AI is a core multiplier of team performance.</p> <h4>What you will do</h4> <ul> <li>Architect and build scalable, innovative software solutions; internally and for clients</li> <li>Lead engagements with clients, acting as both a trusted advisor and technical owner</li> <li>Rapidly prototype, iterate, and validate solutions using modern technologies</li> <li>Balance short-term deliverables with long-term vision for scalable systems</li> <li>Work across cross-functional teams to align product goals, timelines, and execution</li> <li>Mentor junior engineers and contribute to growing a culture of technical excellence</li> <li>Evaluate new technologies to be implemented at scale for citizen impact</li> <li>Embed AI-native development workflows across the SDLC, leveraging AI copilots, code generation, automated test creation, and intelligent documentation to increase velocity and quality</li> <li>Design and operationalize AI-assisted engineering practices, including prompt engineering standards, human-in-the-loop review processes, and continuous model evaluation to ensure secure, scalable, and production-ready delivery</li> </ul> <h4>Our core tech stack (flexible)</h4> <ul> <li>Backend: C# / .NET / Python</li> <li>Frontend: React / Next.js</li> <li>Database: MSSQL, Postgres, Elasticsearch, MongoDB</li> <li>Cloud: Azure or Google</li> <li>Dev tools: Git, CI/CD pipelines, Docker, Terraform, Ansible</li> <li>ML/AI: Langchain, LangGraph, N8n, scikit-learn, Ollama, Claude Code</li> </ul> <h4>Requirements</h4> <h4>What you’ll bring</h4> <ul> <li>6+ years of professional software engineering experience</li> <li>Expertise with C# and .NET Core, including building APIs and backend systems</li> <li>Proficiency in React and/or Next.js for modern frontend development</li> <li>Experience working with cloud services (Azure, AWS, or GCP)</li> <li>Strong communication and client management skills; comfortable owning technical delivery in client settings</li> <li>A passion for learning and working with emerging technologies</li> <li>Ability to work independently in fast-paced, dynamic environments</li> <li>Knowledge on how to integrate AI agentic development workflows to strong engineering practices</li> </ul> <h4>Bonus points for</h4> <ul> <li>Prior consulting, agency, or client-facing experience</li> <li>Experience designing cloud-native architectures and using infrastructure-as-code tools</li> <li>Open-source contributions or published technical content</li> <li>Familiarity with data science workflows or machine learning integration</li> </ul> <h4>Benefits</h4> <h4>Perks and opportunities</h4> <p><strong>Accelerated career trajectory</strong><br> We operate a performance-driven environment with clear progression pathways.</p> <p><strong>Seamless relocation</strong><br> For those relocating - we provide comprehensive transition support including visa sponsorship and relocation assistance enabling you to integrate quickly and focus on delivery from day one.</p> <p><strong>Supporting your performance</strong><br> We provide Tier 1 global medical coverage, wellbeing support, family allowances where applicable and structured savings plans.</p> <p><strong>Helping teams perform</strong><br> We work on complex high-impact engagements that demand intensity and ownership. At the same time we are mindful of the impact this can have and aim to support sustainable performance over time through offering generous annual leave, flexible work arrangements and opportunities to connect beyond the day-to-day through retreats and team events.</p></p><p></p>

<p>Syarah is on a mission to transform the way people buy cars in Saudi Arabia and the Middle East. We offer customers an end-to-end digital car buying experience, allowing them to purchase their next vehicle from the comfort of their homes. Behind the scenes, we build and operate systems that manage vehicle sourcing, inspection, photography, merchandising, reconditioning, financing, insurance, shipping, and much more. Our goal is to make car buying a seamless, transparent, and enjoyable experience. We are looking for a mid-level Product Designer to join our Product team. The ideal candidate is passionate about designing intuitive digital experiences and enjoys working closely with Product Managers and Engineers to transform business requirements into high-quality customer experiences. This role is ideal for someone who is hands-on, collaborative, data-informed, and eager to continuously improve products through design, experimentation, and customer feedback. All Syarah employees are expected to work in accordance with Syarah's core values: Tolerance, Transparency, Respect, Integrity, and Positivity.</p><p><b>Key Responsibilities</b></p><ul><li>Design user-centered experiences across web and mobile products.</li><li>Create user flows, wireframes, mockups, and interactive prototypes using Figma.</li><li>Collaborate closely with Product Managers and Engineers throughout the product development lifecycle.</li><li>Translate business requirements into simple, scalable, and intuitive design solutions.</li><li>Contribute to and maintain the company's design system.</li><li>Continuously improve existing experiences based on customer feedback, usability findings, and product performance.</li><li>Participate in design reviews and collaborate with cross-functional teams to deliver high-quality user experiences.</li></ul><p>3 5 years of experience in Product Design, UX/UI Design, or a similar role.</p><p>Strong portfolio demonstrating end-to-end product design work.</p><p>Advanced proficiency with Figma.</p><p>Experience designing responsive web and mobile applications.