software engineer

senior data engineer

materials engineer

senior materials engineer

site electrical engineer

senior research engineer

Qualcomm

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Systems Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About us
 
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 
 .
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 
 About The Role
 
 
 
 
 The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
 
 
 We are seeking a Senior Staff Machine Learning Engineer to provide hands‑on technical leadership in the design, optimization, and deployment of machine learning frameworks and applications on Qualcomm AI platforms. This is an individual contributor role that operates with broad technical scope, high autonomy, and significant cross‑team impact. The successful candidate will drive complex initiatives end‑to‑end, influence technical direction through expertise and execution, and mentor engineers across the organization while remaining deeply hands‑on.
 
 
 Job activities span the full product life cycle, from early research and architecture through commercial deployment and sustained optimization. The role requires frequent cross‑functional collaboration, strong technical judgment, and the ability to independently plan, execute, and influence complex engineering efforts.
 
 
 
 We are looking for candidates with12+ years Systems Engineering or related work experience
 
 
 
 
 
 Responsibilities Will Include:
 
 
 
 
 <ul>
 <li>
 Research, design, develop, enhance, and implement the different components of machine learning frameworks, Graph optimizations for performance and accuracy tailored towards Qualcomm NPUs.
 </li>
 <li>
 Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
 </li>
 <li>
 Analyze and identify system level integration issues, interface with the software development, integration and test teams.
 </li>
 <li>
 Work on latest GenAI techniques and adapt those for NPUs. Architect new techniques which work best on Qualcomm SOCs and architecture.
 </li>
 <li>
 Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
 </li>
 <li>
 12+ years Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 <ul>
 <li>
 Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
 </li>
 <li>
 Has experience in model level optimization using techniques like torch compile.
 </li>
 <li>
 Expertise in model architecture, backed by literature rationale and intuition
 </li>
 <li>
 Understanding of broad-spectrum model architectures across modalities, ML algorithms and techniques
 </li>
 <li>
 Expertise in Model training and inference workflows.
 </li>
 <li>
 Hands-on Experience in C/C++, Python development (5+ years)
 </li>
 <li>
 Hands-on Experience with Object Orientated Design, and software development practices in general
 </li>
 <li>
 Experience with Source Code and Configuration management tools, git knowledge is required
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications And Aptitudes
 
 
 
 
 <ul>
 <li>
 Willingness to work in a cohesive software development environment with ability to work on low level implementation (code &amp; test) and interfacing with hardware and simulators
 </li>
 <li>
 Experience in neural network architectures + ML compiler workload synthesis, a plus
 </li>
 <li>
 Prior working experience of hardware accelerators and hardware software co-design
 </li>
 <li>
 Experience of profiling software and optimization techniques
 </li>
 <li>
 Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms.
 </li>
 <li>
 A research mindset with expertise in software development
 
 
 
 </li>
 </ul>
 
 
 What's On Offer
 
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
 
 
 <ul>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

AniVax

Location: Riyadh, Saudi Arabia Employment Type: Full-time(Urgent)Job SummaryWe are looking for a highly experienced Senior Process Engineer with expertise in veterinary vaccine manufacturing to join our team in Riyadh, Saudi Arabia. The ideal candidate will have extensive experience in vaccine production processes, process optimization, technology transfer, and GMP compliance.Key Responsibilities<ul><li>Lead process engineering activities for veterinary vaccine manufacturing.</li><li>Develop, optimize, and validate manufacturing processes.</li><li>Support facility design, equipment selection, commissioning, and qualification.</li><li>Prepare and review SOPs, process validation protocols, and technical documentation.</li><li>Ensure compliance with GMP, WHO, and international regulatory standards.</li><li>Support technology transfer, troubleshooting, and continuous process improvement.</li><li>Work closely with Production, QA, QC, Validation, and Engineering teams.</li><li>Participate in audits and regulatory inspections.</li></ul>Requirements<ul><li>Bachelor's or Master's degree in Chemical Engineering, Biotechnology, Bioprocess Engineering, Pharmaceutical Engineering, or a related field.</li><li>8&ndash;15+ years of experience in vaccine or biopharmaceutical manufacturing.</li><li>Minimum 5 years of hands-on experience in veterinary vaccine manufacturing.</li><li>Strong knowledge of upstream and downstream processing, aseptic manufacturing, and process validation.</li><li>Experience with technology transfer, GMP, and regulatory compliance.</li><li>Excellent communication and problem-solving skills.</li><li>Willing to relocate to Riyadh, Saudi Arabia.</li></ul>Benefits<ul><li>Competitive salary package.</li><li>Opportunity to work on advanced veterinary vaccine manufacturing projects.</li><li>Professional growth in an international work environment.</li></ul>Work Location: In person

Senior Process Engineer – Veterinary Vaccines

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

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)

MASTER-WORKS

<div>Master Works is seeking a Product, Senior Manager to lead the end-to-end lifecycle of strategic AI/ML products. The role requires a strong balance of customer empathy, business acumen, and technical understanding to define product vision, drive execution, and deliver measurable business outcomes. The Senior Product Manager will collaborate closely with Engineering, Design, Data, and AI teams, as well as leadership, to deliver innovative products that solve real customer needs and support business growth.
Key Responsibilities<ul><li>
Define and own the product vision, roadmap, and success metrics aligned with business objectives.
</li><li>Translate AI/ML strategy into clear, prioritized product initiatives and measurable outcomes.
</li><li>Conduct market, customer, and competitive research to identify opportunities and product improvements.
</li><li>Lead the full product lifecycle, including discovery, planning, development, launch, and continuous improvement.
</li><li>Develop clear product requirements, user stories, acceptance criteria, and product documentation.
</li><li>Prioritize product backlogs based on data insights, business impact, and customer value.
</li><li>Partner with Engineering, Design, Data, and AI teams to ensure successful and timely product delivery.
</li><li>Act as the primary product representative across cross-functional teams and stakeholders.
</li><li>Communicate product strategy, roadmap progress, and key decisions to senior leadership.
</li><li>Align stakeholders on priorities, roadmap decisions, and product direction.
</li><li>Gather customer insights through user interviews, analytics, testing, and feedback channels.
</li><li>Define, monitor, and analyze KPIs to measure product performance, impact, and ROI.
</li><li>Drive continuous improvement through data-driven insights and product best practices.
</li><li>Promote effective product discovery, delivery processes, and documentation standards.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field (Master&rsquo;s preferred).
</li></ul><ul><li>6+ years of experience in Product Management and Project Management.
</li><li>Proven experience managing complex products within agile environments.
</li><li>Strong understanding of the software development lifecycle and modern product management practices.
</li><li>Ability to translate business requirements into technical and customer-focused solutions.
</li><li>Strong analytical, problem-solving, and decision-making skills.
</li><li>Excellent communication, presentation, and stakeholder management capabilities.
</li><li>Experience working with AI/ML products or data-driven solutions is preferred.
</li><li>Arabic: Native
</li><li>English: Fluent
</li></ul>Job Location: Client Site</div>

Product, Senior Manager

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}

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>
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GTM Engineer

Explore 229+ Senior research engineer in Riyadh this July. Find roles across top companies and apply now to boost your career.