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[ksa] data & ai – senior consultant / associate manager Jobs in Riyadh

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ai automation (llms, rag) engineer

ai engineer, sr

big data engineer

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 A Data Engineer is expected to develop, monitor, and optimize data quality rules and processes to ensure reliable and accurate enterprise data.
 
 
 They identify and resolve data anomalies through profiling, cleansing, and validation workflows.
 
 
 The role ensures that business decisions are driven by complete, consistent, and high-integrity data across systems.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
 </li>
 <li>
 Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
 </li>
 <li>
 Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
 </li>
 <li>
 Develop automated data quality checks and workflows for continuous monitoring and remediation.
 </li>
 <li>
 Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
 </li>
 <li>
 Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
 </li>
 <li>
 Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
 </li>
 <li>
 Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
 </li>
 <li>
 Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
 </li>
 <li>
 Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
 </li>
 <li>
 Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
 </li>
 <li>
 Conduct root cause analysis and lead remediation programs for chronic data issues.
 </li>
 <li>
 Mentor junior engineers and promote data quality best practices across teams.
 </li>
 <li>
 Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
 </li>
 <li>
 Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
 </li>
 <li>
 Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
 </li>
 <li>
 Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Management, or related discipline.
 </li>
 <li>
 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
 </li>
 <li>
 Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
 </li>
 <li>
 Strong expertise in data profiling, rule design, standardization, and exception management.
 </li>
 <li>
 Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
 </li>
 <li>
 Deep understanding of data governance frameworks and collaboration with data stewards.
 </li>
 <li>
 Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
 </li>
 <li>
 Strong communication skills for presenting findings and recommendations to business stakeholders.
 </li>
 <li>
 Experience mentoring junior engineers or managing small DQ workstreams.
 </li>
 <li>
 CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
 </li>
 <li>
 Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
 </li>
 <li>
 Understanding of data lineage, root cause analysis, and impact assessment.
 </li>
 <li>
 Knowledge of metadata management and integration with data catalogs.
 </li>
 <li>
 Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
 </li>
 <li>
 Ability to automate DQ workflows through orchestration or CI/CD pipelines.
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 Business Unit: Data &amp; Intelligence
 
 
 
 
 Level: Mid - Senior Level
 
</div>

Data Engineer

Ninja 🥷🏽 نينجا

<div>
 
 About the Role:
 
 
 
 We are looking for an AI Product Owner to lead our new AI agent products. You will sit between business and tech teams. You will turn big ideas into working, autonomous AI tools.
 
 
 You must have a strong technical background. You should know how to build with Python. You also need to understand how AI agents think, use tools, and solve multi-step problems.
 
 
 
 Responsibilties:
 
 
 
 <ul>
 <li>
 Setting the Product Vision: Create the roadmap for our AI agents and automated workflows
 </li>
 <li>
 Talking Tech with Engineers: Use your Python and AI knowledge to help developers make choices about cost, speed, and accuracy
 </li>
 <li>
 Writing Technical Stories: Turn business needs into clear tasks, user stories, and code requirements for agile sprints
 </li>
 <li>
 Keeping Agents Safe: Build tests and guardrails to make sure our AI systems are accurate, safe, and helpful
 </li>
 <li>
 Tracking Success: Look at user feedback and data to find ways to make our AI agents smarter and faster
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 to be able to work onsite in our Riyadh office
 </li>
 <li>
 Python Skills: Real experience writing or reading Python code
 </li>
 <li>
 Agentic Tech Knowledge: Experience using AI tools like LangGraph, CrewAI, AutoGen, or RAG systems
 </li>
 <li>
 Product Experience: Experience at managing tech products or working as a lead software engineer
 </li>
 <li>
 Clear Communication: The ability to explain complex AI models to business teams in simple terms
 </li>
 <li>
 Problem-Solving Mindset: Comfort with the experimental and fast-changing world of Generative AI
 </li>
 </ul>
</div>

AI Product Owner (Agentic Systems & Python)

VaporVM

<div><div>Date Posted: 11 June, 2026
</div><div>Industry: IT Services and IT Consulting
</div><div>Location: 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

Qiddiya | القدية

<div>
 The Senior Manager - FP&amp;A (Development) will support the financial oversight and performance management of Qiddiya's development portfolio. This role will focus on financial monitoring of development projects, variance analysis, risk tracking, management reporting, and ensuring alignment between project controls and accounting systems.
 
 
 The role will play a key part in preparing high-quality management reports, budget submissions, variance analyses, and project financial reviews, while providing actionable insights to senior finance leadership. The Senior Manager will work closely with cross-functional teams to ensure financial discipline, data integrity, and continuous process improvement across development projects.
 
