وظائف موديل في قطر

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>About the Role</b><p>Explore new horizons and drive innovation across complex business environments. In this role, you will collaborate with cross-functional teams, contribute to strategic decisions, and deliver impactful solutions across multiple business areas. You will play a key role in shaping operating models, guiding transformation initiatives, and enabling organizations to achieve high performance.</p><br><br><b>Key Responsibilities</b><ul><li>Conduct <b>qualitative and quantitative analysis</b> to support strategic and transformation initiatives</li><li>Evaluate <b>global, economic, technology, and social trends</b> to inform business decision-making</li><li>Apply deep <b>functional and industry expertise</b> to solve complex business challenges</li><li>Develop <b>strategic recommendations</b> to drive growth and enhance operating model effectiveness</li><li>Design and implement solutions across <b>business, technology, workforce, and operations</b></li><li>Define and structure <b>enterprise-wide strategic programs</b> to optimize performance and scalability</li><li>Collaborate with stakeholders across multiple functions to ensure alignment and delivery of outcomes</li></ul><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Conduct qualitative and quantitative analysis to support strategic and transformation initiatives</p><p>Evaluate global, economic, technology, and social trends to inform business decision-making</p><p>Apply deep functional and industry expertise to solve complex business challenges</p><p>Develop strategic recommendations to drive growth and enhance operating model effectiveness</p><p>Design and implement solutions across business, technology, workforce, and operations</p><p>Define and structure enterprise-wide strategic programs to optimize performance and scalability</p><p>Collaborate with stakeholders across multiple functions to ensure alignment and delivery of outcomes</p><p><strong>Core Qualifications</strong></p><p>Master proficiency in Operating Model Development</p><p>Master proficiency in Information Technology Strategy</p><p>Minimum 5 years of relevant experience in strategy, consulting, or transformation roles</p><p>Bachelor's degree in a relevant field (e.g., Business, Engineering, Computer Science, Economics)</p><p><strong>Preferred Skills</strong></p><p>Master proficiency in Business Case Development</p><p>Expert proficiency in Value Architecture &amp; Value Realization</p><p>Advanced proficiency in Cloud Strategy and Assessment</p><p>Advanced proficiency in Strategic Planning</p><p>Intermediate proficiency in Change Management</p><p><strong>What Success Looks Like</strong></p><p>Ability to translate complex business challenges into clear, actionable strategies</p><p>Demonstrated capability to design and implement high-performing operating models</p><p>Strong stakeholder management and ability to influence senior leadership decisions</p><p>Delivery of measurable business impact through data-driven insights and structured execution</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum 5 years of relevant experience in strategy, consulting, or transformation roles</p><p>Bachelor's degree in a relevant field (e.g., Business, Engineering, Computer Science, Economics)</p><p></p></section>

Mid/Senior Solution Architect – Qatar<br>A fantastic opportunity for a skilled Solution Architect do join a global AI/Deep Tech company, as part of their expansion into the Middle East.<br>In this role you will join our pre-sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI- powered solutions.<br>***Applicants must have legal authorization to work in Qatar***<br>Requirements:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., Sage Maker, Vertex AI, Azure ML), including sovereign, on-premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (v LLM, llama.cpp, Open VINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, Tensor Flow, Hugging Face). Must be available to travel as needed for meetings, conferences, and project requirements. Languages: Arabic and English<br>Nice to Have:•Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.•Experience with AI model optimization, quantization, or deployment to edge devices.•Hands-on experience designing RAG pipelines and/or multi-agent systems..•Experience designing data architectures (batch & streaming) and working with big data technologies.•Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.<br><br>By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/)

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As Team Leader you will provide personalized client experience, build strong client relationships and meet or exceed sales targets and KPIs, you will be a role model for your colleagues among the sales team and support the management team in day-to-day tasks.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Experience:</strong></p> <ul> <li>Previous experience of minimum 4 years in sales and in fashion or luxury sector</li> </ul> <p><strong>Competencies:</strong></p> <ul> <li>High product and fashion sensitivity and knowledge</li> <li>Ability to understand and go beyond customers needs to provide them the best customer experience.</li> <li>Taste for challenge and a team spirit</li> <li>Sense of service, natural curiosity, openminded, optimism and empathy are essential to your success.</li> </ul><p></p></section>

Multiverse Computing<br><br>Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.<br><br>Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.<br><br>Why join us? <br><br>We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”<br><br>This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI- powered solutions.<br><br>Key requirements:<br><br><br>Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., Sage Maker, Vertex AI, Azure ML), including sovereign, on-premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (v LLM, llama.cpp, Open VINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, Tensor Flow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: Arabic and English<br><br><br>Preferred Qualifications:<br><br><br>Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands-on experience designing RAG pipelines and/or multi-agent systems.. Experience designing data architectures (batch & streaming) and working with big data technologies. Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.<br><br><br>Location: Applicants must have legal authorization to work in the country where the position is based<br><br>Perks & Benefits:<br><br><br>Equal pay guaranteed. Signing bonus. Relocation package (if applicable). Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach.<br><br><br>As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.<br><br>Come and join our multicultural team!<br><br>5 locations<br><br>+27 languages

BUSINESS INTRODUCTIONMajid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie & Fitch, & Vox Cinemas. We believe in making Great Moments for Everyone, Every day<br>JOB TITLESales Associate | Majid Al Futtaim Lifestyle | Operations<br>ROLE PROFILE:Be The Ultimate Champion of Customer Service Standards in Line with Majid Al Futtaim Guidelines, Understanding Customer Needs and Enabling the Fulfilment of an Exceptional Experience for The Customer. Ensure Customer Concerns Are Addressed Promptly and Professionally and Escalated in A Timely Manner to the Store Manager, When Necessary, Keep the Customer in Mind Through All Interactions. Achieve Set Sales Targets and Use Creative Ways to Exceed the Same, Keeping the Customer in Mind. Contribute To Enhanced Sales Targets with Thorough Product Knowledge, Taking Opportunities to Up Sell and Cross Sell. Ensure Store Standards Are Maintained at All Times, Supporting with Instore Tasks Including but Not Limited to Cleanliness, Tidiness and Replenishment. Comply With All Store Security Policies and Regulations, Minimizing Exposure to Stock Loss. Use Advanced Selling Skills in Order to Better Support the Customer’s Needs, Generate High Value Transactions, And Build a Consistent Flow of Repeat Custom Recommend, Select, And Help Locate or Obtain Merchandise Based on Customer Need in Other Majid Al Futtaim Fashion Brands and Stores, If Not Available Instore.<br>REQUIREMENTS:High School Certificate1-2 Years Industry Experience Good Communication Skills Excellent Customer Service<br>WHAT WE OFFERAt Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us! Work in a friendly environment, where everyone shares positive vibes and excited about our future. Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.

