Embedded Systems Engineer Jobs in Jordan
2802 Jobs Found
<p>We are looking for a Data Scientist & Data QA Engineer to join our team to ensure the quality, reliability, and performance of our data, AI, and machine learning solutions. This role is ideal for someone who enjoys working with data, solving complex problems, automating quality checks, and improving the reliability of AI-driven products.</p><p><strong>Responsibilities:</strong></p><ul><li><strong>Data & QA:</strong> Design and execute data quality checks; validate data for accuracy, completeness, and consistency; perform source-to-target validation and reconciliation; use SQL and Python to investigate anomalies; develop automated testing frameworks; and support regression testing for production data and ML solutions.</li><li><strong>AI & Machine Learning:</strong> Evaluate AI/ML models against business requirements; analyze outputs for inconsistencies; and support testing for model performance, data drift, bias, and reliability alongside Data Scientists and ML Engineers.</li><li><strong>Generative AI, LLM & RAG Validation:</strong> Support the quality of GenAI, LLM, and RAG applications; test responses for accuracy and factuality; identify hallucinations and bias; perform prompt and scenario-based testing; and develop test data for continuous quality monitoring.</li><li><strong>Collaboration:</strong> Partner with Data Scientists, Data, ML, and Software Engineers, and Product teams to define quality standards, test strategies, and acceptance criteria while performing root-cause analysis on defects.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.</li><li>Experience in one or more of the following: Data QA, Data Science, Data Engineering, Machine Learning, or AI/ML Testing.</li><li>Strong Python and SQL programming skills.</li><li>Experience with automated testing, preferably PyTest or similar frameworks.</li><li>Solid understanding of data quality concepts and machine learning fundamentals.</li><li>Strong knowledge of prompt engineering and experience designing and evaluating prompts for AI/LLM applications.</li><li>Working knowledge of MCP (Model Context Protocol) servers and how they integrate with AI/LLM applications.</li><li>Experience working with skills files / AI agent configuration and instruction files and understanding how they are used to guide AI workflows.</li><li>Hands-on experience with Claude Code or similar AI-assisted development tools.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Hands-on experience with Generative AI, LLM applications, RAG architecture, and AI evaluation frameworks such as Ragas, TruLens, or DeepEval .</li><li>Familiarity with LLM platforms such as OpenAI, Anthropic, and Llama , as well as concepts such as data/model drift and bias monitoring.</li><li>Experience with cloud platforms such as AWS, Azure, or GCP and CI/CD processes.</li></ul>
<p><br></p>
<p> </p>
<p> <strong>About the Role</strong> </p>
<p>We are looking for a Data Scientist & Data QA Engineer to join our team to ensure the quality, reliability, and performance of our data, AI, and machine learning solutions. This role is ideal for someone who enjoys working with data, solving complex problems, automating quality checks, and improving the reliability of AI-driven products.</p>
<p> </p>
<p> <strong>Responsibilities:</strong> </p>
<ul>
<li>Data & QA: Design and execute data quality checks; validate data for accuracy, completeness, and consistency; perform source-to-target validation and reconciliation; use SQL and Python to investigate anomalies; develop automated testing frameworks; and support regression testing for production data and ML solutions.</li>
<li>AI & Machine Learning: Evaluate AI/ML models against business requirements; analyze outputs for inconsistencies; and support testing for model performance, data drift, bias, and reliability alongside Data Scientists and ML Engineers.</li>
<li>Generative AI, LLM & RAG Validation: Support the quality of GenAI, LLM, and RAG applications; test responses for accuracy and factuality; identify hallucinations and bias; perform prompt and scenario-based testing; and develop test data for continuous quality monitoring.</li>
<li>Collaboration: Partner with Data Scientists, Data, ML, and Software Engineers, and Product teams to define quality standards, test strategies, and acceptance criteria while performing root-cause analysis on defects.</li>
</ul>
<p> </p>
<p> <strong>Profile Requirements:</strong> </p>
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.</li>
<li>Experience in one or more of the following: Data QA, Data Science, Data Engineering, Machine Learning, or AI/ML Testing.</li>
<li>Strong Python and SQL programming skills.</li>
<li>Experience with automated testing, preferably PyTest or similar frameworks.</li>
<li>Solid understanding of data quality concepts and machine learning fundamentals.</li>
<li>Strong knowledge of prompt engineering and experience designing and evaluating prompts for AI/LLM applications.</li>
<li>Working knowledge of MCP (Model Context Protocol) servers and how they integrate with AI/LLM applications.</li>
<li>Experience working with skills files / AI agent configuration and instruction files and understanding how they are used to guide AI workflows.</li>
<li>Hands-on experience with Claude Code or similar AI-assisted development tools.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Preferred Qualifications</li>
<li>Hands-on experience with Generative AI, LLM applications, RAG architecture, and AI evaluation frameworks such as <strong>Ragas, TruLens, or DeepEval</strong>.</li>
<li>Familiarity with LLM platforms such as <strong>OpenAI, Anthropic, and Llama</strong>, as well as concepts such as data/model drift and bias monitoring.</li>
<li>Experience with cloud platforms such as <strong>AWS, Azure, or GCP</strong> and CI/CD processes.</li>
</ul>
<p> </p>
<p><br></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><strong><u>About the job</u></strong></p>
Royal Jordanian is seeking a <strong>Ground Support Equipment (GSE) Engineer</strong> responsible for supporting the maintenance, monitoring, and reliability of Ground Support Equipment. The role focuses on ensuring equipment availability, troubleshooting technical issues, and coordinating maintenance activities in line with company and manufacturer standards
<p> </p>
<p><strong><u>Duties & Responsibilities:</u></strong></p>
<ul>
<li>Monitor the operational and technical status of Ground Support Equipment (GSE) and maintain accurate maintenance records and technical history.</li>
<li>Plan, coordinate, and follow up on maintenance activities to ensure maximum equipment availability and minimum downtime.</li>
<li>Troubleshoot and diagnose mechanical, electrical, hydraulic, and pneumatic system malfunctions using manufacturer manuals and technical documentation.</li>
<li>Monitor GSE fleet repair progress and prepare periodic status reports for equipment under maintenance.</li>
<li>Record and track non-routine maintenance activities, deferred repairs, and corrective actions.</li>
<li>Review, update, and maintain maintenance tasks, work orders, and technical documentation within the TRAX system.</li>
<li>Coordinate with maintenance teams and relevant stakeholders to ensure timely completion of maintenance activities.</li>
<li>Prepare spare parts requirements, initiate requisitions, follow up on orders, and support inventory planning activities.</li>
<li>Ensure the availability of maintenance tools, service supplies, and materials required for planned and corrective maintenance activities.</li>
<li>Conduct Root Cause Analysis (RCA) for recurring equipment failures and recommend corrective actions.</li>
<li>Monitor compliance with manufacturer recommendations, maintenance procedures, and Royal Jordanian safety requirements.</li>
<li>Support preventive maintenance programs by ensuring the proper selection and use of lubricants, coolants, filters, and other maintenance consumables.</li>
<li>Maintain maintenance documentation, service agreements, technical reports, and related records.</li>
<li>Support technical training and on-the-job development initiatives for maintenance personnel.</li>
<li>Report technical issues, safety concerns, incidents, and operational risks to management as required</li>
</ul> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p><strong><u>Knowledge & Skills Required:</u></strong></p>
<ul>
<li>Strong communication skills in both written and spoken English.</li>
<li>Knowledge of maintenance planning, troubleshooting, and repair processes related to Ground Support Equipment.</li>
<li>Ability to read and interpret technical manuals, engineering drawings, hydraulic schematics, pneumatic diagrams, and electrical diagrams.</li>
