building engineer

Surbana Jurong Private Limited

<div><ul><li>A global multidisciplinary consultancy with 16,500+ professionals across 40+ countries</li><li>
Delivering world-class infrastructure, buildings, and environmental solutions</li><li>
Be a part of shaping our business and driving innovation initiatives</li></ul>
About SJ: 
Surbana Jurong Group (SJ) is a global urban, infrastructure, and engineering consulting firm with a strong presence across the Middle East, Asia, and Africa. We deliver integrated solutions across transport, ports, marine, energy, and large-scale infrastructure developments.
About the Role: 
Supervise the construction of buildings and support facilities within the port development.
Key Responsibilities:<ul><li>
Monitor structural and architectural works</li><li>
Ensure compliance with specifications and standards</li><li>
Coordinate contractor activities</li></ul>
Requirements:<ul><li>
12-15+ years of experience</li><li>
Building construction supervision experience</li></ul>
Why Join SJ Group? 
Join a global, multidisciplinary consultancy shaping sustainable, people-centric environments across 40+ countries. Work with world-class teams and contribute to impactful infrastructure and urban development projects across the region while embracing digital innovation and AI-driven delivery.
All recruitment activities go through our internal Talent Acquisition Team, and currently, this role doesn&rsquo;t require agency input.
Please do not forward resumes directly to SJ employees/managers; we do not accept unsolicited resumes and are not responsible for any associated fees.
Only shortlisted candidates will be notified
At Surbana Jurong, we put talent, hard work, teamwork and a fun workplace together to approach problems and solve them creatively and collaboratively. Join us in making a positive impact on the world!</div>

Buildings Engineer (CSA)

Hudson Manpower

<div>We have an urgent opening with one of our prestigious clients in Saudi Arabia for the following position:<h3 class="jobSectionHeader">
Position: Senior Civil / Construction Engineer</h3>
Project:Residential &amp; High-Rise Buildings 
Location: Saudi Arabia
Salary: SAR 10,000 &ndash; 12,000 Basic + Food, Accommodation &amp; Transportation (FAT)<h3 class="jobSectionHeader">
Job Requirements:</h3><ul><li>
Bachelor's Degree in Civil Engineering.</li><li>
Minimum 10+ years of experience in Civil/Construction.</li><li>
Minimum 8&ndash;10 years of experience in Residential and High-Rise Building Projects.</li><li>
At least 3+ years of experience as a Senior Engineer, Lead Engineer, or Project Lead.</li><li>
Strong experience in construction execution, project coordination, and site management.</li></ul><div>
Nationality: As per the client's approved visa allocation and project requirements.</div>
If you are interested in this opportunity, kindly reply with the following details:
We look forward to hearing from you. 
Strong business development experience with ARAMCO and SABIC.</div>

Senior Civil/Construction Engineer | Saudi Arabia

JAWRAA

<div>
 
 Jawraa is a leading digital transformation partner committed to empowering businesses in Saudi Arabia. With over two decades of experience, we've helped organizations navigate the evolving digital landscape and achieve their goals. Our deep industry expertise and strategic partnerships with top-tier technology providers set us apart.
 
 
 
 
 
 
 About the job :
 
 
 
 We are looking for a Senior Cloud Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing engineering team. In this role, you will be responsible for designing, building, and maintaining scalable, secure, and highly available cloud infrastructure that powers our core products and services. You will partner with software engineers, data teams, and security to lead cloud-native transformation initiatives and champion best practices across the organization.
 
