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Eastgate Medical Services
Role:Seeking a Sales Specialist to achieve sales targets, build relationships with medical professionals, and demonstrate aesthetic surgery devices in Qatar.
KUWAIT JOBS HERE
Role:Others
Job Id :100199393
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Kuwait local hiring only
Facility Management Company in Kuwait
Must be Article 18/ Ahli visa transferable
5 Years & above experience in HVAC Supervision role
can Join Immediately
Please send your cv via whatsapp only : 92224782
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Location : Al-Rai , Kuwait
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Posted : Today
Job Type : Full-Time
Company : Kuwait Jobs
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Role:Cleaner
Job Id :100199397
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Female Secretary Arab National Expert in English - 1
Female / Male Electrical Engineer for Project - 2
Female / Male Electrical Supirvisor - 2
Female Personal / Admin Assistant -2
Female Sales And Marketing Executives - 5
Female Cleaner - 1
Freshers can Also Apply
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amirakuwait22@gmail.com
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Job Type : Full-Time
Company : Kuwait Jobs
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Zelo
Role:🚀 We're hiring a Core Engineer to help build the backbone of SME finance in the UAE.
Zelo turns SME receivables into instant liquidity — real money, real customers, real scale. We just landed $715M in capital allocation from our parent, IHC, and we're deploying it fast.
We're not looking for someone we hand-hold. Give this person a one-line requirement and they'll go research it, think it through, brainstorm with the team, and come back with a real solution.
→ Core credit & workflow engines in Java
→ Zelo Procure — our source-to-pay ERP with financing built in
→ Event-driven systems, AI/LLM-powered document intelligence
→ Real system design, not CRUD, not toy problems
✅ 2–6 yrs full-stack/backend, Java + React
✅ Strong LLD/HLD chops — you've built products, not just features
✅ Self-managed, no hand-holding, ships fast
✅ Bonus if you're comfortable in front of customers too
Abu Dhabi, in-office. Visa + relocation
If you want to build something that actually matters — not another dashboard nobody uses — this is it.
📩 Skip the cover letter. Send a 60–90 second pitch (video or voice note) on why you're the right fit to careers@zelofinance.ai
#Fintech #Hiring #JavaEngineer #SoftwareEngineering #AbuDhabi #StartupJobs #SystemDesign #AI
KUWAIT JOBS HERE
Role:Sales executive
Job Id :100199084
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Job Vacancy: IT Sales Executive (Female)
📍 Location: Hawally, Kuwait
🕘 Timing: 9:00 AM – 4:00 PM
📅 Working Days: Sunday to Thursday
Job Description
We are looking for a dynamic and enthusiastic female IT sales executive to join our team. The role involves identifying and pursuing new sales opportunities specifically for IT hardware products.
Requirements
Freshers or experienced candidates are welcome
Immediate joining
Strong communication and interpersonal skills
Passion for sales and willingness to learn
Basic understanding of IT hardware is a plus
How To Apply
📱 Send your CV via WhatsApp only (no calls, please): 96757597
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Location : Hawally , Kuwait
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Posted : 3 days ago
Job Type : Full-Time
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Company : Kuwait Jobs
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Role:Hiring 1 Driver
Driver
Job Id :100198400
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Hiring visa 18 driver for restaurant but we will not transfer visa.
Company will provide car n petrol. Duty 10 hrs salary 230 kd and weekly 1 day off.
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Location : Al Qurain , Kuwait
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Posted : 15 days ago
Job Type : Full-Time
Company : Kuwait Jobs
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Al-Futtaim
Role:Job Requisition ID: 182415
About Al-Futtaim
Established in the 1930s, Al-Futtaim is one of the most diversified and progressive privately held regional businesses, headquartered in Dubai. Operating across more than 20 countries, the Group spans automotive, financial services, real estate, retail and health. With more than 40,000 employees, Al-Futtaim represents over 200 of the world’s most recognised brands, including Toyota, Lexus, IKEA, ACE and Marks & Spencer. Driven by its purpose to enrich lives and elevate communities, Al-Futtaim focuses on digital innovation, AI, sustainable growth and strategic partnerships, creating long-term value for customers, communities and partners while building a responsible legacy for future generations.
