project manager

account manager

sales manager

product manager

sales coordinator

ai team lead

InnovationTeam

<div>InnovationTeam is a forward-thinking technology company specialized in delivering advanced AI-driven solutions for enterprises and government organizations. We are currently seeking a highly skilled AI Team Lead to join our team onsite in Saudi Arabia.
As an AI Team Lead at InnovationTeam, you will be responsible for leading the design, development, implementation, and delivery of end-to-end AI solutions across multiple domains, including Generative AI, machine learning, deep learning, data science, computer vision, NLP, intelligent automation, and enterprise AI systems.
This role is not limited to Generative AI. It requires a strong technical background across modern AI technologies, hands-on experience in building production-ready AI solutions, and the leadership capability to manage AI engineers, data scientists, ML engineers, and cross-functional delivery teams.
The ideal candidate is a strong technical leader who can translate business requirements into scalable AI solutions, manage project execution, guide technical teams, communicate with stakeholders, and ensure successful delivery of AI initiatives within scope, timeline, and quality standards.
At InnovationTeam, we value innovation, ownership, collaboration, and continuous learning. We provide a dynamic work environment where technical excellence, leadership, and business impact are highly recognized. 
Requirements 
We are seeking an experienced AI Team Lead to lead onsite AI delivery in Saudi Arabia. The role involves managing AI projects, supervising technical teams, designing AI architectures, developing enterprise-grade solutions, and ensuring successful deployment of AI systems into production.
The candidate should have strong experience in Generative AI, machine learning, deep learning, data science, AI solution architecture, MLOps/LLMOps, cloud deployment, and project management.
Key Responsibilities<ul><li>
Lead the AI team in designing, developing, and delivering enterprise AI solutions.</li><li>
Manage AI projects from requirement gathering to production deployment.</li><li>
Translate business needs into technical AI solution designs and implementation plans.</li><li>
Design and supervise solutions involving Generative AI, LLMs, RAG systems, AI agents, NLP, machine learning, deep learning, and computer vision.</li><li>
Lead data science initiatives, including data analysis, feature engineering, model development, evaluation, and optimization.</li><li>
Build and oversee end-to-end AI pipelines, including data ingestion, preprocessing, model training, inference, monitoring, and continuous improvement.</li><li>
Guide the implementation of machine learning and deep learning models using frameworks such as PyTorch, TensorFlow, Scikit-learn, and related tools.</li><li>
Supervise the development of AI agents, chatbots, recommendation systems, classification models, predictive analytics, and intelligent automation solutions.</li><li>
Define AI architecture, integration patterns, APIs, microservices, and deployment strategies.</li><li>
Ensure AI solutions are scalable, secure, reliable, cost-efficient, and production-ready.</li><li>
Collaborate with business stakeholders, product teams, data teams, software engineers, and cloud teams.</li><li>
Manage task allocation, technical reviews, project milestones, risks, and delivery timelines.</li><li>
Establish best practices for MLOps, LLMOps, model governance, model monitoring, documentation, and quality assurance.</li><li>
Support presales and client discussions by providing technical input, solution proposals, effort estimation, and feasibility assessments.</li><li>
Ensure AI solutions comply with security, privacy, governance, and responsible AI principles.</li><li>
Mentor and coach AI engineers, ML engineers, data scientists, and junior team members.</li><li>
Stay up to date with the latest developments in AI, machine learning, deep learning, Generative AI, cloud AI services, and enterprise AI platforms.</li></ul>
Required Skills &amp; Qualifications<ul><li>
Minimum 5 years of professional experience in AI, machine learning, data science, or related technology fields.</li><li>
Minimum 2&ndash;3 years of experience leading AI teams or managing AI solution delivery.</li><li>
Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, or a related field.</li><li>
Strong hands-on experience in machine learning, deep learning, NLP, Generative AI, and data science.</li><li>
Solid understanding of LLMs, RAG architectures, AI agents, vector databases, prompt engineering, and model evaluation.</li><li>
Strong experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex.</li><li>
Experience in building and deploying ML/DL models for real-world enterprise use cases.</li><li>
Strong understanding of supervised learning, unsupervised learning, classification, regression, clustering, recommendation systems, forecasting, and anomaly detection.</li><li>
Experience with data preparation, data quality assessment, feature engineering, model training, validation, testing, and performance monitoring.</li><li>
Strong software engineering knowledge, including REST APIs, microservices, Docker, Kubernetes, CI/CD, and Git.</li><li>
Experience deploying AI workloads on cloud platforms such as OCI, Azure, AWS, or GCP. OCI experience is preferred.</li><li>
Knowledge of MLOps and LLMOps practices, including model versioning, monitoring, retraining, evaluation, and deployment automation.</li><li>
Strong project management skills, including planning, estimation, risk management, stakeholder communication, and delivery tracking.</li><li>
Ability to communicate complex technical concepts clearly to business and technical stakeholders.</li><li>
Excellent problem-solving, analytical, leadership, and decision-making skills.</li><li>
Excellent command of English, both written and spoken.</li><li>
Willingness to work onsite in Saudi Arabia.</li></ul>
Nice to Have<ul><li>
Experience in government, healthcare, finance, telecom, or regulated enterprise environments.</li><li>
Experience with GPU-based model training and inference optimization.</li><li>
Experience with computer vision, OCR, document AI, speech AI, or multimodal AI systems.</li><li>
Experience with Azure OpenAI, Oracle AI Services, AWS Bedrock, Google Vertex AI, or similar enterprise AI platforms.</li><li>
Knowledge of AI governance, responsible AI, data privacy, cybersecurity, and compliance frameworks.</li><li>
Experience in presales, technical proposal preparation, and client-facing solution presentations.</li><li>
Arabic language skills are an advantage.</li></ul> 