 
 
 
 
 
 Key Responsibilities :
 
 
 
 
 Infrastructure Architecture &amp; Design
 
 
 
 &bull; Architect and implement highly available, fault-tolerant, and scalable cloud solutions on GCP
 
 
 &bull; Lead the design of GCP-native infrastructure using services such as GKE, Cloud Run, Compute Engine, Cloud SQL, BigQuery, Pub/Sub, and Cloud Storage
 
 
 &bull; Define infrastructure standards, patterns, and reference architectures for engineering teams
 
 
 
 
 
 
 DevOps &amp; Automation
 
 
 
 &bull; Build and maintain Infrastructure as Code (IaC) using Terraform and Google Deployment Manager
 
 
 &bull; Design and manage CI/CD pipelines using Cloud Build, GitHub Actions, or similar tooling
 
 
 &bull; Automate cloud operations, monitoring, and remediation using scripting (Python, Bash, Go)
 
 
 
 
 
 
 Security &amp; Compliance
 
 
 
 &bull; Implement and enforce GCP security best practices including IAM, VPC Service Controls, and Cloud Armor
 
 
 &bull; Ensure compliance with regulatory frameworks (SOC 2, ISO 27001, GDPR) within the cloud environment
 
 
 &bull; Conduct regular security assessments and drive vulnerability remediation efforts
 
 
 
 
 
 
 Reliability &amp; Performance
 
 
 
 &bull; Define and maintain SLIs, SLOs, and error budgets for cloud infrastructure services
 
 
 &bull; Lead incident response, root cause analysis, and blameless post-mortems
 
 
 &bull; Optimize cloud resource utilization and drive cost management through FinOps practices
 
 
 
 
 
 
 Collaboration &amp; Leadership
 
 
 
 &bull; Mentor junior and mid-level cloud engineers and promote a culture of learning
 
 
 &bull; Collaborate with product, data, and security teams to align cloud strategy with business goals
 
 
 &bull; Document architecture decisions, runbooks, and operational procedures
 
 
 
 
 
 
 Google Cloud Networking
 
 
 
 &bull; Design and manage Google Cloud VPC networks, subnets, firewall rules, and network policies
 
 
 &bull; Configure and optimize Cloud Load Balancing (HTTP(S), TCP/SSL, Internal) for high-availability workloads
 
 
 &bull; Implement Cloud CDN, Cloud DNS, and Traffic Director for global traffic management
 
 
 &bull; Set up and manage hybrid connectivity using Cloud Interconnect (Dedicated &amp; Partner) and Cloud VPN
 
 
 &bull; Deploy and configure Shared VPC and VPC Network Peering for multi-project architectures
 
 
 &bull; Apply network security controls including Cloud Armor (WAF/DDoS), VPC Service Controls, and Private Google Access
 
 
 &bull; Monitor and troubleshoot network performance using Network Intelligence Center, Connectivity Tests, and VPC Flow Logs
 
 
 &bull; Design private networking for GKE clusters using Alias IP ranges, Cloud NAT, and Private Service Connect
 
 
 
 
 
 
 Requirements :
 
 
 
 &bull; Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field &mdash; or equivalent practical experience.
 
 
 &bull; 7+ years of experience in cloud engineering, with at least 5 years hands-on with GCP
 
 
 &bull; Deep expertise in GCP services: GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Functions, VPC, IAM
 
 
 &bull; Proficiency in Infrastructure as Code using Terraform
 
 
 &bull; Strong programming/scripting skills in Python, Go, or Bash
 
 
 &bull; Experience with Kubernetes and containerized workloads
 
 
 &bull; Hands-on experience with CI/CD tooling and GitOps workflows
 
 
 &bull; Solid understanding of networking concepts: DNS, VPNs, load balancing, CDN, TCP/IP
 
 
 &bull; Experience implementing security controls and compliance in cloud environments
 
 
 &bull; Google Cloud Professional certifications (Cloud Architect, DevOps Engineer, Security Engineer)
 
 
 &bull; Experience with multi-cloud or hybrid cloud architectures
 
 
 &bull; Familiarity with data engineering tools: Dataflow, Dataproc, BigQuery ML
 
 
 &bull; Experience with service mesh technologies (Istio, Anthos Service Mesh)
 
 
 &bull; Background in SRE principles and practices
 
 
 
 
 
 
 
 
 
 Required Specialized Certifications :
 
 
 