About The Role
We are looking for an experienced AI / ML Engineer to design, build, and operationalize Artificial Intelligence and Machine learning systems that deliver measurable business value. This role takes models from experimentation to robust, scalable production services.
You will partner with domain experts and product managers to translate business problems into well-engineered AI solutions, spanning classical ML, LLMs, RAG and emerging agentic AI workflows. The position suits an engineer who is equally comfortable training and fine-tuning models, building reliable data and inference pipelines, and owning the MLOps lifecycle that keeps those systems performant, governed, and cost-efficient in production.
This is a high-impact role for someone who wants to shape how AI is deployed responsibly and at scale across the enterprise.
Key Responsibilities
Develop and integrate generative AI and LLM-based solutions, including prompt engineering, RAG architectures, embeddings/vector search, fine-tuning, and evaluation of model outputs.
Design and implement agentic AI workflows — orchestrator/sub-agent topologies, tool/function calling, and integrations via protocols such as the Model Context Protocol (MCP) with appropriate guardrails and human-in-the-loop controls.
Design, develop, train, and deploy machine learning and deep learning models for production use cases (e.g., prediction, classification, NLP, recommendation, computer vision).
Build and maintain end-to-end ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
Operationalize models through robust MLOps practices: CI/CD for ML, model versioning, automated retraining, A/B testing, and performance/drift monitoring.
Collaborate with data engineers to ensure reliable, well-governed data flows and feature stores supporting model performance.
Optimize models and inference infrastructure for latency, throughput, scalability, and cost.
Implement observability, logging, and alerting for deployed AI systems; diagnose and resolve issues including data drift, model degradation, and quality regressions.
Embed responsible AI principles — fairness, explainability, security, privacy, and compliance — into the design and deployment lifecycle.
Contribute to architecture decisions, code reviews, technical documentation, and engineering best practices.
Translate ambiguous business requirements into clear technical solutions and communicate outcomes to both technical and non-technical stakeholders.
Required Skills & Experience
Technical
3–7+ years of hands-on experience building and deploying AI/ML systems in production
Strong programming skills in Python, with solid software engineering fundamentals (testing, version control, modular design, code review).
Practical experience with LLMs and generative AI — including prompt design, RAG, embeddings, vector databases, and model evaluation.
Proven experience with ML frameworks such as scikit-learn, PyTorch, and/or TensorFlow.
Solid grounding in core ML/DL concepts: supervised/unsupervised learning, model evaluation, feature engineering, NLP, and neural network architectures.
Experience deploying models as production services (REST/gRPC APIs, containerization, batch and real-time inference).
Strong data skills: SQL, data manipulation (e.g., pandas/Spark), and working with large, real-world datasets.
Experience with at least one major cloud platform (Azure, AWS, or GCP) and its ML services.
Familiarity with MLOps tooling and the practical realities of model monitoring, retraining, and lifecycle management.
Functional
Ability to translate business problems into well-scoped, measurable AI solutions.
Strong analytical and problem-solving skills with a pragmatic, outcome-focused mindset.
Clear written and verbal communication; able to explain technical trade-offs to diverse stakeholders.
Comfortable working in cross-functional, agile teams and collaborating across data, product, and engineering.
Sound judgment on model risk, data governance, and responsible AI considerations.
Preferred Qualifications
Experience fine-tuning or adapting foundation models
Hands-on work with agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent) and multi-agent orchestration.
Experience building RAG pipelines at scale, including chunking strategy, retrieval tuning, and grounding/evaluation.
Familiarity with distributed training, GPU optimization, and model serving at scale.
Experience with streaming/real-time data and event-driven architectures.
Exposure to AI governance frameworks, model risk management, red-teaming, or DPIA-style assessments.