<p>We are looking for an experienced AI Engineer to join our team and help design, build, and scale intelligent systems that power real business solutions. You will work across LLMs, Computer Vision, Speech AI, and AI Infrastructure, embedding advanced AI into core business processes and client-facing products.</p><ul><li><strong>LLM Development:</strong> build chatbots, RAG systems, and automated document processing pipelines</li><li><strong>Computer Vision:</strong> Implement OCR for insurance documents, damage assessment from photos, and identity verification</li><li><strong>Speech AI:</strong> Develop transcription, voice analytics, and multilingual support solutions</li><li><strong>AI Infrastructure:</strong> Deploy and monitor AI models, integrate with cloud AI services</li><li><strong>Product Integration:</strong> Embed AI into business workflows, create AI APIs, and design user-friendly AI-powered experiences</li></ul><p><strong>Requirements</strong></p><ul><li>5+ years of experience in AI/ML engineering with a focus on production systems</li><li>Strong Python skills (advanced) + experience with FastAPI/Flask for API development</li><li>Hands-on experience with LLM tools: OpenAI API, LangChain, Hugging Face Transformers</li><li>Computer Vision expertise: OpenCV, PIL, YOLO, Detectron2 (or similar)</li><li>Deep learning frameworks: PyTorch or TensorFlow for fine-tuning models</li><li>Cloud experience: AWS / Azure / GCP AI services</li><li>Docker &amp; Kubernetes for AI application containerization and orchestration</li></ul><p><strong>Core AI/ML Competencies</strong></p><ul><li>Prompt Engineering designing effective prompts for LLMs</li><li>Fine-tuning and training custom LLMs adapting pre-trained models to business tasks</li><li>Experience RAG (Retrieval-Augmented Generation) working with vector DBs and embeddings</li><li>Computer Vision Pipelines from preprocessing to inference</li><li>Model Optimization quantization, pruning, ONNX for faster inference</li><li>Multimodal AI building solutions that combine text + images</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p>5+ years of experience in AI/ML engineering with a focus on production systems</p><p>Strong Python skills (advanced) + experience with FastAPI/Flask for API development</p><p>Hands-on experience with LLM tools: OpenAI API, LangChain, Hugging Face Transformers</p><p>Computer Vision expertise: OpenCV, PIL, YOLO, Detectron2 (or similar)</p><p>Deep learning frameworks: PyTorch or TensorFlow for fine-tuning models</p><p>Cloud experience: AWS / Azure / GCP AI services</p><p>Docker &amp; Kubernetes for AI application containerization and orchestration</p><p><strong>Core AI/ML Competencies</strong></p><ul><li>Prompt Engineering designing effective prompts for LLMs</li><li>Fine-tuning and training custom LLMs adapting pre-trained models to business tasks</li><li>Experience RAG (Retrieval-Augmented Generation) working with vector DBs and embeddings</li><li>Computer Vision Pipelines from preprocessing to inference</li><li>Model Optimization quantization, pruning, ONNX for faster inference</li><li>Multimodal AI building solutions that combine text + images</li></ul>

Label is looking for a creative, organized, and fast-moving Digital Media Specialist to support our daily marketing, content, PR, and brand communication workflow.<br>This role is ideal for someone who understands luxury fashion, modest wear, perfumes, beauty, social media trends, and premium brand presentation.<br>Key responsibilities include:<br>• Managing social media platforms including Instagram, Tik Tok, Snapchat, and Linked In• Creating and editing reels, stories, posts, posters, campaigns, and digital content• Preparing content calendars and organizing content references• Coordinating photography and videography with models, photographers, videographers, and agencies• Creating content using Canva, Cap Cut, Adobe tools, Chat GPT, Claude, and AI creation tools• Preparing presentation decks for launches, collaborations, expansion, and brand proposals• Creating mockups for stationery, signage, stickers, name plates, and branding materials• Liaising with influencers, influencer managers, media agencies, designers, and perfume brands• Supporting PR outreach, event planning, and collaboration opportunities• Collecting updated content and collection images from designers and brands• Supporting business development and leasing communication for local and GCC expansion opportunities• Coordinating with suppliers for printing, signage, interiors, quotations, and brand materials• Preparing weekly and monthly marketing reports• Maintaining brand consistency and organized creative assets<br>Requirements:<br>• 4 years of minimum experience in digital media, content creation, social media, marketing, or brand communications• Strong skills in Canva and Cap Cut• Knowledge of Adobe tools such as Photoshop, Illustrator, Lightroom, or Premiere Pro is preferred• Experience using Chat GPT, Claude, and AI content creation tools• Strong visual taste and understanding of luxury branding• Ability to create reels, stories, posts, presentations, mockups, and campaign visuals independently• Good communication and coordination skills• Experience in fashion, luxury retail, modest fashion, perfume, beauty, or lifestyle brands is preferred• English is required; Arabic is an advantage<br>The ideal candidate must be creative, detail-oriented, organized, and able to manage multiple tasks and should be equipped with the relevant skills and meet deadlines in a fast-paced retail environment.

<p>Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)</li><li>Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.</li><li>Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.</li><li>Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.</li><li>Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).</li><li>Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).</li><li>Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).</li><li>Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.</li><li>Must be available to travel as needed for meetings, conferences, and project requirements.</li><li>Languages: Arabic and English</li></ul><p>Preferred Qualifications:</p><ul><li>Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.</li><li>Experience with AI model optimization, quantization, or deployment to edge devices.</li><li>Hands-on experience designing RAG pipelines and/or multi-agent systems.</li><li>Experience designing data architectures (batch &amp; streaming) and working with big data technologies.</li><li>Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.</li></ul>

Role :The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full technical stack of modern AI engineering: training and fine-tuning ML models, building LLM powered applications, developing agentic workflows, and integrating AI solutions with Ooredoo's enterprise platform ecosystem. The AI Engineer works in close partnership with the AI Solutions Architect consuming architecture blueprints and raising implementation feedback and is instrumental in maintaining the reliability, performance, and continuous improvement of deployed AI systems.<br>About the Business Unit:AI & Data Governance team is responsible for developing and implementing data governance frameworks and AI strategies to ensure data integrity, security, compliance, and to drive innovation and operational excellence within Ooredoo. Additionally, the team manages AI projects and proof of concepts, tracks data initiatives, and coordinates with cross functional teams to ensure timely delivery and value realization.<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Strong proficiency in Python and its AI/ML ecosystem: PyTorch or Tensor Flow, Hugging Face Transformers, Lang Chain, and related libraries. Practical experience building LLM applications prompt engineering, RAG pipelines, embedding models, vector databases (e.g., Pinecone, Weaviate,Azure AI Search). Experience with major cloud AI services: Azure Open AI Service, Azure AI Studio, AWS Bedrock, or Google Vertex AI. Solid software engineering fundamentals: REST API design and consumption, containerisation (Docker/Kubernetes), CI/CD pipelines, and Git-based workflows. Experience integrating AI systems with enterprise software platforms via APIs or event-driven architecture. Experience in designing, developing, and orchestrating agent-to-agent (A2A) solutions, enabling autonomous collaboration, decision-making, and task execution across multiple AI agents platforms. Experience with agentic AI frameworks: Lang Graph, Auto Gen, Crew AI, or Microsoft Semantic Kernel multi-agent orchestration. Familiarity with MLOps tooling: MLflow, Azure MLPipelines, Kubeflow, or similar model lifecyclemanagement platforms. Knowledge of BSS/OSS systems or CRM integration patterns in a telecommunications context. Experience with speech-to-text, text-to-speech, or multi-modal AI for voice-enabled self-service applications. Minimum Qualifications:Bachelor's Degree in Computer Science or Engineering or Similar