</p><p>Strong understanding of UX principles, interaction design, and visual design.</p><p>Excellent communication and collaboration skills.</p><p>Ability to manage multiple design tasks in a fast-paced Agile environment.</p><p>A product mindset with the ability to balance user needs and business objectives.</p><p>Familiarity with product analytics tools (such as Mixpanel, GA4, Amplitude, or similar) to understand user behavior, identify friction points, and support design decisions with data.</p><p>Basic understanding of experimentation and A/B testing, with the ability to collaborate on validating design improvements through measurable outcomes.</p><p>Nice to Have</p><ul><li>Experience working on e-commerce or marketplace products.</li><li>Experience contributing to or maintaining design systems.</li><li>Familiarity with usability testing and customer interviews.</li><li>Understanding of accessibility best practices.</li><li>Experience working in cross-functional Product teams using Agile methodologies.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>3 5 years of experience in Product Design, UX/UI Design, or a similar role.</li><li>Strong portfolio demonstrating end-to-end product design work.</li><li>Advanced proficiency with Figma.</li><li>Experience designing responsive web and mobile applications.</li><li>Strong understanding of UX principles, interaction design, and visual design.</li><li>Excellent communication and collaboration skills.</li><li>Ability to manage multiple design tasks in a fast-paced Agile environment.</li><li>A product mindset with the ability to balance user needs and business objectives.</li><li>Familiarity with product analytics tools (such as Mixpanel, GA4, Amplitude, or similar) to understand user behavior, identify friction points, and support design decisions with data.</li><li>Basic understanding of experimentation and A/B testing, with the ability to collaborate on validating design improvements through measurable outcomes.</li><li>Experience working on e-commerce or marketplace products.</li><li>Experience contributing to or maintaining design systems.</li><li>Familiarity with usability testing and customer interviews.</li><li>Understanding of accessibility best practices.</li><li>Experience working in cross-functional Product teams using Agile methodologies.</li></ul>

<p><h4>Description<\/h4>\n<p>TheSoul Group is a global media company with over a decade of experience building and operating digital businesses at scale. With a presence across 60 platforms, content distributed in 21 languages, and more than 100 billion monthly views, we have established one of the largest and most operationally sophisticated media footprints in the world. Our remote-first team, spanning 85+ countries, has grown by solving \u2014 at real scale \u2014 the exact organisational and operational challenges most companies struggle with.<\/p>\n<p>That operational depth is the foundation of Valis \u2014 TheSoul Group's brand new business and AI platform for enterprise transformation. Valis is an institutional AI operating layer for mid-market organisations (roughly 200\u20132,000 employees). It sits across a company's systems, runs one shared, org-wide \"brain\" on everything the company knows, and applies encoded operator judgment on every answer \u2014 so the value of AI compounds for the company, not just for individuals using per-seat chatbots.<\/p>\n<p>Valis is already proven in production \u2014 built from real transformation work, encoding operational experience rather than theory \u2014 and we are now scaling its deployment to mid-market companies worldwide.<\/p>\n<p>We are seeking a Client Deployment Lead, AI to embed on-site alongside mid-market CEOs and make their AI-native transformation real on the ground. You work as a tight pod: you on-site owning the CEO relationship and the result and you drive the rollout to a finance-verified outcome, with elite remote engineers shipping the product configuration behind you. Every CEO who watches you land the transformation becomes the proof that wins the next one. This role is the engine of our go-to-market.<\/p>\n<h4>Responsibilities<\/h4>\n<ul>\n<li>Own the client-CEO relationship and the executive steering committee \u2014 as a peer, with real decision rights.<\/li>\n<li>Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews.<\/li>\n<li>Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team).<\/li>\n<li>Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off.<\/li>\n<li>Be personally accountable for a finance-verified outcome the client can see in their P&L.<\/li>\n<li>Build a portfolio of 2\u20133 marquee CEO accounts as each engagement matures.<\/li>\n<li>Own end-to-end rollout management \u2014 from kick-off through adoption, sign-off, and handover \u2014 ensuring every phase lands on time and to a measurable outcome.<\/li>\n<li>Codify the method after each deployment so the next one requires less ramp-up.<\/li>\n<\/ul>\n<h4>Requirements<\/h4>\n<ul>\n<li>A track record of owning real outcomes \u2014 you have moved a P&L or shipped a transformation, not just advised on one.<\/li>\n<li>CEO-room presence: ability to sit across from a mid-market CEO as a peer and earn organisational trust quickly.<\/li>\n<li>Technically literate enough to prototype, spec work, and direct engineers \u2014 you shape the solution, you don't wait for one.<\/li>\n<li>You thrive in ambiguity \u2014 operating effectively with incomplete information, shifting requirements, and no fixed playbook.<\/li>\n<li>Willing and energised to be on-site with clients (~30\u201360% travel).<\/li>\n<li>Likely background: top-tier strategy firm (Engagement Manager \u2013 Associate Partner) or a proven in-house transformation operator.