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mid/senior solution architect - qatar

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Multiverse Computing

<div>Multiverse Computing<div>
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.</div><div>
Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</div><div>
Why join us?
 
 
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 &mdash; compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50&ndash;80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible &mdash; and being part of a company often described as a &ldquo;quantum-AI unicorn in the making.&rdquo;</div><div>
This opportunity is to work from Qatar. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers&rsquo; needs, crafting innovative, scalable, and robust AI- powered solutions.</div><div>
Key requirements:</div><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><div> 
Preferred Qualifications:</div><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>
Location: Applicants must have legal authorization to work in the country where the position is based<div> 
Perks &amp; Benefits:</div><ul><li>
Equal pay guaranteed.</li><li>
Signing bonus.</li><li>
Relocation package (if applicable).</li><li>
Eligibility for educational budget according to internal policy.</li><li>
Hybrid opportunity.</li><li>
Flexible working hours.</li><li>
Language classes and discounted lunch options</li><li>
Working in a high paced environment, working on cutting edge technologies.</li><li>
Career plan. Opportunity to learn and teach.</li></ul><div>
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.</div></div>

Mid/Senior Solution Architect - Qatar

<div>
 
 Multiverse Computing
 
 
 
 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.
 
 
 
 Why join us?
 
 
 
 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 &mdash; compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50&ndash;80%. Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible &mdash; and being part of a company often described as a &ldquo;quantum-AI unicorn in the making.&rdquo;
 
 
 This opportunity is to work from Qatar. We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers&rsquo; needs, crafting innovative, scalable, and robust AI- powered solutions.
 
 
 
 Key requirements:
 
 
 
 
 <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>
 
 Preferred Qualifications:
 
 
 
 
 <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>
 
 Location: Applicants must have legal authorization to work in the country where the position is based
 
 
 
 
 Perks &amp; Benefits:
 
 
 
 
 <ul>
 <li>
 Equal pay guaranteed.
 </li>
 <li>
 Signing bonus.
 </li>
 <li>
 Relocation package (if applicable).
 </li>
 <li>
 Eligibility for educational budget according to internal policy.
 </li>
 <li>
 Hybrid opportunity.
 </li>
 <li>
 Flexible working hours.
 </li>
 <li>
 Language classes and discounted lunch options
 </li>
 <li>
 Working in a high paced environment, working on cutting edge technologies.
 </li>
 <li>
 Career plan. Opportunity to learn and teach.
 
 
 
 </li>
 </ul>
 
 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.
 
 
 
 Come and join our multicultural team!
 
 
 5 locations
 
 
 +27 languages
</div>

Starlink Qatar

<div>
 
 Job Purpose
 
 
 
 
 
 The Cloud Architect is responsible for designing, implementing, and managing secure, scalable, and highly available cloud and hybrid-cloud architectures across Azure, Google Cloud (GCP), and on-premises HCI platforms (VMware &amp; Nutanix NCM). The role ensures robust cloud governance, automation, security compliance, and alignment with business and technology objectives.
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 <ol>
 <li>
 Cloud &amp; Hybrid Architecture Delivery
 </li>
 </ol>
 <ul>
 <li>
 Design and implement multi-cloud solutions across Azure and GCP aligned with performance, cost, and scalability requirements.
 </li>
 <li>
 Architect and maintain hybrid-cloud environments integrating on-premises data centers with cloud platforms.
 </li>
 <li>
 Design and operate HCI platforms (VMware vSphere, vSAN, NSX-T, and Nutanix NCM/AHV).
 </li>
 <li>
 Lead cloud modernization, migration, and transformation initiatives.
 </li>
 <li>
 Implement and manage Infrastructure as Code (IaC) using Terraform, Bicep, ARM, and GCP Deployment Manager.
 </li>
 <li>
 Develop cloud landing zones, networking architectures, and identity/security integration.
 </li>
 <li>
 Support multi-cloud workload deployment, containerization, and VM-based compute models.
 </li>
 <li>
 Ensure resilient architectures with HA/DR, backup, and failover strategies.
 </li>
 <li>
 Manage daily cloud operations, monitoring, and incident response.
 </li>
 <li>
 Troubleshoot complex hybrid/multi-cloud issues across compute, network, and storage.
 </li>
 <li>
 Review architectural documents, diagrams, and solution designs.
 </li>
 <li>
 Deliver technical design documents, governance frameworks, and presentations.
 </li>
 <li>
 Provide guidance for migrations, including AVS (Azure VMware Solution) and GCVE (Google Cloud VMware Engine).
 </li>
 </ul>
 <ol>
 <li>
 Communication / Documentation
 </li>
 </ol>
 <ul>
 <li>
 Collaborate with cross-functional teams to ensure alignment on cloud and hybrid architecture requirements.
 </li>
 <li>
 Create detailed architecture blueprints, cloud standards, and operating procedures.
 </li>
 <li>
 Maintain documentation for cloud deployments, changes, governance, and audit requirements.
 </li>
 <li>
 Participate in design reviews, technical workshops, and knowledge transfer sessions.
 </li>
 </ul>
 <ol>
 <li>
 Problem Solving &amp; Optimization
 </li>
 </ol>
 <ul>
 <li>
 Collaborate with cross-functional teams to ensure alignment on cloud and hybrid architecture requirements.
 </li>
 <li>
 Create detailed architecture blueprints, cloud standards, and operating procedures.
 </li>
 <li>
 Maintain documentation for cloud deployments, changes, governance, and audit requirements.
 </li>
 <li>
 Participate in design reviews, technical workshops, and knowledge transfer sessions.
 </li>
 </ul>
 