 Google Professional Cloud Architect
 
 
 Google Professional DevOps Engineer
 
 
 Google Professional Cloud Security Engineer
 
 
 Google Associate Cloud Engineer
 
</div>

Senior Cloud Engineer {GCP}

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Senior AI Engineer (Arabic Speaker)</h1>
Location: Riyadh, Saudi Arabia 
Experience: 6&ndash;8 Years 
Employment Type: Full-Time / Contract 
Language Requirement: Native or Fluent Arabic Speaker (Mandatory)<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking a highly skilled Senior AI Engineer (Arabic Speaker) to join our growing AI and Data Science team in Riyadh. The ideal candidate will have strong expertise in Artificial Intelligence, Generative AI, Machine Learning Operations (MLOps), and Cloud-based AI Platforms, with proven experience in designing, developing, deploying, and managing enterprise-grade AI solutions.
The successful candidate will play a key role in building scalable AI systems, implementing GenAI applications, operationalizing machine learning models, and collaborating with business stakeholders to deliver innovative AI-driven solutions that create measurable business impact.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI &amp; Machine Learning Development</h3><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise use cases.</li><li>
Build and optimize predictive analytics, NLP, recommendation systems, and intelligent automation solutions.</li><li>
Develop AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.</li><li>
Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures.</li><li>
Evaluate and benchmark AI models to ensure performance, scalability, and reliability.</li></ul><h3 class="jobSectionHeader">
Generative AI Engineering</h3><ul><li>
Design and implement enterprise GenAI solutions using OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, and other LLM platforms.</li><li>
Develop conversational AI solutions, intelligent assistants, and knowledge management systems.</li><li>
Build prompt engineering frameworks and optimize prompts for business use cases.</li><li>
Implement vector databases and semantic search solutions.</li><li>
Develop AI agents and autonomous workflows using modern AI orchestration frameworks.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; AI Operations</h3><ul><li>
Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.</li><li>
Automate model deployment using CI/CD pipelines and infrastructure-as-code practices.</li><li>
Monitor model performance, drift detection, retraining strategies, and operational KPIs.</li><li>
Establish AI governance, model versioning, reproducibility, and compliance standards.</li><li>
Implement scalable AI platforms supporting multiple business units.</li></ul><h3 class="jobSectionHeader">
Cloud &amp; Platform Engineering</h3><ul><li>
Deploy AI/ML workloads on cloud platforms such as Azure, AWS, GCP, or OCI.</li><li>
Manage containerized AI environments using Docker and Kubernetes.</li><li>
Design scalable AI infrastructure supporting high-volume enterprise workloads.</li><li>
Optimize cloud resources, performance, and operational costs.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Integration</h3><ul><li>
Collaborate with data engineering teams to build AI-ready data pipelines.</li><li>
Integrate AI solutions with enterprise applications, APIs, databases, and business platforms.</li><li>
Ensure data quality, security, privacy, and compliance with organizational standards.</li></ul><h3 class="jobSectionHeader">
Stakeholder Management</h3><ul><li>
Engage with business stakeholders to identify AI opportunities and translate business requirements into technical solutions.</li><li>
