cognitive ai product manager

Arab Solutions

<div>
 
 Job Title:
 
 Cognitive AI Product Manager
 
 
 
 Job Description
 
 
 
 The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.
 
 
 
 Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.
 </li>
 <li>
 Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.
 </li>
 <li>
 Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.
 </li>
 <li>
 Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).
 </li>
 <li>
 Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.
 </li>
 <li>
 Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).
 </li>
 <li>
 Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.
 </li>
 <li>
 Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.
 </li>
 <li>
 Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.
 </li>
 <li>
 Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).
 </li>
 <li>
 Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.
 </li>
 <li>
 Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.
 </li>
 <li>
 Excellent stakeholder management across technical, commercial, legal, security, and operations teams.
 </li>
 <li>
 Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.
 </li>
 <li>
 Clear communication and narrative-building for executive and technical audiences.
 
 
 </li>
 </ul>
 
 Potential Background
 
 
 
 <ul>
 <li>
 8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.
 </li>
 <li>
 Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).
 </li>
 <li>
 Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.
 </li>
 <li>
 Experience working with security, privacy, and data governance requirements in regulated environments.
 </li>
 <li>
 Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.
 </li>
 <li>
 Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus.
 
 
 </li>
 </ul>
 Skills: rag/kb,scope control,multicloud,governance,ai/ml,sis,sdks,cloud,documentation,stakeholder,data,slas/olas,analytics
</div>

Cognitive AI Product Manager

PROZ TECHNOLOGIES

JOB DESCRIPTIONThe Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.DUTIES &amp; RESPONSIBILITIES<ul><li>Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.</li><li>Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.</li><li>Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.</li><li>Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).</li><li>Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.</li><li>Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).</li><li>Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.</li><li>Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.</li><li>Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.</li><li>Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.</li></ul>SKILLS &amp; ABILITIES<ul><li>Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).</li><li>Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.</li><li>Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.</li><li>Excellent stakeholder management across technical, commercial, legal, security, and operations teams.</li><li>Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.</li><li>Clear communication and narrative-building for executive and technical audiences</li></ul>POTENTIAL BACKGROUND<ul><li>8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.</li><li>Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).</li><li>Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.</li><li>Experience working with security, privacy, and data governance requirements in regulated environments.</li><li>Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.</li><li>Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus</li></ul>PREFERRED TOOLS / SOFT SKILLS<ul><li>Product delivery: Azure DevOps Boards, roadmapping tools (Aha!/Jira Product Discovery)</li><li>Analytics: PostHog, KPI dashboards (Power BI)</li><li>API/product artifacts: OpenAPI/Swagger, Postman, documentation portals (Backstage/ReadMe-style)</li><li>Collaboration: Miro, Figma, MS Teams</li></ul>Soft skills<ul><li>Strong facilitation and workshop leadership (requirements, prioritization, discovery)</li><li>Structured thinking and ability to simplify complex technical domains into clear product increments</li><li>Commercial awareness: scope control, value-based prioritization, and vendor management</li><li>Customer-centric mindset with bias toward measurable adoption and developer productivity</li><li>High ownership and accountability; ability to unblock delivery across teams</li><li>Confident communication with executives, architects, and vendors; crisp written documentation</li></ul>Job Type: PermanentPay: Up to QAR23,000.00 per monthWork Location: In person

<div>
 
 Job Title:
 
 Cognitive AI Project Manager
 
 
 
 Job Description
 
 
 
 The Cognitive AI Project Manager is responsible for planning, coordinating, and delivering the Cognitive AI program of work within TASMU 2.0, ensuring multi-vendor teams deliver agreed scope, milestones, and acceptance outcomes on time and within governance. The role manages dependencies across platform foundations (multicloud, security, data, integration, observability), vendor build streams (inference, RAG/KB, fine-tuning, MCP, analytics), and operational readiness activities (SLOs, runbooks, ITSM/SIEM integration). The Project Manager drives program cadence, RAID management, stakeholder communications, and contractual deliverables, ensuring solutions are production-ready, compliant, and ready for adoption by TASMU customers.
 