 Knowledge, Experience &amp; Requirements
 
 <ul>
 <li>
 5 years' experience in Azure Cloud management
 </li>
 <li>
 3 years' experience in Google Cloud management
 </li>
 <li>
 3 years' experience in Cloud Virtualization management and High Availability management
 </li>
 </ul>
 
 Job Specific Technical Skills
 
 <ul>
 <li>
 Deep knowledge of networking: VNET/VPC design, routing, subnetting, VPN, ExpressRoute, Interconnect, load balancers, firewalls.
 </li>
 <li>
 Multi-cloud and hybrid-cloud architecture expertise.
 </li>
 <li>
 In-depth experience with HCI platforms: VMware &amp; Nutanix NCM.
 </li>
 <li>
 Strong proficiency in automation &amp; IaC (Terraform, ARM, Bicep, Deployment Manager).
 </li>
 <li>
 Expertise with cloud security, identity, governance, Zero Trust, and compliance frameworks.
 </li>
 <li>
 Hands-on experience in monitoring tools, observability, and cloud operations (Azure Monitor, GCP Operations Suite, vRealize, Nutanix Prism).
 </li>
 <li>
 Strong documentation, design, and communication skills.
 </li>
 </ul>
</div>

Cloud Architect

Red Hat

<div>
 
 Job Description
 
 
 
 The Red Hat Consulting team is looking for a Senior Cloud Architect to join us in Qatar.
 
 
 In this role, you will work as a subject-matter expert in Red Hat&rsquo;s infrastructure and cloud technology. You'll answer questions about best practices around automation, reliability, scalability, maintainability, high availability, and failover setups and lead the on-site delivery and implementation of Red Hat&rsquo;s technology that delivers freedom, flexibility, and outstanding performance. You will gain an understanding of our customers' infrastructures, and business issues and you will make recommendations appropriate to their environments. This is a great opportunity to build on your core base of knowledge and work in a fast-paced environment promoting Red Hat&rsquo;s solutions.
 
 
 We are looking for candidates with hands-on experience in infrastructure and architecture design topics.
 
 
 Red Hat will support relocation to the UAE for a successful candidate.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Winning the confidence of our prospective customers through the successful delivery of discovery, analysis and design workshops that shape and influence the customer&rsquo;s use cases and architecture design decisions to align with the Red Hat solution.
 </li>
 <li>
 Designing and scoping delivery projects as well as leading consulting teams through successful customer pilot and production deployments.
 </li>
 <li>
 The design, creation and delivery of content that enables the broader Red Hat organization to sell (pre-sales), service (consulting) and support (CEE) our solutions at scale.
 </li>
 <li>
 Work closely with product business units, product engineering, consulting, support, and sales to ensure a world-class customer experience with Red Hat&rsquo;s products.
 </li>
 <li>
 Contribute to the development of repeatable methodologies and tools designed to scale Red Hat&rsquo;s services capabilities, promote repeatable customer engagements, and lower delivery risk.
 </li>
 <li>
 Demonstrate thought leadership in the community by producing world-class white papers, webinars, etc. and speaking at industry leading conferences.
 
 
 </li>
 </ul>
 
 What You Will Bring
 
 
 
 <ul>
 <li>
 Background in Red Hat Enterprise Linux (Command line skills, Linux network configuration)
 </li>
 <li>
 Experience with Containers, container management utilities and debugging containers; also Quay
 </li>
 <li>
 Skills in Package management, both on the CLI and with Red Hat Satellite
 </li>
 <li>
 Hands on knowledge in Red Hat OpenShift Container Platform (RHOSO18 requires OCP as the base platform to be deployed upon, so OCP knowledge becomes a prerequisite for OSP)
 </li>
 <li>
 Architecture skills, specifically around datacenter infrastructure (networking, compute and storage)
 </li>
 <li>
 Compute skills: Lights-Out-Management LOM (IPMI, Redfish), UEFI/BIOS, server hardware
 </li>
 <li>
 Networking skills: Software Defined Networking SDN, Layer 2 (ARP, MAC), Layer 3 (TCP, UDP) and Layer 4 (IP), Open Virtual Switch OVS
 </li>
 <li>
 Storage skills Software Defined Storage SDS (Ceph), SAN, NAS
 </li>
 <li>
 Ansible experience (playbooks and troubleshooting)
 </li>
 <li>
 Authentication and Authorization (Red Hat IDM, Active Directory)
 </li>
 <li>
 Experience with network/datacenter design, elaboration of design and architecture documents and scoping/discovery sessions
 