Role :The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full technical stack of modern AI engineering: training and fine-tuning ML models, building LLM powered applications, developing agentic workflows, and integrating AI solutions with Ooredoo's enterprise platform ecosystem. The AI Engineer works in close partnership with the AI Solutions Architect consuming architecture blueprints and raising implementation feedback and is instrumental in maintaining the reliability, performance, and continuous improvement of deployed AI systems.<br>About the Business Unit:AI & Data Governance team is responsible for developing and implementing data governance frameworks and AI strategies to ensure data integrity, security, compliance, and to drive innovation and operational excellence within Ooredoo. Additionally, the team manages AI projects and proof of concepts, tracks data initiatives, and coordinates with cross functional teams to ensure timely delivery and value realization.<br>Minimum Experience, Essential Knowledge & Skills:10 years' experience in a similar role. Strong proficiency in Python and its AI/ML ecosystem: PyTorch or Tensor Flow, Hugging Face Transformers, Lang Chain, and related libraries. Practical experience building LLM applications prompt engineering, RAG pipelines, embedding models, vector databases (e.g., Pinecone, Weaviate,Azure AI Search). Experience with major cloud AI services: Azure Open AI Service, Azure AI Studio, AWS Bedrock, or Google Vertex AI. Solid software engineering fundamentals: REST API design and consumption, containerisation (Docker/Kubernetes), CI/CD pipelines, and Git-based workflows. Experience integrating AI systems with enterprise software platforms via APIs or event-driven architecture. Experience in designing, developing, and orchestrating agent-to-agent (A2A) solutions, enabling autonomous collaboration, decision-making, and task execution across multiple AI agents platforms. Experience with agentic AI frameworks: Lang Graph, Auto Gen, Crew AI, or Microsoft Semantic Kernel multi-agent orchestration. Familiarity with MLOps tooling: MLflow, Azure MLPipelines, Kubeflow, or similar model lifecyclemanagement platforms. Knowledge of BSS/OSS systems or CRM integration patterns in a telecommunications context. Experience with speech-to-text, text-to-speech, or multi-modal AI for voice-enabled self-service applications. Minimum Qualifications:Bachelor's Degree in Computer Science or Engineering or Similar

Company Description MBH Holding Group is a modern enterprise leader that combines strategic capital investment with hands-on business design and development. The group focuses on structuring and elevating companies into lasting institutions with strong foundations and long-term potential. Guided by clarity and disciplined execution, MBH emphasizes sustainable growth over short-term gains. Its portfolio reflects a commitment to craftsmanship, scalability, and value creation. Team members join an environment that values strategic thinking, high standards, and meaningful impact. Role Description<br>We are hiring a 3D Product Designer and Graphic Designer.<br>We are looking for a creative and detail-oriented designer with a strong focus on physical product design, 3D product modeling, and realistic product visualization.<br>The ideal candidate should be able to develop refined product concepts, create accurate 3D models, and produce high-quality visuals that help bring physical products to life before production.<br>Main responsibilities:<br>• Create detailed 3D models for physical products• Develop product concepts with accurate shapes, proportions, materials, textures, and finishing details• Produce realistic product renders with strong attention to lighting, materials, and presentation• Work on product-focused visuals for marketing, presentations, and brand communication• Create clean and premium graphic design materials when needed• Support the creative team with visual concepts, product mockups, and presentation layouts• Ensure all designs follow the brand direction and maintain a high level of quality<br>Requirements:<br>• Portfolio is mandatory• Strong portfolio in 3D product design, product modeling, and product visualization• Experience creating physical product designs, not only digital objects• Strong understanding of materials, proportions, textures, lighting, and realistic rendering• Ability to create premium and detailed product visuals from concept to final presentation• Good knowledge of design, layout, composition, typography, and brand identity• Experience using 3D design and rendering software such as Blender, Cinema 4D, Maya, 3ds Max, Key Shot, or similar tools• Experience using Adobe Photoshop, Adobe Illustrator, and other Adobe Creative Suite tools• Strong attention to detail and ability to meet deadlines• Experience in fashion, accessories, luxury, retail, packaging, or lifestyle products is a plus<br>We are looking for someone with good taste, strong creativity, and a precise eye for product details.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Overview Of The Role:</b></p><p><br></p><ul><li>The Beauty Advisor plays a crucial role in enhancing customer experience and driving sales in the store. They are responsible for selling beauty products through knowledgeable engagement with customers, ensuring efficient service, and maintaining a visually appealing display of products. By leveraging their expertise in beauty and fashion trends, the Beauty Advisor aims to satisfy customers and contribute to the store's financial performance. The role also entails monitoring financial metrics, adhering to operational standards, and participating in personal and professional development programs to ensure continuous growth and competency.</li></ul><p><br></p><p><b>What You Will Do:</b></p><p><br></p><p>Sales and Customer Service</p><p><br></p><ul><li>Recommend appropriate products and provide information on features, advantages, and benefits to enhance customer decision-making.</li><li>Assist customers in locating, selecting, and purchasing products based on preferences for brand, variant, and color.</li><li>Utilize selling techniques such as suggestive selling, upselling, and cross-selling to increase Average Transaction Value (ATV).</li><li>Attend to all customer queries and needs, providing efficient and friendly service.</li><li>Resolve customer complaints following set customer service standards and within the scope of control.</li></ul><p><br></p><p>Stock and Merchandise Management</p><p><br></p><ul><li>Monitor the availability of products and ensure proper safekeeping of merchandise to prevent shoplifting, damages, and pilferages.</li><li>Update reports on product shelf life and ensure timely replenishment of products on display with complete shelf tag prices.</li><li>Weekly monitor price changes and update shelf/price tags as needed following planograms and guidelines.</li></ul><p><br></p><p>Store Operations and Promotions</p><p><br></p><ul><li>Comply with all set customer service standards, including greeting customers and offering baskets.</li><li>Prepare and set up store promotions using marketing collaterals to effectively communicate offers.</li><li>Maintain cleanliness and orderliness in assigned areas and ensure compliance with company policies and procedures.</li></ul><p><br></p><p>Performance and Reporting</p><p><br></p><ul><li>Accomplish and monitor performance development plans in a timely manner.</li><li>Participate in and implement agreed Employee Engagement Survey (EES) action plans.</li><li>Ensure timely and accurate execution of retail operating standards and planogram implementations.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Skills To Be Successful:</b></p><p><br></p><ul><li>Empathy and customer service orientation.</li><li>Leadership and problem-solving abilities.</li><li>Excellent relationship-building and communication skills.</li><li>Ability to deal with ambiguity and maintain integrity and trust in all interactions.</li></ul><p><br></p><p><b>What Qualifies You For The Role:</b></p><p><br></p><ul><li>High School diploma; degree not essential but a plus.</li><li>Minimum of 2 to 4 years of experience in retail, focusing on the beauty or fashion sector.</li><li>Strong knowledge of the fashion/beauty industry and trends, with proficiency in retail operations, stock management, and visual merchandising.</li><li>Excellent computer skills with capabilities in using retail systems and managing cash transactions.</li></ul><p><br></p></div>