Domain experience in a regulated industry (e.g., financial services, insurance/reinsurance, healthcare) is a plus.
Contributions to open-source projects, publications, or a portfolio of applied AI work.
Education & Certifications
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics
Relevant certifications are advantageous, for example:
Cloud/ML certifications (e.g., Azure AI Engineer / Azure Data Scientist, AWS Machine Learning, Google Cloud ML Engineer).
Databricks ML / Data Engineer certifications.
Vendor or framework-specific GenAI / agentic AI credentials.
Tools & Technologies
Languages: Python (primary); SQL
GenAI / LLMs: OpenAI, Anthropic (Claude), Azure OpenAI, open-weight models (e.g., Llama, Mistral); LangChain / LangGraph / LlamaIndex; MCP for tool and context integration.
Vector / Retrieval: FAISS, Pinecone, Weaviate, pgvector, or similar.
Data & Compute: Spark, Databricks, Pandas, Delta Lake; feature stores.
Cloud & ML Platforms: Azure ML or AWS SageMaker, or Google Vertex AI.
ML / DL: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers.
MLOps & DevOps: MLflow, Docker, Kubernetes, CI/CD pipelines, Git; experiment tracking and model registry.
Monitoring & Observability: drift/performance monitoring, evaluation harnesses, logging and alerting tooling.
Nice-to-Have / Differentiators
Experience taking AI systems from prototype to production with safety controls (guardrails, prompt-injection defenses, kill-switches, human-in-the-loop review).
Track record of optimizing inference cost and latency for LLM-based applications at scale.
Experience designing evaluation frameworks for non-deterministic GenAI outputs (quality, factuality, safety).
Familiarity with enterprise AI governance, model documentation, and audit/compliance requirements.
Strong product sense — understanding how AI features create user and business value, not just model metrics.
Experience integrating AI into existing enterprise systems and workflows with minimal disruption.
About Orient Insurance PJSC
Orient Insurance Company commenced operations in 1982 as a part of the reputed Al-Futtaim Group and has since recorded a progressively steady growth. The Company is counted among the leaders in the UAE insurance market. Orient Insurance Company has a paid-up capital of AED 500 Million which is the highest in the insurance industry in UAE. With head office in Dubai, the company serves its clientele through an extensive branch network in Jebel Ali, Abu Dhabi, Al Ain, Sharjah and Ras Al Khaimah in UAE, Muscat in Sultanate of Oman, Riyadh in Kingdom of Saudi Arabia and Bahrain.
Jack Westin
Role:About Jack Westin
Jack Westin is a leading Medical College Admissions Test (MCAT) preparation company which is known for crafting high quality, but free, practice materials. The MCAT tests students on the scientific reasoning skills and scientific knowledge which can be learned during typical undergraduate coursework.
Our Three Principles
As we continue to grow and help students, we are guided by three major principles that we believe are vital to our community.
Attention to quality
We only create courses and practice questions that we would use. That means having the best, first-class teaching content that can possibly exist. We're not satisfied with mediocrity. We don't care about the amount of time or money it takes to get something done right. If it's not perfect, we won't stop until we believe it is. This ethos runs deep within our company.
Excellence in support
We're obsessed with our students. Their well-being and success drives us each day. Great customer service is not an afterthought. It is the most important service we can offer. We understand that our students come from different learning backgrounds. It's our mission to ensure that each one has an amazing experience.
Learn from anywhere at anytime
We are committed to building the future of education on the internet so that it is easily accessible to all students from around the world. Our dedication is to all students who want to learn, regardless of their pace, and no matter what time of the day it is.
About the Role (Remote | $2,000–$2,500/month)
We are hiring a Senior PHP Laravel Software Engineer to lead backend architecture, mentor engineering teams, and build high-performance, scalable systems for JackWestin’s online learning platform. This role requires strong technical leadership and deep Laravel expertise.
You will work closely with the team lead, Product, frontend, and QA to turn features into reliable, well-designed services, and you will be expected to contribute to technical planning and architecture decisions, not simply execute predefined tickets.