Benefits 
<ul><li>
Opportunity to lead strategic AI initiatives in Saudi Arabia.</li><li>
Work on advanced AI solutions across Generative AI, machine learning, deep learning, and data science.</li><li>
Leadership role with direct impact on enterprise and government AI transformation projects.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Competitive compensation package.</li><li>
Access to modern AI infrastructure, cloud platforms, and enterprise data environments.</li><li>
Professional growth, leadership development, and continuous learning opportunities.</li></ul></div>

AI Team Lead

Datamatics Global Services Ltd

<div>Position Title : Delivery Manager &ndash; Data, BI &amp; AI 
Experience Required: 6&ndash;8 Years (Should be open to Travel) 
Employment Type :Full-Time - Riyadh - Onsite 
 
Job Overview 
We are looking for an experienced Delivery Manager to lead the successful execution and delivery of Data, Business Intelligence (BI), and AI-driven projects. The ideal candidate will have a strong background in managing cross-functional technical teams, driving client engagement, ensuring project governance, and delivering scalable analytics and AI solutions within timelines and budget. 
The role requires a combination of project delivery expertise, stakeholder management, technical understanding, and operational leadership. 
 
Key Responsibilities<ul><li>
Lead end-to-end delivery of Data Engineering, BI, Analytics, and AI/ML projects.</li><li>
Manage project planning, execution, resource allocation, risk management, and delivery governance.</li><li>
Collaborate with business stakeholders, technical teams, architects, and clients to define project scope and delivery roadmap.</li><li>
Ensure successful implementation of data platforms, dashboards, reporting systems, predictive analytics, and AI solutions.</li><li>
Drive Agile/Scrum ceremonies and ensure timely sprint execution and milestone tracking.</li><li>
Monitor project KPIs, delivery quality, utilization, and customer satisfaction.</li><li>
Manage multiple concurrent projects while maintaining delivery excellence.</li><li>
Coordinate with engineering, QA, DevOps, cloud, and analytics teams for seamless project execution.</li><li>
Identify delivery risks, dependencies, and mitigation strategies proactively.</li><li>
Support pre-sales activities including solution discussions, estimations, project planning, and proposal reviews.</li><li>
Establish best practices for delivery management, documentation, reporting, and communication.</li><li>
Mentor team leads and project teams to improve execution efficiency and performance.</li></ul>
Required Skills &amp; Expertise<ul><li>
Proven experience delivering Data, BI, Analytics, and AI/ML projects.</li><li>
Strong understanding of:<ul><li>
Data Warehousing &amp; ETL</li><li>
Business Intelligence platforms</li><li>
Cloud Data Platforms</li><li>
AI/ML solution lifecycle</li><li>
Reporting &amp; Analytics frameworks</li></ul></li><li>
Experience working with tools/technologies such as:<ul><li>
Power BI, Tableau, Looker, or Qlik</li><li>
SQL &amp; Data Modeling</li><li>
Azure, AWS, or GCP</li><li>
Data Lakes / Data Warehouses</li><li>
AI/ML project coordination</li></ul></li><li>
Strong knowledge of Agile, Scrum, and project management methodologies.</li><li>
Excellent stakeholder management and client communication skills.</li><li>
Experience managing distributed or cross-functional technical teams.</li><li>
Ability to handle delivery escalations, priorities, and deadlines effectively.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Science, or related field.</li><li>
PMP, Scrum Master, or Agile certifications are a plus.</li><li>
Exposure to enterprise-scale analytics or AI transformation projects is highly preferred.</li></ul>
4TcsbdWlbr</div>