<\/li>\n<li>Hands-on experience with AI \/ data tooling is a strong plus.<\/li>\n<\/ul>\n<h4>Benefits<\/h4>\n<ul>\n<li>Compensation: A competitive base calibrated to your market and seniority, plus a performance bonus tied to delivered outcomes.<\/li>\n<li>Equity: Meaningful, founder-tier ownership \u2014 this is the real upside, and it's sized to match.<\/li>\n<li>Authority: Real decision rights and an interim-executive mandate inside the client where granted. You own the result.<\/li>\n<li>Trajectory: A portfolio of marquee CEO relationships and a clear path to Regional GM for MENA.<\/li>\n<li>Location: On-site with the client during deployment (~30\u201360% travel across the MENA region); your home base is flexible.<\/li>\n<\/ul>\n<p><strong>Why AI makes this seat more valuable, not less:<\/strong> Valis automates the coordination, reporting and status layer of a company. This role sits on the other side of that line: CEO trust, judgment under ambiguity, and accountability for a real outcome are exactly what don't automate. As the platform gets stronger, the seat compounds in leverage \u2014 it doesn't erode.<\/p>\n<p>We appreciate your interest in our job opportunities and our company. Our team carefully evaluates each application to identify the most suitable candidates for the role. Due to the high volume of applications received, we may not be able to respond to every applicant. However, if your qualifications align with our requirements, we will contact you to discuss the next steps in the selection process.<\/p><\/p><p><\/p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Syarah is on a mission to transform the way people buy cars in Saudi Arabia and the Middle East.<br> We offer customers an end-to-end digital car buying experience, allowing them to purchase their next vehicle from the comfort of their homes.<br> Behind the scenes, we build and operate systems that manage vehicle sourcing, inspection, photography, merchandising, reconditioning, financing, insurance, shipping, and much more.<br> Our goal is to make car buying a seamless, transparent, and enjoyable experience.<br> We are looking for a mid-level Product Designer to join our Product team.<br> The ideal candidate is passionate about designing intuitive digital experiences and enjoys working closely with Product Managers and Engineers to transform business requirements into high-quality customer experiences.<br> This role is ideal for someone who is hands-on, collaborative, data-informed, and eager to continuously improve products through design, experimentation, and customer feedback.<br> All Syarah employees are expected to work in accordance with Syarah's core values: Tolerance, Transparency, Respect, Integrity, and Positivity.<br> Key Responsibilities Design user-centered experiences across web and mobile products.<br> Create user flows, wireframes, mockups, and interactive prototypes using Figma.<br> Collaborate closely with Product Managers and Engineers throughout the product development lifecycle.<br> Translate business requirements into simple, scalable, and intuitive design solutions.<br> Contribute to and maintain the company's design system.<br> Continuously improve existing experiences based on customer feedback, usability findings, and product performance.<br> Participate in design reviews and collaborate with cross-functional teams to deliver high-quality user experiences.<br> 3–5 years of experience in Product Design, UX/UI Design, or a similar role.<br> Strong portfolio demonstrating end-to-end product design work.<br> Advanced proficiency with Figma.<br> Experience designing responsive web and mobile applications.<br> Strong understanding of UX principles, interaction design, and visual design.<br> Excellent communication and collaboration skills.<br> Ability to manage multiple design tasks in a fast-paced Agile environment.<br> A product mindset with the ability to balance user needs and business objectives.<br> Familiarity with product analytics tools (such as Mixpanel, GA4, Amplitude, or similar) to understand user behavior, identify friction points, and support design decisions with data.<br> Basic understanding of experimentation and A/B testing, with the ability to collaborate on validating design improvements through measurable outcomes.<br> Nice to Have Experience working on e-commerce or marketplace products.<br> Experience contributing to or maintaining design systems.<br> Familiarity with usability testing and customer interviews.<br> Understanding of accessibility best practices.<br> Experience working in cross-functional Product teams using Agile methodologies.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Who Are We❓ We Are Foodics!<br> a leading restaurant management ecosystem and payment tech provider.<br> Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait.<br> We are currently serving customers and partners in over 35 different countries worldwide.<br> Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far!<br> making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region.<br> Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.<br> About the role We are growing our engineering team and are looking for a technically strong Engineering Manager to lead one of our delivery teams.<br> This is a delivery-focused leadership role: your job is to turn a cross-functional roadmap into shipped, high-quality software on a predictable cadence, while providing the technical insight and guidance needed to keep delivery pragmatic, reliable, and well-executed.<br> The team has two clear areas of ownership.