engineering coordinator

director of learning & development Jobs in Doha

director of learning & development

engineering supervisor

guest experience expert

guest experience supervisor

ai learning experience lead

Scale AI

<div>
 At Scale AI, we enable governments to adopt AI with confidence. Our mission is not just to deploy cutting-edge technology&mdash;but to ensure it is trusted, understood, and used. We&rsquo;re building a new discipline that integrates enablement, change management, and AI fluency to support national transformation efforts.
 <br/>
 <br/>
 We&rsquo;re looking for a strategic and hands-on AI Learning Experience Lead to design and deliver GenAI training programs that accelerate adoption across public sector audiences. This senior IC role combines instructional design, facilitation, user-centered thinking, and AI storytelling. You&rsquo;ll build the foundation for a scalable learning system that helps demystify AI for government employees, educators, and youth.
 <br/>
 <br/>
 <strong>
  You will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and launch a flagship AI 101 course, hosted on a selected LMS with certification and badging features.
  </li>
  <li>
   Develop localized, modular GenAI learning content for key audiences&mdash;public servants, educators, youth, and executives.
  </li>
  <li>
   Deliver high-impact workshops and sessions, supporting national AI initiatives.
  </li>
  <li>
   Partner with internal teams to translate technical concepts into accessible, engaging formats.
  </li>
  <li>
   Localize global content to align with Gulf cultural, institutional, and linguistic norms.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally you'd have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5+ years in instructional design, learning experience design, or training delivery, ideally in public or government sectors.
  </li>
  <li>
   Skilled in simplifying technical content&mdash;you can explain GenAI clearly in both Arabic and English.
  </li>
  <li>
   Strong facilitation and communication skills; confident presenting to senior stakeholders and diverse audiences.
  </li>
  <li>
   Comfortable operating in fast-paced, ambiguous environments, with a strong sense of ownership and initiative.
  </li>
  <li>
   Experience with certification programs, LMS platforms, and scalable training systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   PLEASE NOTE:
  </em>
 </strong>
 <em>
  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
  <br/>
  <br/>
 </em>
 <strong>
  About Us:
  <br/>
  <br/>
 </strong>
 <em>
  At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
  <br/>
  <br/>
 </em>
 <em>
  We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  <br/>
  <br/>
 </em>
 <em>
  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 </em>
 <em>
  Know Your Rights poster
 </em>
 <em>
  for additional information.
  <br/>
  <br/>
 </em>
 <em>
  We comply with the United States Department of Labor's
 </em>
 <em>
  Pay Transparency provision
 </em>
 <em>
  .
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   PLEASE NOTE:
  </strong>
  We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 </em>
</div>


AI Learning Experience Lead

Quantiphi

<div>
 <p>
  <strong>
   Designation:
  </strong>
  Senior Data Scientist
 </p>
 <p>
  <strong>
   Experience level:
  </strong>
  8 to 15 years
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills - Required:
  </strong>
 </p>
 <ul>
  <li>
   Knowledge of statistical modelling and popular machine learning models.
  </li>
  <li>
   Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
  </li>
  <li>
   Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.
  </li>
  <li>
   Computer Vision: Image pre-processing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.
  </li>
  <li>
   NLP: Vector Space modelling in NLP, LSTMS, Sequence modelling, Attention modelling, BERT, Transformers. Using the abovementioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis.
  </li>
  <li>
   Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.
  </li>
  <li>
   Feature engineering, Feature selection/Feature importance, Dimensionality.
  </li>
  <li>
   Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking.
  </li>
  <li>
   Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.
  </li>
  <li>
   Critical eye for the quality of data and strong desire to get it right.
  </li>
  <li>
   A pleasantly forceful personality and charismatic communication style.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills - Nice to Have:
  </strong>
 </p>
 <ul>
  <li>
   Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.
  </li>
  <li>
   Experience in GCP based ML solutions and services like Contact Centre AI, Vertex AI, Document AI, Speech-to-Text, Text-to Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Job will require:
  </strong>
 </p>
 <ul>
  <li>
   Ability to multitask and work on multiple engagements related to different domains.
  </li>
  <li>
   Be able to pick up newer technologies in a short span of time
  </li>
  <li>
   Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.
  </li>
  <li>
   Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.
  </li>
  <li>
   Follow Agile standards and methodologies in all phases of the project.
  </li>
  <li>
   Ensure excellence in delivery to customers
  </li>
  <li>
   Self-driven individuals with a passion for research and development and the zest for solving what matters.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What&rsquo;s in it for you?
  </strong>
 </p>
 <ul>
  <li>
   The experience of working in a category defining high growth start-ups in the transformational AI, Decision Science and Big Data Domain.
  </li>
  <li>
   The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation
  </li>
  <li>
   The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.
  </li>
  <li>
   An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hours
  </li>
 </ul>
</div>