Responsibilities
Lead backend architecture and technical decisions.
Design scalable and secure distributed systems.
Develop and maintain the PHP services and APIs that power our online learning platform.
Build and optimize high-performance APIs and services.
Work with the team lead to clarify the technical approach, break features into manageable tasks, and flag dependencies or blockers early.
Lead technical planning and estimation.
Design and update database schemas, write migrations, and optimize queries as the platform grows.
Build and maintain integrations with third-party services, including payment and video providers.
Write automated tests for new features and bug fixes, review teammates’ merge requests, and document API changes that affect other teams.
Review and enforce engineering best practices.
Mentor junior and mid-level engineers.
Collaborate with frontend developers, Product, QA, and business stakeholders to agree on API contracts, clarify expected behavior, and verify features before release.
Handle critical production incidents: investigate issues using logs and monitoring, fix root causes, and add regression tests where appropriate.
Improve the security, performance, scalability, and maintainability of existing services through regular fixes and refactoring.
Improve CI/CD and deployment workflows.
Drive engineering process improvements.
What We’re Looking For
6+ years of PHP development experience.
Deep Laravel framework expertise.
Advanced database architecture knowledge.
Strong system design and scalability experience.
Experience with queues, Redis, caching, and event-driven systems.
CI/CD and DevOps understanding.
Cloud infrastructure experience (AWS, GCP, DigitalOcean, etc.).
Strong debugging and performance optimization skills.
Leadership and mentoring experience.
Nice to have
Microservices architecture.
Kubernetes and container orchestration.
Event sourcing/CQRS knowledge.
High-traffic application experience.
Security auditing experience.
What We Offer
100% remote, full-time position
$2,000–$2,500/month (depending on experience)
Real ownership and impact
Jumeira University
Role:Company Description
Jumeira University Training Institute (JUConnect) is the professional training arm of Jumeira University in Dubai, authorized by KHDA UAE. It provides industry-relevant training programs that bridge academic knowledge with practical skills. JU Connect is the Specialized training and development wing of Jumeira University, established to support business organizations, students, professionals, schools and education providers across the UAE with internationally benchmarked, practice-driven industry recognized and UAE Local Authorities.
Role Description
The Business Development Manager will be responsible for driving revenue growth, expanding market presence, and establishing strategic partnerships for Jumeira University Training Institute (JUConnect). The role focuses on promoting training programs, securing corporate clients, and identifying new business opportunities aligned with the institute’s mission of delivering industry-relevant, practice-driven learning solutions.
Business Development & Revenue Growth
Identify and develop new business opportunities across corporate, government, and individual training segments
Achieve revenue targets through program sales, corporate training contracts, and partnerships
Promote key training areas such as AI, Business, Digital Skills, and Language Programs
Develop and execute sales strategies to increase enrollments and institutional collaborations
Corporate & Institutional Partnerships
Build and maintain relationships with corporate clients, schools, and government entities
Design customized training solutions for organizations (L&D, leadership, digital transformation)
Collaborate with internal teams to tailor programs based on client requirements
Market Expansion & Strategy
Conduct market research to identify trends, competitor offerings, and emerging training demands
Explore new segments such as international students, lifelong learners, and career switchers
Develop go-to-market strategies for new programs, bootcamps, and certifications
Marketing & Lead Generation
Work closely with marketing team to plan campaigns, events, and promotions
Generate leads through networking, exhibitions, digital platforms, and partnerships
Represent the institute at industry events, education fairs, and corporate meetings
Client Relationship Management
Manage the full sales cycle: lead generation, proposal development, negotiation, and closure
Ensure high client satisfaction and repeat business
Maintain CRM records and prepare regular reports on pipeline and performance
Internal Coordination
Coordinate with academic and training teams to align offerings with market needs
Support program development based on industry demand
Ensure compliance with KHDA and institutional requirements where applicable
Qualifications and Skills required
Bachelor degree in Business Administration, Marketing, or related field (Master’s preferred).
