Urwah Admin

Gathern

<div>Drive accurate financial reporting and compliance by managing accounting operations, ensuring data integrity, and supporting financial decision-making.
 Key Accountabilities :<ul><li>
 Manage general ledger and financial records.</li><li>
Ensure accurate financial reporting and closing.</li><li>
Perform reconciliations and resolve discrepancies.</li><li>
Ensure compliance with accounting standards.</li><li>
Support audits and regulatory requirements.</li><li>
Improve accounting processes and controls.</li><li>
Collaborate with finance teams.</li></ul>
Core Behavioral Competencies
<ul><li>Strategic Vision &amp; Agility &ndash; Basic / Proficient.</li><li>
Scalable Execution &ndash; Proficient.</li><li>
Governance &amp; Ethical Conduct &ndash; Proficient.</li><li>
Stakeholder Management &ndash; Proficient.</li><li>
Customer Centricity &ndash; Basic / Proficient.</li><li>
Innovative Thinking &amp; Digital Fluency &ndash; Proficient.</li><li>
Growth Mindset &ndash; Proficient.</li><li>
People Leadership &amp; Talent Development &ndash; Basic.</li></ul>
Technical Competencies:
<ul><li>Accounting &amp; Reporting &ndash; Expert.</li><li>
Financial Reconciliation &ndash; Expert.</li><li>
Financial Controls &amp; Compliance &ndash; Proficient.</li><li>
Audit Support &ndash; Proficient.</li><li>
ERP Systems &ndash; Proficient.</li><li>
Data Accuracy &amp; Financial Integrity &ndash; Expert.</li></ul> 

Requirements 
 Education:<ul><li>
Bachelor&rsquo;s degree in Accounting, Finance, or a related field.</li></ul>
 Experience:<ul><li>
 4+ years of experience in Accounting.</li><li>
Experience in financial reporting and closing.</li><li>
Experience in reconciliations and controls.</li><li>
Experience supporting audits and compliance.</li></ul></div>

Accountant

<div>JOB PURPOSE: 
To lead and oversee Gathern&rsquo;s IT operations, infrastructure, and service delivery to ensure secure, reliable, and compliant technology environments. 
 
ACCOUNTABILITIES: 
<ul><li>
Lead IT operations activities, ensuring secure, stable, and high-performance technology environments across the organization.</li><li>
Oversee identity and access management, MFA enforcement, and Zero Trust controls across Microsoft 365 / Google Workspace and all internal applications.</li><li>
Govern and maintain ISO 27001 and NCA-ECC IT controls, documentation, and evidence to ensure readiness for internal and external audits.</li><li>
Supervise IT team members or external support providers, assigning tasks, monitoring performance, and ensuring timely service delivery.</li><li>
Direct the migration and integration of systems such as Google Workspace to Microsoft 365, ensuring data integrity and minimal downtime.</li><li>
Lead the continuous improvement of IT processes, SOPs, and service-management frameworks (incident, change, request, and asset management).</li><li>
Develop, maintain, and audit the IT asset register, license inventory, and configuration management database (CMDB).</li><li>
Ensure endpoint compliance, encryption, MDM/Intune policies, and patch management across all employee devices.</li><li>
Oversee procurement, vendor onboarding, and contract management while ensuring alignment with security and data-protection requirements.</li><li>
Conduct periodic DR testing, backup validation, and access governance reviews to ensure operational continuity and security.</li><li>
Collaborate with Engineering, Security, and Data teams to align IT operations with risk management, compliance, and business goals.</li><li>
Monitor IT security posture, infrastructure health, and control effectiveness; provide management with regular reports and insights.</li><li>
Coordinate IT-related tasks during ISO audits, penetration tests, and security assessments.</li><li>
Lead user training, onboarding sessions, and awareness programs to promote secure and effective system usage</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Information Technology, Computer Science, or related field.</li><li>
Preferred certifications: ISO 27001 Implementer/Auditor, CompTIA Security+, Microsoft 365 Administrator, or Google Workspace Admin.</li><li>
+4 years in IT operations or system administration within a security-regulated environment.</li><li>
Proven experience in supporting or implementing ISO 27001 or NCA-ECC frameworks.</li><li>
Practical knowledge of Zero Trust architecture, IAM, endpoint security, and policy enforcement.</li><li>
Familiarity with procurement and vendor security reviews.</li><li>
Knowledge of Intune, MDM, SSO, VPN, and device-compliance policies.</li><li>
Experience with SIEM/logging tools, backup systems, and patch automation.</li><li>
Understanding of network segmentation, firewalls, and identity-based access.</li></ul></div>