Senior Data Scientist

GE Aerospace

<div>
 <strong>
  Job Description Summary
  <br/>
  <br/>
 </strong>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Company Overview
  <br/>
  <br/>
 </strong>
 Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!
 <br/>
 <br/>
 <strong>
  Site Overview
  <br/>
  <br/>
 </strong>
 We serve regional customers with our "Two sites, one team" approach, operating from OWS Doha and Dubai. We have exciting growth plans for the upcoming years and are committed to excellence in everything we do. Our team is diverse, with more than 20 different nationalities, and we celebrate different perspectives and backgrounds, which contribute to innovative solutions and a dynamic workplace. Join us and be part of a team that is dedicated to making a difference in the aerospace industry.
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.
 <br/>
 <br/>
 At GE Aerospace Technology &amp; Operations, our customers challenge us to tackle some of the world&rsquo;s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.
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 <br/>
 What You will Do
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 <br/>
 <ul>
  <li>
   Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
  </li>
  <li>
   Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems
  </li>
  <li>
   Build and present product architectures, write technical code, and demo applications to stakeholders.
  </li>
  <li>
   Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value
  </li>
  <li>
   Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
  </li>
  <li>
   Use your strengths to support team members and build cross-functional relationships across the company.
  </li>
  <li>
   Work to ship solutions to production that meet business needs and drive impact.
   <br/>
   <br/>
  </li>
 </ul>
 Our culture thrives on innovation, diversity, and deep collaboration. You&rsquo;ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.
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 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Graduate or pursuing a bachelor&rsquo;s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
  </li>
  <li>
   Minimum 3.7 cumulative GPA off a 4.0 scale without rounding
  </li>
  <li>
   Strong academic performance in Computer Science or other STEM disciplines
  </li>
  <li>
   Experience designing AI solutions and architecting distributed data systems
  </li>
  <li>
   Proficiency in programming and debugging with Python, C#, C++, and SQL
  </li>
  <li>
   Customer-centric mindset with ability to lead design thinking workshops
  </li>
  <li>
   Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision
  </li>
  <li>
   Experience building solutions using public cloud platforms such as AWS or Azure
  </li>
  <li>
   Preferred but not required: AWS and/or Azure certification
  </li>
  <li>
   No prior work experience required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Internship
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Winter Full-time (5 weeks) + Spring Part-time (12 weeks)
  </li>
  <li>
   Location: Remote
  </li>
  <li>
   Paid Internship
  </li>
  <li>
   Travel Opportunities
  </li>
  <li>
   Real-world project ownership
  </li>
  <li>
   Mentorship from experienced engineers
  </li>
  <li>
   Opportunity for return offers
   <br/>
   <br/>
  </li>
 </ul>
 At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
 <br/>
 <br/>
 <strong>
  <strong>
   <strong>
    Additional Information
    <br/>
    <br/>
   </strong>
  </strong>
 </strong>
 <strong>
  Relocation Assistance Provided:
 </strong>
 No
</div>