 
 <ul>
 <li>
 Support financial oversight of capital development projects, ensuring alignment with approved budgets, schedules, and scope.
 </li>
 <li>
 Prepare and consolidate management packs, executive summaries, and budget submissions for review by the Senior Director.
 </li>
 <li>
 Analyze financial performance, identify key variances, and provide structured insights with recommended actions.
 </li>
 <li>
 Manage monthly reconciliation between project systems and accounting systems, ensuring data accuracy and timely issue resolution.
 </li>
 <li>
 Review project schedule updates (Primavera P6) and assess financial impact of risks, delays, and scope changes.
 </li>
 <li>
 Develop and maintain financial models and scenario analyses to support forecasting and planning.
 </li>
 <li>
 Standardize reporting templates, KPIs, dashboards, and action trackers across development projects
 </li>
 <li>
 Collaborate with Accounting, Treasury, Project Controls, and other FP&amp;A teams to ensure process alignment and data consistency.
 </li>
 <li>
 Contribute to automation and reporting enhancement initiatives within the Development FP&amp;A function.
 </li>
 <li>
 Support internal governance processes related to budget control, forecasting discipline, and financial transparency.
 </li>
 <li>
 Provide guidance and coaching to analysts within the team, promoting accuracy, accountability, and continuous improvement
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 10+ years of total experience in Finance
 </li>
 <li>
 Experience in Financial Planning and Analysis (FP&amp;A) within a real estate development environment
 </li>
 <li>
 Experience in development, construction, infrastructure, real estate, or large capital project environments is strongly preferred.
 </li>
 <li>
 Experience working within large, complex organizations is required.
 </li>
 <li>
 Big 4 or Tier 1 consulting background is advantageous
 </li>
 </ul>
</div>

Senior Manager - Development Financial Planning and Analysis (CORS 249)

FlyAkeed

<div>About FlyAkeed:
FlyAkeed is a leading online platform dedicated to simplifying the travel booking process for flights and hotels. Established in 2017 and headquartered in Riyadh, Saudi Arabia, we are committed to delivering an exceptional travel experience for our clients.
Highlights:
Current funding stage: Series A
Supported by: PIF subsidiary Sanabil Investments, Elm, Artal Capital, Alrajhi Partners. 
 
Role Definition
A Go-To-Market (GTM) Engineer is a hybrid technical and revenue-focused role that bridges Sales, Marketing, Growth, Revenue Operations, and Engineering. The role is responsible for designing, building, integrating, and automating the technical infrastructure that powers the buyer journey, from lead generation and data enrichment to AI-powered personalization, lead routing, pipeline management, and performance reporting. 
The GTM Engineer translates business requirements and growth strategies into scalable technical workflows that reduce manual work, improve data quality, accelerate sales execution, and drive repeatable revenue growth. 
Role Overview
We are looking for a highly technical and business-minded GTM Engineer to join FlyAkeed&rsquo;s Growth team in Riyadh. This role sits at the intersection of revenue strategy, data, automation, and systems architecture. You will be responsible for building and optimizing the technical engine behind FlyAkeed&rsquo;s go-to-market operations, including CRM workflows, enrichment systems, outbound campaigns, AI-driven personalization, lead scoring, reporting dashboards, and integrations across the sales and marketing tech stack. 
 
The ideal candidate is comfortable working with both commercial teams and technical tools. You should be able to understand sales and marketing needs, convert them into automated workflows, and continuously improve the systems that help FlyAkeed scale its revenue engine across Saudi Arabia and the GCC. 
Key Responsibilities:
GTM Systems &amp; Architecture<ul><li>
Design, build, integrate, and maintain FlyAkeed&rsquo;s GTM tech stack across CRM, marketing automation, outbound, enrichment, analytics, and sales productivity tools.</li><li>
Ensure seamless data flow between systems such as HubSpot, Clay, n8n, Make, Smartlead, Lemlist, analytics tools, and other revenue platforms.</li><li>
Translate business requirements from Sales, Marketing, Growth, and RevOps teams into scalable technical workflows.</li><li>
dentify system gaps, workflow inefficiencies, and manual processes that can be automated or improved. 
 
Workflow Automation</li></ul><ul><li>
Build and deploy automated workflows for lead capture, enrichment, scoring, qualification, routing, follow-up, and lifecycle management.</li><li>
Create automation logic to assign high-priority leads or accounts to the right sales team members in a timely and accurate manner.</li><li>
Automate repetitive sales and marketing operations to improve team productivity and execution speed.</li><li>
Maintain documentation of GTM workflows, system logic, and automation rules.
 