<br> First, the Hotels domain, the guest-facing and hotel-operations features that serve our enterprise hotel customers, from in-room and on-property ordering through to stay-management and guest-services capabilities.<br> Second, third-party integrations such as POS's (Point of Sale), PMS (Property Management System), payment gateways, and loyalty connections that the Hotels business depends on, where you own the technical relationship end-to-end.<br> You own the throughput, quality, and getting integration-heavy work delivered efficiently.<br> This role reports to the Engineering Director.<br> Your mission You own the delivery health of your squad end-to-end.<br> You take a mixed backlog of integration, platform, and product work and ship it predictably, at high quality, with the dependencies managed and the risks surfaced early.<br> Key responsibilities Manage a team of full stack engineers, actively drive their growth, performance, and engagement.<br> Mobile engineers are a possibility as well.<br> Turn quarterly roadmaps into a realistic delivery plan, track progress, and report status with metrics against company goals.<br> Run tight agile processes and continuously improve them based on delivery metrics.<br> Manage dependencies across different domains, with external integration partners, escalating and resolving blockers early (e.<br>g. with POS systems etc.<br>). Review RFCs and technical proposals, providing feedback on design, scalability, security, and integration risk, and helping the team converge on sound decisions before things enter a delivery commitment.<br> Lead technical discussions with third-party integration partners, translating between partner APIs and constraints and wi-Q's architecture, and owning the technical feasibility view in those conversations.<br> Improve engineering process and delivery metrics (for example cycle time, deployment frequency, change-failure rate, and defect escape rate), and use them to drive decisions.<br> Uphold security and compliance obligations relevant to the team's work (e.<br>g. PCI DSS etc.<br>), embedding them into how the squad builds rather than treating them as an afterthought.<br> Draft and track team OKRs and engineering KPIs (e.<br>g. DORA); when the team is off track, show what is being done about it.<br> Coordinate across Product, Customer Success, DevOps, and the Foodics counterparts to deliver shared goals.<br> What success looks like (first 6-12 months) The team has a predictable delivery cadence, with sprint and quarterly commitments met at a consistent and improving hit rate.<br> Cross-team and third-party dependencies are visible and managed early, so the squad is rarely blocked and rarely blocks others.<br> Release quality is measurably higher: fewer escaped defects and a faster, safer path from merge to production.<br> Delivery from the team contributes directly to improving TTV for new customer go-lives and to protecting NRR through platform stability.<br> The team is fully staffed, ramped, and retained, with a clear working model and a healthy engagement signal.<br> Product, Commercial, and Customer Success stakeholders trust the team's estimates, status, and risk flags.<br> Your skills Demonstrated experience managing a team of software engineers, with a track record of delivering on commitments predictably.<br> Strong command of agile and lean delivery practices (sprints, kanban, estimation, refinement) and the maturity to adapt process to context rather than apply it dogmatically.<br> Proven ability to manage dependencies and coordinate delivery across multiple teams and external partners.<br> Technically strong: able to review RFCs and technical proposals critically, reason about architecture, scalability, and integration risk, scope engineering spikes, and hold your own in technical discussions with engineers and third-party partners.<br> Fluency with delivery and quality metrics, and the discipline to lead with data over anecdote.<br> Excellent written and verbal communication in English; able to lead with the conclusion, be concise, and be specific about blockers and decisions needed.<br> Ability to translate technical concepts into easily digestible language for non-technical business stakeholders.<br> Experience operating in multi-market or multi-region environments, ideally with distributed and remote teams.<br> Comfortable in a fast-moving scale-up where priorities shift and ambiguity is normal.<br> Nice-to-haves Experience in B2B SaaS with high-volume B2C traffic patterns.<br> Background in hospitality-tech, food and beverage, payments, or last-mile delivery.<br> Working knowledge of our stack: Google Cloud Platform (GCP), Kubernetes, GitHub, PHP/Symfony, NodeJS, Typescript, and a mobile stack (Capacitor, Ionic, or React Native).<br> Familiarity with integrating third-party systems (POS, PMS, payment gateways, delivery aggregators) and the reliability challenges they bring.<br> Experience hiring and scaling engineering teams in the MENA region.<br> BSc or MSc degree (or equivalent experience).<br> What we offer Curated career progression planning with formal yearly reviews and informal check-ins along the way.<br> Encouragement to grow into a Feature Development Lead.<br> A competitive salary.<br> Ample time to learn new concepts - including paid development and business-related conferences.<br> Fully remote working, no commuting expenses.<br> Flexible work hours.<br> We'll need you around for a 10am stand-up; otherwise you work as and when it suits you.<br> 25 days holiday (plus bank holidays), with an additional day per year of service.<br> Regular all-company socials and quarterly team socials.<br> A team that genuinely likes learning and shipping together.<br></span> </div>