Artificial Intelligence Intern

Codvo.ai

<div><div><div><div>At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking.</div><div><b>
About the Role</b></div><div>
We are seeking a highly skilled and experienced Senior AI Engineer a deep understanding of asset-heavy industries such as oil &amp; gas, manufacturing, or utilities to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions.<br>
You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems.</div><div><b>
Responsibilities</b></div><div><b>
Generative AI Pipeline Development</b></div><ul><li><ul><li>Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads.</li><li>Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs.</li><li>Build CI/CD pipelines with integrated prompt regression testing and version control.</li><li>Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows.</li><li>Monitor system performance using tools like Langfuse or Prometheus.</li></ul></li></ul><div><b>
Data and Document Ingestion</b></div><ul><li><ul><li>Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data.</li><li>Apply preprocessing pipelines for text, images, and code.</li><li>Ensure data integrity, format consistency, and security across sources.</li></ul></li></ul><div><b>
AI Service Integration</b></div><ul><li><ul><li>Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.).</li><li>Build internal APIs for smooth backend-AI communication.</li><li>Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets.</li><li>Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy.</li></ul></li></ul><div><b>
Retrieval-Augmented Generation (RAG) Pipelines</b></div><ul><li><ul><li>Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API).</li><li>Design custom retrieval strategies for multi-modal or multi-source documents.</li><li>Apply post-retrieval ranking using DPO or feedback-based techniques.</li><li>Improve contextual relevance through re-ranking, chunk merging, and scoring logic.</li></ul></li></ul><div><b>
LLM Integration and Optimization</b></div><ul><li><ul><li>Manage prompt engineering, model interaction, and tuning workflows.</li><li>Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design.</li><li>Optimize generation using temperature tuning, token limits, and speculative decoding.</li><li>Integrate observability and cost-monitoring into LLM workflows.</li></ul></li></ul><div><b>
Backend Services Ownership</b></div><ul><li><ul><li>Design and maintain scalable backend services supporting GenAI applications.</li><li>Implement monitoring, logging, and performance tracing.</li><li>Build RBAC (Role-Based Access Control) and multi-tenant personalization.</li><li>Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production.</li></ul></li></ul><div><b>
Required Skills and Qualifications</b></div><div><b>
Education</b></div><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, or related field.</li></ul><div><b>
Experience</b></div><ul><li><ul><li>5+ years of experience in AI/ML engineering with end-to-end pipeline development.</li><li>Hands-on experience building and deploying LLM/RAG systems in production.</li><li>Strong experience with public cloud platforms (AWS, Azure, or GCP).</li></ul></li><li>
2+ years of experience in asset-heavy industries (e.g., oil &amp; gas, utilities, manufacturing).</li></ul><div><b>
Technical Skills</b></div><ul><li><ul><li>Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch.</li><li>Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph.</li><li>Experience with RESTful API development and version control using Git.</li><li>Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval.</li><li>Familiarity with Docker, Kubernetes, and scalable microservice design.</li><li>Experience with observability tools like Prometheus, Grafana, or Langfuse.</li></ul></li></ul><div><b>
Generative AI Specific Skills</b></div><ul><li><ul><li>Knowledge of LLMs, VAEs, Diffusion Models, GANs.</li><li>Experience building structured + unstructured RAG pipelines.</li><li>Prompt engineering with safety controls, schema enforcement, and hallucination mitigation.</li><li>Experience with prompt testing, caching strategies, output filtering, and fallback logic.</li><li>Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods.</li></ul></li></ul><div><b>
Soft Skills</b></div><ul><li><ul><li>Strong analytical, problem-solving, and debugging skills.</li><li>Excellent collaboration with cross-functional teams: product, QA, and DevOps.</li><li>Ability to work in fast-paced, agile environments and deliver production-grade solutions.</li><li>Clear communication and strong documentation practices.</li></ul></li></ul><div><b>
Preferred Qualifications</b></div><ul><li><ul><li>Experience with OCR, document parsing, and layout-aware chunking.</li><li>Hands-on with MLOps and LLMOps tools for Generative AI.</li><li>Contributions to open-source GenAI or AI infrastructure projects.</li><li>Knowledge of GenAI governance, ethical deployment, and usage controls.</li><li>Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI.</li></ul></li></ul></div></div></div><p></p>

AI Lead (Doha , Qatar)