???? Welcome to Your Next Adventure!<br><br>The Vertical Operations Director is responsible for owning and scaling the operational performance of Snoonu’s key business verticals, including grocery, laundry, ticketing, and any future verticals launched under Snoonu’s ecosystem.<br><br>This role ensures that each vertical operates with clear ownership, strong execution, high service quality, and profitable growth, while maintaining Snoonu’s customer obsession and operational standards.<br><br>The Vertical Operations Director is not only responsible for day-to-day operations, but also for building scalable operating models, improving unit economics, solving cross-functional issues, and ensuring that each Non-food vertical is ready to grow in Qatar and future markets.<br><br>???? What You’ll Get Your Hands On<br><br> Grocery Operations<br><br>Own the operational performance of grocery, supermarket, convenience, and quick-commerce partners.<br><br>Ensure product availability, stock accuracy, pricing accuracy, and substitution processes are properly managed. Reduce missing items, wrong items, out-of-stock issues, and delayed grocery orders. Improve picking, packing, and handover processes with partners. Work with category, merchant, logistics, and product teams to improve the grocery customer journey. Build operating standards for grocery partners, including item accuracy, cold-chain sensitivity, packaging, and delivery readiness. Monitor grocery fulfillment time and customer complaint trends. Support the development of dark-store or quick-commerce models if required. Improve grocery basket experience, repeat purchase, and reliability. Laundry Operations<br><br>Own the operational performance of laundry partners and end-to-end laundry order flow.<br><br>Manage the full laundry journey from pickup to partner processing to delivery. Ensure clear SLAs for pickup, cleaning, ironing, packaging, and return delivery. Reduce delays, damaged items, missing items, wrong items, and customer complaints. Build quality control standards for laundry partners. Ensure proper item tagging, tracking, and handover processes. Work with product and logistics teams to improve scheduling, pickup windows, and customer notifications. Create escalation processes for high-value items, lost items, or damaged items. Improve customer trust in the laundry vertical through reliability, transparency, and service recovery. Ticketing Operations<br><br>Own the operational execution of ticketing services, events, bookings, and related customer experiences.<br><br>Ensure ticket inventory, availability, pricing, and event details are accurate. Coordinate with event organizers, venues, partners, product, finance, and customer support. Manage operational readiness before, during, and after major events. Reduce customer issues related to ticket access, QR codes, refunds, cancellations, and event changes. Create clear SOPs for event-day support and escalation. Ensure smooth settlement and reporting with ticketing partners. Support major event launches with risk assessment and operational planning. Build scalable ticketing processes for future expansion into entertainment, experiences, sports, and tourism.<br><br>Additional Verticals And Business Areas<br><br>Based on Snoonu’s business model, the Vertical Operations Director may also oversee or support the following areas:<br><br> Retail Operations<br><br>For flowers, pharmacies, electronics, beauty, gifts, fashion, and general retail partners.<br><br>Improving item accuracy, merchant readiness, fulfillment time, packaging, and delivery handover. Reducing cancellations, unavailable items, wrong items, and poor packaging complaints. Building SOPs for sensitive categories such as pharmacy, flowers, electronics, and gifts. Supporting category-specific service standards. Marketplace Operations<br><br>Own the overall marketplace health across multiple verticals.<br><br>Monitor supply availability across merchants and categories. Ensure strong coordination between merchant operations, logistics, product, and customer support. Improve operational KPIs across all marketplace verticals. Identify marketplace gaps such as low availability, weak fulfillment, poor merchant compliance, or high complaint rates. Support new vertical launches with proper operating models and readiness checks. New Vertical Launch Operations<br><br>Lead operational readiness for new Snoonu verticals before launch.<br><br>Define the operating model for each new vertical. Build SOPs, SLAs, partner requirements, customer support flows, and escalation rules. Run pilot launches before scaling. Identify operational risks before public launch. Work with product to ensure the customer journey is ready. Work with finance to validate pricing, commission, refunds, and settlement processes. Ensure logistics capacity and delivery requirements are clear.<br><br>????‍♂️ The Magic You Bring<br><br>Vertical Strategy and Operating Model ( Define the operating model for each vertical; Set operational priorities, KPIs, and service standards; Translate Snoonu’s business goals into clear execution plans). Operational Performance ( Own the day-to-day performance of each vertical; Monitor key metrics; Identify operational bottlenecks and solve them with clear owners; Ensure every vertical has weekly performance reviews and action plans). Customer Experience ( Ensure every vertical delivers a customer experience aligned with Snoonu’s standards; Work closely with Customer Experience and Customer Support to understand complaints and root causes; Reduce repeated failures that create customer dissatisfaction; Ensure service recovery rules are clear for each vertical; Protect the customer first, then fix the root cause internally) . Partner and Merchant Operational Excellence ( Set clear operational requirements for merchants and partners; Hold partners accountable for repeated failures; Work with commercial and account management teams to improve partner performance; Ensure partners understand Snoonu’s standards for preparation, availability, packaging, handover, and customer experience; Recommend corrective actions for underperforming partners). Cross-Functional Leadership ( This role must connect all departments to ensure that vertical issues are solved end-to-end). SOPs, SLAs, and Governance ( Create and maintain SOPs for each vertical; Define clear SLAs for merchants, operations, logistics, and support teams; Build escalation processes for critical issues; Ensure every team knows who owns each type of problem; Standardize processes across verticals to reduce confusion and improve execution) . Data, Reporting, and Business Reviews ( Build dashboards for each vertical; Track daily, weekly, and monthly performance; Identify trends, risks, and repeated failures; Present clear business reviews to leadership; Convert data into action plans, not just reports). Profitability and Unit Economics ( Work with finance and commercial teams to improve vertical profitability; Monitor cost-to-serve across each vertical; Identify operational inefficiencies that affect margins; Improve delivery batching, fulfillment efficiency, partner terms, and refund leakage; Ensure growth does not come at the cost of poor economics). Team Leadership ( Build and lead strong vertical operations teams; Define clear responsibilities for each vertical manager; Set performance expectations and accountability; Coach team members to solve problems independently; Build a leadership culture where every vertical has a clear owner).<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