 
 </li>
 </ul>
 
 About Red Hat
 
 
 
 Red Hat is the world&rsquo;s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
 
 
 
 Inclusion at Red Hat
 
 
 
 Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
 
 
 
 Equal Opportunity Policy (EEO)
 
 
 
 Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
 
 
 Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
 
 
 Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
 
 
</div>

Cloud Consulting Architect

Iberdrola

<div>We are looking for a highly technical, execution-focused Product Delivery Lead to bridge the gap between closed sales and active customer success. In this role, you will own the critical onboarding phase, ensuring that new enterprise customers are seamlessly integrated into our SaaS platform despite having highly specific, complex data requirements.
You will be the orchestrator who turns a signed contract into active, AI-driven value. By combining a deep understanding of our product portfolio with expertise in data ingestion techniques and ontology mapping, you will eliminate friction in the setup process. Your ultimate goal is to accelerate the &quot;Time-to-Value&quot; for our customers, ensuring they can leverage our Agentic AI tools and sustainability solutions as quickly and effortlessly as possible.
Jobs To Be Done
<ul><li>Lead the end-to-end technical onboarding and implementation of our SaaS solutions for new enterprise customers.</li>
<li>Serve as the primary bridge between the customer's technical teams and our internal engineering/data teams to define and execute data ingestion strategies.</li>
<li>Manage complex data requirements, including leading ontology mapping exercises to ensure customer data seamlessly aligns with our AI models.</li>
<li>Develop, manage, and execute detailed delivery project plans, ensuring timelines, milestones, and customer expectations are consistently met.</li>
<li>Partner closely with the Business Developer to ensure a smooth handover from the sales cycle and align on strategic customer goals.</li>
<li>Create repeatable, scalable onboarding playbooks to continuously reduce friction and speed up the delivery lifecycle for future customers.</li>
<li>Troubleshoot early-stage data integration roadblocks, ensuring a frictionless transition into &quot;business-as-usual&quot; platform usage.</li>
</ul>Education Requirements
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field.</li>
<li>Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued.</li>
<li>Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.</li>
</ul>Experience
<ul><li>5+ years of experience in technical delivery, SaaS implementation, solutions architecture, or technical account management.</li>
<li>Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements.</li>
<li>Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping.</li>
<li>Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.</li>
</ul>Skills and Competencies
<ul><li>Delivery Management : Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule.</li>
<li>Technical Fluency : Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers.</li>
<li>Product Mastery : Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data.</li>
<li>Client Management : Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders.</li>
<li>Problem Solving : A proactive, &quot;fix-it-first&quot; mentality when dealing with data integration bottlenecks.</li>
</ul>KPIs
<ul><li>Time-to-Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights.</li>
<li>Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope.</li>
<li>Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases.</li>
<li>Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience.</li>
<li>Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.</li>
</ul>Why Us
As a Product Delivery Lead, you will have the unique opportunity to shape the future of AI for sustainability and drive meaningful impact in the global energy sector. You will work alongside a passionate, mission-driven team and play a pivotal role in delivering innovative, disruptive solutions to some of the world&rsquo;s most pressing environmental challenges. 
 
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. 
 
Job Posting End Date: 
 