Wood

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Remarkable people, trusted by clients to design and advance the world
  <br/>
  <br/>
 </strong>
 Wood is currently hiring for a AI Research Intern to support future growth in our expanding business
 <br/>
 <br/>
 This is a 3 month Internship based in Qatar.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 AI Research Intern will Join Wood PLC&rsquo;s Asset Life Optimisation consulting team to dive into the intersection of artificial intelligence and asset integrity. This internship focuses on exploring how AI and machine learning can enhance service delivery in corrosion, vibration, and integrity management.
 <br/>
 <br/>
 <strong>
  Designing the future. Transforming the world
  <br/>
  <br/>
 </strong>
 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
 <br/>
 <br/>
 Onshore Oil and Gas
 <br/>
 <br/>
 Offshore Oil and Gas
 <br/>
 <br/>
 <strong>
  What We Can Offer
  <br/>
  <br/>
 </strong>
 <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 business with employee networks committed to giving all employees a voice
  </li>
  <li>
   Global connections: join experts around the world who are at the leading edge of our industry, shaping the standards of our profession
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Research current AI applications in asset integrity (e.g., predictive modeling, anomaly detection).
  </li>
  <li>
   Identify inefficiencies in existing workflows and propose AI-based solutions.
  </li>
  <li>
   Interview team members to understand data availability and operational challenges.
  </li>
  <li>
   Develop 2&ndash;3 AI use cases with feasibility assessments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Deliverables
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A research report or white paper.
  </li>
  <li>
   A presentation summarizing findings and recommendations.
  </li>
  <li>
   A simple prototype or mock-up (optional).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  What makes you remarkable?
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree (or final year student) in Engineering, Computer Science, Data Science, or a related field.
  </li>
  <li>
   Strong analytical and research skills.
  </li>
  <li>
   Basic understanding of AI/ML concepts and tools.
  </li>
  <li>
   Ability to communicate technical findings clearly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with Python, MATLAB, or other data analysis tools.
  </li>
  <li>
   Exposure to asset integrity or reliability engineering concepts.
  </li>
  <li>
   Experience with data visualization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Learning Opportunities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Research and innovation in AI applications.
  </li>
  <li>
   Technical writing and presentation skills.
  </li>
  <li>
   Exposure to real-world engineering challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 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
 <br/>
 <br/>
 <strong>
  Diversity Statement
  <br/>
  <br/>
 </strong>
 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>


AI Research Intern

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Senior Partner Development Management - Solutions</b></h1><div><div><p>
Doha, Ad Daw&#7721;ah, Qatar</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 23, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1878777</b></div></div></div><div><div><div>
Work site</div><div><b>
3 days / week in-office</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Sales</b></div></div></div><div><div><div>
Discipline</div><div><b>
Partner Development Management</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
The Partner Development Manager (PDM) is responsible for driving Microsoft&rsquo;s partner strategy and business plan execution, focusing on delivering key performance indicators and accelerating revenue growth across Microsoft Cloud in SMB, Enterprise, and SMC segments. This role leads partner innovation in areas such as AI, Business Application, Cloud Platform, and Security, Edge Computing, while ensuring program and investment utilization and executing sales strategies aligned with our sales model. The PDM leads revenue growth, partner capacity, technical mastery, compliance, and fosters cross-group collaboration and continuous skilling.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Extensive of experience in sales, partner management, business development, and sales strategy.</li><li>
Proven track record of sales leadership, including building and scaling revenue engines, driving co-sell motions, and delivering against aggressive growth targets.</li><li>
Deep understanding of partner operating models, frameworks, and transformation strategies across infrastructure, cloud, and AI.</li><li>
Proven experience engaging and influencing executive management internally and externally.</li><li>
Demonstrated success in partner ecosystem development, including onboarding, enablement, and performance acceleration.</li><li>
Expertise in Microsoft solution areas.</li><li>
Strong consultative selling skills with the ability to translate complex technical solutions into business value.</li><li>
Experience leading cross-functional teams and managing executive-level stakeholder relationships.</li><li>
Ability to apply AI business value in real-world scenarios and drive personal productivity using AI.</li><li>
Excellent communication, strategic thinking, and organizational agility.</li></ul></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><h3 class="jobSectionHeader"><b>
Partner Planning &amp; Strategy</b></h3><ul><li>
Develop and execute a comprehensive Partner Business Plan (PBP) that aligns partner goals with Microsoft&rsquo;s mission, culture, and targets.</li><li>
Drive impactful Territory Planning and ensure partner engagement delivers measurable KPIs.</li><li>
Maintain a high-impact Rhythm of Business (ROB) focused on performance and growth.</li></ul><h3 class="jobSectionHeader"><b>
Business Leadership</b></h3><ul><li>
Build and nurture strategic relationships with senior leaders across Microsoft and partner organizations. Facilitate executive alignment, sponsor engagement, and cross-functional collaboration to drive business outcomes and accelerate joint initiatives.</li><li>
Align partner strategy with Microsoft&rsquo;s solution plays and fiscal priorities.</li><li>
Lead partner transformation through solution area expertise, AI-driven business value, and industry innovation.</li><li>
Activate and scale partner practices via Microsoft programs.</li><li>
Ensure compliance, governance, and adherence to Microsoft&rsquo;s ethical standards.</li></ul><h3 class="jobSectionHeader"><b>
Sales Leadership</b></h3><ul><li>
Lead and accelerate partner pipeline through consultative selling, co-sell execution, and robust deal governance.</li><li>
Support top deals and drive opportunity acceleration to meet revenue targets.</li><li>
Connect partners with segment sellers and lead revenue deep dives by solution area.</li><li>
Execute the MCEM Win Formula across priority solution plays, leveraging digital platforms, marketplaces, and AI for targeted solutions.</li></ul><h3 class="jobSectionHeader"><b>
Excellence Leadership</b></h3><ul><li>
Lead skilling and enablement through programs like MAPS (Microsoft AI Powered Selling), TechBoost, and Second Nature.</li><li>
Promote partner certifications, specializations, and Marketplace readiness.</li><li>
Lead with strategic communication and stakeholder management to foster trust and clarity.</li><li>
Maintain high standards of reporting and accountability using KPIs such as CSP Cloud Consumption, Security Billed, and customer acquisition.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Senior Partner Development Management - Solutions