<li>Knowledge of spare parts planning, inventory coordination, and maintenance documentation control.</li>
<li>Strong analytical, problem-solving, and decision-making skills.</li>
<li>Ability to prioritize tasks and coordinate multiple activities in a dynamic operational environment.</li>
<li>Strong teamwork and interpersonal skills.</li>
</ul>
<p><strong><u>Qualifications:</u></strong></p>
<ul>
<li>Bachelor's degree in mechanical engineering or any related field</li>
<li>Minimum of 2 years of relevant experience in maintenance, engineering, or Ground Support Equipment operations</li>
</ul>
<p> </p>
<p><u>Only candidates under consideration will be contacted.</u></p>
</div>
<p><h4>Description<\/h4>\n<p>This role combines cloud engineering, automation, CI\/CD, and operational excellence across Microsoft Azure and Amazon Web Services (AWS). The engineer designs, builds, and maintains scalable, secure, and automated cloud environments while enabling continuous delivery and high-velocity software deployment.<\/p>\n\n<h4>Key responsibilities:<\/h4>\n<p><strong>Cloud infrastructure engineering (Azure + AWS):<\/strong><br>\nArchitect, deploy, and manage cloud environments using Azure and AWS core services.<br>\nImplement infrastructure as code using Terraform, ARM templates, and AWS CloudFormation.<br>\nOptimize performance, cost, and reliability across multi-cloud environments.<br>\nImplement monitoring and observability using Azure Monitor, CloudWatch, and application performance monitoring tools.<\/p>\n\n<p><strong>DevOps, CI\/CD & automation:<\/strong><br>\nBuild and maintain CI\/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and AWS CodePipeline, CodeBuild, and CodeDeploy.<br>\nAutomate deployments, testing, and configuration management using Ansible, Terraform, and scripting languages.<\/p>\n\n<p><strong>Containers & orchestration:<\/strong><br>\nDeploy and manage containerized applications using Docker and Kubernetes (AKS\/EKS).<br>\nImplement microservices architectures and automated container pipelines.<\/p>\n\n<p><strong>Security, compliance & reliability:<\/strong><br>\nApply cloud security best practices across Azure and AWS IAM, secrets management, and network security.<br>\nSupport disaster recovery, backup strategies, and high-availability architectures.<br>\nImplement DevSecOps practices and compliance controls.<\/p>\n\n<p><strong>Collaboration & documentation:<\/strong><br>\nWork closely with development, QA, and operations teams to streamline delivery.<br>\nDocument cloud architectures, pipelines, and operational procedures.<\/p>\n\n<h4>Requirements<\/h4>\n<ul>\n<li>7-10 years of experience.<\/li>\n<li>Multi-cloud mastery: Expert-level architecting and deployment across both Microsoft Azure and AWS core services.<\/li>\n<li>Infrastructure as code and automation: Advanced proficiency in Terraform, Ansible, ARM templates, and CloudFormation to ensure environment consistency.<\/li>\n<li>DevOps and CI\/CD: Deep expertise in building robust pipelines using Azure DevOps, GitHub Actions, and AWS-native tools such as CodePipeline and CodeBuild.<\/li>\n<li>Orchestration: Hands-on experience managing containerized microservices via Docker and Kubernetes (AKS\/EKS).<\/li>\n<\/ul>\n\n<h4>Benefits<\/h4>\n<p>This is a 3-month, full-time onsite engagement offering a premium experience for the right consultant:<\/p>\n<ul>\n<li>Global mobility: Full coverage of visa costs and airline tickets (round trip).<\/li>\n<li>Premium stay: High-quality accommodation provided for the duration of the project in Saudi Arabia.<\/li>\n<li>Prestigious portfolio: The opportunity to add a \"Giga-Project\" to your professional record, working alongside top-tier industry leaders.<\/li>\n<li>High impact: A fast-paced, 3-month sprint where your decisions directly shape the technical infrastructure of a historic landmark.<\/li>\n<\/ul><\/p><p><\/p>
<p><h4>Description<\/h4>\n<p>This role combines cloud engineering, automation, CI\/CD, and operational excellence across Microsoft Azure and Amazon Web Services (AWS). The engineer designs, builds, and maintains scalable, secure, and automated cloud environments while enabling continuous delivery and high-velocity software deployment.<\/p>\n\n<h4>Key responsibilities:<\/h4>\n<p><strong>Cloud infrastructure engineering (Azure + AWS):<\/strong><br>\nArchitect, deploy, and manage cloud environments using Azure and AWS core services.<br>\nImplement infrastructure as code using Terraform, ARM templates, and AWS CloudFormation.<br>\nOptimize performance, cost, and reliability across multi-cloud environments.<br>\nImplement monitoring and observability using Azure Monitor, CloudWatch, and application performance monitoring tools.<\/p>\n\n<p><strong>DevOps, CI\/CD & automation:<\/strong><br>\nBuild and maintain CI\/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, and AWS CodePipeline, CodeBuild, and CodeDeploy.<br>\nAutomate deployments, testing, and configuration management using Ansible, Terraform, and scripting languages.<\/p>\n\n<p><strong>Containers & orchestration:<\/strong><br>\nDeploy and manage containerized applications using Docker and Kubernetes (AKS\/EKS).<br>\nImplement microservices architectures and automated container pipelines.<\/p>\n\n<p><strong>Security, compliance & reliability:<\/strong><br>\nApply cloud security best practices across Azure and AWS IAM, secrets management, and network security.<br>\nSupport disaster recovery, backup strategies, and high-availability architectures.<br>\nImplement DevSecOps practices and compliance controls.<\/p>\n\n<p><strong>Collaboration & documentation:<\/strong><br>\nWork closely with development, QA, and operations teams to streamline delivery.<br>\nDocument cloud architectures, pipelines, and operational procedures.<\/p>\n\n<h4>Requirements<\/h4>\n<ul>\n<li>7-10 years of experience.<\/li>\n<li>Multi-cloud mastery: Expert-level architecting and deployment across both Microsoft Azure and AWS core services.<\/li>\n<li>Infrastructure as code and automation: Advanced proficiency in Terraform, Ansible, ARM templates, and CloudFormation to ensure environment consistency.<\/li>\n<li>DevOps and CI\/CD: Deep expertise in building robust pipelines using Azure DevOps, GitHub Actions, and AWS-native tools such as CodePipeline and CodeBuild.<\/li>\n<li>Orchestration: Hands-on experience managing containerized microservices via Docker and Kubernetes (AKS\/EKS).<\/li>\n<\/ul>\n\n<h4>Benefits<\/h4>\n<p>This is a 3-month, full-time onsite engagement offering a premium experience for the right consultant:<\/p>\n<ul>\n<li>Global mobility: Full coverage of visa costs and airline tickets (round trip).<\/li>\n<li>Premium stay: High-quality accommodation provided for the duration of the project in Saudi Arabia.<\/li>\n<li>Prestigious portfolio: The opportunity to add a \"Giga-Project\" to your professional record, working alongside top-tier industry leaders.<\/li>\n<li>High impact: A fast-paced, 3-month sprint where your decisions directly shape the technical infrastructure of a historic landmark.<\/li>\n<\/ul><\/p><p><\/p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>We are seeking an experienced HPC (High-Performance Computing) System Engineer to design, implement, and manage cutting-edge HPC infrastructure using Dell servers, AMD GPUs (MI210), and Pure Storage systems. The ideal candidate will have expertise in Commvault backup systems, Kubernetes container orchestration, and multitenancy configurations, ensuring scalable, GPU-accelerated, and high-performance solutions tailored to enterprise and HPC workloads.</p><p><br></p><p>Key Responsibilities:</p><p>• Dell Servers:</p><p>• Architect and deploy HPC systems using Dell PowerEdge servers, ensuring high availability and optimized performance for compute-intensive applications.</p><p>• Manage server hardware lifecycle, including deployment, upgrades, and diagnostics.</p><p>• Configure HPC cluster nodes for seamless integration with Kubernetes and GPU workloads.</p><p>• AMD GPUs (MI210):</p><p>• Deploy and optimize AMD GPU-based servers to accelerate AI/ML, HPC, and data-intensive applications.</p><p>• Monitor GPU utilization, troubleshoot performance bottlenecks, and optimize workloads for GPU acceleration.</p><p>• Integrate GPUs into Kubernetes environments for containerized GPU-based applications.</p><p>Pure Storage:</p><p>• Design and manage Pure Storage solutions, including FlashBlade, to support HPC and data-intensive workloads.</p><p>• Implement multitenancy configurations for isolated, secure, and efficient resource utilization.</p><p>• Monitor storage health and ensure performance optimization for high-speed data access.</p><p>• Commvault Backup:</p><p>• Architect and manage enterprise-wide Commvault backup solutions, ensuring data integrity and readiness for disaster recovery.