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TechPreneur

<div>
 
 
 Mission:
 
 Lead the design and development of custom AI and automation solutions for TechPreneur&rsquo;s clients, turning real business processes into reliable, production-ready intelligent workflows.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Work with the founder and clients to understand problems and design AI-driven solutions.
 
 
 &bull; Architect and build LLM-based workflows, agents and tools to automate internal and client processes.
 
 
 &bull; Develop and maintain integrations with platforms such as Microsoft 365, LMS/CRM/ERP systems and other enterprise tools.
 
 
 &bull; Own the end-to-end lifecycle of AI solutions: prototyping, implementation, testing, deployment and monitoring.
 
 
 &bull; Define technical standards, best practices and reusable components for future projects.
 
 
 &bull; Collaborate with product, delivery and customer success to support pilots, demos and production roll-outs.
 
 
 
 
 
 
 Skills &amp; Experience:
 
 
 
 &bull; Strong software engineering background in Python and/or Node.js/TypeScript.
 
 
 &bull; Hands-on experience with LLMs and generative AI (prompt design, RAG, basic fine-tuning, evaluation).
 
 
 &bull; Proven experience building APIs, webhooks and SaaS integrations, ideally with Microsoft 365 or similar ecosystems.
 
 
 &bull; Solid understanding of cloud platforms, security and data-privacy considerations.
 
 
 &bull; Ability to translate non-technical requirements into clear technical designs and deliverables.
 
 
 
 
 
 
 Mindset:
 
 
 
 &bull; Startup-oriented: comfortable owning problems end-to-end and moving from idea to prototype quickly.
 
 
 &bull; Product thinking: designs solutions that can be reused and scaled across multiple clients.
 
 
 &bull; Strong communicator, able to work directly with business stakeholders and explain AI in simple terms.
 
</div>

AI & Automation Lead Engineer

Edison Smart®

<div>
 
 
 AI Architect &ndash; Doha - Up to 30,000 QAR
 
 
 
 The AI Architect will be responsible for designing end-to-end AI solutions that enable organisations to adopt advanced automation, analytics, and intelligent systems at scale. This role focuses on creating practical, outcome-driven AI architectures that integrate seamlessly with existing enterprise platforms and deliver measurable business value.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Architecture &amp; Solution Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google&rsquo;s AI/ML ecosystem.
 </li>
 <li>
 Leverage pre-built services (NLP, computer vision, predictive modelling, conversational agents) to accelerate delivery.
 </li>
 <li>
 Develop solution blueprints aligned with organisational goals and broader digital transformation initiatives.
 </li>
 </ul>
 
 
 Enterprise Integration &amp; Data Engineering
 
 
 <ul>
 <li>
 Integrate AI workloads with core enterprise systems (ERP, CRM, operational platforms, data warehouses).
 </li>
 <li>
 Connect structured and unstructured data sources using APIs, middleware, and automation tools.
 </li>
 <li>
 Build and optimise data pipelines to support model training, inference, and continuous improvement.
 </li>
 </ul>
 
 
 AI Governance, Security &amp; Risk
 
 
 <ul>
 <li>
 Ensure compliance with global and regional data-protection frameworks (GDPR, HIPAA equivalents, local regulations).
 </li>
 <li>
 Monitor and manage risks related to model bias, transparency, explainability, and trust.
 </li>
 <li>
 Apply robust security and governance standards across all AI deployments.
 </li>
 </ul>
 
 
 Applied AI Implementation
 
 
 <ul>
 <li>
 Deploy and customise AI models for real-world use cases across different business functions.
 </li>
 <li>
 Configure conversational AI, intelligent agents, and knowledge systems to support operational requirements.
 </li>
 <li>
 Assess updates from cloud vendors and drive continuous enhancement of AI capabilities.
 </li>
 </ul>
 
 
 Stakeholder Collaboration &amp; Advisory
 
 
 <ul>
 <li>
 Work closely with technical and business teams to identify opportunities for applied AI adoption.
 </li>
 <li>
 Communicate complex AI concepts in a clear, practical manner to non-technical stakeholders.
 </li>
 <li>
 Guide teams through AI-enabled transformation, ensuring solutions deliver measurable impact.
 </li>
 </ul>
 