QatarEnergy LNG

<div>
 Job description:
 <br/>
 <br/>
 Job Purpose
 <ul>
  <li>
   Oversee and direct the strategic management of material Purchase Orders (POs), ensuring timely availability of critical materials for high-complexity LNG production and offshore operations, while driving advanced digitalization and data-driven optimization to enhance logistics efficiency, mitigate global supply chain disruptions, and ensure adherence to Key Performance Indicators (KPIs) and service level requirements. Lead compliance with international trade laws and government regulations for inbound materials and freight forwarding, and spearhead initiatives to integrate sustainable practices and innovative technologies to future-proof the supply chain.
  </li>
 </ul>
 Key Job Accountabilities - I
 <ul>
  <li>
   <p>
    Design and execute a high-impact expediting and logistics strategy aligned with corporate objectives to ensure a risk-resilient supply chain for high-complexity LNG production and offshore operations.
   </p>
  </li>
  <li>
   <p>
    Lead international supplier performance governance, overseeing KPI adherence, contract compliance, and contingency planning for key vendors in North America, Europe, Asia, and the Middle East.
   </p>
  </li>
  <li>
   <p>
    Develop and manage a corporate-wide Supply Chain Control Tower for real-time global visibility into freight movements, vendor performance, risk exposure, and compliance monitoring.
   </p>
  </li>
  <li>
   <p>
    Steward high-stakes negotiations with port authorities, customs regulators, and government bodies to ensure seamless cross-border logistics while maintaining regulatory compliance. Establish and enforce vendor Service Level Agreements (SLAs) for time-critical deliveries, integrating AI-based contract compliance and penalty enforcement mechanisms for delays.
   </p>
  </li>
  <li>
   <p>
    Oversee the logistics of ultra-heavy and specialized cargo movements, requiring custom chartering, route surveys, and regulatory approvals for high-value, oversized LNG equipment.
   </p>
  </li>
 </ul>
 Key Job Accountabilities - II
 <ul>
  <li>
   Spearhead a fully digital expediting framework, automating routine expediting functions, integrating machine learning for intelligent prioritization, and leveraging robotic process automation (RPA) to optimize workflows.
  </li>
  <li>
   Manage organization-wide cost-saving initiatives, negotiating preferential logistics rates through volume-based contracts, long-term strategic freight alliances, and supplier collaboration programs.
  </li>
  <li>
   Lead a high-performance logistics and expediting workforce, embedding a culture of continuous improvement, operational excellence, and leadership development within the department.
  </li>
  <li>
   Establish and maintain up-to date knowledge of applicable local and international laws, regulations, customs requirements, and authority guidelines to ensure full compliance and seamless operation.
  </li>
  <li>
   Lead sustainability initiatives within the logistics function, focusing on reducing carbon emissions, optimizing fuel efficiency, and implementing green logistics practices. Develop and implement advanced risk management frameworks to proactively identify and mitigate potential supply chain disruptions.
  </li>
 </ul>
 <br/>
 <br/>
 Profile description:
 <br/>
 <br/>
 Qualifications
 <ul>
  <li>
   Bachelor&rsquo;s degree in engineering, Supply Chain Management, Commercial discipline or equivalent.
  </li>
 </ul>
 Knowledge and/or Experience - I
 <ul>
  <li>
   10 years&rsquo; direct experience oil and gas industry with purchasing / procurement experience including 3 years&rsquo; supervisory experience.
  </li>
  <li>
   Knowledge of government relations and industry best practices.
  </li>
 </ul>
</div>


Head of Expediting & Logistics

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