Delivery Manager (Data, BI & AI Projects)

Star

<div>Star is a human capability development company headquartered in Riyadh. We design and deliver large-scale training programs, education strategies, government projects, and strategic events for some of Saudi Arabia's most ambitious institutions and organizations. Our work spans government, tourism, hospitality, healthcare, banking, and education.
We are looking for a Senior Project Manager to lead the delivery of complex, multi-stakeholder programs from brief to completion. You will be Star's primary relationship holder with senior government and corporate clients, set the PMO approach for the delivery team, and play a key role in building our project management capability as the company grows.
This is not a coordination role. You will own programs end-to-end managing scope, timelines, stakeholder relationships, subcontractors, and delivery quality simultaneously. You will also mentor junior PMs and shape how Star approaches project delivery as a practice.
What you will be doing:<ul><li>
Leading 2&ndash;3 large programs simultaneously for government and corporate clients</li><li>
Managing senior client relationships at ministry and executive level</li><li>
Building PMO structures, governance frameworks, and reporting systems</li><li>
Coordinating internal teams and external subcontractors toward shared milestones</li><li>
Producing executive-level reports and stakeholder communications</li><li>
Mentoring junior project managers and setting delivery standards</li><li>
Using AI tools to improve planning, reporting, and team productivity</li></ul> 
Requirements 
<ul><li>
5&ndash;9 years of project management experience, preferably on government or corporate programs in Saudi Arabia</li><li>
Demonstrated experience leading programs independently from brief to delivery &mdash; not just participating in them</li><li>
Strong client relationship skills &mdash; comfortable presenting to senior government officials and executives</li><li>
Exceptional communication in Arabic and English, both written and verbal</li><li>
Structured problem-solver &mdash; you define the problem before you solve it</li><li>
Active AI tool user &mdash; you use AI in your daily workflow, not occasionally</li><li>
Hands-on work ethic &mdash; track record of doing the work, not just overseeing it</li><li>
Bachelor's degree in a relevant field; PMP or equivalent is a plus</li></ul> 

Benefits 
<ul><li>
Opportunity to lead some of Saudi Arabia's most significant human capability programs</li><li>
Fast-growing company with real room to move into senior leadership</li><li>
Collaborative, high-performance team</li><li>
Central Riyadh location</li></ul></div>

Senior Project Manager

MOZN

<div>
 
 About MOZN
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Senior SEO, Organic Growth &amp; Website Experience Specialist will own MOZN&rsquo;s organic growth strategy, website performance, technical SEO, content optimization, and AI search visibility. The role is directly accountable for increasing organic traffic, organic-sourced pipeline, website conversion rates, and overall digital presence across MOZN&rsquo;s product portfolio.
 
 
 
 What You'll Do
 
 
 
 
 
 SEO &amp; Organic Growth
 
 
 
 
 <ul>
 <li>
 Develop and execute SEO strategies aligned to pipeline and revenue objectives.
 </li>
 <li>
 Own organic traffic, keyword rankings, search visibility, and organic lead generation.
 </li>
 <li>
 Build SEO roadmaps across products, industries, and target markets.
 </li>
 <li>
 Conduct competitor and search opportunity analysis.
 