<p><h4>Description<\/h4>\n<p>TheSoul Group is a global media company with over a decade of experience building and operating digital businesses at scale. With a presence across 60 platforms, content distributed in 21 languages, and more than 100 billion monthly views, we have established one of the largest and most operationally sophisticated media footprints in the world. Our remote-first team, spanning 85+ countries, has grown by solving \u2014 at real scale \u2014 the exact organisational and operational challenges most companies struggle with.<\/p>\n<p>That operational depth is the foundation of Valis \u2014 TheSoul Group's brand new business and AI platform for enterprise transformation. Valis is an institutional AI operating layer for mid-market organisations (roughly 200\u20132,000 employees). It sits across a company's systems, runs one shared, org-wide \"brain\" on everything the company knows, and applies encoded operator judgment on every answer \u2014 so the value of AI compounds for the company, not just for individuals using per-seat chatbots.<\/p>\n<p>Valis is already proven in production \u2014 built from real transformation work, encoding operational experience rather than theory \u2014 and we are now scaling its deployment to mid-market companies worldwide.<\/p>\n<p>We are seeking a Client Deployment Lead, AI to embed on-site alongside mid-market CEOs and make their AI-native transformation real on the ground. You work as a tight pod: you on-site owning the CEO relationship and the result and you drive the rollout to a finance-verified outcome, with elite remote engineers shipping the product configuration behind you. Every CEO who watches you land the transformation becomes the proof that wins the next one. This role is the engine of our go-to-market.<\/p>\n<h4>Responsibilities<\/h4>\n<ul>\n<li>Own the client-CEO relationship and the executive steering committee \u2014 as a peer, with real decision rights.<\/li>\n<li>Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews.<\/li>\n<li>Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team).<\/li>\n<li>Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off.<\/li>\n<li>Be personally accountable for a finance-verified outcome the client can see in their P&L.<\/li>\n<li>Build a portfolio of 2\u20133 marquee CEO accounts as each engagement matures.<\/li>\n<li>Own end-to-end rollout management \u2014 from kick-off through adoption, sign-off, and handover \u2014 ensuring every phase lands on time and to a measurable outcome.<\/li>\n<li>Codify the method after each deployment so the next one requires less ramp-up.<\/li>\n<\/ul>\n<h4>Requirements<\/h4>\n<ul>\n<li>A track record of owning real outcomes \u2014 you have moved a P&L or shipped a transformation, not just advised on one.<\/li>\n<li>CEO-room presence: ability to sit across from a mid-market CEO as a peer and earn organisational trust quickly.<\/li>\n<li>Technically literate enough to prototype, spec work, and direct engineers \u2014 you shape the solution, you don't wait for one.<\/li>\n<li>You thrive in ambiguity \u2014 operating effectively with incomplete information, shifting requirements, and no fixed playbook.<\/li>\n<li>Willing and energised to be on-site with clients (~30\u201360% travel).<\/li>\n<li>Likely background: top-tier strategy firm (Engagement Manager \u2013 Associate Partner) or a proven in-house transformation operator.<\/li>\n<li>Hands-on experience with AI \/ data tooling is a strong plus.<\/li>\n<\/ul>\n<h4>Benefits<\/h4>\n<ul>\n<li>Compensation: A competitive base calibrated to your market and seniority, plus a performance bonus tied to delivered outcomes.<\/li>\n<li>Equity: Meaningful, founder-tier ownership \u2014 this is the real upside, and it's sized to match.<\/li>\n<li>Authority: Real decision rights and an interim-executive mandate inside the client where granted. You own the result.<\/li>\n<li>Trajectory: A portfolio of marquee CEO relationships and a clear path to Regional GM for MENA.<\/li>\n<li>Location: On-site with the client during deployment (~30\u201360% travel across the MENA region); your home base is flexible.<\/li>\n<\/ul>\n<p><strong>Why AI makes this seat more valuable, not less:<\/strong> Valis automates the coordination, reporting and status layer of a company. This role sits on the other side of that line: CEO trust, judgment under ambiguity, and accountability for a real outcome are exactly what don't automate. As the platform gets stronger, the seat compounds in leverage \u2014 it doesn't erode.<\/p>\n<p>We appreciate your interest in our job opportunities and our company. Our team carefully evaluates each application to identify the most suitable candidates for the role. Due to the high volume of applications received, we may not be able to respond to every applicant. However, if your qualifications align with our requirements, we will contact you to discuss the next steps in the selection process.<\/p><\/p><p><\/p>