</p><p>• Implement backup and retention policies for HPC environments, including containerized and GPU-accelerated workloads.</p><p>Kubernetes Container Management:</p><p>• Deploy and manage Kubernetes clusters for HPC applications, ensuring scalability and fault tolerance.</p><p>• Configure persistent storage for containerized workloads and integrate storage with GPUs for high-performance data processing.</p><p>• Monitor cluster performance and troubleshoot HPC-specific Kubernetes challenges.</p><p>• System Optimization and Monitoring:</p><p>• Implement advanced monitoring solutions for servers, GPUs, storage, and Kubernetes clusters to ensure peak performance.</p><p>• Develop and enforce policies for system security, resource allocation, and compliance with industry standards.</p><p>• Lead capacity planning and scaling initiatives for HPC infrastructure.</p><p>Team Leadership and Collaboration:</p><p>• Mentor and guide junior engineers on HPC best practices, system design, and troubleshooting techniques.</p><p>• Collaborate with cross-functional teams, including data scientists and DevOps, to align infrastructure capabilities with organizational goals.</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p>Qualifications:</p><p>• Technical Skills:</p><p>• Extensive experience with Dell PowerEdge servers in HPC or enterprise environments.</p><p>• Proven expertise in AMD GPUs (MI210), including their integration and optimization for AI/ML and HPC workloads.</p><p>• Advanced knowledge of Pure Storage systems, including multitenancy and high-performance configurations.</p><p>• Expertise in Commvault backup systems, including design, deployment, and disaster recovery.</p><p>• Strong proficiency in Kubernetes container orchestration, particularly for GPU-accelerated applications.</p><p>• Knowledge of high-performance interconnects (e.g., RDMA, InfiniBand) and networking for HPC.</p><p><br></p><p>Soft Skills:</p><p>• Strong problem-solving and analytical skills for addressing HPC-specific challenges.</p><p>• Effective communication and collaboration skills for technical and non-technical stakeholders.</p><p>• Leadership skills for mentoring and guiding junior team members.</p><p>Preferred Qualifications:</p><p>• Certifications in Dell EMC Proven Professional, AMD GPUs, Pure Storage, and Commvault.</p></div>
<p><h4>Description</h4>
<p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br>
You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p>
<h4>Requirements</h4>
<h4>What you'll do</h4>
<ul>
<li>Validate data displayed across dashboards, reports, web, and mobile applications</li>
<li>Reconcile source data, transformed datasets, and final analytical outputs</li>
<li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li>
<li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li>
<li>Validate business rules and ensure reported figures align with approved definitions</li>
<li>Identify data discrepancies and investigate inconsistencies before release</li>
<li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li>
<li>Act as the quality gate before dashboards and reports are released to end users</li>
<li>Log, track, and support the resolution of data quality issues</li>
<li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li>
<li>Maintain documentation for reconciliation rules, report logic, and validation processes</li>
<li>Contribute to improving reporting standards, validation checklists, and quality practices</li>
</ul>
<h4>You're our match if you have</h4>
<ul>
<li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li>
<li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li>
<li>Strong SQL skills for data validation, reconciliation, and comparison</li>
<li>Experience working with Power BI, Tableau, or similar reporting platforms</li>
<li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li>
<li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li>
<li>Excellent analytical skills with exceptional attention to detail</li>
<li>Ability to communicate data issues clearly to both technical and business stakeholders</li>
<li>Strong sense of ownership and commitment to data accuracy</li>
</ul>
<h4>Bonus points if you have experience with</h4>
<ul>
<li>Validating analytics for web or mobile applications</li>
<li>Government or enterprise reporting environments</li>
<li>Data governance, reporting standards, or data quality frameworks</li>
<li>Supporting executive-level reporting</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br>
You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p>
<h4>Requirements</h4>
<h4>What you'll do</h4>
<ul>
<li>Validate data displayed across dashboards, reports, web, and mobile applications</li>
<li>Reconcile source data, transformed datasets, and final analytical outputs</li>
<li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li>
<li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li>
<li>Validate business rules and ensure reported figures align with approved definitions</li>
<li>Identify data discrepancies and investigate inconsistencies before release</li>
<li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li>
<li>Act as the quality gate before dashboards and reports are released to end users</li>
<li>Log, track, and support the resolution of data quality issues</li>
<li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li>
<li>Maintain documentation for reconciliation rules, report logic, and validation processes</li>
<li>Contribute to improving reporting standards, validation checklists, and quality practices</li>
</ul>
<h4>You're our match if you have</h4>
<ul>
<li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li>
<li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li>
<li>Strong SQL skills for data validation, reconciliation, and comparison</li>
<li>Experience working with Power BI, Tableau, or similar reporting platforms</li>
<li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li>
<li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li>
<li>Excellent analytical skills with exceptional attention to detail</li>
<li>Ability to communicate data issues clearly to both technical and business stakeholders</li>
<li>Strong sense of ownership and commitment to data accuracy</li>
</ul>
<h4>Bonus points if you have experience with</h4>
<ul>
<li>Validating analytics for web or mobile applications</li>
<li>Government or enterprise reporting environments</li>
<li>Data governance, reporting standards, or data quality frameworks</li>
<li>Supporting executive-level reporting</li>
</ul></p><p></p>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We're looking for a hands-on Data Quality Analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br> You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions.<br> Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.<br> What You'll Do ❏ Validate data displayed across dashboards, reports, web, and mobile applications ❏ Reconcile source data, transformed datasets, and final analytical outputs ❏ Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports ❏ Ensure consistency of metrics across multiple dashboards and reporting platforms ❏ Validate business rules and ensure reported figures align with approved definitions ❏ Identify data discrepancies and investigate inconsistencies before release ❏ Support User Acceptance Testing (UAT) for dashboards, reports, chatbots, and other analytical products ❏ Act as the quality gate before dashboards and reports are released to end users ❏ Log, track, and support the resolution of data quality issues ❏ Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues ❏ Maintain documentation for reconciliation rules, report logic, and validation processes ❏ Contribute to improving reporting standards, validation checklists, and quality practices You're Our Match If You Have ❏ 3–5 years of experience in Data Quality, Business Intelligence, Analytics, or Reporting Assurance ❏ Hands-on experience validating dashboards, reports, or business intelligence solutions ❏ Strong SQL skills for data validation, reconciliation, and comparison ❏ Experience working with Power BI, Tableau, or similar reporting platforms ❏ Strong understanding of KPIs, metrics, business rules, and calculation logic ❏ Experience working with enterprise data sources such as ERP, CRM, or HCM systems ❏ Excellent analytical skills with exceptional attention to detail ❏ Ability to communicate data issues clearly to both technical and business stakeholders ❏ Strong sense of ownership and commitment to data accuracy Bonus Points If You Have Experience With ❏ Validating analytics for web or mobile applications ❏ Government or enterprise reporting environments ❏ Data governance, reporting standards, or data quality frameworks ❏ Supporting executive-level reporting</span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>About the Role:</p><p>We re seeking an experienced data scientists to deliver insights and act as the hands on modeling lead on client engagements. You will slice and dice data using various methods and create new visions for the future. You ll frame problems, engineer features, build and deploy models, and monitor them in production to support the customer value creation activities. You will ship models that run at scale, withstand audit, and clearly link to incremental business value. While mining, interpreting, and cleaning the data, you will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data s full potential. The ideal candidate will have mathematical and statistical expertise, extensive programming experience in multiple languages along with natural curiosity and a creative mind.