???? Welcome to Your Next Adventure!<br><br>The Vertical Operations Director is responsible for owning and scaling the operational performance of Snoonu’s key business verticals, including grocery, laundry, ticketing, and any future verticals launched under Snoonu’s ecosystem.<br><br>This role ensures that each vertical operates with clear ownership, strong execution, high service quality, and profitable growth, while maintaining Snoonu’s customer obsession and operational standards.<br><br>The Vertical Operations Director is not only responsible for day-to-day operations, but also for building scalable operating models, improving unit economics, solving cross-functional issues, and ensuring that each Non-food vertical is ready to grow in Qatar and future markets.<br><br>???? What You’ll Get Your Hands On<br><br> Grocery Operations<br><br>Own the operational performance of grocery, supermarket, convenience, and quick-commerce partners.<br><br>Ensure product availability, stock accuracy, pricing accuracy, and substitution processes are properly managed. Reduce missing items, wrong items, out-of-stock issues, and delayed grocery orders. Improve picking, packing, and handover processes with partners. Work with category, merchant, logistics, and product teams to improve the grocery customer journey. Build operating standards for grocery partners, including item accuracy, cold-chain sensitivity, packaging, and delivery readiness. Monitor grocery fulfillment time and customer complaint trends. Support the development of dark-store or quick-commerce models if required. Improve grocery basket experience, repeat purchase, and reliability. Laundry Operations<br><br>Own the operational performance of laundry partners and end-to-end laundry order flow.<br><br>Manage the full laundry journey from pickup to partner processing to delivery. Ensure clear SLAs for pickup, cleaning, ironing, packaging, and return delivery. Reduce delays, damaged items, missing items, wrong items, and customer complaints. Build quality control standards for laundry partners. Ensure proper item tagging, tracking, and handover processes. Work with product and logistics teams to improve scheduling, pickup windows, and customer notifications. Create escalation processes for high-value items, lost items, or damaged items. Improve customer trust in the laundry vertical through reliability, transparency, and service recovery. Ticketing Operations<br><br>Own the operational execution of ticketing services, events, bookings, and related customer experiences.<br><br>Ensure ticket inventory, availability, pricing, and event details are accurate. Coordinate with event organizers, venues, partners, product, finance, and customer support. Manage operational readiness before, during, and after major events. Reduce customer issues related to ticket access, QR codes, refunds, cancellations, and event changes. Create clear SOPs for event-day support and escalation. Ensure smooth settlement and reporting with ticketing partners. Support major event launches with risk assessment and operational planning. Build scalable ticketing processes for future expansion into entertainment, experiences, sports, and tourism.<br><br>Additional Verticals And Business Areas<br><br>Based on Snoonu’s business model, the Vertical Operations Director may also oversee or support the following areas:<br><br> Retail Operations<br><br>For flowers, pharmacies, electronics, beauty, gifts, fashion, and general retail partners.<br><br>Improving item accuracy, merchant readiness, fulfillment time, packaging, and delivery handover. Reducing cancellations, unavailable items, wrong items, and poor packaging complaints. Building SOPs for sensitive categories such as pharmacy, flowers, electronics, and gifts. Supporting category-specific service standards. Marketplace Operations<br><br>Own the overall marketplace health across multiple verticals.<br><br>Monitor supply availability across merchants and categories. Ensure strong coordination between merchant operations, logistics, product, and customer support. Improve operational KPIs across all marketplace verticals. Identify marketplace gaps such as low availability, weak fulfillment, poor merchant compliance, or high complaint rates. Support new vertical launches with proper operating models and readiness checks. New Vertical Launch Operations<br><br>Lead operational readiness for new Snoonu verticals before launch.<br><br>Define the operating model for each new vertical. Build SOPs, SLAs, partner requirements, customer support flows, and escalation rules. Run pilot launches before scaling. Identify operational risks before public launch. Work with product to ensure the customer journey is ready. Work with finance to validate pricing, commission, refunds, and settlement processes. Ensure logistics capacity and delivery requirements are clear.<br><br>????‍♂️ The Magic You Bring<br><br>Vertical Strategy and Operating Model ( Define the operating model for each vertical; Set operational priorities, KPIs, and service standards; Translate Snoonu’s business goals into clear execution plans). Operational Performance ( Own the day-to-day performance of each vertical; Monitor key metrics; Identify operational bottlenecks and solve them with clear owners; Ensure every vertical has weekly performance reviews and action plans). Customer Experience ( Ensure every vertical delivers a customer experience aligned with Snoonu’s standards; Work closely with Customer Experience and Customer Support to understand complaints and root causes; Reduce repeated failures that create customer dissatisfaction; Ensure service recovery rules are clear for each vertical; Protect the customer first, then fix the root cause internally) . Partner and Merchant Operational Excellence ( Set clear operational requirements for merchants and partners; Hold partners accountable for repeated failures; Work with commercial and account management teams to improve partner performance; Ensure partners understand Snoonu’s standards for preparation, availability, packaging, handover, and customer experience; Recommend corrective actions for underperforming partners). Cross-Functional Leadership ( This role must connect all departments to ensure that vertical issues are solved end-to-end). SOPs, SLAs, and Governance ( Create and maintain SOPs for each vertical; Define clear SLAs for merchants, operations, logistics, and support teams; Build escalation processes for critical issues; Ensure every team knows who owns each type of problem; Standardize processes across verticals to reduce confusion and improve execution) . Data, Reporting, and Business Reviews ( Build dashboards for each vertical; Track daily, weekly, and monthly performance; Identify trends, risks, and repeated failures; Present clear business reviews to leadership; Convert data into action plans, not just reports). Profitability and Unit Economics ( Work with finance and commercial teams to improve vertical profitability; Monitor cost-to-serve across each vertical; Identify operational inefficiencies that affect margins; Improve delivery batching, fulfillment efficiency, partner terms, and refund leakage; Ensure growth does not come at the cost of poor economics). Team Leadership ( Build and lead strong vertical operations teams; Define clear responsibilities for each vertical manager; Set performance expectations and accountability; Coach team members to solve problems independently; Build a leadership culture where every vertical has a clear owner).<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