 
julio-31-2026</div>

Product Delivery Lead

<div>We&rsquo;re looking for a sharp financial whiz to join our fast-moving SaaS team. As our Product Profitability and FinOps Specialist, you&rsquo;ll own the story behind the numbers&mdash;making sense of pricing, revenues, and the underlying cloud costs that drive our products. Your insights will fuel better, faster decisions by Product and Ops teams, pushing our AI-driven sustainability solutions to grow smarter, stronger, and more efficiently.
If you love digging into data, building slick dashboards, and turning complex financial flows into clear action, this is your playground. Join us and be a key player shaping profitable, cost-aware product innovation in a mission-driven company.
<h2 class="jobSectionHeader">Jobs To Be Done
<ul><li>Build and fine-tune pricing and tariff models that reflect market realities and business goals.</li>
<li>Support the product teams when they need defining a financial report for their products: be the financial whizz of our Energy tools.</li>
<li>Master our cloud and AI service spending, hunting down savings by right-sizing resources, eliminating waste, and optimizing usage.
<ul><li>Implement and enforce smart cloud governance, including a rock-solid tagging strategy, so every dollar of cloud spend has an owner.
</li><li>Dig into total costs&mdash;including cloud infrastructure&mdash;to find savings and margin wins, then partner with the team to make it happen.</li>
</ul></li><li>Track and map every dollar flowing in and out of our product portfolio for full transparency .
<ul><li>Work hand-in-hand with Product Managers and Engineers to weigh the financial impact of new features, pricing moves, and architectural choices.</li>
<li>Help Operations decode cost drivers and resource use for maximum efficiency.</li>
<li>Own financial KPIs and deep-dive P&amp;L reviews for both individual products and our full lineup.</li>
</ul></li><li>Create killer dashboards using Power BI and other tools to spotlight financial health, cloud consumption, and growth areas.</li>
</ul>Education Requirements
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field.</li>
<li>Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued.</li>
<li>Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.</li>
</ul>Experience
<ul><li>5+ years of experience in technical delivery, SaaS implementation, solutions architecture, or technical account management.</li>
<li>Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements.</li>
<li>Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping.</li>
<li>Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.</li>
</ul>Skills and Competencies
<ul><li>Delivery Management: Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule.</li>
<li>Technical Fluency: Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers.</li>
<li>Product Mastery: Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data.</li>
<li>Client Management: Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders.</li>
<li>Problem Solving: A proactive, &quot;fix-it-first&quot; mentality when dealing with data integration bottlenecks.</li>
</ul>KPIs
<ul><li>Time-to-Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights.</li>
<li>Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope.</li>
<li>Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases.</li>
<li>Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience.</li>
<li>Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.</li>
</ul>Why Us
As a Product Delivery Lead, you will have the unique opportunity to shape the future of AI for sustainability and drive meaningful impact in the global energy sector. You will work alongside a passionate, mission-driven team and play a pivotal role in delivering innovative, disruptive solutions to some of the world&rsquo;s most pressing environmental challenges. 
 
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country. 
 
Job Posting End Date: 
 
 
julio-31-2026</h2></div>

Product Profitability & FinOps Specialist

AH Asociados Qatar

Position: Architect - Designer - Grade A Location: Doha, Qatar Employment Type: Full-time (on-site) Start Date: To be confirmedAbout the RoleWe are seeking a motivated and design-oriented Architect to join our growing design team in Doha. The successful candidate will be responsible for developing creative and technically accurate architectural solutions for a wide range of projects, including luxury villas, VIP clubs, offices, and hospitality developments.Key Responsibilities<ul><li>Design and develop architectural projects, from Concept Design up to IFT stage.</li><li>Prepare 2D drawings using AutoCAD: Layouts, elvations, sections, details.</li><li>Produce 3D models and renders with SketchUp and rendering engines such as Enscape, Lumion, or D5.</li><li>Coordinate closely with interior design, structural, and MEP teams to ensure design consistency and technical integration.</li><li>Maintain organized project files, CAD standards, and drawing documentation according to company protocols.</li><li>Ensure that all drawings and deliverables comply with Qatar&rsquo;s building regulations and authority requirements.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s Degree in Architecture.</li><li>Grade A - Qatar's engineers comitte ( UPDA )</li><li>Proficiency in AutoCAD.</li><li>Proficiency in SketchUp and rendering engines: Enscape, Lumion or D5.</li><li>Knowledge in Photoshop,</li><li>Knowledge in Microsoft Office.</li><li>Knowledge of the regulations applicable for building design in Qatar such as: MM Baladiya regulations, Kahramaa, QCDD and Ashghal.</li><li>Ability to produce accurate drawings, organize tasks efficiently, and meet deadlines.</li><li>Fluent in English with good communication skills. Arabic knowledge is an asset.</li><li>Positive attitude, team-oriented, and willing to learn in a fast-paced environment.</li></ul>Contract Terms<ul><li>Probation period: 3 months.</li><li>Working hours: Sunday to Thursday, 7 AM &ndash; 5 PM. ( with 1 hour lunch break )</li><li>Location: Doha office (site visits may be required).</li></ul>Application Requirements<ul><li>Updated CV</li><li>Portfolio PDF or link.</li><li>Valid QID</li><li>Availability date and expected salary</li></ul>Tipo de puesto: Tiempo completoLicencia/Certificaci&oacute;n:<ul><li>GRADE A MMUP (Deseable)</li></ul>Lugar de trabajo: Empleo presencial

Architect - Designer - Grade A

Explore 90+ Solutions architect in Doha this July. Find roles across top companies and apply now to boost your career.

90 solutions architect jobs In Doha

Mid/Senior Solution Architect - Qatar

Mid/Senior Solution Architect - Qatar

Cloud Architect

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Product Delivery Lead

Product Profitability & FinOps Specialist

Architect - Designer - Grade A