 
Lead Generation &amp; Outbound Operations</li></ul><ul><li>
Build and manage prospecting systems using tools such as Clay, LinkedIn Sales Navigator, enrichment platforms, and outbound sequencing tools.</li><li>
Support outbound campaign execution, including list building, segmentation, personalization workflows, sequencing, and performance tracking.</li><li>
Improve account prioritization, lead qualification, and campaign targeting based on data and market signals.</li><li>
Collaborate with Sales and Marketing teams to improve lead quality and conversion rates 
 
AI Implementation &amp; Personalization</li></ul><ul><li>
Design and implement AI-powered workflows to support account research, lead qualification, personalized outreach, sales enablement, and next-best-action recommendations.</li><li>
Configure AI and LLM-based tools to generate relevant company insights, prospect summaries, personalized messaging, and campaign support.</li><li>
Continuously test AI use cases that improve GTM efficiency, personalization, and sales productivity.</li></ul>
Data Management &amp; CRM Operations<ul><li>
Own CRM data hygiene, segmentation, deduplication, enrichment, validation rules, and lifecycle stage management.</li><li>
Ensure clean and reliable data across GTM systems to support accurate reporting and decision-making.</li><li>
Manage lead source tracking, UTM tracking, form capture, field mapping, and campaign attribution.</li><li>
Support data governance and improve consistency across sales and marketing operations.
 
 
Analytics, Reporting &amp; Experimentation</li></ul><ul><li>
Build dashboards and reports to track pipeline health, campaign performance, funnel conversion, lead quality, sales productivity, and revenue impact.</li><li>
Monitor GTM performance and identify opportunities to improve conversion rates across the buyer journey.</li><li>
Run experiments across outbound, lead scoring, personalization, routing, and campaign workflows.</li><li>
Provide insights and recommendations to support better GTM decision-making.</li></ul> 

Benefits 
<ul><li>
Minimum 3 years of hands-on experience in GTM Engineering, Revenue Operations, Marketing Operations, Sales Operations, Growth Operations, or a similar technical growth role.</li><li>
Strong experience with CRM platforms, preferably HubSpot.</li><li>
Hands-on experience with automation tools such as Clay, n8n, Make, Zapier, or similar platforms.</li><li>
Familiarity with outbound, enrichment, and prospecting tools such as Clay, Smartlead, Lemlist, or similar.</li><li>
Strong understanding of B2B sales funnels, lead generation, pipeline management, sales processes, and campaign operations.</li><li>
Ability to build workflows, manage data structures, clean datasets, and design segmentation logic.</li><li>
Strong data literacy with the ability to analyze funnel performance, campaign results, and pipeline metrics.</li><li>
Comfortable using AI tools and LLMs for research, personalization, automation, and productivity.</li><li>
Strong problem-solving skills with the ability to convert business needs into scalable technical systems.</li><li>
Good communication skills and ability to work cross-functionally with Sales, Marketing,Growth, RevOps, and Product teams.</li><li>
Based in or willing to relocate to Riyadh, Saudi Arabia.</li></ul></div>

GTM Engineer

Nameless Ventures

<div>
 
 Looks like your next bAIg move!
 
 
 
 
 
 Get it? AI, Big, BAIg? Ok i'll stop now.
 
 
 
 
 
 We&rsquo;ve partnered with a stealth-mode AI delivery company operating at the heart of some of the most strategic initiatives in Saudi Arabia. They work directly with major enterprises and government-backed entities, embedding engineers on-site to build and deploy real AI systems in production - not just talk about them.
 
 
 
 
 
 They are now looking for Forward Deployed Engineers (FDEs) to join their founding team in KSA!
 
 
 
 
 
 🚀
 
 The Role:
 
 
 
 You&rsquo;ll be embedded directly within client environments, working side-by-side with stakeholders to identify real business problems and build AI-driven solutions from scratch.
 
 
 We&rsquo;re talking:
 
 
 &rarr; LLMs, RAG pipelines, agent-based systems
 
 
 &rarr; Integrations with enterprise platforms (SAP, Oracle, etc.)
 
 
 &rarr; Full ownership from problem &rarr; architecture &rarr; build &rarr; deployment
 
 
 
 
 
 In simple terms: You build it. You ship it. You own it.
 