 
 
 Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Own end-to-end delivery plan: milestones, workstreams, resource plan, budget tracking, and integrated master schedule.
 </li>
 <li>
 Manage multi-vendor delivery execution: workstream coordination, dependency mapping, and delivery governance (weekly cadence, steering inputs).
 </li>
 <li>
 Maintain RAID (risks, assumptions, issues, dependencies) register and drive mitigation/closure with accountable owners.
 </li>
 <li>
 Ensure delivery aligns to TASMU architecture/security/data governance gates (design reviews, approvals, exception handling).
 </li>
 <li>
 Coordinate acceptance management: definition of completion criteria, evidence collection, test plans, and sign-off processes (KPIs/SLOs).
 </li>
 <li>
 Drive operational readiness: ITSM integration, monitoring/observability onboarding, SIEM logging, DR planning, and L1/L2/L3 handover.
 </li>
 <li>
 Manage change control: scope baseline, CR process, impact analysis, and stakeholder approvals.
 </li>
 <li>
 Run stakeholder communication: status reporting, executive summaries, action tracking, and escalation management.
 </li>
 <li>
 Coordinate vendor deliverables for documentation and enablement (IaC repos, runbooks, training materials, release notes).
 </li>
 <li>
 Support procurement/commercial governance: align delivery artefacts to contract schedules, SLAs, and service support obligations.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <ul>
 <li>
 Strong project management capability in complex, multi-vendor technology programs with governance and contractual delivery. Ability to manage technical dependencies across cloud, AI, data, security, and operations workstreams.
 </li>
 <li>
 Skilled in planning, scheduling, and delivery control (critical path, earned progress, milestone tracking).
 </li>
 <li>
 Strong RAID, change management, and stakeholder communication skills, including executive-level reporting.
 </li>
 <li>
 Understanding of cloud-native delivery practices (agile + DevSecOps, IaC/GitOps, environments, release management).
 </li>
 <li>
 Ability to drive outcomes through influence and structured governance, not just task tracking.
 
 
 </li>
 </ul>
 
 Potential Background
 
 
 
 <ul>
 <li>
 7+ years in project/program management delivering enterprise platforms or cloud/data/AI initiatives.
 </li>
 <li>
 Demonstrated experience coordinating multiple SIs/vendors and managing acceptance criteria and contractual deliverables.
 </li>
 <li>
 Experience working in regulated environments (government, telco, critical infrastructure) with security/compliance gates.
 </li>
 <li>
 Familiarity with cloud landing zones, Kubernetes platforms, observability, and ITSM/SIEM integration is preferred.
 </li>
 <li>
 Experience with hybrid delivery methods (waterfall governance + agile execution) and release-to-production processes.
 </li>
 <li>
 Certifications preferred: PMP/PRINCE2, Agile/Scrum, ITIL awareness (optional).
 
 
 </li>
 </ul>
 Skills: scrum,budget tracking,devsecops,stakeholder,slas,itil awareness,iac/gitops,itsm/siem,cloud,cr process,data,ai initiatives,prince2,pmp,agile,raid
</div>

Cognitive AI Project Manager

Anotech

<div>
 
 
 Job Purpose:
 
 
 
 
 
 
 The Cognitive AI Project Manager is responsible for planning, coordinating, and delivering the Cognitive AI program of work, ensuring multi-vendor teams deliver agreed scope, milestones, and acceptance outcomes on time and within governance. The role manages dependencies across platform foundations (multicloud, security, data, integration, observability), vendor build streams (inference, RAG/KB, fine-tuning, MCP, analytics), and operational readiness activities (SLOs, runbooks, ITSM/SIEM integration). The Project Manager drives program cadence, RAID management, stakeholder communications, and contractual deliverables, ensuring solutions are production-ready, compliant, and ready for adoption by customers.
 