 
 Performance Engineering &amp; Scalability
 
 
 <ul>
 <li>
 Optimise AI architectures for speed, performance, and reliability.
 </li>
 <li>
 Implement monitoring frameworks, KPIs, and continuous optimisation cycles.
 </li>
 <li>
 Assess ROI and operational impact of AI deployments.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 8+ years
 
 in solution architecture, with
 
 4+ years
 
 focused on applied AI/ML projects.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 AI development or architecture certifications (e.g., Microsoft Certified AI Engineer/Architect).
 </li>
 <li>
 Azure AI Foundry, Google Cloud AI/ML credentials.
 </li>
 <li>
 Software engineering or solution architecture certifications.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong expertise in AI solution development and applied AI delivery.
 </li>
 <li>
 Deep knowledge of AI concepts, frameworks, models, and lifecycle management.
 </li>
 <li>
 Ability to perform architecture evaluations, scenario modelling, component design, and impact assessments.
 </li>
 <li>
 Strong understanding of SDLC, requirements gathering, and technical design.
 </li>
 <li>
 Proficiency with Azure AI Foundry and enterprise-grade AI orchestration.
 </li>
 <li>
 Hands-on experience with Google Agent Builder, multi-agent systems, and associated SDKs.
 </li>
 <li>
 Knowledge of advanced RAG techniques for enterprise knowledge management.
 </li>
 <li>
 Strong database and data-architecture skills (SQL, NoSQL, vector DBs, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, high-performing AI systems.
 </li>
 <li>
 Excellent communication and stakeholder engagement skills.
 </li>
 </ul>
</div>

Artificial Intelligence Architect - Doha (Up to 30,000 QAR)

<div>
 
 Your role
 
 
 
 We are seeking a highly skilled and innovative Senior Software Engineer to join our engineering team. In this role, you will design and build scalable software systems that power next-generation applications, with a focus on Python, Java, and intelligent AI agent development. You will work on complex technical challenges, shape architectural decisions, and collaborate with cross-functional teams to deliver impactful solutions
 
 
 <ul>
 <li>
 design, develop, and maintain high-performance, scalable, and secure systems in Python and Java.
 </li>
 <li>
 design test automation architecture of client applications for cross-platform and technologies such as UI, REST API and backend automation.
 </li>
 <li>
 architect, implement, and deploy AI agents that integrate with business workflows and enhance user experiences.
 </li>
 <li>
 collaborate with product, design, and research teams to translate requirements into technical solutions.
 </li>
 <li>
 contribute to system architecture discussions and long-term technical strategies.
 </li>
 <li>
 stay current with industry trends in AI frameworks, agent-based systems, and distributed computing.
 </li>
 <li>
 drive innovation by experimenting with emerging tools and methodologies in AI and backend engineering.
 
 
 </li>
 </ul>
 
 Job Type
 
 
 
 Full Time
 
 
 
 Job Reference #
 
 
 
 328865BR
 
 
 
 City
 
 
 
 Doha
 
 
 
 Your team
 
 
 
 You&rsquo;ll be working in our delivery team in Qatar. You&rsquo;ll be working together with global IT team to provide robust and reliable IT services and solutions to help our clients to manage their assets and investments.
 
 
 
 Your expertise
 
 
 
 <ul>
 <li>
 university degree in computer science, information systems or related field of study with around 5 years of experience in overall SDET and development experience.
 </li>
 <li>
 proven expertise in Python and Java with strong knowledge of software design patterns, data structures, and algorithms.
 </li>
 <li>
 experience building and deploying AI/ML systems or intelligent agents
 </li>
 <li>
 strong understanding of distributed systems, APIs, and microservices.
 </li>
 <li>
 strong communication and collaboration skills with the ability to work across teams.
 </li>
 <li>
 experience with LangChain, LangGraph, RAG, or agent-based architectures.
 </li>
 <li>
 familiarity with modern cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
 </li>
 <li>
 prior contributions to open-source AI/ML frameworks or projects.
 </li>
 <li>
 strong technical experience of working with APIs testing using Java, Postman, Karate, SoapUI or any other proficient tool.
 </li>
 <li>
 have developed end to end automation frameworks with dynamic test data, reusable utilities, database test and detailed reporting for web-services.
 </li>
 <li>
 proficient in the execution of different forms of testing like functional testing, component test, integration testing for APIs, acceptance testing and performance testing
 </li>
 <li>
 ability to interpret, evaluate and communicate detailed information. Ability to effectively manage multiple tasks and meet deadlines.
 
 
 </li>
 </ul>
 
 About Us
 
 
 UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
 
 
 We know that great work is never done alone. That&rsquo;s why we place collaboration at the heart of everything we do. Because together, we&rsquo;re more than ourselves. Want to find out more? Visit ubs.com/careers.
 
 
 
 Join us
 
 
 
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 
 
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 
 
 
 Disclaimer / Policy statements
 
 
 
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
</div>

Senior Software Engineer (Java/Python/AI)

The Utopia Studio

<div>
 The Studio is part of Utopia Capital&rsquo;s integrated venture platform &mdash; combining AI-native venture building, capital, and shared infrastructure to help founders build faster and smarter. Every role here directly contributes to launching and scaling AI-native companies across the Global South, from idea to Series A.
 