</p><p>Core Responsibilities:</p><p>Problem Framing & Target Definition:</p><ul><li>Translate commercial goals into modeling problems (e.g., churn, propensity to buy, uplift, LTV, survival/tenure) with clear success metrics and guardrails</li><li>Identify relevant data sources to mine for client business needs, and collect large structured and unstructured datasets and variables</li></ul><p>Data Analysis:</p><ul><li>Serve as data strategist to identify and integrate new datasets and execute analytical experiments to help solve problems across various domains and industries</li><li>Devise and utilize algorithms and models to mine data, perform data and error analysis to improve models, clean and validate data for uniformity and accuracy</li><li>Analyze data for trends and patterns, and interpret data with clear objectives in mind</li></ul><p>Model Development:</p><ul><li>Create reproducible pipelines and a feature registry to calculate model inputs</li><li>Develop and evaluate churn, cross/upsell propensity, uplift/treatment effect, LTV, ranking/NBA models and select algorithms fit for data, scale, and explainability</li><li>Use clear control/holdouts, quantify precision vs. recall, calibration, and profit curves, simulate outcomes and set practical thresholds and simple policies (eligibility, suppressions, frequency caps)</li></ul><p>Operationalization:</p><ul><li>Implement analytical models in production by collaborating with software developers and machine-learning engineers</li><li>Implement scoring and integrate outputs with client MarTech/decisioning for SMS, email, in app, IVR, and agent assist</li><li>Set up monitoring (performance, drift, calibration, data quality), alerting, and retrain cadence with rollback criteria</li></ul><p>Governance, Risk & Explainability:</p><ul><li>Produce model cards, document features/exclusions, and run proportionate explainability/fairness checks for regulated contexts and maintain audit ready artifacts</li></ul><p>Enablement & Acceleration:</p><ul><li>Create templates, reusable code, and quick start notebooks, /coach client analysts on model usage and monitoring</li><li>Contribute to practice POVs/case studies as needed</li></ul><p>What we look for</p><p>Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident team player that collaborates with people from various teams while looking to develop your career in a dynamic organization.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3 to 6 years of hands-on experience in applied data science with proficiency in data mining, mathematics, and statistical analysis</li><li>Experience either in an in house data science role at a leading industry player or in a consulting company AI & Advanced Analytics team with multi industry exposure</li><li>Structured problem solver with strong client facilitation skills and executive storytelling ability (able to translate technical findings into clear commercial recommendations)</li><li>Advanced experience in pattern recognition and predictive modeling</li><li>Ability to work with multiple programming languages and datamining tools</li><li>Able to work effectively in a dynamic, research-oriented group that has several concurrent projects</li><li>Bachelor s degree in the field of computer science is preferred (not mandatory)</li></ul><p>Technical Expertise:</p><ul><li>Data platforms: Azure Synapse/Databricks, Google BigQuery, Snowflake, or Amazon Redshift</li><li>Languages: SQL, Python, R and SAS</li><li>BI/Reporting (any): Power BI, Tableau</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><br></p><p><b>ROLE PURPOSE</b></p><p>The Impact and Research Manager provides strategic and technical leadership across all Monitoring, Evaluation, Research and Learning (MERL) functions at Plan International Jordan. The post holder ensures that evidence generation, impact measurement, and learning systematically inform programme quality, resource allocation, and organisational decision-making. The role has three interconnected areas of strategic focus:</p><ul><li>Research leadership: designing and managing rigorous research initiatives that generate credible evidence to inform programming and advocacy work.</li><li>Impact measurement: developing and implementing robust frameworks to assess the depth, breadth, and sustainability of programme results at beneficiary and systems levels.</li><li>Country strategy monitoring: ensuring systematic, real-time tracking of progress against country strategy objectives and enabling timely course corrections.</li></ul><p>Dimensions of the Role</p><ul><li>Reports to the Head of Programme and Strategy (HoPS) and is a member of the broader Programme team.</li><li>Directly supervises MERL team</li><li>Works closely with the Programmes Managers, Project Managers, Head of Operations and Finance</li></ul><p>Accountabilities</p><ol><li>Programme Design and Monitoring</li></ol><p>The post holder leads the design of high-quality Monitoring and Evaluation (M&E) frameworks for all development and humanitarian projects, ensuring MERL considerations including data requirements, evaluation design, and research opportunities are built into proposals from inception. This includes:</p><ul><li>Developing comprehensive project M&E frameworks (indicator matrix, indicator tracker, MERL activity plan, and Theory of Change) and ensuring alignment between project-level frameworks and the country strategy.</li><li>Leading participatory, gender-transformative, and inclusive data collection approaches including qualitative and quantitative tools with appropriate data quality assurance (DQA) processes at all stages.</li><li>Promoting effective use of the MERL database (PMERL) and global M&E IT systems for data collection, storage, analysis, reporting, and aggregation across all levels.</li></ul><ol start="2"><li>Country Strategy Monitoring</li></ol><p>The post holder is responsible for translating the country strategy into a live, measurable system that enables adaptive management by senior leadership. This includes:</p><ul><li>Designing and maintaining the Country Strategy MERL Framework, including a strategic results dashboard and scorecard that provides the CMT with a consolidated, real-time view of strategic performance on a quarterly basis.</li><li>Establishing and maintaining a country-level Theory of Change, ensuring all project theories of change are aligned with and contribute to country strategy outcomes.</li><li>Coordinating the annual country strategy review process aggregating project-level results, analysing contribution to strategic objectives, and producing a strategic progress report.</li><li>Monitoring the operating context to identify shifts that may affect the feasibility or relevance of country strategy objectives, and presenting findings quarterly to the E-CMT.</li><li>Ensuring all strategy monitoring data is disaggregated by sex, age, disability, and geographic location to track equity and inclusion in strategic outcomes.</li></ul><ol start="3"><li>Programme Impact Measurement</li></ol><p>The post holder leads Plan Jordan's approach to understanding and communicating the depth and sustainability of programme change. This includes:</p><ul><li>Developing and leading Plan Jordan's Programme Impact Measurement Framework, establishing standardised methodologies for assessing short-term, intermediate, and long-term impact across all thematic areas (protection, education, livelihoods, and others).</li><li>Designing and implementing participatory impact assessment methodologies such as Outcome Harvesting and Most Significant Change (MSC) to capture unanticipated and transformative change at community and systems levels.</li><li>Building and maintaining a programme-wide results database that enables cross-project analysis of reach and depth of change, and producing an annual consolidated impact report for the Country Director, donors, and Plan International's regional hub.