<p><h4>Description</h4> <p>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs, and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces, and content focused on creating impact and growth across the different interactions.</p> <p>Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.</p> <h4>Job overview</h4> <p>We are seeking an experienced senior Salesforce Agentforce to lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce. This role requires deep expertise in Agentforce architecture, Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), and the Salesforce platform. You will work closely with business stakeholders, architects, delivery teams, and executive leadership to identify AI use cases, define solution architectures, and drive successful Agentforce implementations across complex enterprise environments.</p> <h4>Role responsibilities</h4> <ul> <li>Lead Agentforce discovery workshops to identify high-value AI use cases and assess solution fit.</li> <li>Define agent care plans, success metrics, adoption strategies, and implementation roadmaps.</li> <li>Architect Agentforce solutions, including:<br>   - Agents and sub-agents<br>   - Topics<br>   - Actions (Apex, Flow, Prompt-based, and Invocable Actions)<br>   - Instructions and orchestration</li> <li>Design grounding strategies using Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), vector databases, embedding and chunking techniques, and retrieval optimization for both structured and unstructured data.</li> <li>Design scalable Salesforce platform architectures, including:<br>   - Data model<br>   - Sharing and visibility model<br>   - Security architecture</li> <li>Develop solution extensions using Apex, Lightning Web Components (LWC), and Salesforce Flow.</li> <li>Produce technical architecture documentation, solution blueprints, and executive presentations.</li> <li>Establish architectural governance, implementation standards, and best practices to ensure scalability, reusability, and compliance with Agentforce platform guardrails.</li> <li>Collaborate with delivery teams, data engineers, integration architects, and enterprise stakeholders across multi-system environments, including ERP, CRM, middleware, and external AI services.</li> <li>Support pre-sales initiatives by contributing to solution design, effort estimation, demonstrations, and proof-of-concept (POC) development.</li> <li>Provide technical leadership and mentoring to project teams throughout the solution lifecycle.</li> </ul> <h4>Requirements</h4> <ul> <li>Proven experience delivering Salesforce Agentforce solutions in production environments or enterprise-scale proof of concepts.</li> <li>Strong understanding of Agentforce architecture, including:<br>   - Agents<br>   - Sub-agents<br>   - Topics<br>   - Actions<br>   - Instructions<br>   - Orchestration</li> <li>Experience facilitating AI use case discovery and designing agent care plans.</li> <li>Strong expertise in Salesforce Data Cloud (Data 360), including:<br>   - Data modelling<br>   - Batch and streaming ingestion<br>   - Data harmonisation<br>   - Identity resolution</li> <li>Deep understanding of Retrieval-Augmented Generation (RAG), including:<br>   - Vector databases<br>   - Embedding and chunking strategies<br>   - Retrieval optimisation<br>   - Grounding using Data Cloud and external knowledge sources</li> <li>Strong Salesforce platform architecture experience covering:<br>   - Data modelling<br>   - Security architecture<br>   - Sharing and visibility model (OWD, Roles, Sharing Rules)</li> <li>Advanced development skills in:<br>   - Apex<br>   - Lightning Web Components (LWC)<br>   - Salesforce Flow</li> <li>Experience designing enterprise integration patterns connecting Agentforce with external systems.</li> <li>Excellent stakeholder management and client-facing communication skills with the ability to present solutions to both technical and executive audiences.</li> <li>Understanding of the Agentforce consumption model.</li> <li>Experience with Agentforce Testing Center or equivalent AI testing frameworks.</li> </ul> <h4>Nice to have</h4> <ul> <li>Knowledge of Model Context Protocol (MCP).</li> <li>Experience with Agent-to-Agent (A2A) integration patterns.</li> <li>Experience designing headless Salesforce architectures.</li> <li>Agentblazer Legend status.</li> <li>Agentforce FDE Ready Practitioner accreditation.</li> </ul> <h4>Preferred Salesforce certifications</h4> <ul> <li>Salesforce Application Architect</li> <li>Salesforce Data Cloud Consultant</li> <li>Salesforce Agentforce Specialist</li> </ul> <h4>Benefits</h4> <ul> <li>Fully remote engagement.</li> <li>Opportunity to work on cutting-edge Salesforce AI and Agentforce implementations.</li> <li>Collaborate with leading enterprise clients on large-scale digital transformation programmes.</li> <li>Competitive contract rates and the opportunity to shape next-generation AI-powered customer experiences.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem.<br> RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains.<br> In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.<br> Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group.<br> With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market.<br> Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.<br> Job Overview We are seeking an experienced Senior Salesforce Agentforce to lead the design and delivery of enterprise-grade AI agent solutions using Salesforce Agentforce.<br> This role requires deep expertise in Agentforce architecture, Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), and the Salesforce platform.<br> You will work closely with business stakeholders, architects, delivery teams, and executive leadership to identify AI use cases, define solution architectures, and drive successful Agentforce implementations across complex enterprise environments.<br> Role Responsibilities Lead Agentforce discovery workshops to identify high-value AI use cases and assess solution fit.<br> Define agent care plans, success metrics, adoption strategies, and implementation roadmaps.<br> Architect Agentforce solutions, including: - Agents and sub-agents - Topics - Actions (Apex, Flow, Prompt-based, and Invocable Actions) - Instructions and orchestration Design grounding strategies using Salesforce Data Cloud (Data 360), Retrieval-Augmented Generation (RAG), vector databases, embedding and chunking techniques, and retrieval optimization for both structured and unstructured data.