Minimum 5–8 years of experience in business development, preferably in Training institutes, Education sector / EdTech or Corporate L&D solutions.
Strong network within UAE corporate, education, or government sectors is highly preferred.
Proven track record in sales, business development, and revenue generation.
Strong negotiation and deal-closing skills.
Excellent communication, presentation, and proposal development abilities.
Strategic thinking with strong market analysis and opportunity identification skills.
Ability to design and sell customized training / learning solutions.
Strong relationship management and stakeholder engagement skills.
Good understanding of UAE training and education landscape (KHDA exposure is a plus).
Proficiency in Arabic language is highly preferred.
Interested candidates may also send their CV to hr@ju.ac.ae
Please apply only if you meet the eligibility criteria for the position. Applications that do not meet the requirements will not be considered.
Zutari
Role:Description
Zutari designs transport systems that connect people, enable trade, and unlock economic growth across Africa and the Middle East. Our work spans roads, rail, transit, and integrated mobility systems that are safe, efficient, and future-ready.
We are seeking individuals passionate about mobility solutions that go beyond infrastructure and help shape the way cities and regions move.
We employ high-performing talent with the right attitude and a positive mindset, who are motivated by doing the right thing, getting things done, and share a sense of urgency. People who have an impact on our teams and the broader community. People who think differently and connect with those around them to co-create new opportunities and leave a meaningful legacy.
We offer an exciting opportunity for a dynamic and inspiring Roads & Highways Design Engineer
Design and development of road infrastructure projects, including feasibility studies, conceptual and detailed designs, and preparation of technical specifications.
Conduct engineering assessments, analyse data, and evaluate road conditions to identify and recommend appropriate design solutions.
Collaborate with multidisciplinary teams to integrate road design with other infrastructure elements, including but not limited to drainage, utility, street lighting and landscaping disciplines.
Ensure compliance with relevant regulations, codes, and standards throughout road project design and construction phases.
Supervise and monitor junior engineers, providing guidance and technical support to facilitate their technical development.
Liaise with clients, authorities, and other stakeholders to effectively communicate project requirements, resolve technical issues, and addressing any concerns.
Monitor project progress, review design changes and manage risks to ensure successful project delivery.
Support in the preparation of technical reports, feasibility studies and cost estimates, contributing to the development of proposals and bids.
Ensure, as far as is practically possible, that all assigned work is carried out in compliance with the agreed budget and schedule.
Maintain required technical quality of work.
Keep up to date with technical developments, national and international standards and legislative requirements related to discipline work scope.
Assist Lead Engineer and others when requested in the execution of their responsibilities and duties.
Bachelor’s degree in civil engineering with 3-5 years of experience.
Professional engineering accreditation from a recognized institution is preferred.
Proven experience in designing and managing road infrastructure projects, preferably within an engineering consultancy environment.
In depth working knowledge of Dubai and other Middle East Road design standards, regulations, and best practices in the region.
Strong analytical and problem-solving skills, with the ability to assess complex engineering challenges and propose effective solutions.
Excellent project management abilities, including the capacity to prioritize tasks, manage deadlines and allocate resources effectively.
Strong technical knowledge of highway design principles, standards and software skills (AutoCAD, Civil 3D, and MicroStation).
Able to create base design models from agreed work scope.
Computer literate (database / spreadsheets); Data analyses / and proficient in Excel.
Ability to accept delegated responsibility for designated tasks.
Arabic and English written and verbal communication skills.
We believe that a diverse work force is key to our business success. We seek the best people for our jobs based on their skills, qualifications, and experience. We embrace the principle of equal opportunity in employment, and we work towards eliminating all forms of unlawful discrimination in our employment practices. In support of diversity and the equal opportunity principle, preference will be given to individuals from designated groups.
Canonical
Role:Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
We are hiring a Senior Site Reliability / Gitops Engineer to our Information Systems (IS) team. This role is an opportunity for an “automation-first” senior technologist with a passion for Linux to build a career with Canonical and drive the success with those leveraging Ubuntu and open source products. If you have experience of IT operations automation, Infrastructure as Code and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical.