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 
 
 
 <ul>
 <li>
 7+ years in project/program management delivering enterprise platforms or cloud/data/AI initiatives.
 </li>
 <li>
 Demonstrated experience coordinating multiple SIs/vendors and managing acceptance criteria and contractual deliverables.
 </li>
 <li>
 Experience working in regulated environments (government, telco, critical infrastructure) with security/compliance gates.
 </li>
 <li>
 Familiarity with cloud landing zones, Kubernetes platforms, observability, and ITSM/SIEM integration is preferred.
 </li>
 <li>
 Experience with hybrid delivery methods (waterfall governance + agile execution) and release-to-production processes.
 </li>
 <li>
 Certifications preferred: PMP/PRINCE2, Agile/Scrum, ITIL awareness (optional).
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Abilities:
 
 
 
 
 
 <ul>
 <li>
 Strong project management capability in complex, multi-vendor technology programs with governance and contractual delivery.
 </li>
 <li>
 Ability to manage technical dependencies across cloud, AI, data, security, and operations workstreams.
 </li>
 <li>
 Skilled in planning, scheduling, and delivery control (critical path, earned progress, milestone tracking).
 </li>
 <li>
 Strong RAID, change management, and stakeholder communication skills, including executive-level reporting.
 </li>
 <li>
 Understanding of cloud-native delivery practices (agile + DevSecOps, IaC/GitOps, environments, release management).
 </li>
 <li>
 Ability to drive outcomes through influence and structured governance, not just task tracking.
 </li>
 </ul>
 
 
 
 
 
 Tools:
 
 
 
 
 
 <ul>
 <li>
 Planning &amp; delivery: MS Project / Smartsheet, Jira/Azure DevOps Boards, Confluence
 </li>
 <li>
 Reporting: Power BI (status dashboards), Excel/Sheets for RAID and financial tracking
 </li>
 <li>
 Collaboration: MS Teams, Miro, Figma
 </li>
 <li>
 Documentation &amp; control: SharePoint/GitHub (evidence repositories, IaC deliverables tracking)
 </li>
 </ul>
 
 
</div>

QNB Group

<div>
 
 About QNB
 
 
 
 Established in 1964 as the country&rsquo;s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.
 
 
 QNB Group&rsquo;s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.
 
 
 QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard &amp; Poor&rsquo;s (A), Moody&rsquo;s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.
 
 
 Based on the Group&rsquo;s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.
 
 
 QNB Group has an active community support program and sponsors various social, educational and sporting events.
 
 
 
 Job Summary
 
 
 
 The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, GenAI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.
 
 
 Main Responsibilities
 
 
 <ul>
 <li>
 Shareholder &amp; Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data &amp; AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group&rsquo;s exposure to Data &amp; AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data &amp; Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data &amp; Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics &amp; AI solutions to user requirements keeping in mind the Group&rsquo;s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent.
 </li>
 <li>
 Customer (Internal &amp; External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank&rsquo;s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group&rsquo;s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank&rsquo;s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group&rsquo;s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.
 </li>
 <li>
 Internal (Processes, Products, Regulatory):
 </li>
 <li>
 Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling.
 </li>
 <li>
 Learning &amp; Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects.
 </li>
 <li>
 Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) &amp; Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI.
 </li>
 <li>
 Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time
 
 
 </li>
 </ul>
 
 Education And Experience Requirements
 
 
 
 <ul>
 <li>
 University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field.
 </li>
 <li>
 At least 10 years of relevant experience, preferably within a Data Scientist or related role.
 </li>
 <li>
 A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable.
 </li>
 <li>
 Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques.
 </li>
 <li>
 Sound knowledge and implementation experience on LLM based solutions.
 </li>
 <li>
 Prior experience in banking is desirable
 </li>
 <li>
 Sound knowledge in cloud technologies ,Python and full stack engineering is must.
 
 
 </li>
 </ul>
 Note: you will be required to attach the following:
 
 
 <ul>
 <li>
 Resume/CV
 </li>
 <li>
 Copy of Passport or QID
 </li>
 <li>
 Copy of Education Certificate
 </li>
 </ul>
</div>

QNB3619 - Assistant Vice President, Data Science

Starise

<div>
 
 
 Company Description
 
 
 
 Starise is an AI-powered reputation platform helping businesses strengthen their online presence by making it effortless for satisfied customers to leave authentic reviews in under 30 seconds. By closing the gap between real customer experiences and what is reflected online, Starise enables businesses to build stronger visibility and credibility across platforms such as Google and TripAdvisor.
 