 
 
 About The Studio
 
 
 
 Utopia Studio is an AI-native venture builder for the Global South, backed by Qatar Development Bank. We work with domain experts across the GCC, Southeast Asia, and Africa to accelerate venture creation through AI-driven execution and shared infrastructure.
 
 
 At the core is Utopia OS &mdash; a modular platform that automates what's repeatable, embeds AI agents across workflows, and lets learning compound across ventures.
 
 
 
 About The Role
 
 
 
 We're looking for a founding product engineer to build the platform and infrastructure side of Utopia OS. You&rsquo;ll design, develop, and scale the shared systems, data pipelines, and full-stack applications that power dozens of AI-native ventures launching from Doha for the Global South.
 
 
 You&rsquo;ll combine deep backend expertise with the ability to deliver seamless, data-driven web experiences that make AI-native venture building faster and smarter.
 
 
 You will work as part of a product trio with the Design Lead and the Rapid Prototyping Engineer, making joint decisions on discovery, scope, and technical approach.
 
 
 
 Reports to:
 
 Studio Director
 
 
 
 Growth path:
 
 Head of AI Platform / CTO track
 
 
 
 Responsibilities
 
 
 
 
 Platform Engineering &amp; Infrastructure
 
 
 
 <ul>
 <li>
 Architect, build, and maintain Utopia OS infrastructure: auth, data systems, deployment, monitoring, analytics
 </li>
 <li>
 Develop full-stack web apps and plugins for studio-wide decisioning and analytics
 </li>
 <li>
 Build and maintain data pipelines for ingestion, transformation, and deployment across all ventures
 </li>
 <li>
 Develop and maintain robust backend systems and APIs, integrating modern databases (Postgres, Supabase, PlanetScale) and data architectures (Iceberg, Delta Lake).
 </li>
 <li>
 Implement data pipelines and transformation workflows (Dagster, Airflow) to enable real-time analytics across ventures.
 </li>
 <li>
 Create clear, reusable documentation and internal tooling to standardize engineering practices across the platform.
 </li>
 <li>
 Take early-stage products and harden them for scale, reliability, and compliance.
 </li>
 <li>
 Collaborate with design and product teams to translate data and infrastructure capabilities into intuitive user experiences and venture-facing tools.
 </li>
 <li>
 Implement CI/CD, observability, and security frameworks across the portfolio
 </li>
 <li>
 Design deployment templates for multi-tenant environments and enterprise integrations
 
 
 </li>
 </ul>
 
 Collaboration &amp; Engineering Excellence
 
 
 
 <ul>
 <li>
 Work closely with venture teams to integrate AI workflows and shared infrastructure
 </li>
 <li>
 Improve developer experience through modern, intuitive tool design
 </li>
 <li>
 Provide technical guidance and mentorship to engineers and fellows &mdash; fostering a culture of learning, experimentation, and shared standards across the Studio.
 </li>
 <li>
 Document architecture, standards, and playbooks so they can be reused across the studio
 </li>
 <li>
 Communicate complex technical concepts clearly to both engineering and non-technical stakeholders &mdash; turning systems thinking into shared understanding.
 </li>
 <li>
 Stay current with advances in generative AI, data infrastructure, and modern web engineering
 </li>
 <li>
 Work in a tight loop with the Design Lead on design system needs and with the Rapid Prototyping Engineer to productionize validated prototypes into secure, scalable services.
 </li>
 <li>
 Co-own technical discovery with the product trio: define evaluation plans, success metrics, and risks before committing to builds.
 </li>
 <li>
 You&rsquo;ll also help the team build shared capabilities typically owned by dedicated functions &mdash; like LLMOps, Data Engineering, and Security &mdash; but in a lean, integrated way.
 </li>
 <li>
 That means establishing lightweight evaluation pipelines, data ingestion templates, and security practices that can scale across multiple ventures without extra overhead.
 </li>
 <li>
 These foundations will later evolve into formalized systems as Utopia grows.
 </li>
 <li>
 We operate as a compact, AI-native core team &mdash; covering product, design, and engineering end-to-end.
 </li>
 <li>
 Each of us contributes to early foundations in areas like evaluation, data, research, and security, ensuring the platform scales responsibly without added layers or headcount.
 