</li><li>Leading impact communication: developing evidence briefs, dashboards, and visual summaries that make impact data accessible to non-technical audiences including communities, partners, and donors.</li></ul><ol start="4"><li>Research and Evidence Generation</li></ol><p>The post holder leads Plan Jordan's research function, ensuring evidence generation is rigorous, ethical, and actionable. This includes:</p><ul><li><br></li></ul><p><b>Essential</b></p><ul><li>Bachelor's degree (BA) in Statistics, Research Methods, Strategic Planning, Development, Social Studies, or a related field; a postgraduate degree in research, monitoring and evaluation, or a related discipline is strongly preferred.</li><li>5 - 7 years of relevant working experience in MERL, with at least 2 years in a management or senior technical role within an international non-governmental organisation (INGO) or similar institution.</li><li>Demonstrated experience leading primary research studies including mixed-methods, RCT, and quasi-experimental designs and managing country-level or programme-level impact measurement systems.</li><li>Experience leading or contributing to country strategy MERL framework development, with a track record of translating strategic objectives into measurable indicators and monitoring systems.</li><li>Knowledge of data management, quality control, validation processes, data privacy standards, and research ethics frameworks including IRB processes.</li></ul><p>Desirable</p><ul><li>Strong strategic thinking, analytical, and problem-solving skills; ability to work effectively in a multidisciplinary and multicultural environment.</li><li>Proficiency in statistical and research software (e.g., SPSS, STATA) and data visualisation tools (e.g., Power BI, Tableau) to produce strategic dashboards and impact reports for senior management and donors.</li><li>Ability to analyse, synthesise, and translate complex research findings into accessible evidence briefs, policy papers, and visual summaries for diverse audiences.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b>Essential</b></p><ul><li>Bachelor's degree (BA) in Statistics, Research Methods, Strategic Planning, Development, Social Studies, or a related field; a postgraduate degree in research, monitoring and evaluation, or a related discipline is strongly preferred.</li><li>5 - 7 years of relevant working experience in MERL, with at least 2 years in a management or senior technical role within an international non-governmental organisation (INGO) or similar institution.</li><li>Demonstrated experience leading primary research studies including mixed-methods, RCT, and quasi-experimental designs and managing country-level or programme-level impact measurement systems.</li><li>Experience leading or contributing to country strategy MERL framework development, with a track record of translating strategic objectives into measurable indicators and monitoring systems.</li><li>Knowledge of data management, quality control, validation processes, data privacy standards, and research ethics frameworks including IRB processes.</li></ul><p>Desirable</p><ul><li>Strong strategic thinking, analytical, and problem-solving skills; ability to work effectively in a multidisciplinary and multicultural environment.</li><li>Proficiency in statistical and research software (e.g., SPSS, STATA) and data visualisation tools (e.g., Power BI, Tableau) to produce strategic dashboards and impact reports for senior management and donors.</li><li>Ability to analyse, synthesise, and translate complex research findings into accessible evidence briefs, policy papers, and visual summaries for diverse audiences.</li><li>Strong team-building, facilitation, and influencing skills; able to champion evidence-based decision-making across departments and proactively identify opportunities to use research and impact data for policy influence.</li><li>Intellectual curiosity and comfort with ambiguity; able to navigate iterative learning in dynamic humanitarian and development contexts.</li></ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><u><b>Job Summary</b></u>
<br></span><p>The Senior Procurement Engineer is responsible for the procurement or purchasing of technical goods and services of operation. Evaluates new and existing suppliers and negotiate purchase agreements with them. This position ensures that purchased goods and services are delivered in a timely manner.</p><br>
<br><br><u><b>Job Responsibilities 1</b></u>
<br><p>Develop and implement procurement strategies to support project objectives, cost targets, and quality requirements.</p><br>
<p>Collaborate with project managers, engineers, and stakeholders to understand project specifications and procurement needs.</p><br>
<p>Source and evaluate potential suppliers, conducting market research and supplier assessments to identify qualified vendors.</p><br>
<p>Negotiate contracts, terms, and pricing agreements with suppliers to achieve cost savings and ensure delivery of quality materials and equipment.</p><br>
<p>Review technical specifications and drawings to ensure alignment with project requirements and engineering standards.</p><br>
<p>Manage the procurement process from requisition to delivery, including issuing purchase orders, tracking shipments, and resolving delivery issues.</p><br>
<p>Monitor supplier performance, conducting regular audits and evaluations to assess compliance with contract terms and quality standards.</p><br>
<p>Identify opportunities for process improvements and cost savings in procurement operations, implementing best practices and efficiency measures.</p><br>
<p>Provide guidance and support to junior procurement staff, mentoring them on procurement processes, supplier management, and negotiation tactics.</p><br>
<p>Maintain accurate procurement records and documentation, ensuring compliance with organizational policies, procedures, and regulatory requirements.</p><br>
<p>Support the implementation of HSE initiatives, participate in safety awareness activities, and contribute to incident reporting and resolution in alignment with company and IMS policies</p><br> <br><br><u><b>Job Responsibilities 2</b></u>
<br><br><b>Additional Responsibilities 3</b>
<br><br><u><b>Job Knowledge & Skills</b></u>
<br><p>Proficiency in procurement processes, including sourcing, bidding, and contract negotiation, to effectively manage procurement activities.</p><br>
<p>Strong technical knowledge and understanding of engineering principles to assess technical specifications and ensure alignment with project requirements.</p><br>
<p>Excellent analytical abilities to evaluate supplier proposals, conduct cost analysis, and identify opportunities for cost savings.</p><br>
<p>Negotiation skills to secure favorable terms, pricing, and delivery schedules with suppliers while maintaining quality standards.</p><br>
<p>Communication and interpersonal skills to collaborate with cross-functional teams, vendors, and stakeholders and effectively convey technical requirements and project objectives.</p><br>
<p>ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.</p><br><br><br><u><b>Job Experience</b></u>
<br><p>Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus</p><br><br><br><u><b>Competencies</b></u>
<br>Resilience<br>AI Fluency<br>Quality<br>Leadership<br>Purchasing Procedures L3<br>Materials Management L3<br>Material Forecasting L3<br>E-Procurement Tools L3<br>Agility<br>Purchasing Benchmarking L3<br><br><br><u><b>Education</b></u>
<br>Bachelor's Degree in Engineering<br>Professional Qualification in Supply Chain/Logistics related course or any Related Technical Certificates<br><br><br><br>
</div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p><b>About the Job:</b></p>
<p>The Pricing Engineer is responsible for monitoring and optimizing pricing strategies to maximize revenue and maintain market competitiveness. The role includes analyzing competitors' fares, ensuring pricing accuracy, evaluating pricing proposals, and collaborating with sales and distribution teams to support revenue and market-share objectives.</p>
<p><b> </b></p>
<p><b>Main duties:</b></p>
<ul>
<li><span>Monitoring competition by collecting competitive information including pricing, ongoing promotions, and exclusive fares. Monitor new and emerging competitors. Evaluate and report competitive threats from existing and new players periodically aimed at retaining market share and optimizing revenue.</span></li>
<li><span>Updating Fares by maintaining pricing competitiveness and updating fares on the day-to-day basis based on agreed and defined strategy.</span></li>
<li><span>Maintaining price accuracy by monitoring price accuracy along the customer journey and ensure the displayed pricing is aligned with the setting. Identify and investigate root causes of pricing inaccuracies.</span></li>