Present AI solution architectures, recommendations, and project outcomes to technical and non-technical audiences.</li><li>
Mentor junior AI engineers, data scientists, and platform engineers.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Artificial Intelligence &amp; Machine Learning</h3><ul><li>
Machine Learning</li><li>
Deep Learning</li><li>
Natural Language Processing (NLP)</li><li>
Predictive Analytics</li><li>
Computer Vision (preferred)</li><li>
Reinforcement Learning (preferred)</li></ul><h3 class="jobSectionHeader">
Generative AI</h3><ul><li>
Large Language Models (LLMs)</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Prompt Engineering</li><li>
AI Agents &amp; Multi-Agent Systems</li><li>
Fine-Tuning and Model Optimization</li><li>
Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li><li>
LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen</li></ul><h3 class="jobSectionHeader">
MLOps</h3><ul><li>
MLflow</li><li>
Kubeflow</li><li>
Airflow</li><li>
Model Monitoring &amp; Observability</li><li>
CI/CD for ML</li><li>
Feature Stores</li><li>
Model Registry</li><li>
Experiment Tracking</li><li>
Model Governance</li></ul><h3 class="jobSectionHeader">
Cloud Platforms</h3><ul><li>
Microsoft Azure</li><li>
AWS</li><li>
Google Cloud Platform (GCP)</li><li>
Oracle Cloud Infrastructure (OCI) &ndash; Preferred</li></ul><h3 class="jobSectionHeader">
Containers &amp; DevOps</h3><ul><li>
Docker</li><li>
Kubernetes</li><li>
Git</li><li>
GitHub Actions</li><li>
Jenkins</li><li>
Terraform</li><li>
Infrastructure as Code</li></ul><h3 class="jobSectionHeader">
Programming Languages</h3><ul><li>
Python (Mandatory)</li><li>
SQL</li><li>
Bash/Shell Scripting</li><li>
Java or C# (Preferred)</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.</li><li>
Master's Degree in AI, Machine Learning, Data Science, or related field is highly preferred.</li></ul><h2 class="jobSectionHeader">
Experience Requirements</h2><ul><li>
6&ndash;8 years of experience in AI/ML Engineering, Data Science, or AI Platform Engineering.</li><li>
Minimum 3+ years of hands-on experience implementing Generative AI solutions.</li><li>
Proven experience building and operationalizing machine learning models in production environments.</li><li>
Strong experience implementing enterprise MLOps frameworks and practices.</li><li>
Experience working with cloud-native AI services and modern AI platforms.</li></ul><h2 class="jobSectionHeader">
Preferred Certifications</h2><ul><li>
Microsoft Azure AI Engineer Associate</li><li>
AWS Machine Learning Specialty</li><li>
Google Professional Machine Learning Engineer</li><li>
OCI AI Foundations Associate</li><li>
Kubernetes Certifications (CKA/CKAD)</li><li>
Databricks Machine Learning Professional</li></ul><h2 class="jobSectionHeader">
Soft Skills</h2><ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management abilities.</li><li>
Ability to work effectively in cross-functional and multicultural environments.</li><li>
Strong ownership, accountability, and leadership mindset.</li><li>
Passion for innovation and continuous learning.</li><li>
Ability to communicate fluently in both Arabic and English.</li></ul><h2 class="jobSectionHeader">
Mandatory Requirements</h2><ul><li>
Native or Fluent Arabic Speaker.</li><li>
6&ndash;8 years of relevant AI/ML engineering experience.</li><li>
Hands-on expertise in Generative AI and MLOps.</li><li>
Strong Python programming skills.</li><li>
Experience deploying AI solutions in enterprise production environments.</li><li>
Willingness to work onsite in Riyadh, Saudi Arabia.</li></ul>
synAh1U1mw</div>