 
 
 
 
 
 ✅ What You&rsquo;ll Already Have:
 
 
 
 -4+ years of experience in backend / data / software engineering
 
 
 -Python wizard
 
 
 -Exposure to AI / LLMs / data pipelines (RAG, agents, etc.)
 
 
 -Strong communication skills - able to work directly with clients
 
 
 -Comfortable working on-site and traveling across the region
 
 
 -Arabic fluency is the cherry on top
 
 
 
 
 
 
 🎁 Package &amp; Benefits:
 
 
 
 -Competitive Salary!
 
 
 -Housing, transport, and schooling support (Nice, eh?)
 
 
 -High-impact work across some of the region&rsquo;s most important organisations
 
 
 -Opportunity to be part of a founding AI engineering team in KSA
 
 
 
 
 
 Hit that apply button or drop me a message and we&rsquo;ll take it from there 👀
 
</div>

Forward Deployed Engineer

COGNNA

<div>As a Threat Detection COOP at COGNNA, you&rsquo;ll design high-impact detection strategies, build powerful automation, and elevate SOC operations to a world-class standard. You&rsquo;ll also mentor rising cyber talent and collaborate with teams across threat intel, incident response, and platform engineering. 
 
Advanced Threat Detection Engineering<ul><li>
Build high-fidelity correlation rules and behavioral detections within the COGNNA security platforms.</li><li>
Translate adversary TTPs (MITRE ATT&amp;CK), threat intel, and vulnerability data into actionable logic.</li><li>
Identify detection gaps and introduce new data sources to cover evolving threat landscapes.</li><li>
Automate detection testing and maintain detection quality over time.</li></ul><ul><li>️ Platform Engineering &amp; Optimization</li></ul><ul><li>
Lead architecture and optimization of XDR, SIEM, and SOC tech stacks for scale and resilience.</li><li>
Streamline log ingestion pipelines &mdash; from parsing to normalization and enrichment.</li><li>
Build scripts and automations (Python, PowerShell) to enhance SOC efficiency.</li>
Integrate tools across the SOC stack to enable seamless workflows and response. 
<li>
</li></ul>️&zwj;️ Threat Hunting &amp; Incident Response<ul><li>
Collaborate with intel and IR teams to enrich detection use cases and support threat hunts.</li><li>
Provide Tier-3+ support for incident investigations and post-mortem analysis.</li></ul>
Mentorship &amp; SOC Maturity<ul><li>
Improve SOC playbooks, SOPs, and detection engineering workflows.</li><li>
Stay updated on global and regional threats &mdash; and evolve detection accordingly.</li><li>
Ensure compliance alignment (e.g., NCA ECC, SAMA CSF).</li></ul> 

Requirements 
Minimum Requirements (Must Haves):<ul><li>
Education: Currently enrolled in their final year of a Bachelor&rsquo;s degree in Computer Science, Cybersecurity, Information Technology, or a closely related field, with graduation planned within or immediately following the 6-month co-op.</li><li>
Foundational Security Knowledge: Basic understanding of cybersecurity concepts, including common attack vectors, the Windows/Linux operating system internals, and network protocols.</li><li>
Programming/Scripting Basics: Familiarity with writing simple scripts in Python or PowerShell to automate repetitive tasks or parse data.</li><li>
Log &amp; System Familiarity: Basic understanding of what logs are (e.g., Windows Event Logs, Syslog) and an interest in how they are collected and analyzed.</li><li>
Duration: Availability to commit to a full-time (or near full-time, depending on university rules) 6-month continuous Co-op assignment.</li></ul>
Preferred Qualifications (Nice to Haves / Big Plusses):<ul><li>
Framework Familiarity: Conceptual knowledge of the MITRE ATT&amp;CK framework and how it maps to adversary behaviors.</li><li>
Hands-on Exposure: Previous experience using SIEM/XDR platforms, or building a home lab (e.g., Splunk, Elastic, Wireshark).</li><li>
Regulatory Awareness: A general awareness of cybersecurity frameworks or local compliance standards (like NCA ECC or SAMA CSF).</li><li>
Soft Skills: Strong analytical mindset, a high level of curiosity to dig into threat trends, and excellent written documentation skills.</li></ul> 

Benefits 
Impact that Matters &ndash; Build products that shape the future of cybersecurity and protect organizations globally.
On-Site Collaboration &ndash; Be at the heart of innovation in our Riyadh office, working side by side with passionate experts.
Continuous Growth &ndash; Access to certifications, trainings, and opportunities to sharpen your expertise.
Culture of Trust &ndash; We empower talent, encourage ownership, and celebrate real outcomes.</div>

Threat Detection - COOP

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