<br> Design scalable Salesforce platform architectures, including: - Data model - Sharing and visibility model - Security architecture Develop solution extensions using Apex, Lightning Web Components (LWC), and Salesforce Flow.<br> Produce technical architecture documentation, solution blueprints, and executive presentations.<br> Establish architectural governance, implementation standards, and best practices to ensure scalability, reusability, and compliance with Agentforce platform guardrails.<br> Collaborate with delivery teams, data engineers, integration architects, and enterprise stakeholders across multi-system environments, including ERP, CRM, middleware, and external AI services.<br> Support pre-sales initiatives by contributing to solution design, effort estimation, demonstrations, and proof-of-concept (POC) development.<br> Provide technical leadership and mentoring to project teams throughout the solution lifecycle.<br> Fully remote engagement.<br> Opportunity to work on cutting-edge Salesforce AI and Agentforce implementations.<br> Collaborate with leading enterprise clients on large-scale digital transformation programmes.<br> Competitive contract rates and the opportunity to shape next-generation AI-powered customer experiences.<br> Proven experience delivering Salesforce Agentforce solutions in production environments or enterprise-scale proof of concepts.<br> Strong understanding of Agentforce architecture, including: Agents Sub-agents Topics Actions Instructions Orchestration Experience facilitating AI use case discovery and designing agent care plans.<br> Strong expertise in Salesforce Data Cloud (Data 360), including: Data modelling Batch and streaming ingestion Data harmonisation Identity resolution Deep understanding of Retrieval-Augmented Generation (RAG), including: Vector databases Embedding and chunking strategies Retrieval optimisation Grounding using Data Cloud and external knowledge sources Strong Salesforce platform architecture experience covering: Data modelling Security architecture Sharing and visibility model (OWD, Roles, Sharing Rules) Advanced development skills in: Apex Lightning Web Components (LWC) Salesforce Flow Experience designing enterprise integration patterns connecting Agentforce with external systems.<br> Excellent stakeholder management and client-facing communication skills with the ability to present solutions to both technical and executive audiences.<br> Understanding of the Agentforce consumption model.<br> Experience with Agentforce Testing Center or equivalent AI testing frameworks.<br> Nice to Have Knowledge of Model Context Protocol (MCP).<br> Experience with Agent-to-Agent (A2A) integration patterns.<br> Experience designing headless Salesforce architectures.<br> Agentblazer Legend status.<br> Agentforce FDE Ready Practitioner accreditation.<br> Preferred Salesforce Certifications Salesforce Application Architect Salesforce Data Cloud Consultant Salesforce Agentforce Specialist</span> </div>

<p>We are growing our engineering team and are looking for a technically strong Engineering Manager to lead one of our delivery teams. This is a delivery-focused leadership role: your job is to turn a cross-functional roadmap into shipped, high-quality software on a predictable cadence, while providing the technical insight and guidance needed to keep delivery pragmatic, reliable, and well-executed. The team has two clear areas of ownership. First, the Hotels domain, the guest-facing and hotel-operations features that serve our enterprise hotel customers, from in-room and on-property ordering through to stay-management and guest-services capabilities. Second, third-party integrations such as POS's (Point of Sale), PMS (Property Management System), payment gateways, and loyalty connections that the Hotels business depends on, where you own the technical relationship end-to-end. You own the throughput, quality, and getting integration-heavy work delivered efficiently. This role reports to the Engineering Director.</p><p>Your mission</p><p>You own the delivery health of your squad end-to-end. You take a mixed backlog of integration, platform, and product work and ship it predictably, at high quality, with the dependencies managed and the risks surfaced early.</p><p>Key responsibilities</p><ul><li>Manage a team of full stack engineers, actively drive their growth, performance, and engagement. Mobile engineers are a possibility as well.</li><li>Turn quarterly roadmaps into a realistic delivery plan, track progress, and report status with metrics against company goals.</li><li>Run tight agile processes and continuously improve them based on delivery metrics.</li><li>Manage dependencies across different domains, with external integration partners, escalating and resolving blockers early (e.g. with POS systems etc.).</li><li>Review RFCs and technical proposals, providing feedback on design, scalability, security, and integration risk, and helping the team converge on sound decisions before things enter a delivery commitment.</li><li>Lead technical discussions with third-party integration partners, translating between partner APIs and constraints and wi-Q's architecture, and owning the technical feasibility view in those conversations.</li><li>Improve engineering process and delivery metrics (for example cycle time, deployment frequency, change-failure rate, and defect escape rate), and use them to drive decisions.</li><li>Uphold security and compliance obligations relevant to the team's work (e.g. PCI DSS etc.), embedding them into how the squad builds rather than treating them as an afterthought.