<li><span>Updating the product price component such as fuel surcharge, fare rules and conditions such as Min, Max, Advance Purchase …etc., and work closely with the distribution team to ensure it is always updated.</span></li>
<li><span>Ensuring that area managers, local sales offices and revenue accounting are familiar with commercial Pricing policies and procedures.</span></li>
<li><span>Performing comprehensive evaluation and analysis of all online fare proposals received from various Area Mangers, local sales managers and general sales agents and approve, disapprove or negotiate and recommend appropriate action according to pricing authorization.</span></li>
<li><span>Evaluating productivity based on performance criteria, including anticipated market share, issue approvals or recommendations for appropriate actions.</span></li>
<li><span>Developing other competitive and marketable pricing products, promotion offers, etc., which support revenue/yield objectives and convey the merits and unique selling points of such products to the local sales offices.</span></li>
<li><span>Collaborating with the local sales offices and pricing distribution, investigate and establish optimum distribution strategy of each POS using GDS,” private GDS” facilities, “Online” booking facilities, email, paper distribution etc.</span></li>
<li><span>Evaluating market trends regularly in addition to assessing competitor's behavior, performance of past initiatives and offer proactive recommendations as to pricing actions aimed at supporting local sales office revenue target</span><span>.</span></li>
</ul> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><ul>
<li><span>Strong analytical and quantitative skills with advanced problem-solving abilities.</span></li>
<li><span>Excellent written and verbal communication skills, with the ability to present insights clearly to both technical and non-technical stakeholders.</span></li>
<li><span>Strong strategic and commercial thinking mindset.</span></li>
<li><span>Ability to interpret complex datasets and translate findings into actionable commercial recommendations.</span></li>
<li><span>Ability to work under pressure in a fast-paced airline environment, including availability during holidays and weekends when required.</span></li>
<li><span>Advanced proficiency in Microsoft Excel and business intelligence tools (such as Power BI or Tableau); SQL knowledge is an advantage.</span></li>
<li><span>Solid understanding of forecasting techniques, demand curves, and data visualization principles.</span></li>
</ul></div>
<p><h4>Description</h4>
<p>We're hiring a Customer Engineer to serve as the direct technical bridge between our enterprise customers and the OpenCX product. You'll respond quickly to customer queries via Slack or video calls, lead onboarding and implementation, debug issues (including complex third-party integrations), and ship fixes or enhancements yourself in our Node.js/TypeScript codebase.</p>
<p>You'll develop deep expertise in the platform — including how customers use our AI agents — and work closely with the Product Engineering team to turn real customer needs into product improvements. Prompt engineering is a significant part of the role, as you'll help customers get the most out of our AI capabilities.</p>
<p>The size of your contributions to the codebase will vary based on your appetite and ability to execute product changes, but the responsibilities below represent the minimum expectation.</p>
<p>This is a hands-on engineering role with heavy customer exposure — not pure support, and not pure internal development.</p>
<h4>What you'll do</h4>
<ul>
<li>Act as the primary technical point of contact for enterprise customers: respond fast to queries, join video calls, and own resolution end-to-end.</li>
<li>Lead technical onboarding and implementation: guide customers through setup, configuration, and integration with tools like Zendesk, Intercom, HubSpot, and others.</li>
<li>Debug and troubleshoot complex issues in live customer environments.</li>
<li>Implement fixes, integration enhancements, or small features directly in the Node.js/TypeScript codebase.</li>
<li>Collaborate closely with the Product Engineering team: share customer context, escalate systemic problems, and help prioritize and plan changes.</li>
<li>Build strong expertise in the platform (including AI agents and prompt engineering) so you can effectively advise customers on solving their communication and support challenges.</li>
<li>Document recurring issues, solutions, and integration patterns to strengthen internal knowledge and customer resources.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Strong software engineering experience with Node.js and TypeScript — you'll be writing and shipping production code.</li>
<li>Hands-on experience using AI agents and prompt engineering (this is important, as OpenCX is an AI-native platform and you'll help customers optimize their use of it).</li>
<li>Previous customer-facing technical work: onboarding, debugging integrations, or similar roles in a SaaS environment.</li>
<li>Good understanding of (or fast ability to learn) customer support/helpdesk tools and their APIs (Zendesk, Intercom, HubSpot, etc.).</li>
<li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li>
<li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li>
<li>Primarily based on-site in Amman, Jordan, and comfortable working with customers across US, Europe, and Saudi time zones.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Top of the market compensation</li>
<li>Health insurance</li>
<li>Working at a high-growth, YC-backed startup</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We're hiring a Customer Engineer to serve as the direct technical bridge between our enterprise customers and the OpenCX product. You'll respond quickly to customer queries via Slack or video calls, lead onboarding and implementation, debug issues (including complex third-party integrations), and ship fixes or enhancements yourself in our Node.js/TypeScript codebase.</p>
<p>You'll develop deep expertise in the platform — including how customers use our AI agents — and work closely with the Product Engineering team to turn real customer needs into product improvements. Prompt engineering is a significant part of the role, as you'll help customers get the most out of our AI capabilities.</p>
<p>The size of your contributions to the codebase will vary based on your appetite and ability to execute product changes, but the responsibilities below represent the minimum expectation.</p>
<p>This is a hands-on engineering role with heavy customer exposure — not pure support, and not pure internal development.</p>
<h4>What you'll do</h4>
<ul>
<li>Act as the primary technical point of contact for enterprise customers: respond fast to queries, join video calls, and own resolution end-to-end.</li>
<li>Lead technical onboarding and implementation: guide customers through setup, configuration, and integration with tools like Zendesk, Intercom, HubSpot, and others.</li>
<li>Debug and troubleshoot complex issues in live customer environments.</li>
<li>Implement fixes, integration enhancements, or small features directly in the Node.js/TypeScript codebase.</li>
<li>Collaborate closely with the Product Engineering team: share customer context, escalate systemic problems, and help prioritize and plan changes.</li>
<li>Build strong expertise in the platform (including AI agents and prompt engineering) so you can effectively advise customers on solving their communication and support challenges.</li>
<li>Document recurring issues, solutions, and integration patterns to strengthen internal knowledge and customer resources.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Strong software engineering experience with Node.js and TypeScript — you'll be writing and shipping production code.</li>
<li>Hands-on experience using AI agents and prompt engineering (this is important, as OpenCX is an AI-native platform and you'll help customers optimize their use of it).</li>
<li>Previous customer-facing technical work: onboarding, debugging integrations, or similar roles in a SaaS environment.</li>
<li>Good understanding of (or fast ability to learn) customer support/helpdesk tools and their APIs (Zendesk, Intercom, HubSpot, etc.).</li>
<li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li>
<li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li>
<li>Primarily based on-site in Amman, Jordan, and comfortable working with customers across US, Europe, and Saudi time zones.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Top of the market compensation</li>
<li>Health insurance</li>