 
 
 
 
 Built for hospitality and other customer-facing brands, Starise combines customizable feedback flows, multi-location management, and intelligent automation to help businesses consistently capture and amplify positive customer sentiment. At our core, we are an AI-first company committed not only to building AI-powered products, but also to operating with an AI-native mindset across product development, workflows, and execution.
 
 
 
 
 
 
 Role Description
 
 
 
 We are seeking an AI-First Full Stack Developer for a full-time, on-site role based in Doha, Qatar.
 
 
 
 
 
 This is not a traditional software development role. We are looking for someone who is deeply comfortable working in an AI-powered development environment and sees tools like Codex, Claude, Cursor, Copilot, and other AI coding collaborators as a natural extension of how great software should be built.
 
 
 
 
 
 As a Full Stack Developer at Starise, you will build and maintain features across both frontend and backend systems while using AI-assisted workflows to move faster, think bigger, and execute better. You will work closely with product and design to turn ideas into elegant, scalable solutions, take ownership of features from concept to deployment, and help embed AI into both our product and our engineering culture.
 
 
 
 
 
 The ideal candidate is not just technically strong, but also AI-friendly, AI-curious, and AI-native in the way they approach coding, debugging, documentation, testing, and product thinking. We want someone who actively leverages AI tools to improve development speed, code quality, system design, and problem-solving effectiveness.
 
 
 
 
 
 You will contribute to architecture decisions, build reliable APIs and backend services, create intuitive frontend experiences, optimize application performance, and continuously improve how we ship software using modern AI-enabled development practices.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain full stack product features across frontend and backend systems
 </li>
 <li>
 Use AI-powered development tools such as Codex, Claude, Cursor, Copilot, and similar platforms to accelerate coding, prototyping, debugging, refactoring, and documentation
 </li>
 <li>
 Work closely with product and design teams to translate ideas into simple, scalable, and user-friendly product experiences
 </li>
 <li>
 Take ownership of features end-to-end, from architecture and implementation to testing, deployment, and iteration
 </li>
 <li>
 Design and integrate APIs, databases, and backend services that are reliable, secure, and scalable
 </li>
 <li>
 Help build AI-powered product capabilities and contribute to the integration of automation and intelligence into core workflows
 </li>
 <li>
 Improve engineering productivity by identifying opportunities to incorporate AI into development processes and team workflows
 </li>
 <li>
 Write clean, maintainable, and efficient code while using modern tools and best practices to maximize output and quality
 </li>
 <li>
 Troubleshoot technical issues, optimize performance, and continuously improve platform reliability
 </li>
 <li>
 Contribute to a fast-moving startup culture that values initiative, speed, experimentation, and practical innovation
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong full stack software development experience across frontend and backend technologies
 </li>
 <li>
 Experience building scalable web applications, APIs, and database-backed systems
 </li>
 <li>
 Strong familiarity with modern web stacks such as TypeScript, React, Node.js, or similar technologies
 </li>
 <li>
 Demonstrated comfort using AI-powered coding tools and assistants as part of day-to-day software development
 </li>
 <li>
 AI-first mindset: someone who naturally thinks about how AI can improve code quality, development speed, testing, product design, and execution
 </li>
 <li>
 Experience or strong interest in building AI-powered features, workflow automation, or intelligent product experiences
 </li>
 <li>
 Strong problem-solving and analytical skills, with the ability to independently break down complex technical challenges
 </li>
 <li>
 Ability to move quickly, take ownership, and thrive in a startup environment with high autonomy
 </li>
 <li>
 Effective communication and collaboration skills across technical and non-technical teams
 </li>
 <li>
 Experience with cloud infrastructure, deployment pipelines, and modern engineering practices is highly desirable
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field
 </li>
 </ul>
 
 
 
 
 