 
 </li>
 </ul>
 
 
 Technical SEO
 
 
 
 
 <ul>
 <li>
 Conduct technical audits and implement improvements.
 </li>
 <li>
 Optimize site architecture, crawlability, indexation, Core Web Vitals, page speed, and mobile performance.
 </li>
 <li>
 Manage structured data, schema markup, redirects, XML sitemaps, and canonicalization.
 
 
 </li>
 </ul>
 
 Website Management &amp; Experience
 
 
 
 <ul>
 <li>
 Own overall website health and performance.
 </li>
 <li>
 Partner with developers to implement enhancements and resolve issues.
 </li>
 <li>
 Improve user journeys, navigation, engagement, and conversion paths.
 </li>
 <li>
 Manage landing page optimization and website experimentation.
 
 
 </li>
 </ul>
 
 
 Content &amp; Organic Visibility
 
 
 
 
 <ul>
 <li>
 Partner with content teams to build SEO-driven content strategies.
 </li>
 <li>
 Create topic clusters, content briefs, and keyword frameworks.
 </li>
 <li>
 Optimize blogs, solution pages, product pages, and resource centers.
 </li>
 <li>
 Improve multilingual search performance across English and Arabic content.
 
 
 </li>
 </ul>
 
 
 AI Search Optimization
 
 
 
 
 <ul>
 <li>
 Optimize MOZN's visibility across AI-powered search platforms including ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews.
 </li>
 <li>
 Develop strategies to improve citation frequency, authority, and discoverability within AI-generated responses.
 </li>
 <li>
 Monitor emerging AI search trends and adapt SEO strategies accordingly.
 
 
 </li>
 </ul>
 
 
 Analytics &amp; Reporting
 
 
 
 
 <ul>
 <li>
 Track and report on organic traffic, rankings, backlinks, website engagement, MQLs, opportunities, pipeline, and revenue influence.
 </li>
 <li>
 Deliver monthly performance reports with actionable recommendations.
 
 
 </li>
 </ul>
 
 
 Authority Building
 
 
 
 
 <ul>
 <li>
 Develop backlink acquisition strategies.
 </li>
 <li>
 Drive thought leadership, PR, guest posting, and digital authority initiatives.
 </li>
 <li>
 Webinar and CRM Capabilities
 
 
 </li>
 </ul>
 
 
 Tools &amp; Platforms
 
 
 
 
 <ul>
 <li>
 Google Analytics 4 (GA4)
 </li>
 <li>
 Google Search Console
 </li>
 <li>
 SEMrush
 </li>
 <li>
 Ahrefs
 </li>
 <li>
 Screaming Frog
 </li>
 <li>
 Google Tag Manager
 </li>
 <li>
 Looker Studio
 </li>
 <li>
 HubSpot
 </li>
 <li>
 Microsoft Clarity
 </li>
 <li>
 WordPress / Headless CMS Platforms
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5&ndash;8 years of SEO, organic growth, or website optimization experience.
 </li>
 <li>
 Experience within B2B SaaS, AI, enterprise software, fintech, cybersecurity, or technology sectors.
 </li>
 <li>
 Strong technical SEO expertise.
 </li>
 <li>
 Strong understanding of website UX, CRO, and digital analytics.
 </li>
 <li>
 Experience working with developers, content teams, and demand generation teams.
 </li>
 <li>
 Experience managing multilingual SEO programs
 </li>
 <li>
 Data-driven and commercially minded.
 </li>
 <li>
 Understands the connection between SEO, pipeline, and revenue.
 </li>
 <li>
 Strong technical and analytical capabilities.
 </li>
 <li>
 Comfortable operating independently and influencing stakeholders.
 </li>
 <li>
 Passionate about AI, search innovation, and growth marketing
 </li>
 <li>
 Proficient in English and Arabic
 
 
 </li>
 </ul>
 
 
 Success Metrics
 
 
 