<li>Working at a high-growth, YC-backed startup</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We're hiring an AI agent designer to build, prompt-engineer, and continuously improve the AI agents that power OpenCX. You'll work directly with customers and our product team to translate real customer use cases into agent behavior that just works — designing conversation flows, writing and iterating on prompts, and measuring agent performance against real customer outcomes.</p>
<p>You'll develop deep expertise in the platform and the underlying LLMs we use, and partner with the product engineering team to push the boundaries of what our agents can do. Prompt engineering is the core of this role — you'll be writing, testing, and iterating on prompts daily, while constantly tuning agents based on real-world customer feedback.</p>
<p>The scope of agents you'll own and the depth of prompt iteration you'll drive will scale with your experience and ability to ship.</p>
<p>This is a hands-on AI/prompt engineering role with heavy customer exposure — not pure internal R&D, and not pure support.</p>
<h4>What you'll do</h4>
<ul>
<li>Design and build new AI agents end-to-end: define behavior, write the prompts, set up tool/function calls, and ship to customers.</li>
<li>Iterate on prompts based on real customer conversations and edge cases — measuring quality, latency, and accuracy.</li>
<li>Work directly with customers to understand their use cases, then translate them into agent behavior that just works.</li>
<li>Run experiments across models, prompt structures, and agent architectures to push performance higher.</li>
<li>Collaborate closely with the product engineering team: feed real customer needs back into platform improvements.</li>
<li>Build deep expertise in our agent stack — LLMs, tools, evaluations — so you can advise customers on what's possible.</li>
<li>Document agent design patterns, prompt templates, and evaluation playbooks to strengthen internal and customer resources.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Hands-on experience with prompt engineering and AI agents — you've built, tuned, and shipped LLM-powered features.</li>
<li>Strong technical foundation — you can read code, work with APIs, and run evaluations to measure agent quality.</li>
<li>Solid understanding of how modern LLMs behave, where they fail, and how to design prompts and tools to make them reliable.</li>
<li>Customer-facing experience or strong willingness to engage directly with customers to learn their use cases.</li>
<li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li>
<li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li>
<li>Comfortable working remotely with customers across multiple global time zones.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Top of the market compensation</li>
<li>Health insurance</li>
<li>Working at a high-growth, YC-backed startup</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We're hiring an AI agent designer to build, prompt-engineer, and continuously improve the AI agents that power OpenCX. You'll work directly with customers and our product team to translate real customer use cases into agent behavior that just works — designing conversation flows, writing and iterating on prompts, and measuring agent performance against real customer outcomes.</p>
<p>You'll develop deep expertise in the platform and the underlying LLMs we use, and partner with the product engineering team to push the boundaries of what our agents can do. Prompt engineering is the core of this role — you'll be writing, testing, and iterating on prompts daily, while constantly tuning agents based on real-world customer feedback.</p>
<p>The scope of agents you'll own and the depth of prompt iteration you'll drive will scale with your experience and ability to ship.</p>
<p>This is a hands-on AI/prompt engineering role with heavy customer exposure — not pure internal R&D, and not pure support.</p>
<h4>What you'll do</h4>
<ul>
<li>Design and build new AI agents end-to-end: define behavior, write the prompts, set up tool/function calls, and ship to customers.</li>
<li>Iterate on prompts based on real customer conversations and edge cases — measuring quality, latency, and accuracy.</li>
<li>Work directly with customers to understand their use cases, then translate them into agent behavior that just works.</li>
<li>Run experiments across models, prompt structures, and agent architectures to push performance higher.</li>
<li>Collaborate closely with the product engineering team: feed real customer needs back into platform improvements.</li>
<li>Build deep expertise in our agent stack — LLMs, tools, evaluations — so you can advise customers on what's possible.</li>
<li>Document agent design patterns, prompt templates, and evaluation playbooks to strengthen internal and customer resources.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Hands-on experience with prompt engineering and AI agents — you've built, tuned, and shipped LLM-powered features.</li>
<li>Strong technical foundation — you can read code, work with APIs, and run evaluations to measure agent quality.</li>
<li>Solid understanding of how modern LLMs behave, where they fail, and how to design prompts and tools to make them reliable.</li>
<li>Customer-facing experience or strong willingness to engage directly with customers to learn their use cases.</li>
<li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li>
<li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li>
<li>Comfortable working remotely with customers across multiple global time zones.</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Top of the market compensation</li>
<li>Health insurance</li>
<li>Working at a high-growth, YC-backed startup</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We're hiring a Customer Engineer to serve as the direct technical bridge between our enterprise customers and the OpenCX product. You'll respond quickly to customer queries via Slack or video calls, lead onboarding and implementation, debug issues (including complex third-party integrations), and ship fixes or enhancements yourself in our Node.js + TypeScript codebase.</p>
<p>You'll develop deep expertise in the platform — including how customers use our AI agents — and work closely with the Product Engineering team to turn real customer needs into product improvements. Prompt engineering is a significant part of the role, as you'll help customers get the most out of our AI capabilities.</p>
<p>The size of your contributions to the codebase will vary based on your appetite and ability to execute product changes, but the responsibilities below represent the minimum expectation.</p>
<p>This is a hands-on engineering role with heavy customer exposure — not pure support, and not pure internal development.</p>
<h4>What you'll do</h4>
<li>Act as the primary technical point of contact for enterprise customers: respond fast to queries, join video calls, and own resolution end-to-end.</li>
<li>Lead technical onboarding and implementation: guide customers through setup, configuration, and integration with tools like Zendesk, Intercom, HubSpot, and others.</li>
<li>Debug and troubleshoot complex issues in live customer environments.</li>
<li>Implement fixes, integration enhancements, or small features directly in the Node.js / TypeScript codebase.</li>
<li>Collaborate closely with the Product Engineering team: share customer context, escalate systemic problems, and help prioritize and plan changes.</li>
<li>Build strong expertise in the platform (including AI agents and prompt engineering) so you can effectively advise customers on solving their communication and support challenges.</li>
<li>Document recurring issues, solutions, and integration patterns to strengthen internal knowledge and customer resources.</li>
<h4>Requirements</h4>
<li>Strong software engineering experience with Node.js and TypeScript — you'll be writing and shipping production code.</li>
<li>Hands-on experience using AI agents and prompt engineering (this is important, as OpenCX is an AI-native platform and you'll help customers optimize their use of it).</li>
<li>Previous customer-facing technical work: onboarding, debugging integrations, or similar roles in a SaaS environment.</li>
<li>Good understanding of (or fast ability to learn) customer support / helpdesk tools and their APIs (Zendesk, Intercom, HubSpot, etc.).</li>
<li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li>
<li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li>
<li>Comfortable working remotely with customers across multiple global time zones.</li>
<h4>Benefits</h4>
<li>Top of the market compensation</li>
<li>Health insurance</li>
<li>Working at a high-growth, YC-backed startup</li></p><p></p>