 
 </li>
 </ul>
 
 Experience &amp; Skills
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, Software Engineering, or related field
 </li>
 <li>
 4&ndash;8 years in full-stack and backend development (startup or AI context preferred)
 </li>
 <li>
 Strong with modern frameworks (React, Vue, Angular, Next.js, SvelteKit) and backend systems (Postgres, Supabase, PlanetScale)
 </li>
 <li>
 Experience with data pipelines (Dagster, Airflow) and modern data lakes (Iceberg, Delta Lake)
 </li>
 <li>
 Experience designing data-driven applications &mdash; integrating analytics and visualization into user-facing tools.
 </li>
 <li>
 Comfortable with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and CI/CD pipelines
 </li>
 <li>
 Strong documentation and communication skills &mdash; you can explain complex systems clearly
 
 
 </li>
 </ul>
 
 Technical Foundations
 
 
 
 <ul>
 <li>
 Strong in full-stack development, with expertise in at least one modern front-end framework (React, Svelte, Vue, Angular, or Next.js)
 </li>
 <li>
 Experienced with backend systems, data pipelines, and cloud infrastructure (Postgres, Supabase, AWS, Docker, Kubernetes)
 </li>
 <li>
 Comfortable developing and deploying in hybrid environments, with CI/CD, monitoring, and observability best practices
 </li>
 <li>
 Familiar with data lake architectures (Delta Lake, Iceberg) and workflow orchestration tools (Airflow, Dagster)
 
 
 </li>
 </ul>
 
 Impact &amp; Success Metrics
 
 
 
 <ul>
 <li>
 Accelerate venture build cycles through reusable systems and faster deployment
 </li>
 <li>
 Improve infrastructure reliability and security across ventures
 </li>
 <li>
 Reduce duplication and increase code reuse across the Studio platform
 </li>
 <li>
 Enable measurable improvements in venture launch speed, uptime, and developer experience
 
 
 </li>
 </ul>
 
 Mindset &amp; Values
 
 
 
 <ul>
 <li>
 Systems + Empathy: You balance deep backend expertise with product intuition and user empathy.
 </li>
 <li>
 AI as collaborator: You build infrastructure that learns, adapts, and improves through automation and AI augmentation.
 </li>
 <li>
 Outcome focus: You optimize for speed, reliability, and measurable business value across all ventures.
 </li>
 <li>
 Continuous learning: You're always exploring new frameworks, architectures, and AI tools that make engineering smarter and more efficient.
 
 
 </li>
 </ul>
 
 What You Can Expect
 
 
 
 <ul>
 <li>
 Meaningful Impact: Your work directly contributes to building the core infrastructure behind a new generation of ventures - enabling equitable, AI-native innovation across the Global South.
 </li>
 <li>
 Collaborative Culture: We thrive on openness, curiosity, and collective intelligence. Everyone has a voice, and decisions are made transparently.
 </li>
 <li>
 Growth Mindset: From AI learning and use budgets to mentorship, we invest in your development and help you grow beyond your comfort zone.
 </li>
 <li>
 Competitive Rewards: Tax-free compensation, private health and travel insurance, and a benefits package designed for both security and flexibility.
 </li>
 <li>
 Wellbeing First: Generous PTO, flexible hybrid setup, and wellness programs to help you stay balanced.
 </li>
 <li>
 Work-Life Integration: Office lunches twice a week, great snacks, and team meetups that keep energy and connection high.
 </li>
 <li>
 Global Exposure: Occasional travel across Southeast Asia, Africa, and the Middle East for meaningful, on-ground collaboration with venture teams.
 </li>
 <li>
 Inclusive by Design: We celebrate diversity and are committed to building an environment where everyone belongs.
 
 
 </li>
 </ul>
 
 Why This Role Matters
 
 
 
 You'll be building the operating system for AI-native venture creation &mdash; the foundation that founders across the Global South will use to build the next generation of companies.
 
 
 Your work will power Utopia OS and enable innovation aligned with Qatar's Vision 2030 for a digital, knowledge-based economy.
 
 
 Your work will accelerate venture build time and reduce technical duplication across the Studio &mdash; measurable through faster deployment cycles, improved reliability, and reusable systems.
 
 
 
 Who This Role Isn&rsquo;t Right For
 
 
 
 If you prefer working in rigid environments, or need fully defined specs before shipping, this may not be the right fit.
 
 
 We move fast, operate with high trust, and expect engineers to take ownership from architecture through to production.
 
 
 
 The Utopia Platform Advantage
 
 
 
 The Studio is part of Utopia Capital&rsquo;s integrated venture platform designed to solve the biggest friction points in emerging market venture creation.
 
 
 Most founders face a broken journey: they struggle to build with limited resources, chase capital across disconnected investors, and lack the infrastructure to scale across regions. We've built a different system.
 
 
 The Studio co-builds ventures with domain experts using AI-native infrastructure, compressing the path from concept to product. The Radical Fund and A-typical Ventures provide fast, aligned capital from pre-seed through Series A, removing fundraising friction at every stage. And Utopia OS &mdash; our shared technical backbone &mdash; gives every venture access to the same tools, data systems, and regional networks that would normally take years and millions to build.
 