 
 <ul>
 <li>
 Organic Traffic Growth
 </li>
 <li>
 Non-Branded Keyword Rankings
 </li>
 <li>
 Top 3 Keyword Growth
 </li>
 <li>
 Share of Voice vs Competitors
 </li>
 <li>
 Organic MQL Generation
 </li>
 <li>
 Organic Pipeline Contribution
 </li>
 <li>
 Marketing-Sourced Revenue Contribution
 </li>
 <li>
 Website Conversion Rate
 </li>
 <li>
 Bounce Rate Reduction
 </li>
 <li>
 Core Web Vitals Performance
 </li>
 <li>
 Backlink Growth &amp; Domain Authority
 </li>
 <li>
 AI Search Visibility &amp; Citation Growth
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Be part of one of the fastest-growing AI companies in the Middle East during a pivotal moment for the region&rsquo;s digital transformation.
 </li>
 <li>
 Work on cutting-edge AI products with real impact in financial crime prevention and regulatory compliance.
 </li>
 <li>
 Enjoy an ownership-driven culture with autonomy, trust, and significant room for growth.
 </li>
 <li>
 Competitive compensation, premium health insurance, and a supportive, high-performance environment.
 </li>
 <li>
 Collaborate with world-class AI scientists, engineers, and industry experts.
 </li>
 <li>
 An inclusive culture that values diversity, innovation, and empowering people to reach their full potential.
 </li>
 </ul>
</div>

Senior SEO, Organic Growth & Website Experience Specialist

JODAYN

<div>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments. 
Requirements 
AI Platform Engineering<ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul>
Agentic AI Development<ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul>
Large Language Model Integration<ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul>
Enterprise System Integration<ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul>
Proposal &amp; Compliance Automation<ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul>
Infrastructure &amp; Deployment<ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul> 
Required Qualifications
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul>
Experience<ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul>
Required Technical Skills
Programming &amp; Backend Development<ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul>
AI Technologies<ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul>
Frontend &amp; Integration<ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul>
Infrastructure &amp; DevOps<ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul>
Preferred Skills<ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul> 
Core Competencies<ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div>

Senior AI Product Engineer

VaporVM

<div><div><div>Date Posted:</div>
11 June, 2026</div>
<div><div>Industry:</div>
IT Services and IT Consulting</div>
<div><div>Location:</div>
VaporVM</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2>
<div><h1 class="jobSectionHeader">Senior HPC / Infrastructure Engineer</h1>

Location: Riyadh, Saudi Arabia

Employment Type: Full-Time

Experience: 10+ Years (Hands-On)
<h2 class="jobSectionHeader">
Position Overview</h2>

We are seeking a highly experienced Senior HPC / Infrastructure Engineer with proven expertise in designing, deploying, and operating enterprise-scale High-Performance Computing (HPC) and AI infrastructure environments. This role is ideal for a hands-on technical leader who has built and managed production-grade HPC platforms, GPU clusters, Kubernetes ecosystems, and AI infrastructure from the ground up.

The successful candidate will play a critical role in architecting, optimizing, and maintaining mission-critical compute environments that support advanced AI/ML, data science, and high-performance workloads.
<h2 class="jobSectionHeader">
Required Certifications</h2>
<ul><li>RHCE &ndash; Red Hat Certified Engineer (Active)</li>
<li>CKA &ndash; Certified Kubernetes Administrator (Active)</li>
</ul><h2 class="jobSectionHeader">Core Technical Expertise</h2>
<h3 class="jobSectionHeader">HPC &amp; NVIDIA AI Ecosystem</h3>
<ul><li>NVIDIA Base Command Manager (BCM)</li>
<li>NVIDIA AI Enterprise</li>
<li>NVIDIA GPU Operator &amp; Network Operator</li>
<li>NVIDIA NIM Inference Services</li>
<li>NVIDIA AI Blueprints</li>
<li>CUDA, GPU Drivers, and Performance Optimization</li>
</ul><h3 class="jobSectionHeader">Compute &amp; Container Platforms</h3>
<ul><li>Kubernetes (Architecture, Operations &amp; Scaling)</li>
<li>Slurm Workload Manager</li>
<li>Distributed Computing Environments</li>
</ul><h3 class="jobSectionHeader">Operating Systems</h3>
<ul><li>Red Hat Enterprise Linux (RHEL)</li>
<li>Ubuntu LTS (Canonical)</li>
</ul><h3 class="jobSectionHeader">Automation &amp; DevOps</h3>
<ul><li>CI/CD Pipeline Design &amp; Implementation</li>
<li>Infrastructure Automation</li>
<li>Platform Lifecycle Management</li>
<li>Configuration Management &amp; Orchestration</li>
</ul><h2 class="jobSectionHeader">Key Responsibilities</h2>
<ul><li>Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.</li>
<li>Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.</li>
<li>Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.</li>
<li>Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.</li>
<li>Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.</li>
<li>Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.</li>
<li>Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.</li>
<li>Optimize performance across compute, GPU, storage, networking, and cluster resources.</li>
<li>Implement monitoring, observability, alerting, capacity planning, and operational best practices.</li>
<li>Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.</li>
</ul><h2 class="jobSectionHeader">Candidate Profile</h2>
<ul><li>10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.</li>
<li>Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.</li>
<li>Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.</li>
<li>Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.</li>
<li>Experience supporting AI/ML, data science, and high-performance computing workloads at scale.</li>
<li>Strong analytical, troubleshooting, and problem-solving skills.</li>
<li>Ability to work across infrastructure, platform, automation, and AI enablement domains.</li>
<li>Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.</li></ul></div></div>