Job Summary
The IS team at Canonical supports and maintains all of Canonical’s IT production services. The team is in charge of running services used by over 60 million Ubuntu users.
As an Senior SRE & Gitops engineer you’ll be in a unique position to drive operations automation to the next level, both in our own private clouds as well as in the public clouds. We do this by utilizing the best of open source infrastructure as code software, software development practices such as CI/CD pipelines, and Canonical’s leading products for software operation automation.
In addition to defining the infrastructure as code, you will improve Canonical products and the open-source technologies they’re based on by providing critical feedback to developers on how their products operate at scale. This is done by submitting bugs (and sometimes writing pull requests) and collaborating on design and implementations with other teams within the company.
You’ll be part of a global team of SREs that work together and support each other to provide the best possible services to our company, Canonical’s customers and the Ubuntu Community.
As a Senior Site Reliability / Gitops Engineer you will
Drive the development of automation, Gitops in your team as an embedded tech lead
Closely collaborate with the IS architect to align your solutions with the IS architecture vision
Design and architect services that IS can offer to the organization as products
Apply your experience of IaC to develop infrastructure as code practice within IS by constantly increasing automation and improving IaC processes
Automate software operations for re-usability and consistency across private and public clouds, taking into consideration the complexities of distributed systems
Maintain operational responsibility for all of Canonical’s core services, networks, and infrastructure
Develop skills in troubleshooting, capacity planning, and performance investigation, Setting up, maintaining and using observability tools such as Prometheus, Grafana, and Elasticsearch; design, implement and maintain monitoring and alerting for various systems and services
Provide assistance and work with globally distributed engineering, operations, and support peers
Be given uninterrupted development time to focus on larger projects and automation of manual tasks
Share your experience, know-how and best practices with other team members in design sessions, mentorship and ‘doing work together’
Carry final responsibility for time-critical escalations
What we are looking for in you
A modern view on hosting architecture, driven by infrastructure as code across both private and public clouds.
A product mindset thriving to develop products rather than solutions.
Python software development experience, with large projects
Experience working with Kubernetes or other container orchestration systems.
Proven exposure to manage and deploy cloud infrastructure with code.
Practical knowledge of Linux networking, routing, and firewalls
Affinity with various forms of Linux storage, from Ceph to Databases
Hands-on experience administering enterprise Linux servers
Extensive knowledge of cloud computing concepts and technologies
Bachelor's degree or greater, preferably in computer science or related engineering field
Able to communicate clearly and effectively in English over email, chat, video or voice calls and in-person
Motivated and able to troubleshoot from kernel to web, and willing to ask others when appropriate
A willingness to be flexible and able to learn new things quickly
Be inspired by the needs of fast-changing environments
Happy to work within distributed teams
Be passionate and familiarized about open-source, especially Ubuntu or Debian
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Auxo Talent
Role:We are seeking an experienced and commercially driven Senior Sales Manager to lead the growth of our client Data & AI business across Saudi Arabia. The role will focus on developing strategic client relationships, acquiring new enterprise accounts, driving revenue growth and building technology partnerships within the Data & AI ecosystem.
The successful candidate will lead the full enterprise sales lifecycle, engaging C-suite stakeholders and positioning solutions across data engineering, cloud data platforms, data governance, analytics, AI, machine learning and Generative AI. They will also work closely with internal presales and technical teams to shape solutions that address client business challenges and deliver measurable outcomes.
8+ years of enterprise technology sales experience, with a strong track record in Data & AI.
Proven ability to achieve revenue and sales targets, win new business and grow strategic enterprise accounts.
Strong understanding of Data & AI solutions, cloud platforms, analytics, AI/ML and Generative AI.
Established relationships with C-level executives and key decision-makers across Saudi Arabia.
Experience managing complex enterprise sales cycles, commercial negotiations and strategic technology partnerships.