 
 This means founders can focus on solving real problems while we handle the build infrastructure, capital coordination, and cross-regional expansion. It's a compounding system: each venture we build makes the next one faster, smarter, and more capital-efficient. That's the platform advantage that you will be part of and contribute to, purpose-built for the complexity of the Global South.
 
 
 We believe innovation should be inclusive and globally distributed. Our team is built on openness, curiosity, and collaboration &mdash; with people from across the GCC, Africa, and Southeast Asia working together to build meaningful ventures.
 
 
 All roles are based in Doha, Qatar, with flexible hybrid options and global travel opportunities. We welcome talent from every background to join us in shaping the future of AI-native innovation.
 
 
 Compensation Range: $80K - $120K
 
 
</div>

Founding Product Engineer — Venture Platform & Infrastructure

Codvo.ai

<div><div><div>Project Manager &ndash; Digital Transformation (Data &amp; AI, Oil &amp; Gas) (Category &ndash; Project Manager)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
Company Overview:
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear, funded roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving drilling efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This Data Engineer role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
Job Description:
We are seeking highly skilled Project Manager to lead our digital transformation initiatives across the organization. This role is central to driving efficiency, unlocking business value, and embedding innovation by leveraging Data, AI, and modern cloud technologies. You will oversee the planning, execution, and delivery of transformation projects, ensuring alignment with business goals, regulatory requirements, and the unique operational demands of the oil &amp; gas industry. 
Key Responsibilities
Program &amp; Project Delivery
o Lead end-to-end project management for digital transformation initiatives, from scoping and business case development to execution and benefits realization.
o Establish clear project charters, structured project plans, and KPIs to track outcomes, not just outputs.
o Apply Agile project management methodologies for effective scheduling, resource planning, and milestone delivery.
o Manage cross-functional teams spanning IT, OT, data science, cloud engineering, and business stakeholders.
Digital &amp; Data Transformation
o Drive initiatives leveraging Azure (primary), with supplementary work in Google Cloud and SAP ecosystems.
o Oversee projects involving Databricks, AI/ML, advanced analytics, and data platform buildouts.
o Drive end-to-end business analysis and lead the execution of solution delivery, translating complex business needs into clear actionable requirements and overseeing the implementation to ensure realization of expected business value and solution adoption.
o Possesses strong communication and stakeholder management capabilities to effectively engage executive leadership, cross-functional teams, and external vendors driving alignment, influencing outcomes, and leading timely, high-quality decisions-making throughout the project lifecycle.
Stakeholder Engagement
o Partner with business leaders, engineers, and AI specialists to translate operational challenges into scalable digital solutions.
o Communicate complex technology initiatives in business terms for executive stakeholders.
o Manage organizational change to ensure adoption across technical and non-technical teams.
Governance &amp; Compliance
o Ensure projects align with industry regulations, HSE standards, and data security requirements.
o Establish governance frameworks for AI and data initiatives, balancing innovation with risk management.
Value Realization
o Translate transformation outputs (dashboards, models, workflows) into measurable business outcomes (efficiency gains, reduced downtime, safety improvements).
o Monitor ROI and continuously refine project portfolios based on impact. 
Required Skills &amp; Experience<ul><li>Project Management Expertise: 10+ years of experience leading large-scale digital transformation projects, with formal PM qualifications (PMP, PRINCE2, or equivalent).</li><li>Methodology: Strong background in Agile delivery, including scheduling, dependency management, and milestone tracking.</li><li>Oil &amp; Gas Industry Knowledge: Familiarity with upstream, midstream, or downstream processes, including exposure to OT data (SCADA, historians, WITSML, Petrel).</li><li>Cloud &amp; Data Platforms: Proven experience managing projects in Azure, with working knowledge of GCP and SAP integrations. Familiarity with Databricks is essential.</li><li>AI &amp; Data Literacy: Understanding AI/ML workflows, RAG, knowledge graphs, and data engineering concepts in enterprise settings.</li><li>Stakeholder Management: Demonstrated ability to engage executives, technical teams, and field operations in complex change programs.</li><li>Delivery Track Record: Strong background in managing budgets, risks, and schedules in highly regulated, safety-conscious industries.</li></ul> 
Preferred Skills<ul><li>Experience in data governance frameworks and AI ethics in industrial settings.</li><li>Familiarity with multi-cloud deployments and hybrid architectures.</li><li>Strong business acumen, with the ability to tie technology investments to commercial value.</li></ul></div></div></div>

Project Manager (Data & AI, Oil & Gas) (Doha)

Snoonu

<div>
 
 🚀 Welcome to Your Next Adventure!
 