<p><h4>Description</h4>
<p>We're hiring a Customer Engineer to serve as the direct technical bridge between our enterprise customers and the OpenCX product. You'll respond quickly to customer queries via Slack or video calls, lead onboarding and implementation, debug issues (including complex third-party integrations), and ship fixes or enhancements yourself in our Node.js + TypeScript codebase.</p>
<p>You'll develop deep expertise in the platform — including how customers use our AI agents — and work closely with the Product Engineering team to turn real customer needs into product improvements. Prompt engineering is a significant part of the role, as you'll help customers get the most out of our AI capabilities.</p>
<p>The size of your contributions to the codebase will vary based on your appetite and ability to execute product changes, but the responsibilities below represent the minimum expectation.</p>
<p>This is a hands-on engineering role with heavy customer exposure — not pure support, and not pure internal development.</p>
<h4>What you'll do</h4>
<li>Act as the primary technical point of contact for enterprise customers: respond fast to queries, join video calls, and own resolution end-to-end.</li>
<li>Lead technical onboarding and implementation: guide customers through setup, configuration, and integration with tools like Zendesk, Intercom, HubSpot, and others.</li>
<li>Debug and troubleshoot complex issues in live customer environments.</li>
<li>Implement fixes, integration enhancements, or small features directly in the Node.js / TypeScript codebase.</li>
<li>Collaborate closely with the Product Engineering team: share customer context, escalate systemic problems, and help prioritize and plan changes.</li>
<li>Build strong expertise in the platform (including AI agents and prompt engineering) so you can effectively advise customers on solving their communication and support challenges.</li>
<li>Document recurring issues, solutions, and integration patterns to strengthen internal knowledge and customer resources.</li>
<h4>Requirements</h4>
<li>Strong software engineering experience with Node.js and TypeScript — you'll be writing and shipping production code.</li>
<li>Hands-on experience using AI agents and prompt engineering (this is important, as OpenCX is an AI-native platform and you'll help customers optimize their use of it).</li>
<li>Previous customer-facing technical work: onboarding, debugging integrations, or similar roles in a SaaS environment.</li>
<li>Good understanding of (or fast ability to learn) customer support / helpdesk tools and their APIs (Zendesk, Intercom, HubSpot, etc.).</li>
<li>Excellent English communication skills — clear writing and confident speaking on video calls with enterprise stakeholders.</li>
<li>Ability to operate effectively in a fast-moving startup: you prioritize speed, customer impact, and getting things done.</li>
<li>Comfortable working remotely with customers across multiple global time zones.</li>
<h4>Benefits</h4>
<li>Top of the market compensation</li>
<li>Health insurance</li>
<li>Working at a high-growth, YC-backed startup</li></p><p></p>
<p><h4>About us</h4>
<p>Open builds AI that handles customer support for businesses where it actually matters, companies like MoneyGram, Mollie, TicketSwap, and More.com, running at scale, serving millions of people. We're backed by Y Combinator.</p>
<p>We are guided by a set of values that define who we are and who we hire: customer obsession, high standards, and a genuine belief that great work, the kind that actually changes how a business operates, is worth doing properly.</p>
<p>People are the operating system of everything we build. You'll own the full people function at Open, recruiting the best engineers, operators, and builders in the region, building the HR infrastructure that lets us scale without losing what makes us special, and shaping a culture where high standards are the norm. When we hire right and people thrive, it's because of you.</p>
<p>This isn't a coordinator role or a process-management role. It's the job for someone who gets genuinely excited about finding world-class talent, can hold a sharp conversation with a senior engineer, and believes that culture is built one hire and one decision at a time.</p>
<h4>What you'll do</h4>
<ul>
<li>Own the full-cycle, end-to-end recruiting process for all roles at Open, with a strong emphasis on technical hiring (engineering, infrastructure, AI/ML, and product)</li>
<li>Act as a strategic hiring partner to every hiring manager, define role requirements, develop position profiles, and align on priorities and timelines before a single candidate is sourced</li>
<li>Develop and execute targeted sourcing strategies across multiple channels, LinkedIn, referrals, communities, events, direct outreach, to proactively identify and engage top talent, including passive candidates</li>
<li>Build strong candidate pipelines, assess and close top talent in a competitive market, and deliver an exceptional experience for candidates, interviewers, and hiring managers alike</li>
<li>Design and continuously optimize a structured, efficient, and equitable interview process, improving consistency, speed, and candidate experience across every hire</li>
<li>Track, analyze, and report on key recruiting metrics, pipeline health, time-to-fill, source effectiveness, and candidate experience, and share regular insights with leadership</li>
<li>Manage the full employee lifecycle, pre-boarding, onboarding, offboarding, and everything in between, with a relentless focus on creating a seamless employee experience</li>
<li>Own HR operations, employment contracts, payroll coordination, benefits administration, and build the processes and playbooks that let us scale without adding unnecessary overhead</li>
<li>Design and operationalize performance management, review cycles, feedback frameworks, and calibration processes that help people grow and help the company maintain high standards</li>
<li>Build and maintain people metrics dashboards, headcount, attrition, pipeline health, to give leadership real-time visibility into the state of the team</li>
<li>Lead engagement initiatives, surveys, learning & development programs, culture-building activities, that make Open a place where high performers want to stay</li>
<li>Ensure full compliance with Jordanian labor law, maintain accurate employee records, support audits, and keep the organization aligned with legal and regulatory requirements</li>
</ul>
<h4>Requirements</h4>
<h4>What you'll bring</h4>
<ul>
<li>7+ years of full-cycle recruiting experience in a high-growth tech environment, with a proven track record of closing senior and technical hires</li>
<li>Demonstrated ability to develop and execute recruiting strategies aligned to business objectives, not just fill requisitions, but build pipelines before they're needed</li>
<li>Deep understanding of technical roles, you can hold a real conversation with an engineering hiring manager about backend systems, AI/ML infrastructure, or product architecture</li>
<li>A well-established network in the regional tech talent ecosystem, and the ability to navigate ambiguity to identify and close exceptional candidates in a competitive market</li>
<li>Data-driven approach to recruiting, you track pipeline health, time-to-fill, and source effectiveness, and you use the data to make decisions, not just reports</li>
<li>Strong cross-functional collaboration skills, exceptional communication, relationship-building, and the ability to manage shifting priorities across multiple stakeholders at once</li>
<li>Hands-on ownership of HR operations, employment contracts, payroll coordination, benefits administration, with a systems-thinker mindset for continuous process improvement</li>
<li>Experience designing and running performance management processes in a startup environment, review cycles, calibration, feedback frameworks</li>
<li>Working knowledge of operating countries labor law and HR compliance requirements</li>
<li>Fluent English, written and spoken, with strong written communication skills for outreach, documentation, and internal comms</li>
<li>Experience with ATS platforms (Workable, Ashby, Greenhouse, or similar) and LinkedIn Recruiter</li>
<li>Experience scaling people functions and recruiting teams during rapid company growth</li>
</ul>
<h4>Benefits</h4>
<ul>
<li>Statutory health insurance coverage</li>
<li>Supportive, collaborative startup culture</li>
<li>Shape the culture from day one. You won't be joining an existing people function — you'll be building it. That means the values, the rituals, the hiring bar, and the environment people work in are yours to define. For the right person, that's the opportunity of a career.</li>
</ul></p><p></p>