???? Welcome to Your Next Adventure!<br><br>We are looking for a Senior AI Engineer to join Snoonu's R&D team as a technical anchor for our conversational AI and agentic automation strategy. You will lead the design and delivery of production-grade chatbot systems powered by AWS and frontier LLMs (Claude-first), and architect Agentic AI pipelines that encode Snoonu's SOPs into autonomous, reliable workflows across customer support, order verification, and logistics. Beyond building, you will set technical standards, guide junior engineers, and act as a key decision-maker in choosing the next technology directions the team will discover and dominate.<br><br>???? What You’ll Get Your Hands On<br><br>Technical Leadership & Architecture<br><br>Own the end-to-end architecture of Snoonu's conversational AI and agentic automation platform — from LLM selection and prompt strategy to cloud infrastructure and observability. Define engineering standards, design patterns, and best practices for AI system development; conduct design reviews and enforce quality bars. Mentor and guide junior/mid-level engineers; review code, provide technical feedback, and accelerate the team's LLM engineering capabilities. Partner directly with the R&D Director to evaluate emerging technologies, shape the team's technical roadmap, and present recommendations with trade-off analysis.<br><br>Conversational AI & Chatbot Development<br><br>Lead the design and delivery of multi-channel chatbots (web, Whats App, app) using AWS Lex, Bedrock, and API Gateway integrated with Claude or other LLMs. Own complex dialogue system challenges: multi-turn reasoning, context persistence, intent disambiguation, and graceful fallback strategies. Integrate chatbots with Snoonu's backend services (order management, CRM, logistics APIs) via secure, scalable RESTful/event-driven patterns. Drive LLM evaluation cycles — benchmark model versions, prompt strategies, and RAG configurations against production quality and cost targets.<br><br>Agentic AI Pipelines<br><br>Architect Agentic AI systems that encode Snoonu SOPs as autonomous, multi-step workflows for customer support, order verification, and logistics operations. Select and govern the right orchestration approach (Lang Graph, Crew AI, Bedrock Agents, Step Functions) per use case — with a clear rationale on reliability, debuggability, and scalability. Design robust memory, context management, tool-use, and guardrail layers to ensure agents behave predictably in adversarial or edge-case conditions. Establish human-in-the-loop checkpoints, confidence thresholds, and escalation paths — ensuring agents augment rather than replace human judgment in critical decisions.<br><br>AWS Infrastructure & MLOps<br><br>Design and own the cloud backbone for AI services: Lambda, ECS/Fargate, SQS/SNS, Dynamo DB, S3, Cloud Watch, and Bedrock — with a focus on scalability, cost, and reliability. Build CI/CD pipelines for prompt versioning, model rollout, A/B testing, and automated evals before production deployment. Define and enforce monitoring standards for drift, latency, cost, and failure rates across all deployed AI systems.<br><br>R&D & Innovation<br><br>Lead frontier model evaluation — benchmark Claude, GPT, LLaMA, Mistral, and emerging open-weight models against Snoonu's specific use cases and constraints. Identify and prototype the next high-leverage AI capability the team should build — bring experiments from idea to validated proof-of-concept with clear go/no-go criteria. Produce high-quality technical documentation: architecture decision records, experimental results, and prompt engineering playbooks for team-wide use.<br><br>????‍♂️ The Magic You Bring<br><br>Education<br><br>Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or a related field.<br><br>Experience<br><br>5–8 years of hands-on software engineering experience, with at least 3 years focused on LLM-based systems, conversational AI, or agentic architectures. Demonstrated track record of owning and shipping production AI systems end-to-end — not just models, but the full stack from API to monitoring. Portfolio, Git Hub, or detailed case studies required. Prior experience in a senior IC or tech lead role: setting technical direction, conducting design reviews, and mentoring engineers. Strong Python and backend development skills (Fast API / Flask preferred); ability to write clean, production-grade, maintainable code. Research-driven mindset — obsessed with what's next in AI; able to translate frontier research into production value quickly. Extreme ownership: you define the problem, architect the solution, ship it, and hold yourself accountable for outcomes — without waiting to be told. Strong business context awareness — you think about ROI, operational impact, and user outcomes, not just technical elegance. Senior communicator: can explain complex agent design trade-offs to non-engineers, write compelling technical proposals, and influence direction through clarity of thought. Thrives in ambiguity — can operate effectively in fast-paced R&D environments where the problem definition evolves alongside the solution. Natural multiplier: makes the engineers around them better through code reviews, design feedback, and knowledge sharing. Collaborative and direct — comfortable pushing back on requirements and raising risks early, not just executing orders.<br><br>LLMs & Generative AI (Core)<br><br>Deep experience with Anthropic Claude (claude-3 / claude-sonnet / claude-opus) via API and AWS Bedrock — prompt engineering, tool use, and multi-turn reasoning. Familiarity with Open AI GPT models and open-weight models (LLaMA 3, Mistral, Phi) — fine-tuning, quantization, and local inference is a strong plus. Retrieval-Augmented Generation (RAG): vector databases (Open Search, Pinecone, pgvector), embedding models, and hybrid search. Agentic frameworks: Lang Chain / Lang Graph, Crew AI, Auto Gen, or AWS Bedrock Agents. Prompt engineering, system prompt design, evaluation (evals), and red-teaming for production safety.<br><br>AWS Services (Core)<br><br>Amazon Bedrock — model invocation, Agents for Bedrock, Knowledge Bases. Amazon Lex v2 — intents, slots, fulfillment Lambda, conversation logs. Lambda, API Gateway, Step Functions, SQS/SNS, Dynamo DB, S3, Cloud Watch. IAM, VPC, Secrets Manager — security and environment best practices. Experience with event-driven and serverless architectures.<br><br>Backend & Engineering<br><br>Python — OOP, async, clean code; REST API design with Fast API or Flask. Containerization: Docker; orchestration experience (ECS / EKS) is a plus. Git, CI/CD pipelines, automated testing, and prompt versioning practices.<br><br>✨ Bonus Points If You Have<br><br>Experience running local LLaMA inference (Ollama, v LLM, Hugging Face Transformers). Exposure to voice bots, STT/TTS pipelines, or multi-modal AI. Knowledge of logistics, e-commerce, or delivery operations domains. Arabic language NLP experience (Snoonu serves Qatar).<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