IT Operations Senior Specialist | Saudi Nationals

<div>JOB PURPOSE: 
Support CEO Office.
KEY ACCOUNTABILITIES:<ul><li>
Manage CEO&rsquo;s Calendar
</li><li>Track action items from CEO meetings.</li><li>
Maintain organized documentation for governance and reporting.</li><li>
Coordinate with departments to ensure timely reporting submissions.</li><li>
Ensure data accuracy and validation before reporting</li></ul> 

Requirements 
CORE BEHAVIORAL COMPETENCIES:<ul><li>
Strategic Vision &amp; Agility &ndash; Basic</li><li>
Growth Mindset &ndash; Basic</li><li>
Scalable Execution &ndash; Basic</li><li>
People Leadership &amp; Talent Development &ndash; Basic</li><li>
Governance &amp; Ethical Conduct &ndash; Basic</li><li>
Customer Centricity &ndash; Basic</li><li>
Innovative Thinking &amp; Digital Fluency &ndash; Basic</li><li>
Stakeholder Management &ndash; Basic</li></ul>
TECHNICAL COMPETENCE:<ul><li>
Microsoft Excel (Formulas, Pivot Tables, Basic Dashboards) &ndash; Proficient</li></ul><ul><li>
PowerPoint (Executive Presentation Structuring) &ndash; Proficient</li><li>
Microsoft Office / Google Workspace &ndash; Proficient</li><li>
Basic Data Analysis &amp; Reporting &ndash; Basic</li><li>
KPI Tracking &amp; Documentation &ndash; Basic</li><li>
Basic Knowledge of Power BI or Dashboard Tools &ndash; Basic</li><li>
Organizational &amp; Documentation Skills &ndash; Proficient</li></ul>
 QUALIFICATIONS:
Education:<ul><li>
Bachelor&rsquo;s degree in Business Administration, Management, Finance or related field</li></ul> 
Experience and Skills:<ul><li>
1-2 years experience</li><li>
Fluent in Arabic and English (speaking and writing)</li><li>
Very well organized with strong attention to detail</li><li>
High sense of ownership and accountability</li><li>
Strong work ethics and professionalism</li></ul></div>

CEO Planning and Excellence Specialist

<div>About us:
At Gathern, we&rsquo;re not just a platform, we&rsquo;re the homegrown Saudi success story that built and leads the alternative hospitality sector across the Kingdom. As the largest peer-to-peer vacation rental marketplace in Saudi Arabia, Gathern enables travelers to explore the country through authentic stays hosted by local residents while directly supporting Saudi Vision 2030 by boosting tourism, empowering communities, and expanding accommodation supply. 
Backed by our SAR 270 million Series B funding round led by Sanabil Investments (PIF-owned) and valuing Gathern at over SAR 1 billion! We&rsquo;re entering an exciting new chapter of growth, innovation, and regional expansion as we prepare for a future Tadawul listing. 
With 5M+ users , guests from 150+ nationalities , a network of 72,000+ hospitality units , and more than SAR 2 billion paid to 33,000+ Saudi hosts, Gathern stands as one of the fastest-growing tech companies in the Kingdom, holding a 44% national market share and 53% in Riyadh! 
This is your opportunity to join a company that&rsquo;s redefining travel and shaping the future of tourism in Saudi Arabia! 
 