 
 
 We are looking for a CX Automation Manager to lead our Rider &amp; Merchant Automation initiatives within the broader CX strategy. This individual will define and execute automation strategies that improve operational efficiency, reduce manual dependencies, and enhance the service experiences for our riders and merchants. The ideal candidate combines a customer-first mindset with technical fluency and a track record of scaling operational processes through automation and AI.
 
 
 
 🛠 What You&rsquo;ll Get Your Hands On
 
 
 
 Lead Automation Strategy for Rider &amp; Merchant CX
 
 
 <ul>
 <li>
 Design and implement automation initiatives that enhance the support experience for riders and merchants.
 </li>
 <li>
 Identify pain points and operational inefficiencies to drive self-service and intelligent automation solutions.
 
 
 </li>
 </ul>
 Scale Operational Excellence
 
 
 <ul>
 <li>
 Improve SLAs, issue resolution time, and satisfaction scores for rider and merchant support channels.
 </li>
 <li>
 Develop and standardize SOPs, workflows, and KPIs for automation effectiveness and quality assurance.
 
 
 </li>
 </ul>
 Collaborate Cross-Functionally
 
 
 <ul>
 <li>
 Partner with Product, Engineering, Data, and Support teams to deploy scalable solutions, such as chatbots, process automation, and AI-based tools.
 </li>
 <li>
 Align automation initiatives with broader company goals and customer-centric values.
 
 
 </li>
 </ul>
 Use Data to Drive Impact
 
 
 <ul>
 <li>
 Leverage analytics, SQL, and VOC data to identify automation opportunities and evaluate ROI.
 </li>
 <li>
 Design dashboards, experiments, and reports that guide continuous improvement.
 
 
 </li>
 </ul>
 Support Strategic CX Projects
 
 
 <ul>
 <li>
 Contribute to Voice of the Customer (VoC) initiatives, rider/merchant journey mapping, and feedback loops.
 </li>
 <li>
 Assist in identifying churn drivers and working with internal teams to enhance retention.
 
 
 </li>
 </ul>
 Team Development
 
 
 <ul>
 <li>
 Manage and mentor a small team or cross-functional task force focused on automation programs.
 </li>
 <li>
 Foster a culture of continuous learning, experimentation, and operational excellence.
 
 
 </li>
 </ul>
 
 🧙&zwj;&male;️ The Magic You Bring
 
 
 
 <ul>
 <li>
 7+ years of experience in customer experience, operations, or strategy within tech, logistics, or marketplaces.
 </li>
 <li>
 3+ years of experience in automation strategy, process reengineering, or support tech implementation (e.g., chatbots, self-service, workflow automation).
 </li>
 <li>
 Proven success in improving operational KPIs through automation in rider, merchant, or customer-facing environments.
 </li>
 <li>
 Hands-on experience working with CX platforms (e.g., Zendesk, Salesforce), automation tools, or low-code platforms.
 </li>
 <li>
 Proficiency in data analysis (SQL, Excel, BI tools) to inform and evaluate automation initiatives.
 </li>
 <li>
 Strong project management and stakeholder collaboration skills.
 </li>
 <li>
 Ability to thrive in a fast-paced, ambiguous, and cross-functional environment.
 </li>
 <li>
 Passion for improving user journeys with a customer-first mindset.
 
 
 </li>
 </ul>
 
 ✨ Bonus Points If You Have
 
 
 
 <ul>
 <li>
 Experience in gig-economy, delivery, or logistics platforms.
 </li>
 <li>
 Familiarity with merchant/rider experience operations and performance metrics.
 </li>
 <li>
 Exposure to fraud detection workflows or process design is a plus.
 
 
 </li>
 </ul>
 
 Inside Snoonu&rsquo;s Universe
 
 
 
 Snoonu is Qatar&rsquo;s homegrown Super App, reinventing daily life with blazing-fast delivery, ride-hailing, and shopping - all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.
 
 
 
 The Dream We&rsquo;re Chasing
 
 
 
 To be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.
 
 
 
 The Quest We&rsquo;re On
 
 
 
 To radically transform how people live by leveraging technology to connect them with endless possibilities.
 