???? Welcome to Your Next Adventure!<br><br>We are looking for a Senior AI Engineer to join Snoonu's R&D team as a technical anchor for our conversational AI and agentic automation strategy. You will lead the design and delivery of production-grade chatbot systems powered by AWS and frontier LLMs (Claude-first), and architect Agentic AI pipelines that encode Snoonu's SOPs into autonomous, reliable workflows across customer support, order verification, and logistics. Beyond building, you will set technical standards, guide junior engineers, and act as a key decision-maker in choosing the next technology directions the team will discover and dominate.<br><br>???? What You’ll Get Your Hands On<br><br>Technical Leadership & Architecture<br><br>Own the end-to-end architecture of Snoonu's conversational AI and agentic automation platform — from LLM selection and prompt strategy to cloud infrastructure and observability. Define engineering standards, design patterns, and best practices for AI system development; conduct design reviews and enforce quality bars. Mentor and guide junior/mid-level engineers; review code, provide technical feedback, and accelerate the team's LLM engineering capabilities. Partner directly with the R&D Director to evaluate emerging technologies, shape the team's technical roadmap, and present recommendations with trade-off analysis.<br><br>Conversational AI & Chatbot Development<br><br>Lead the design and delivery of multi-channel chatbots (web, Whats App, app) using AWS Lex, Bedrock, and API Gateway integrated with Claude or other LLMs. Own complex dialogue system challenges: multi-turn reasoning, context persistence, intent disambiguation, and graceful fallback strategies. Integrate chatbots with Snoonu's backend services (order management, CRM, logistics APIs) via secure, scalable RESTful/event-driven patterns. Drive LLM evaluation cycles — benchmark model versions, prompt strategies, and RAG configurations against production quality and cost targets.<br><br>Agentic AI Pipelines<br><br>Architect Agentic AI systems that encode Snoonu SOPs as autonomous, multi-step workflows for customer support, order verification, and logistics operations. Select and govern the right orchestration approach (Lang Graph, Crew AI, Bedrock Agents, Step Functions) per use case — with a clear rationale on reliability, debuggability, and scalability. Design robust memory, context management, tool-use, and guardrail layers to ensure agents behave predictably in adversarial or edge-case conditions. Establish human-in-the-loop checkpoints, confidence thresholds, and escalation paths — ensuring agents augment rather than replace human judgment in critical decisions.<br><br>AWS Infrastructure & MLOps<br><br>Design and own the cloud backbone for AI services: Lambda, ECS/Fargate, SQS/SNS, Dynamo DB, S3, Cloud Watch, and Bedrock — with a focus on scalability, cost, and reliability. Build CI/CD pipelines for prompt versioning, model rollout, A/B testing, and automated evals before production deployment. Define and enforce monitoring standards for drift, latency, cost, and failure rates across all deployed AI systems.<br><br>R&D & Innovation<br><br>Lead frontier model evaluation — benchmark Claude, GPT, LLaMA, Mistral, and emerging open-weight models against Snoonu's specific use cases and constraints. Identify and prototype the next high-leverage AI capability the team should build — bring experiments from idea to validated proof-of-concept with clear go/no-go criteria. Produce high-quality technical documentation: architecture decision records, experimental results, and prompt engineering playbooks for team-wide use.<br><br>????‍♂️ The Magic You Bring<br><br>Education<br><br>Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or a related field.<br><br>Experience<br><br>5–8 years of hands-on software engineering experience, with at least 3 years focused on LLM-based systems, conversational AI, or agentic architectures. Demonstrated track record of owning and shipping production AI systems end-to-end — not just models, but the full stack from API to monitoring. Portfolio, Git Hub, or detailed case studies required. Prior experience in a senior IC or tech lead role: setting technical direction, conducting design reviews, and mentoring engineers. Strong Python and backend development skills (Fast API / Flask preferred); ability to write clean, production-grade, maintainable code. Research-driven mindset — obsessed with what's next in AI; able to translate frontier research into production value quickly. Extreme ownership: you define the problem, architect the solution, ship it, and hold yourself accountable for outcomes — without waiting to be told. Strong business context awareness — you think about ROI, operational impact, and user outcomes, not just technical elegance. Senior communicator: can explain complex agent design trade-offs to non-engineers, write compelling technical proposals, and influence direction through clarity of thought. Thrives in ambiguity — can operate effectively in fast-paced R&D environments where the problem definition evolves alongside the solution. Natural multiplier: makes the engineers around them better through code reviews, design feedback, and knowledge sharing. Collaborative and direct — comfortable pushing back on requirements and raising risks early, not just executing orders.<br><br>LLMs & Generative AI (Core)<br><br>Deep experience with Anthropic Claude (claude-3 / claude-sonnet / claude-opus) via API and AWS Bedrock — prompt engineering, tool use, and multi-turn reasoning. Familiarity with Open AI GPT models and open-weight models (LLaMA 3, Mistral, Phi) — fine-tuning, quantization, and local inference is a strong plus. Retrieval-Augmented Generation (RAG): vector databases (Open Search, Pinecone, pgvector), embedding models, and hybrid search. Agentic frameworks: Lang Chain / Lang Graph, Crew AI, Auto Gen, or AWS Bedrock Agents. Prompt engineering, system prompt design, evaluation (evals), and red-teaming for production safety.<br><br>AWS Services (Core)<br><br>Amazon Bedrock — model invocation, Agents for Bedrock, Knowledge Bases. Amazon Lex v2 — intents, slots, fulfillment Lambda, conversation logs. Lambda, API Gateway, Step Functions, SQS/SNS, Dynamo DB, S3, Cloud Watch. IAM, VPC, Secrets Manager — security and environment best practices. Experience with event-driven and serverless architectures.<br><br>Backend & Engineering<br><br>Python — OOP, async, clean code; REST API design with Fast API or Flask. Containerization: Docker; orchestration experience (ECS / EKS) is a plus. Git, CI/CD pipelines, automated testing, and prompt versioning practices.<br><br>✨ Bonus Points If You Have<br><br>Experience running local LLaMA inference (Ollama, v LLM, Hugging Face Transformers). Exposure to voice bots, STT/TTS pipelines, or multi-modal AI. Knowledge of logistics, e-commerce, or delivery operations domains. Arabic language NLP experience (Snoonu serves Qatar).<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