We are looking for an Engineering Manager who combines strong technical expertise with excellent leadership and operational discipline. You will lead engineering teams, ensure successful delivery of complex projects, optimize processes, elevate performance, and drive technical excellence across the organization. You will play a critical role in shaping engineering culture, scaling systems, improving execution, and aligning technical initiatives with business strategy. 
Key Responsibilities:
1. Technical Leadership &amp; Delivery<ul><li>
Deliver high-quality software on schedule while maintaining strong engineering standards.
</li><li>Drive system design, architecture, and technical decision-making.
</li><li>Ensure technical excellence, innovation, scalability, and reliability across all systems.
</li><li>Implement and refine development processes, workflows, and engineering tools.
</li><li>Identify risks early, build mitigation plans, and ensure delivery continuity.
</li><li>Allocate engineering resources effectively and manage budgets.
</li><li>Improve operational efficiency through best practices and optimized workflows.
</li></ul>2. People Management &amp; Team Development<ul><li>
Build, mentor, and develop high-performing engineering teams.
</li><li>Conduct performance reviews, set measurable goals, and define success metrics.
</li><li>Establish a culture of ownership, accountability, and continuous improvement.
</li><li>Support career growth, learning, coaching, and capability development.
</li><li>Facilitate strong cross-functional collaboration with Product, QA, Cloud, and Business teams.
</li></ul>3. Operations, Governance &amp; Compliance<ul><li>
Oversee governance frameworks that ensure transparency, accountability, and alignment.
</li><li>Promote compliance with regulatory, security, and organizational requirements.
</li><li>Document and maintain best practices, processes, and operational playbooks.
</li><li>Implement reporting mechanisms to track engineering performance and progress.
</li><li>Provide timely updates on team delivery, challenges, risks, and business-impact issues.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science or a related field.
</li></ul><ul><li>8+ years of professional experience in software engineering, including leadership roles.
</li><li>Strong technical background with hands-on understanding of software development, architecture, and modern engineering practices.
</li><li>Proven people management experience: hiring, mentoring, building teams, and performance management.
</li><li>Excellent communication and collaboration with both technical and non-technical stakeholders.
</li><li>Solid experience with Agile/Scrum, project management, and engineering process improvement.
</li><li>Strategic thinking, strong problem-solving skills, and ability to align engineering with business goals.</li></ul> 

Benefits 
<ul><li>
Comprehensive medical insurance provided to support your wellbeing.</li><li>
Fast career growth in a company scaling rapidly across Saudi and the region.
</li></ul>Important Note to Applicants: 
To ensure a smooth and efficient recruitment process for everyone, we kindly ask all candidates to complete the application questions thoroughly. We review your answers carefully, as they help us understand your experience and expectations clearly from the very beginning and avoid unnecessary back-and-forth later.
Applications submitted without properly completed questions may unfortunately be deprioritized. 
Thank you for taking the time to fill them in thoughtfully.</div>

