ai systems engineer

Noon - Education for Everyone

<div>
 
 
 About Noon Academy:
 
 
 
 
 
 
 We&rsquo;re on a mission to radically change the way students learn. We
 
 
 started with a simple idea&mdash;access to the best teachers shouldn&rsquo;t be a luxury, and learning should energize, not drain you. We believe in solving hard problems, and we play to win&mdash;we measure progress by revenues, students, and learning gains. Our approach? Build high-performing teams, giving them the freedom to dream big and execute boldly.
 
 
 
 
 
 
 Today, we&rsquo;re building the next generation of schools in Saudi Arabia.
 
 We believe every student deserves world-class teachers. And to make it happen, we&rsquo;re reimagining everything about education: from cutting-edge tech to peer learning and physical spaces that spark curiosity.
 
 The verdict is clear: students don't just tolerate hybrid, they love it.
 
 
 
 
 
 
 We&rsquo;re aiming for an IPO, and the product you&rsquo;ll build is core to getting us there. The scale is real. We expanded to 28 schools in our second year of operations, and we're expanding to 100+ schools around the Kingdom in the near future.
 
 <ul>
 <li>
 Hear about our vision directly from our CEO
 
 
 here
 
 
 .
 </li>
 <li>
 Learn more about us:
 
 here
 
 </li>
 </ul>
 
 
 
 
 
 Why This Role Matters?
 
 
 
 
 Running great schools at scale is an unsolved problem.
 
 Timetables, staffing, student success, operational workflows, quality loops. It's a web of complexity that no off-the-shelf software can handle. So we're building our own.
 
 
 We call it the
 
 Ops OS
 
 &mdash; an intelligent, event-driven system that makes schools work and scale. Think of it as the nervous system of a school network: routing the right information to the right person at the right time. We're looking for
 
 AI Systems Engineers
 
 who want to build things that matter
 
 
 
 
 
 
 Role Summary
 
 
 
 This isn't a typical AI/ML role. You won't be training models in isolation or writing research papers. You'll be embedded in the real world. Talking to students, school staff and internal leaders. You&rsquo;ll be understanding messy operational problems, and shipping working systems that people rely on every single day.
 
 
 You'll use AI as a power tool alongside strong product engineering skills to build internal apps, data pipelines, dashboards, and intelligent workflows.
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 
 Investigate real problems
 
 &mdash; sit with ops teams and school leads to deeply understand what's broken before writing a line of code.
 </li>
 <li>
 
 Build fast
 
 &mdash; go from messy problem &rarr; spec &rarr; working prototype in days, not months. We use Claude Code, Cursor, Replit, and every AI tool that makes us faster.
 </li>
 <li>
 
 Ship products, not scripts
 
 &mdash; build real, production-quality tools with great UX (React/TypeScript, Supabase, APIs). Our users are internal Nooners, students, teachers, and school staff. Each user deserves thoughtful designs!
 </li>
 <li>
 
 Design systems that compound
 
 &mdash; think in loops, not features. Data &rarr; insight &rarr; action &rarr; feedback &rarr; better data.
 </li>
 <li>
 
 Own your domain end-to-end
 
 &mdash; from problem discovery to adoption. If nobody uses it, we haven't succeeded.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 You think before you build. You can explain a problem to a non-technical person in 30 seconds.
 </li>
 <li>
 You're fast. Ruthlessly good at scoping: 80% of the impact with 20% of the effort.
 </li>
 <li>
 You're strong in
 
 data &amp; SQL
 
 ,
 
 AI/LLMs
 
 , and
 
 product engineering.
 
 </li>
 <li>
 You&rsquo;re eager to learn and adopt new tools and ways of working.
 </li>
 <li>
 You build things that work, not things that look impressive on a slide.
 </li>
 <li>
 You communicate clearly &mdash; in writing, in demos, in Slack. No jargon.
 </li>
 <li>
 You don't wait to be told. You find the problem, propose the solution, and drive it.
 </li>
 <li>
 Fluent in Arabic and English
 </li>
 <li>
 Based in Riyadh (or able to relocate by an agreed date)
 </li>
 </ul>
 
 
 
 
 
 Bonus Points
 
 
 <ul>
 <li>
 Experience with event-driven architectures or operational systems.
 </li>
 <li>
 You've built internal tools or ops platforms before.
 </li>
 <li>
 You've used AI coding tools (Cursor, Copilot, Claude) to move 5x faster and ship real products.
 </li>
 </ul>
 
 
 
 
 
 Why Noon?
 