 Ideal Candidate Profile
 
 
 <ul>
 <li>
 AI-native in how they build software
 </li>
 <li>
 Comfortable collaborating with AI tools rather than resisting them
 </li>
 <li>
 Excited by the idea of using AI to become a faster, sharper, more effective developer
 </li>
 <li>
 Able to combine engineering fundamentals with modern AI-assisted execution
 </li>
 <li>
 Curious, adaptive, and eager to help shape an engineering culture that is truly AI-first
 </li>
 </ul>
</div>

AI-First Full Stack Dev

مدير أعمالي PA

<div>
 
 
 Chief Executive Officer (CEO) &amp; General Manager Mudir Amali P A
 
 
 
 
 Company Overview
 
 
 
 Mudir Amali ("PA") is a pioneering technology start-up based in Doha, Qatar. We offer a smart personal-assistant platform that combines advanced artificial intelligence with a network of trained human delegates to manage customers&rsquo; day-to-day tasks.
 
 
 
 
 
 Users interact with our service through natural-language chat (via our App) and can request anything from document delivery and food &amp; coffee delivery to rides, shopping, luggage/cargo delivery, medicine delivery, security &amp; safety equipment, flowers &amp; chocolate, and other errands.
 
 
 
 
 
 The platform integrates modern AI to understand requests, assigns a real assistant to execute the task, and provides real-time order tracking and fast execution.
 
 
 
 
 
 Our vision is to be the first choice for daily personal assistance, enabling users to reclaim their time and focus on what matters. Our mission is to connect users with reliable human assistants who provide diverse services and fast delivery to improve quality of life.
 
 
 
 
 
 Mudir Amali offers:
 
 <ul>
 <li>
 24/7 technical support
 </li>
 <li>
 Secure payment options (Visa, MasterCard, Apple Pay, bank transfer)
 </li>
 <li>
 Flexible subscription packages with discounts and VIP support
 </li>
 </ul>
 
 
 
 
 We serve all major areas in Qatar, including Doha, Al Rayyan, Al Wakrah, Lusail, and The Pearl, and have tens of thousands of active users and 150+ partners.
 
 
 🌐 https://www.mudiramali-pa.com
 
 
 
 
 
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Chief Executive Officer (CEO) &amp; General Manager
 
 to lead Mudir Amali into its next phase of growth.
 
 
 The CEO will report to the board of directors and will have full P&amp;L responsibility. This role will shape strategy, oversee operations, lead product execution, manage AI-driven systems and human operations, and drive expansion beyond Qatar.
 
 
 
 
 
 We are looking for a visionary leader with strong operational excellence, entrepreneurial mindset, and deep understanding of scaling technology-enabled services in the Middle East.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Strategic Leadership
 
 
 <ul>
 <li>
 Develop and execute long-term strategy aligned with company vision
 </li>
 <li>
 Identify new markets, partnerships, and revenue streams
 </li>
 <li>
 Lead expansion across GCC and beyond
 </li>
 <li>
 Leverage AI insights and data for strategic decision-making
 </li>
 </ul>
 
 
 Operational Management
 
 
 <ul>
 <li>
 Oversee daily operations of the AI-powered platform
 </li>
 <li>
 Ensure fast execution, real-time tracking, and high service quality
 </li>
 <li>
 Lead cross-functional teams (product, engineering, logistics, support, marketing)
 </li>
 <li>
 Manage and optimize the human assistant network
 </li>
 </ul>
 
 
 Technology &amp; Innovation
 
 
 <ul>
 <li>
 Drive innovation in AI, Natural Language Processing (NLP), and automation
 </li>
 <li>
 Adopt emerging technologies (AI, predictive analytics, etc.)
 </li>
 <li>
 Ensure strong data security and compliance
 </li>
 </ul>
 
 
 Financial &amp; Administrative Leadership
 
 
 <ul>
 <li>
 Manage budgets, forecasts, and financial performance
 </li>
 <li>
 Optimize pricing and subscription strategies
 </li>
 <li>
 Lead fundraising, investor relations, and board reporting
 </li>
 </ul>
 