Exposure to sectors such as government, financial services, telecom, healthcare or education.
Strong executive communication, presentation and stakeholder management skills.
Fluency in Arabic and English is essential.
Lean Technologies
Role:About the role
As a Staff Engineer on the Credit Scoring & Underwriting squad, you'll lead the technical architecture and execution across credit insights products. That means the insights and data platform our lenders already build on, and the new products we're putting on top of it.
It's a hands-on job. You'll write production code, and you'll be the person the team pulls in when a problem is hard or badly defined. You'll also put real time into helping the engineers around you get better, through code reviews and mentoring.
About Lean
Lean is the leading financial infrastructure provider in the Middle East. We power some of the region's largest companies with APIs that enable payments, account verification, financial data access, and other critical financial infrastructure.
What started as the region's pioneering Open Banking platform and quickly became the de facto leader in account aggregation and payment initiation in the region is now becoming something bigger: a multi-product infrastructure company powering payments, data, and lending across MENA.
We've processed billions of dollars in transactions. We're trusted by 350+ clients — from Tabby and Tas'heel to Hungerstation — and backed by General Catalyst, Sequoia, and Shorooq. Our $67.5M Series B was just the beginning. We're expanding into new markets, opening offices, acquiring businesses, and building capabilities that didn't exist here before.
What you'll own
Own the architecture and technical roadmap of the insights and data platform, and pick up the problems in the squad that don't have a clear answer yet
Build new financial data products, and write a good share of the production code yourself
Keep the production APIs inside our clients' application flows in KSA and the UAE fast and reliable. When something breaks, you lead the response
Work with Product, Data Science and DevOps to plan and scale insights products for credit underwriting
Represent Lean in technical sessions with lenders, partners and regulators
Mentor engineers and set the squad's engineering standards
What we're looking for
10+ years of backend engineering, with deep Java and Spring Boot experience and several years designing and running microservices in production
You've built and run distributed, event-driven systems in production, using Kafka or something similar
Experience with data-intensive backend applications in large distributed systems
You've owned latency and availability targets in production and used tools like Prometheus and Grafana to meet them
Working knowledge of infrastructure (Kubernetes, cloud, CI/CD) and security
You use AI coding tools such as Claude Code every day, for design, coding, testing and review
You've led architecture across several services and influenced decisions without formal authority. You can explain technical risk to engineers, leadership and clients in terms each of them understands
Good product judgement. You know when to ship and when to pay down technical debt, and you move fast when it matters
Experience in fintech
ClickHouse or another analytical database at scale
Running ML in production (feature and training pipelines, model serving, monitoring)
Experience with credit risk, underwriting or lending products
Working proficiency in Python
Arabic
NB. While we think the above experience could be important, we’re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!!
Why Join us?
We’re building the financial infrastructure for MENA. Not as a slogan, as a fact.
Since 2019, we’ve become the first regulated Open Banking and Open Finance company operating across the UAE and Saudi Arabia. We’ve processed billions of dollars. We connect millions of accounts. We enable companies like Binance, Careem, and Etisalat to build products that were previously impossible in this region.
Our recent $67.5M Series B from General Catalyst and Sequoia isn’t just validation: it’s fuel. We’re expanding into new markets, launching new products, and setting the pace for what financial innovation looks like in MENA.
We solve hard problems. We move fast. We hold ourselves to a high standard. And we’re looking for people who’ve done this before to help us do it right.
If you’re motivated by building something that lasts, not just something that scales, Lean is where you need to be.
Not only do we offer competitive salaries, private healthcare, and flexible office hours, but we also insist that every member of the team hold a meaningful equity stake in the business to ensure long-term alignment. We'd love you to join us for this journey!
Lean is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
When applying for a job at Lean Technologies, we will need to collect, use and share Personal Data about you with different members of our team during the application process. This may mean transferring your data to members of the team in one of our office locations worldwide outside of the country you are in. Please refer to our Privacy Notice on our website for more information about how we may use and store your Personal Data