</li><li>Draft and track team OKRs and engineering KPIs (e.g. DORA); when the team is off track, show what is being done about it.</li><li>Coordinate across Product, Customer Success, DevOps, and the Foodics counterparts to deliver shared goals.</li></ul><p>What success looks like (first 6-12 months)</p><ul><li>The team has a predictable delivery cadence, with sprint and quarterly commitments met at a consistent and improving hit rate.</li><li>Cross-team and third-party dependencies are visible and managed early, so the squad is rarely blocked and rarely blocks others.</li><li>Release quality is measurably higher: fewer escaped defects and a faster, safer path from merge to production.</li><li>Delivery from the team contributes directly to improving TTV for new customer go-lives and to protecting NRR through platform stability.</li><li>The team is fully staffed, ramped, and retained, with a clear working model and a healthy engagement signal.</li><li>Product, Commercial, and Customer Success stakeholders trust the team's estimates, status, and risk flags.</li></ul><p>Your skills</p><ul><li>Demonstrated experience managing a team of software engineers, with a track record of delivering on commitments predictably.</li><li>Strong command of agile and lean delivery practices (sprints, kanban, estimation, refinement) and the maturity to adapt process to context rather than apply it dogmatically.</li><li>Proven ability to manage dependencies and coordinate delivery across multiple teams and external partners.</li><li>Technically strong: able to review RFCs and technical proposals critically, reason about architecture, scalability, and integration risk, scope engineering spikes, and hold your own in technical discussions with engineers and third-party partners.</li><li>Fluency with delivery and quality metrics, and the discipline to lead with data over anecdote.</li><li>Excellent written and verbal communication in English; able to lead with the conclusion, be concise, and be specific about blockers and decisions needed.</li><li>Ability to translate technical concepts into easily digestible language for non-technical business stakeholders.</li><li>Experience operating in multi-market or multi-region environments, ideally with distributed and remote teams.</li><li>Comfortable in a fast-moving scale-up where priorities shift and ambiguity is normal.</li></ul><p>Nice-to-haves</p><ul><li>Experience in B2B SaaS with high-volume B2C traffic patterns.</li><li>Background in hospitality-tech, food and beverage, payments, or last-mile delivery.</li><li>Working knowledge of our stack: Google Cloud Platform (GCP), Kubernetes, GitHub, PHP/Symfony, NodeJS, Typescript, and a mobile stack (Capacitor, Ionic, or React Native).</li><li>Familiarity with integrating third-party systems (POS, PMS, payment gateways, delivery aggregators) and the reliability challenges they bring.</li><li>Experience hiring and scaling engineering teams in the MENA region.</li><li>BSc or MSc degree (or equivalent experience).</li></ul><p>What we offer</p><ul><li>Curated career progression planning with formal yearly reviews and informal check-ins along the way.</li><li>Encouragement to grow into a Feature Development Lead.</li><li>A competitive salary.</li><li>Ample time to learn new concepts - including paid development and business-related conferences.</li><li>Fully remote working, no commuting expenses.</li><li>Flexible work hours. We'll need you around for a 10am stand-up; otherwise you work as and when it suits you.</li><li>25 days holiday (plus bank holidays), with an additional day per year of service.</li><li>Regular all-company socials and quarterly team socials.</li><li>A team that genuinely likes learning and shipping together.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Demonstrated experience managing a team of software engineers, with a track record of delivering on commitments predictably.</li><li>Strong command of agile and lean delivery practices (sprints, kanban, estimation, refinement) and the maturity to adapt process to context rather than apply it dogmatically.</li><li>Proven ability to manage dependencies and coordinate delivery across multiple teams and external partners.</li><li>Technically strong: able to review RFCs and technical proposals critically, reason about architecture, scalability, and integration risk, scope engineering spikes, and hold your own in technical discussions with engineers and third-party partners.</li><li>Fluency with delivery and quality metrics, and the discipline to lead with data over anecdote.</li><li>Excellent written and verbal communication in English; able to lead with the conclusion, be concise, and be specific about blockers and decisions needed.</li><li>Ability to translate technical concepts into easily digestible language for non-technical business stakeholders.</li><li>Experience operating in multi-market or multi-region environments, ideally with distributed and remote teams.</li><li>Comfortable in a fast-moving scale-up where priorities shift and ambiguity is normal.</li><li>Experience in B2B SaaS with high-volume B2C traffic patterns.</li><li>Background in hospitality-tech, food and beverage, payments, or last-mile delivery.</li><li>Working knowledge of our stack: Google Cloud Platform (GCP), Kubernetes, GitHub, PHP/Symfony, NodeJS, Typescript, and a mobile stack (Capacitor, Ionic, or React Native).</li><li>Familiarity with integrating third-party systems (POS, PMS, payment gateways, delivery aggregators) and the reliability challenges they bring.</li><li>Experience hiring and scaling engineering teams in the MENA region.</li><li>BSc or MSc degree (or equivalent experience).</li></ul>