 
 Partnerships &amp; Stakeholders
 
 
 <ul>
 <li>
 Build relationships with corporate clients and government entities
 </li>
 <li>
 Expand B2B services and recurring operations
 </li>
 <li>
 Represent the company publicly and strategically
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Candidate Qualifications
 
 
 <ul>
 <li>
 
 Experience:
 
 15+ years in executive leadership, operations, or general management
 </li>
 <li>
 
 Tech Exposure:
 
 Experience with AI-driven products, apps, or tech platforms
 </li>
 <li>
 
 Operational Strength:
 
 Proven ability to scale operations across multiple services
 </li>
 <li>
 
 Leadership:
 
 Strong track record building high-performing teams
 </li>
 <li>
 
 Strategy:
 
 Experience in market expansion and partnerships
 </li>
 <li>
 
 Finance:
 
 Strong financial and analytical capabilities
 </li>
 <li>
 
 Communication:
 
 Fluent Arabic &amp; English (Arabic is a MUST)
 </li>
 <li>
 
 Education:
 
 Bachelor&rsquo;s required; MBA preferred
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits &amp; Opportunities
 
 
 <ul>
 <li>
 Lead a
 
 high-impact, mission-driven company
 
 </li>
 <li>
 Work on
 
 cutting-edge AI and digital assistant technology
 
 </li>
 <li>
 Scale a platform with
 
 strong traction in the Middle East
 
 </li>
 <li>
 Competitive compensation + incentives + potential equity
 </li>
 <li>
 Fast-paced, creative, and ambitious environment
 </li>
 </ul>
 
 
 
 
 
 
 
 
 How to Apply
 
 
 
 Apply directly on LinkedIn.
 
 
 Qualified candidates will be contacted.
 
 
 
 
 
 _________________________________
 
 
 
 
 
 
 فرصة عمل: الرئيس التنفيذي (CEO) والمدير العام &ndash; مدير أعمالي P A
 
 
 
 
 نبذة عن الشركة
 
 
 
 شركة
 
 مدير أعمالي (PA)
 
 هي شركة تقنية ناشئة رائدة مقرها الدوحة، قطر. نقدم منصة مساعد شخصي ذكية تجمع بين
 
 الذكاء الاصطناعي المتقدم
 
 وشبكة من المساعدين البشريين لتنفيذ المهام اليومية للعملاء.
 
 
 يمكن للمستخدمين التفاعل معنا عبر التطبيق أو واتساب باستخدام اللغة الطبيعية، وطلب خدمات مثل:
 
 
 توصيل المستندات، توصيل الطعام والقهوة، المشاوير، التسوق، نقل الأغراض، توصيل الأدوية، معدات السلامة، الهدايا، وغيرها من المهام اليومية.
 
 
 
 
 
 تعتمد المنصة على الذكاء الاصطناعي لفهم الطلبات، ثم تعيين مساعد حقيقي لتنفيذها، مع تتبع مباشر وسرعة في التنفيذ.
 
 
 رؤيتنا أن نكون الخيار الأول للمساعدة الشخصية اليومية، ونمكن المستخدمين من استعادة وقتهم والتركيز على ما يهمهم.
 
 
 مهمتنا هي ربط المستخدمين بمساعدين موثوقين يقدمون خدمات متنوعة بسرعة وكفاءة.
 
 
 نقدم:
 
 <ul>
 <li>
 دعم فني 24/7
 </li>
 <li>
 وسائل دفع آمنة (بطاقات، Apple Pay، تحويل بنكي)
 </li>
 <li>
 اشتراكات مرنة مع مزايا VIP
 </li>
 </ul>
 
 نغطي جميع مناطق قطر ولدينا عشرات الآلاف من المستخدمين وأكثر من 150 شريك.
 
 
 🌐 https://www.mudiramali-pa.com
 
 
 
 
 
 
 
 
 
 
 
 
 ملخص الدور
 
 
 
 نبحث عن
 
 رئيس تنفيذي (CEO) ومدير عام
 
 لقيادة الشركة في مرحلة النمو القادمة.
 