 
 <ul>
 <li>
 
 Real impact
 
 &mdash; your work directly affects how thousands of students learn every day.
 </li>
 <li>
 
 Speed and autonomy
 
 &mdash; small team, big problems, zero bureaucracy.
 </li>
 <li>
 
 AI-native culture
 
 &mdash; we don't just talk about AI, we build with it daily.
 </li>
 <li>
 
 Well-funded
 
 &mdash; Series B closed, substantial recurring revenue, and accelerating.
 </li>
 <li>
 
 Mission that matters
 
 &mdash; every student deserves world-class teachers. We're making it happen.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 
 In addition to a competitive base salary, we offer:
 
 <ul>
 <li>
 Employee Stock Ownership Plan (ESOP)
 </li>
 <li>
 Performance-based bonus
 </li>
 <li>
 21 days of annual leave
 </li>
 <li>
 Full premium Medical coverage, including Family Dependent
 </li>
 </ul>
 
 
 
 
 If you're a builder who wants to solve hard problems in education and create something students talk about for years to come, we would love to talk to you.
 
</div>

AI Systems Engineer

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

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)

Noventiq GCC

<div>
 
 Job Description
 
 
 
 Noventiq is expanding its team &amp; is on the lookout for goal-oriented, self-driven &amp; motivated individuals, to support the next phase of company&rsquo;s growth strategy.
 
 
 Industry: IT/Cloud Services
 
 
 Location: Riyadh, KSA
 
 
 Job Title &ndash; Senior Solutions Architect
 
 
 
 Role Overview
 
 
 
 We are looking for a
 
 Senior Solutions Architect &ndash; Data &amp; AI
 
 who can independently lead customer engagements, shape complex solutions, and drive strategic conversations across business and technology stakeholders.
 
 
 This role requires a
 
 self-driven, client-facing architect
 
 who is comfortable owning the entire solution lifecycle&mdash;from discovery to proposal&mdash;while specializing in
 
 modern data platforms, analytics, and AI/ML solutions on Azure
 
 .
 
 
 
 Fluency in Arabic is mandatory
 
 , as the role will involve direct engagement with Middle East customers.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Client Engagement &amp; Solution Ownership
 </li>
 <li>
 Act as the primary solutions architect in customer discussions&mdash;owning conversations end-to-end without dependency.
 </li>
 <li>
 Lead CXO-level and technical workshops, translating business challenges into scalable Data &amp; AI solutions.
 </li>
 <li>
 Independently drive solution discovery, architecture definition, and proposal creation.
 </li>
 <li>
 Build trusted advisor relationships with customer stakeholders, especially within Arabic-speaking regions.
 </li>
 <li>
 Data, AI &amp; Application Architecture
 </li>
 <li>
 Design and architect end-to-end enterprise solutions, including:
 </li>
 <ul>
 <li>
 Modern Data Platforms (Data Warehouses, Lakehouse, real-time analytics)
 </li>
 <li>
 AI/ML solutions (predictive analytics, NLP, GenAI, copilots)
 </li>
 <li>
 Application architectures (microservices, APIs, event-driven systems)
 </li>
 </ul>
 <li>
 Integrate data platforms with enterprise applications (CRM, ERP, custom apps).
 </li>
 <li>
 Define data strategies, API strategies, and application integration models.
 </li>
 <li>
 Ensure solutions are scalable, secure, high-performing, and cost-optimize
 </li>
 <li>
 Pre-Sales Leadership
 </li>
 <li>
 Lead the technical component of bids, proposals, and RFP responses.
 </li>
 <li>
 Develop high-quality solution artifacts:
 </li>
 <ul>
 <li>
 Architecture diagrams
 </li>
 <li>
 Cost models &amp; TCO optimization
 </li>
 <li>
 Implementation roadmaps
 </li>
 <li>
 Value propositions aligned to business outcomes
 </li>
 </ul>
 <li>
 Participate in solution demos, PoCs, and design validations.
 </li>
 <li>
 Business &amp; Strategic Alignment
 </li>
 <li>
 Translate customer business goals into measurable data and AI outcomes.
 </li>
 <li>
 Identify opportunities for:
 </li>
 <ul>
 <li>
 Data modernization
 </li>
 <li>
 AI adoption and innovation
 </li>
 <li>
 Upsell/cross-sell within existing accounts
 </li>
 </ul>
 <li>
 Balance technical excellence with commercial viability.
 </li>
 <li>
 Collaboration &amp; Delivery Alignment
 </li>
 <li>
 Work closely with sales, delivery, and engineering teams for seamless transition from presales to execution.
 </li>
 <li>
 Provide architectural oversight during initial delivery phases where needed.
 </li>
 <li>
 Mentor junior architects and engineers on Data &amp; AI, and application architecture
 