Software Engineering Manager

<div>Data Scientist: 
Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.<div> 
Key Accountabilities: 
<ul><li>Develop predictive and statistical models to support business objectives</li><li>Perform data cleaning, transformation, and feature engineering</li><li>Translate business problems into analytical frameworks</li><li>Build dashboards and data visualizations for stakeholders</li><li>Conduct exploratory data analysis (EDA) to uncover trends and insights</li><li>Collaborate with Product, Marketing, and Engineering teams</li><li>Monitor model performance and ensure continuous optimization</li></ul></div> 
Core Behavioral Competencies:<ul><li>Strategic Vision &amp; Agility &ndash; Proficient</li><li>Growth Mindset &ndash; Proficient</li><li>Scalable Execution &ndash; Proficient</li><li>People Leadership &amp; Talent Development &ndash; Basic/Proficient</li><li>Governance &amp; Ethical Conduct &ndash; Proficient</li><li>Customer Centricity &ndash; Proficient</li><li>Innovative Thinking &amp; Digital Fluency &ndash; Expert</li><li>Stakeholder Management &ndash; Proficient</li></ul><div>
Technical Competencies: 
<ul><li>Data Modeling &amp; Statistical Analysis &ndash; Proficient</li><li>Machine Learning &amp; Predictive Modeling &ndash; Proficient</li><li>Data Wrangling &amp; Feature Engineering &ndash; Proficient</li><li>Data Visualization &amp; Storytelling &ndash; Proficient</li><li>SQL &amp; Database Querying &ndash; Proficient</li><li>Python / R for Data Science &ndash; Proficient</li><li>Experimentation &amp; A/B Testing &ndash; Basic/Proficient</li><li>Model Deployment &amp; Monitoring &ndash; Basic/Proficient</li></ul></div> 
Requirements 
Education:<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.</li></ul>
 Experience:<ul><li>4&ndash;6 years in data science or advanced analytics roles</li><li>Experience building and deploying machine learning models</li><li>Experience working with large structured and unstructured datasets</li><li>Experience collaborating with cross-functional teams</li></ul></div>

Data Scientist

<div>JOB PURPOSE: 
Lead the design, development, and scaling of advanced machine learning systems that power Gathern&rsquo;s marketplace intelligence across discovery, pricing, personalization, and trust domains. The role combines deep technical expertise with strategic thinking to translate complex data into production-grade predictive and decisioning systems. Focuses on architecting scalable ML infrastructure, ensuring model robustness and reliability, and driving measurable business impact through experimentation, optimization, and cross-functional leadership 
 
KEY ACCOUNTABILITIES:<ul><li>
Architect ML systems / end-to-end pipelines / scalable and production-ready solutions</li><li>
Lead model development/pricing and ranking algorithms / improved conversion and revenue yield</li><li>
Design forecasting solutions/demand and supply models / optimized inventory and occupancy planning</li><li>
Enhance risk models/fraud detection systems / reduce cancellations and policy violations</li><li>
Establish MLOps standards/deployment and monitoring frameworks / reliable and maintainable model operations</li><li>
Drive experimentation / A/B testing and validation frameworks / data-driven product improvements</li><li>
Collaborate cross-functionally / product, engineering, and data teams / aligned metrics and business impact</li><li>
Define data strategy/feature engineering and data sourcing / improved model performance and coverage</li><li>
Ensure model governance/data quality and integrity / trusted and compliant ML systems</li><li>
Mentor team members / technical guidance and best practices / elevated team capability and output quality</li><li>
Optimize model performance/tuning and retraining strategies / sustained accuracy and efficiency</li><li>
Evaluate new approaches/algorithms and technologies / continuous innovation and competitive advantage</li><li>
Communicate insights/model performance and impact / informed stakeholder decision-making.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field</li></ul><ul><li>
5&ndash;8+ years of experience in applied machine learning, data science, or ML engineering roles</li><li>
Proven experience designing, deploying, and scaling ML systems in production environments</li><li>
Strong experience with large-scale data processing and distributed systems (e.g., Spark, Beam)</li><li>
Advanced proficiency in Python and ML frameworks such as TensorFlow or PyTorch</li><li>
Deep understanding of MLOps practices (CI/CD, model lifecycle management, feature stores, monitoring)</li><li>
Strong expertise in SQL and data engineering tools (Airflow, Kafka, DBT, etc.)</li><li>
Experience with experimentation frameworks and causal inference methods is a plus</li><li>
Strong system design and architecture skills for ML-driven products</li><li>
Excellent problem-solving skills with a strong analytical and business-oriented mindset</li><li>
Ability to lead initiatives, influence stakeholders, and mentor junior team members</li></ul></div>