 
 سيكون المسؤول عن:
 
 <ul>
 <li>
 وضع الاستراتيجية
 </li>
 <li>
 إدارة العمليات اليومية
 </li>
 <li>
 قيادة تطوير المنتج
 </li>
 <li>
 إدارة الأنظمة المعتمدة على الذكاء الاصطناعي
 </li>
 <li>
 التوسع داخل وخارج قطر
 </li>
 </ul>
 
 نبحث عن قائد صاحب رؤية، يجمع بين الخبرة التشغيلية والعقلية الريادية.
 
 
 
 
 
 
 
 
 
 المسؤوليات الرئيسية
 
 
 
 
 القيادة الاستراتيجية
 
 
 <ul>
 <li>
 وضع وتنفيذ استراتيجية طويلة المدى
 </li>
 <li>
 استكشاف أسواق وفرص جديدة
 </li>
 <li>
 قيادة التوسع في الخليج والمنطقة
 </li>
 <li>
 استخدام بيانات الذكاء الاصطناعي في اتخاذ القرار
 </li>
 </ul>
 
 
 الإدارة التشغيلية
 
 
 <ul>
 <li>
 إدارة العمليات اليومية للمنصة
 </li>
 <li>
 ضمان سرعة التنفيذ وجودة الخدمة
 </li>
 <li>
 قيادة الفرق المختلفة
 </li>
 <li>
 إدارة شبكة المساعدين
 </li>
 </ul>
 
 
 التقنية والابتكار
 
 
 <ul>
 <li>
 تطوير استخدام الذكاء الاصطناعي والتقنيات الحديثة
 </li>
 <li>
 تبني تقنيات جديدة لتحسين الأداء
 </li>
 <li>
 ضمان أمن البيانات والامتثال
 </li>
 </ul>
 
 
 الإدارة المالية
 
 
 <ul>
 <li>
 إدارة الميزانيات والتكاليف
 </li>
 <li>
 تطوير استراتيجيات التسعير والاشتراكات
 </li>
 <li>
 إدارة المستثمرين وجمع التمويل
 </li>
 </ul>
 
 
 الشراكات
 
 
 <ul>
 <li>
 بناء علاقات مع الشركات والجهات الحكومية
 </li>
 <li>
 تطوير خدمات B2B
 </li>
 <li>
 تمثيل الشركة أمام الشركاء والإعلام
 </li>
 </ul>
 
 
 
 
 
 
 
 
 المؤهلات المطلوبة
 
 
 <ul>
 <li>
 خبرة لا تقل عن
 
 15 سنة
 
 في الإدارة أو القيادة التنفيذية
 </li>
 <li>
 خبرة في تطبيقات تقنية أو منتجات تعتمد على الذكاء الاصطناعي
 </li>
 <li>
 قدرة عالية على إدارة العمليات وتوسيعها
 </li>
 <li>
 مهارات قيادية قوية
 </li>
 <li>
 خبرة في التوسع وبناء الشراكات
 </li>
 <li>
 مهارات مالية وتحليلية ممتازة
 </li>
 <li>
 إتقان اللغة العربية واللغة الإنجليزية (اللغة العربية إلزامية)
 </li>
 <li>
 بكالوريوس كحد أدنى، ويفضل MBA
 </li>
 </ul>
 
 
 
 
 
 
 
 
 المزايا
 
 
 <ul>
 <li>
 قيادة شركة ذات تأثير حقيقي
 </li>
 <li>
 العمل على تقنيات حديثة ومتقدمة
 </li>
 <li>
 فرصة للنمو والتوسع في السوق
 </li>
 <li>
 راتب تنافسي + حوافز + إمكانية أسهم
 </li>
 <li>
 بيئة عمل سريعة ومبتكرة
 </li>
 </ul>
 
 
 
 
 
 
 
 
 طريقة التقديم
 
 
 
 التقديم مباشرة عبر موقع LinkedIn
 
 
 سيتم التواصل مع المرشحين المؤهلين.
 
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