???? Welcome to Your Next Adventure!<br><br>We are looking for a Senior AI Engineer to join Snoonu's R&D team as a technical anchor for our conversational AI and agentic automation strategy. You will lead the design and delivery of production-grade chatbot systems powered by AWS and frontier LLMs (Claude-first), and architect Agentic AI pipelines that encode Snoonu's SOPs into autonomous, reliable workflows across customer support, order verification, and logistics. Beyond building, you will set technical standards, guide junior engineers, and act as a key decision-maker in choosing the next technology directions the team will discover and dominate.<br><br>???? What You’ll Get Your Hands On<br><br>Technical Leadership & Architecture<br><br>Own the end-to-end architecture of Snoonu's conversational AI and agentic automation platform — from LLM selection and prompt strategy to cloud infrastructure and observability. Define engineering standards, design patterns, and best practices for AI system development; conduct design reviews and enforce quality bars. Mentor and guide junior/mid-level engineers; review code, provide technical feedback, and accelerate the team's LLM engineering capabilities. Partner directly with the R&D Director to evaluate emerging technologies, shape the team's technical roadmap, and present recommendations with trade-off analysis.<br><br>Conversational AI & Chatbot Development<br><br>Lead the design and delivery of multi-channel chatbots (web, Whats App, app) using AWS Lex, Bedrock, and API Gateway integrated with Claude or other LLMs. Own complex dialogue system challenges: multi-turn reasoning, context persistence, intent disambiguation, and graceful fallback strategies. Integrate chatbots with Snoonu's backend services (order management, CRM, logistics APIs) via secure, scalable RESTful/event-driven patterns. Drive LLM evaluation cycles — benchmark model versions, prompt strategies, and RAG configurations against production quality and cost targets.<br><br>Agentic AI Pipelines<br><br>Architect Agentic AI systems that encode Snoonu SOPs as autonomous, multi-step workflows for customer support, order verification, and logistics operations. Select and govern the right orchestration approach (Lang Graph, Crew AI, Bedrock Agents, Step Functions) per use case — with a clear rationale on reliability, debuggability, and scalability. Design robust memory, context management, tool-use, and guardrail layers to ensure agents behave predictably in adversarial or edge-case conditions. Establish human-in-the-loop checkpoints, confidence thresholds, and escalation paths — ensuring agents augment rather than replace human judgment in critical decisions.<br><br>AWS Infrastructure & MLOps<br><br>Design and own the cloud backbone for AI services: Lambda, ECS/Fargate, SQS/SNS, Dynamo DB, S3, Cloud Watch, and Bedrock — with a focus on scalability, cost, and reliability. Build CI/CD pipelines for prompt versioning, model rollout, A/B testing, and automated evals before production deployment. Define and enforce monitoring standards for drift, latency, cost, and failure rates across all deployed AI systems.<br><br>R&D & Innovation<br><br>Lead frontier model evaluation — benchmark Claude, GPT, LLaMA, Mistral, and emerging open-weight models against Snoonu's specific use cases and constraints. Identify and prototype the next high-leverage AI capability the team should build — bring experiments from idea to validated proof-of-concept with clear go/no-go criteria. Produce high-quality technical documentation: architecture decision records, experimental results, and prompt engineering playbooks for team-wide use.<br><br>????‍♂️ The Magic You Bring<br><br>Education<br><br>Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or a related field.<br><br>Experience<br><br>5–8 years of hands-on software engineering experience, with at least 3 years focused on LLM-based systems, conversational AI, or agentic architectures. Demonstrated track record of owning and shipping production AI systems end-to-end — not just models, but the full stack from API to monitoring. Portfolio, Git Hub, or detailed case studies required. Prior experience in a senior IC or tech lead role: setting technical direction, conducting design reviews, and mentoring engineers. Strong Python and backend development skills (Fast API / Flask preferred); ability to write clean, production-grade, maintainable code. Research-driven mindset — obsessed with what's next in AI; able to translate frontier research into production value quickly. Extreme ownership: you define the problem, architect the solution, ship it, and hold yourself accountable for outcomes — without waiting to be told. Strong business context awareness — you think about ROI, operational impact, and user outcomes, not just technical elegance. Senior communicator: can explain complex agent design trade-offs to non-engineers, write compelling technical proposals, and influence direction through clarity of thought. Thrives in ambiguity — can operate effectively in fast-paced R&D environments where the problem definition evolves alongside the solution. Natural multiplier: makes the engineers around them better through code reviews, design feedback, and knowledge sharing. Collaborative and direct — comfortable pushing back on requirements and raising risks early, not just executing orders.<br><br>LLMs & Generative AI (Core)<br><br>Deep experience with Anthropic Claude (claude-3 / claude-sonnet / claude-opus) via API and AWS Bedrock — prompt engineering, tool use, and multi-turn reasoning. Familiarity with Open AI GPT models and open-weight models (LLaMA 3, Mistral, Phi) — fine-tuning, quantization, and local inference is a strong plus. Retrieval-Augmented Generation (RAG): vector databases (Open Search, Pinecone, pgvector), embedding models, and hybrid search. Agentic frameworks: Lang Chain / Lang Graph, Crew AI, Auto Gen, or AWS Bedrock Agents. Prompt engineering, system prompt design, evaluation (evals), and red-teaming for production safety.<br><br>AWS Services (Core)<br><br>Amazon Bedrock — model invocation, Agents for Bedrock, Knowledge Bases. Amazon Lex v2 — intents, slots, fulfillment Lambda, conversation logs. Lambda, API Gateway, Step Functions, SQS/SNS, Dynamo DB, S3, Cloud Watch. IAM, VPC, Secrets Manager — security and environment best practices. Experience with event-driven and serverless architectures.<br><br>Backend & Engineering<br><br>Python — OOP, async, clean code; REST API design with Fast API or Flask. Containerization: Docker; orchestration experience (ECS / EKS) is a plus. Git, CI/CD pipelines, automated testing, and prompt versioning practices.<br><br>✨ Bonus Points If You Have<br><br>Experience running local LLaMA inference (Ollama, v LLM, Hugging Face Transformers). Exposure to voice bots, STT/TTS pipelines, or multi-modal AI. Knowledge of logistics, e-commerce, or delivery operations domains. Arabic language NLP experience (Snoonu serves Qatar).<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br>???? Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br>???? Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br>???? Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>????Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br>???? Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br>????‍???? It's All About People: “Be a team player; together we are stronger.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"> POSITION OBJECTIVE <br>- Ensuring the highest levels of customer service are provided by retail staff and ensure they have the skills and support required for maximizing sales <br>- Assisting the Store Manager in efficient and profitable operation of the store, in accordance with the Company policies and procedures <br>- End to end store responsibility in absence of Store Manager <br>- Promote the Loyalty Program of the company for maximizing loyalty and repeat sales <br>- Provide feedback to the Store Manager and Area Manager with regards to employees and products <br>Key Responsibilities <br>- Must be fashionable, well-groomed and possess updated product knowledge to ensure minimal stock loss <br>- Maintains knowledge of new product, trend and fashion directives at all times in order to effectively respond to and anticipate customer needs <br>- Ensuring the retail staff has the skill to provide highest levels of customer service for maximizing the sales <br>- Assisting the Store Manager in implementation of operating procedures at the store as per the company standards <br>- Ensure the brand and company’s policies and procedures are adhered by all the staff at all the times <br>- Regularly audits own store administration and resolve any issues <br>- Manage the daily roaster, leave and grievances of the retail staff <br>- Maintain the visual merchandising standards at the stores all the time as per set VM standards <br>- Promote the Club Apparel Loyalty Program of the company for repeat sales <br>- Provide feedback to the Store Manager and/or Area Manager with regards to the employees and products <br>- Ensure awareness and vigilance at all times of security in the store without any negligence <br>- Must be updated about the various brands of the group for suggestive selling to the customers <br>- End to end store responsibility in absence of Store Manager <br>- Must be physically fit to stand for extended hours and heavy lifting <br><br></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"> <div> POSITION OBJECTIVE <br> </div> <div> - Achieve company objectives, ensuring the highest levels of customer service are provided by retail staff and ensure they have the skills and support required for maximizing sales <br> </div> <div> - Implement operating procedures at the store as per the company and Brand standards <br> </div> <div> - Promote the Loyalty Program of the company for maximizing loyalty and repeat sales <br> </div> <div> - Provide feedback to the Area Manager and Operations Manager with regards to employees and products </div><br>Key Responsibilities <br>- Brief and guide the staff on achievement of the daily / weekly / monthly sales target <br>- Must be fashionable / well-groomed and possess up-to-date product knowledge to ensure minimal stock loss <br>- Maintains knowledge of new product, trend and fashion directives at all times in order to effectively respond to and anticipate customer needs <br>- Ensure minimal stock loss manage stockrooms <br>- Implement the operating procedures at the store and ensure the brand and company’s policies and procedures are adhered by all the staff at all the times <br>- Apply creative techniques to achieve / exceed the store sales target <br>- Ensure has the required stock levels to maximize the sales <br>- Weekly audit the store administration and resolve discrepancies if any <br>- Manage the daily roaster, leave and grievances of the retail staff <br>- Maintain the visual merchandising standards at the stores all the time as per set VM standards <br>- Promote the Club Apparel Loyalty Program of the company for repeat sales <br>- Supervise the store and provide feedback to the Area Manager with regards to the employees and products <br>- Ensure awareness and vigilance at all times of security in the store without any negligence <br>- Must be updated about the various brands of the group for suggestive selling to the customers <br>- End to end store operations responsibility <br>- Must be physically fit to stand for extended hours and heavy lifting <br></div></section>