Senior Machine Learning Engineer

<div>Job Purpose:
The Business Intelligence Manager owns the company&rsquo;s Business Intelligence function and is accountable for turning data into trusted insights that drive strategic and operational decisions. This role leads the activation of BI across the organization, focusing on correlation, causation, forecasting, and storytelling.The role also leads applied AI and machine learning initiatives, managing ML engineers to build, deploy, and operate production-grade, business-driven models, with clear ownership of applied MLOps practices to ensure reliability, scalability, and trust.
Key Responsibilities<ul><li>
 Lead the BI team in planning, developing, and delivering high-impact dashboards, reports, and analytics solutions</li><li>
 Business Intelligence Leadership</li></ul><ul><li>
Own the end-to-end Business Intelligence strategy and execution</li><li>
Establish BI as a core decision-support capability across the company</li><li>
Define and govern KPIs, metrics, and analytical standards</li><li>
Ensure insights consistently explain what happened, why it happened, and what to do next</li><li>
Lead executive and operational reporting and insight narratives</li></ul>
Analytics, Forecasting &amp; Insights<ul><li>
Oversee trend analysis, root-cause analysis, and correlation studies</li><li>
Drive forecasting, projections, and scenario analysis for planning and expectation-setting</li><li>
Ensure analytical outputs are explainable, assumption-driven, and decision-ready</li></ul>
Applied AI and Machine Learning Leadership<ul><li>
Lead and mentor ML engineers to design, build, and deploy applied machine learning models</li><li>
Own the applied ML and MLOps roadmap, aligned with BI and business priorities</li><li>
Guide the development of models such as:</li><li><ul><li>
Recommendation and pattern discovery models</li><li>
Anomaly detection</li></ul></li><li>
Define and enforce MLOps standards, including:</li><li>
Model versioning and lifecycle management</li><li>
Deployment and rollback strategies</li><li>
Monitoring model performance, drift, and data quality</li><li>
Retraining and validation processes</li><li>
Ensure ML models are:</li><li>
Business-driven and use-case oriented</li><li>
Explainable and interpretable</li><li>
Observable and maintainable in production</li><li>
Cross-Functional Leadership</li><li>
Act as the intelligence partner for Product, Finance, Operations, and Engineering</li><li>
Work closely with Data Engineering, Backend Engineering, and Platform teams to operationalize insights and ML models</li></ul>
Technical &amp; Analytical Requirements<ul><li>
Strong understanding of Business Intelligence and analytics practices</li><li>
Hands-on experience with BI tools (Power BI preferred)</li><li>
Strong analytical foundation, including:</li><li><ul><li>
Correlation vs causation</li><li>
Forecasting and scenario modeling</li><li>
Root-cause analysis</li></ul></li><li>
Solid understanding of data warehousing concepts (BigQuery preferred)</li><li>
Working knowledge of applied machine learning, including:</li><li><ul><li>
Supervised and unsupervised learning approaches</li><li>
Feature engineering and model evaluation</li><li>
Model explainability techniques</li></ul></li><li>
Working knowledge of MLOps concepts, including:</li><li><ul><li>
Model deployment and lifecycle management</li><li>
Monitoring for performance degradation and data drift</li><li>
Retraining strategies and validation workflows</li><li>
Collaboration with engineering teams on CI/CD and production readiness</li></ul></li><li>
Ability to guide ML engineers on both modeling and operationalization, without acting as a research data scientist</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field..</li><li>
5+ years of experience in business intelligence, data analytics, or data management.</li><li>
Applied ML models are deployed, monitored, and reliably operated in production</li><li>
MLOps practices ensure models remain accurate, observable, and trusted over time</li><li>
ML outputs are explainable and confidently used by business stakeholders</li><li>
BI remains the starting point for decisions, with ML and MLOps extending insight into action</li></ul></div>

BI Manager

Join Gathern and explore 7   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.