Senior AI Engineer (Arabic Speaker)

Career Maker

Job Description Senior Software Engineer, Client Applications (macOS) Location: Riyadh, Saudi Arabia Role Overview Our client is seeking a highly skilled Senior Software Engineer, Client Applications (macOS) to join their team in Riyadh, Saudi Arabia. This role will focus on the core sync and operating system integration layer of the client desktop application on macOS. The primary emphasis is on system-level development in Swift, leveraging Apple&rsquo;s File Provider framework and a strong understanding of macOS internals, filesystems, and OS integration. The successful candidate will design and implement core sync and filesystem logic, integrate with Finder and macOS system services, and collaborate closely with QA, UI, and backend teams to deliver a robust desktop client experience. This is a fully office-based role in Riyadh.Key Responsibilities Design, develop, and maintain system-level components for the desktop application on macOS using Swift 5.5 and above. Work with Apple File Provider, File Provider domain management, and Endpoint Security / ESClient to handle filesystem events, placeholders, hydration/dehydration, and user actions. Implement and maintain gRPC services and clients, along with JSON/REST-based APIs where required, to connect low-level system components with higher-level layers such as Electron / TypeScript UI and server-side services. Contribute to Windows system components in modern C++ using the Windows Cloud Files API (CFAPI) where applicable. Develop and maintain automated test coverage, including unit tests (gtest) and integration tests (Python + pytest). Integrate with Finder for file badges, context menus, and other extensions using File Provider and PlugInKit. Debug complex system-level issues using Xcode, LLDB, Instruments, and other macOS system tools. Contribute to build and CI/CD pipelines, including Jenkins, Xcode build tools, Swift Package Manager, and shell scripting. Collaborate effectively with UI, QA, Windows engineering, and backend teams to deliver stable, high-performance client applications. Key Skills &amp; Experience 1) Swift / macOS System Programming Strong hands-on experience with Swift (Swift 5.5 and above) in a commercial environment. Strong experience with async/await, actors, and structured concurrency. Solid understanding of macOS internals, including: o processes o Grand Central Dispatch o concurrency primitives o synchronization o I/O o memory management o security entitlements Hands-on experience with macOS / POSIX and Apple framework APIs, including: o Foundation o FileProvider o EndpointSecurity o XPC Experience building multithreaded and asynchronous applications using Swift structured concurrency. 2) Filesystems, Sync &amp; Networking Strong understanding of filesystem behavior, including: o notifications o metadata handling o caching o locking o renames o symbolic links / junctions Experience in or strong exposure to sync clients, backup applications, cloud storage, or related desktop platforms. Familiarity with networked applications and protocols such as HTTP/HTTPS, TLS, and proxies from a development perspective. 3) APIs, Testing &amp; Debugging Experience working with RPC / typed APIs, such as gRPC, JSON/REST, or similar service communication frameworks. Hands-on experience building automated tests, including: o unit tests in gtest o integration tests in Python + pytest Strong debugging and troubleshooting capability on macOS using: o Xcode o LLDB o Instruments o Console.app o fs_usage o log stream 4) Collaboration &amp; Work Style Ability to work independently and take ownership of complex technical subsystems. Comfortable collaborating with UI, QA, Windows/C++ engineers, and backend services teams. Good communication skills in English and prior experience working in a globally distributed team. Comfortable using AI-assisted coding tools such as GitHub Copilot, Cursor, Claude Code, or similar tools as part of the daily development workflow. Nice to Have Experience with Apple File Provider or other virtual filesystem / sync APIs. Experience building macOS installers, including PKG / DMG creation, notarization, hardened runtime, and Gatekeeper compliance. Familiarity with Swift Package Manager (SPM) for dependency management. Experience with XPC services for secure inter-process communication on macOS. Familiarity with macOS sandboxing, entitlements, code signing, and Apple notarization pipelines. Experience with Jenkins or similar CI systems. Exposure to large language model APIs (e.g. OpenAI, Anthropic) or a general awareness of how AI-assisted tooling is influencing modern engineering workflows. Scripting skills in shell scripting on macOS/Linux and/or basic PowerShell for cross platform CI tasks. Background in cloud storage, sync clients, security/endpoint products, or distributed systems. Strong awareness of security best practices when working at the OS and filesystem layer.Candidate Profile We are looking for a technically strong macOS systems engineer who combines deep Swift/macOS expertise with strong ownership, debugging capability, and the ability to collaborate across a distributed product engineering environment. Candidates who meet the majority of the core requirements, even if not every nice-to-have item, are encouraged to apply.What Our Client Offers Opportunity to work with a highly skilled engineering team building a world-class product Structured learning, training, and development opportunities Mentorship and support for ongoing technical and career growth Competitive salary with annual bonus potential Fully onsite role in Riyadh with flexible working hours outside company core collaboration windows Paid annual leave and public holidays as per company policy Additional employee benefits including birthday leave, volunteer day leave, and selected work-related reimbursements Exposure to a global engineering environment and modern development practices Additional Information Please note that background security checks will be conducted for all successful candidates prior to joining.Application Question(s):<ul><li>&bull;	Do you have hands-on experience with Swift (5.5 or above) in macOS system-level / desktop application development:</li></ul>Work Location: In person

Sr Software Engineer-macOS

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>

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237 building engineer jobs In Riyadh

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