 </li>
 </ul>
 
 Required Skills &amp; Expertise
 
 
 
 
 Technical &ndash; Data &amp; AI
 
 
 
 <ul>
 <li>
 Strong expertise in Azure Data &amp; AI ecosystem, including:
 </li>
 <ul>
 <li>
 Azure Data Factory / Synapse / Microsoft Fabric
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure Machine Learning &amp; AI Services (incl. OpenAI)
 </li>
 </ul>
 <li>
 Deep understanding of:
 </li>
 <ul>
 <li>
 Data architecture patterns (Lakehouse, data mesh, etc.)
 </li>
 <li>
 Data governance, security, and compliance
 </li>
 <li>
 AI/ML lifecycle and MLOps
 </li>
 </ul>
 <li>
 Experience in Azure-native and hybrid architectures.
 
 </li>
 </ul>
 
 Technical &ndash; Application &amp; Integration
 
 
 
 <ul>
 <li>
 Strong experience in application architecture, including:
 </li>
 <ul>
 <li>
 Microservices and distributed systems architecture
 </li>
 <li>
 API design and management (REST, GraphQL, API gateways)
 </li>
 <li>
 Event-driven architectures (Kafka, messaging systems)
 </li>
 </ul>
 <li>
 Experience with application modernization:
 </li>
 <ul>
 <li>
 Monolith to microservices transformation
 </li>
 <li>
 Containerization and orchestration (Docker, Kubernetes)
 </li>
 </ul>
 <li>
 Familiarity with integration patterns:
 </li>
 <ul>
 <li>
 Data + application integration (ETL + APIs)
 </li>
 <li>
 Middleware and enterprise integration platforms
 </li>
 </ul>
 <li>
 Understanding of frontend/backend separation and digital application stacks
 
 </li>
 </ul>
 
 Professional
 
 
 
 <ul>
 <li>
 Proven track record of independently handling pre-sales engagements and closing complex deals.
 </li>
 <li>
 Strong ability to articulate business value, not just technical solutions.
 </li>
 <li>
 Experience working with Middle East clients is highly preferred.
 
 
 </li>
 </ul>
 
 Language
 
 
 
 <ul>
 <li>
 Fluency in Arabic (spoken and written) &ndash; mandatory
 </li>
 <li>
 Strong English communication skills
 
 
 </li>
 </ul>
 
 Experience &amp; Qualifications
 
 
 
 <ul>
 <li>
 8+ years of experience in technology consulting / architecture
 </li>
 <li>
 4+ years in Data &amp; AI solutions architecture
 </li>
 <li>
 Strong pre-sales or consulting background with customer-facing roles
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or related field
 
 
 </li>
 </ul>
 
 Certifications (preferred But Not Required)
 
 
 
 <ul>
 <li>
 Microsoft Certified: Azure Solutions Architect Expert
 </li>
 <li>
 Microsoft Certified: Azure Data Engineer Associate
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 <li>
 Microsoft Certified: Designing Azure Solutions
 
 
 </li>
 </ul>
 
 Key Traits for Success
 
 
 
 <ul>
 <li>
 Self-starter with the ability to operate independently in high-stakes environments
 </li>
 <li>
 Strong storytelling and executive communication skills
 </li>
 <li>
 Commercially aware with a solution-selling mindset
 </li>
 <li>
 Passion for Data, AI, and emerging technologies
 
 
 
 
 </li>
 </ul>
 Location: Riyadh - NQKSA, Riyadh, Riyadh, Saudi Arabia
</div>

Senior Solutions Architect - Data & AI

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'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'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'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
 
 
 </li>
 </ul>
 
 Workflow Automation
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Lead Generation &amp; Outbound Operations
 
 
 
 <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
 
 
 </li>
 </ul>
 
 AI Implementation &amp; Personalization
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Analytics, Reporting &amp; Experimentation
 
 
 
 <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

<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>

Sulava MEA

<div>
 We are looking for a
 
 Deployment Engineer &amp; Architect
 
 to lead the design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for our Customers.
 