Senior Infrastructure / HPC

<div>Star is a human capability development company headquartered in Riyadh. We design and deliver large-scale training programs, education strategies, government projects, and strategic events for governments, corporations, and institutions across Saudi Arabia.
We are hiring a Project Manager to lead the Star B2C Programs unit &mdash; a combined commercial operation covering professional certification programs through internationally recognised bodies and a premium facility activation program at one of Riyadh&rsquo;s most prestigious addresses. This is a full ownership role. You manage the unit as a formal project, you lead the team within it, and you are accountable for its commercial and operational performance.
As a project manager, you will:<ul><li>Develop and maintain the project plan, timeline, and milestone schedule across all program tracks</li><li>Manage the project budget and resource allocation</li><li>Build, lead, and manage the project team including project specialists</li><li>Track, measure, and report project performance to senior leadership on a regular basis</li><li>Identify risks, resolve issues, and keep delivery on track</li><li>Coordinate with Star&rsquo;s PMO team to hand over program delivery upon deal close</li><li>Ensure all milestones and deliverables are met on time and within scope</li></ul>
Scope of work for this project:<ul><li>Drive B2B sales with corporate clients across training, certification, and facility-based programs &mdash; this is the primary commercial objective of the role</li><li>Build and maintain a rolling six-month programs calendar covering all tracks under this unit</li><li>Manage strategic relationships with international certification bodies at the partnership level, including scheduled strategic reviews and renewal negotiations</li><li>Oversee B2C certification sales, facility program sales, and inbound inquiry management through the project specialists</li><li>Identify and actively pursue cross-selling opportunities between the certification and facility program tracks</li><li>Own the requirements and acceptance of a unified digital platform being built for this unit</li><li>Manage the training and L&amp;D dimension of the project, including the certification partner ecosystem and program design input</li></ul> 
Requirements<ul><li> 
5&ndash;8 years of project management experience, with exposure to commercial or revenue-generating projects</li><li>Background in training, L&amp;D, or a related domain &mdash; required for credibility with corporate L&amp;D buyers and certification body partners</li><li>Demonstrated B2B sales or business development experience &mdash; you have built and closed corporate relationships</li><li>Strong organisational skills &mdash; able to manage a programs calendar, a team, a budget, and a pipeline simultaneously</li><li>Confident communicator in Arabic and English, written and verbal</li><li>AI-fluent in the serious sense &mdash; you have restructured how you work around AI tools and use them to multiply your output across research, planning, analysis, and execution. Not drafting emails. Real workflow integration.</li><li>Saudi national preferred</li></ul> 
Benefits<ul><li> 
Full ownership of a commercially significant unit with direct impact on revenue</li><li>Company-sponsored professional certifications upon joining</li><li>Work across an exciting mix of corporate training, international certification partnerships, and premium facility programs</li><li>Fast-growing company with direct access to senior leadership</li><li>Central Riyadh location</li></ul></div>

Project Manager - Learning & Development

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