 
 
 Our Everyday Superpowers
 
 
 
 
 👥 Be Customer Obsessed:
 
 &ldquo;Focus on the customer and all else will follow.&rdquo;
 
 
 
 💪 Act with Integrity:
 
 &ldquo;We are honest, ethical, and trustworthy in everything we do.&rdquo;
 
 
 
 🧪 Be Curious and Creative:
 
 &ldquo;We constantly innovate and create solutions to bring a lasting positive impact.&rdquo;
 
 
 🏅
 
 Lead by Example and Take Ownership:
 
 &ldquo;Be the change you want to see and take ownership.&rdquo;
 
 
 
 🚀 Work Smart and Deliver Results:
 
 &ldquo;You can do more by doing less, better, and faster.&rdquo;
 
 
 
 👨&zwj;💼 It's All About People:
 
 &ldquo;Be a team player; together we are stronger.&rdquo;
 
 
 
 Perks &amp; Worklife Magic At Snoonu
 
 
 
 
 🌐 Remote &amp; Global Vibes &ndash;
 
 Collaborate with a worldwide crew.
 
 
 
 🧠 Brain Boosters &ndash;
 
 Learning budgets, access to courses, and tools for your growth.
 
 
 
 🚒 Builder&rsquo;s Playground &ndash;
 
 Own your tasks, own your path! We&rsquo;re big on autonomy.
 
 
 
 📦 Shared Success &ndash;
 
 We offer equity because we build this together.
 
 
 
 🌺 Flexible Time Off &ndash;
 
 We take recharging seriously. Generous leave and wellness policies.
 
 
 
 🛠️ Agile Everything &ndash;
 
 Scrum isn&rsquo;t a buzzword here. It&rsquo;s how we roll, from product to ops.
 
 
 
 Beyond the Code: Giving Back Matters
 
 
 
 We don&rsquo;t just build an app. We&rsquo;re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we&rsquo;re always finding ways to do better&mdash;and we invite you to be a part of that mission.
 
 
 
 Diversity Isn&rsquo;t Just a Buzzword
 
 
 
 At Snoonu, fairness and inclusion are the foundation of everything we do. We&rsquo;re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.
 
 
 
 Let&rsquo;s Build the Future Together
 
 
 
 Apply now to join a tech team where your code sparks change, your voice is heard, and your growth is guaranteed. Let&rsquo;s make some tech magic together.
 
 
 Stay in the loop&mdash;connect with us on LinkedIn!
</div>

Senior Manager – Customer Experience Automation (Rider & Merchant)

Wood

<div>
 
 Job Description
 
 
 
 
 Remarkable people, trusted by clients to design and advance the world
 
 
 
 Wood is currently recruiting Lead PACO Engineer to join our team in Doha, Qatar
 
 
 
 Responsibilities
 
 
 
 
 Designing the future. Transforming the world
 
 
 
 Reflecting The Market Focus For The Office In Both Brownfield And Green Field Opportunities, Multi-skilled Personnel Are Sought, In Particular Those With Experience In
 
 
 Onshore Oil and Gas
 
 
 Offshore Oil and Gas
 
 
 
 What We Can Offer
 
 
 