 
 This role is a combination of
 
 hands-on engineering and architecture leadership
 
 , focusing on building scalable, secure, and high-impact AI solutions. You will play a key role in our
 
 Agent Factory (FFL)
 
 model&mdash;delivering production-ready AI agents that transform business processes.
 
 
 
 
 What You Will Do
 
 
 
 
 <ul>
 <li>
 Design and implement end-to-end AI agent architectures across Microsoft 365 and Azure
 </li>
 <li>
 Build and deploy agents using Copilot Studio and integrate with enterprise systems
 </li>
 <li>
 Develop custom plugins, connectors, and workflows to extend agent capabilities
 </li>
 <li>
 Lead technical design for Agent Factory (FFL) delivery and scaling models
 </li>
 <li>
 Work with customer teams to translate business use cases into technical solutions
 </li>
 <li>
 Implement RAG pipelines, integrations, and data orchestration for agent intelligence
 </li>
 <li>
 Set up and optimize Azure AI environments, landing zones, and deployment pipelines
 </li>
 <li>
 Ensure security, governance, and compliance in all solutions
 </li>
 <li>
 Collaborate with AI Transformation Advisors to deliver end-to-end customer impact
 </li>
 <li>
 Support testing, optimization, and continuous improvement of agent solutions
 
 
 </li>
 </ul>
 
 
 What You Bring
 
 
 
 
 
 
 Core Engineering &amp; Architecture Skills
 
 
 
 
 <ul>
 <li>
 Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
 </li>
 <li>
 Experience designing scalable cloud-native architectures
 </li>
 <li>
 Ability to lead technical design and architecture decisions
 
 
 </li>
 </ul>
 
 
 AI &amp; Agent Development
 
 
 
 
 <ul>
 <li>
 Hands-on experience with Copilot Studio and agent development
 </li>
 <li>
 Experience building AI solutions using Azure AI / Azure AI Foundry
 </li>
 <li>
 Understanding of multi-agent patterns, orchestration, and automation
 </li>
 <li>
 Experience integrating APIs, data sources, and enterprise systems
 
 
 </li>
 </ul>
 👉 Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value [
 
 
 
 
 Data &amp; Integration
 
 
 
 
 <ul>
 <li>
 Experience with RAG (Retrieval-Augmented Generation) architectures
 </li>
 <li>
 Knowledge of Azure AI Search, data pipelines, and indexing approaches
 </li>
 <li>
 Experience integrating with Microsoft Graph, SharePoint, and enterprise data sources
 
 
 </li>
 </ul>
 
 
 Security &amp; Governance
 
 
 
 
 <ul>
 <li>
 Understanding of enterprise security, identity (Entra ID), and data protection
 </li>
 <li>
 Experience implementing AI governance, compliance, and data security controls
 
 
 </li>
 </ul>
 👉 AI solutions are expected to include governance, identity, and security layers alongside agent orchestration and data acces
 
 
 
 
 What Makes You Successful
 
 
 
 
 <ul>
 <li>
 You can move from architecture to hands-on delivery seamlessly
 </li>
 <li>
 You build solutions that are production-ready, secure, and scalable
 </li>
 <li>
 You understand both technical design and real business impact
 </li>
 <li>
 You are comfortable working in fast-evolving AI environments
 </li>
 <li>
 You take ownership and drive technical outcomes end-to-end
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with Power Platform (Power Automate, Dataverse)
 </li>
 <li>
 Familiarity with Copilot extensibility and plugin models
 </li>
 <li>
 Experience with DevOps / CI-CD pipelines for AI solutions
 </li>
 <li>
 Knowledge of KSA regulatory and data residency requirements
 </li>
 <li>
 Arabic language skills
 </li>
 </ul>
</div>

Deployment Engineer & Architect

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