 <ul>
 <li>
 Meaningful and interesting projects delivered to leaders of industry across oil and gas and emerging energy sectors
 </li>
 <li>
 Commitment to Diversity and Inclusion; we are an organisation actively committed to diversity and inclusion across our busiess with employee networks committed to giving all employees a voice
 </li>
 <li>
 Competitive salary with regular salary reviews to ensure we are rewarding at the right level in line with the market
 </li>
 <li>
 Life Insurance; Provides payment of 2 x Base Salary (up to a maximum of QAR 1 million) upon death
 </li>
 <li>
 End of Service Gratuity; In line with Qatar Labor Law, upon completion of 1 years&rsquo; service employees are eligible for an End of Service benefit of three weeks for every year of service.
 </li>
 <li>
 Medical Insurance: Ensures cover (up to a maximum of QAR 250,000 per person, per year) is available should you require treatment. Pre-existing and/or chronic conditions are covered up to QAR 10,000.
 </li>
 <li>
 Employee Assistance Programme: Allows you to feel comfortable knowing that you or your immediate family members can confidentially discuss any work or personal issues that are an inevitable part of life. The programme helps support your mental, physical, social &amp; financial well-being.
 </li>
 <li>
 Professional Memberships; One professional membership, registration, subscription, certification and/or license cost per annum for all active Wood employees. The membership must be relevant to the role you are currently employed in or be part of a development plan. Reimbursement should be claimed via the expenses procedure system, with supporting evidence.
 </li>
 <li>
 Global connections: join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Provide technical assurance of Field Instrumentation and Process Automation designs through appropriate application of Shell technical standards and specifications, implementation of DCAF and review of design deliverables and activities.
 </li>
 <li>
 Ensure schedule and cost considerations are included in design decisions, while maintaining primary responsibility to assure safe and appropriate quality designs.
 </li>
 <li>
 Ensure instrumentation and Process Automation Engineering activities are executed in alignment with Shell&rsquo;s Project Delivery Roadmap and Opportunity Realization Process.
 </li>
 <li>
 Delivery of the instrumentation and Process Automation equipment engineering scope for assigned projects, ensuring flawless start&hyphen;up of Equipment and compliance with agreed HSSE practices and procedures as defined under the QSGTL HSSE management system.
 </li>
 <li>
 Act as PACO lead engineer, he will have overall responsibilities of all engineering deliverables ranging from engineering study deliverables to RFC packages, commissioning procedures, ITPs, Material Requisition, Technical Bid Evaluations, etc.
 </li>
 <li>
 Drive technical assurance: Has an overall technical assurance role for engineering and delivery of PACO related activities to meet project specifications and Shell standards including DEM1 and DEM2 requirements.
 </li>
 <li>
 Participate in engineering reviews regarding instrumentation and Process Automation engineering discipline, witnessing of Factory Acceptance Tests, as required and participate in safety and quality audits and field reviews as required.
 </li>
 <li>
 Drive installation quality, working with Construction contractor and QPH Construction team and provide technical support for commissioning and/or start up of field instrumentation and Process Automation Equipment where applicable.
 </li>
 <li>
 To be fully familiar and up to date with latest Shell and Industry standards and ensure compliance of projects design with these latest standards.
 </li>
 <li>
 To be fully familiar with Shell TAMAP, EFAs and SPEP for Process Automation and Instrumentation equipment
 </li>
 <li>
 Support COMPANY in auditing construction field activities for compliance and assist in resolution of field non&hyphen;conformance issues as required.
 </li>
 <li>
 Ensure design meets requirements of Shell&rsquo;s HSSE Framework.
 </li>
 <li>
 Design and develop, as required, innovative technical approaches to the broader process engineering issues and contribute to continuous business improvement initiatives (fit for purpose)
 </li>
 <li>
 Provide (one stop shop) instrumentation and Process Automation equipment engineering support and delivery for QPH projects.
 </li>
 <li>
 Accountability for PACO engineering deliverables and engineering execution planning support including provision of senior engineering expertise.
 </li>
 <li>
 Proactively working with the Engineering Manager to keProjects on track and achieve Top Quartile (TQ) performance for the portfolio.
 </li>
 <li>
 Drive and delivery of an ever increasing effectiveness and efficiency in producing project designs, through Elimination, Simplification, Standardisation and Automation balanced against the need for Top Quartile FEL in, and quality designs for the Qatar Project Delivery Hub projects.
 </li>
 <li>
 Lead Management of Repeated Failures for respective discipline
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 What makes you remarkable?
 
 
 
 At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world&rsquo;s most critical challenges.
 
 
 BSc., University degree in Engineering
 
 
 Minimum 15 years experience in Brown Field Oil and Gas related Instrumentation and Process Control mechanical Design and Engineering with minimum 5 years of construction and commissioning activities
 
 
 Previous experiences with Shell DEPs will be a plus
 
 
 Performs as a professional Instrument and Process Automation engineer for projects and plant modifications from Front End Development (FEED) through detail engineering execution / commissioning
 
 
 and start&hyphen;up. Past work experience should entail but not limited to the following:
 
 
 Technical support for operation and maintenance of Instrument and Process Automation
 
 
 Testing, installation, commissioning and start up of Instrument and Process Automation equipment including FAT tests, Site Acceptance tests
 
 
 Design, selection and specification of Process automation and Instrumentation equipment experience with DCS IPS systems and field instruments (i.e. pressure ,temperature, level, analysers, etc.) and Process Control development
 
 
 Experiences with HAZOP,IPF classification processes, onshore offshore experience, awareness of the ISO standards
 
 
 Minimum 5&hyphen;10 years experience in Brown Field Oil and Gas Project Delivery as a Umbrella Contract
 
 
 Lead PACO engineer function in a multidiscipline Workforce
 
 
 Experience in the Middle East, knowledge of GTL, Gas processing and Utilities are an advantage, as is frontend and commissioning experience and project execution.
 
 
 Proven leadership skills and strong personal drive in order to meet deadlines and specific targets.
 
 
 Team player with clear evidence of working with others to deliver on goals.
 
 
 Strong, and demonstrated, personal commitment to HSSE Leadership and experience in managing HSSE throughout all project phases
 
 
 Experience with project management
 
 
 Proven leadership skills and strong personal drive in order to meet deadlines and specific targets.
 
 
 Team player with clear evidence of working with others to deliver on goals.
 
 
 Strong, and demonstrated, personal commitment to HSSE Leadership and experience in managing HSSE throughout all project phases
 
 
 Ability to work and manage in a multi&hyphen;cultural environment
 
 
 
 About Us
 
 
 
 Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com
 
 
 
 Diversity Statement
 
 
 
 We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.
</div>

Lead PACO Engineer

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