Architect Jobs in Lebanon

<p><strong>Org. Setting and Reporting</strong></p><p>UNRWA is a United Nations agency established by the General Assembly in 1949 and is mandated to provide assistance and protection to a population of some 5.8 million registered Palestine refugees. Its mission is to help Palestine refugees in Jordan, Lebanon, Syria, West Bank and the Gaza Strip to achieve their full potential in human development, pending a just solution to their plight. UNRWA's services encompass education, health care, relief and social services, camp infrastructure and improvement, microfinance, and emergency assistance. UNRWA is the largest UN operation in the Middle East with more than 30,000 staff.UNRWA is funded almost entirely by voluntary contributions. If you are looking for a rewarding opportunity to make a tangible difference for one of the most vulnerable communities in the world, UNRWA would like to hear from you.</p><p>The incumbent reports to the assigned Senior TVET Instructor or Deputy Principal of Training Centre</p><p><strong>Responsibilities</strong></p><ul><li>Supports the design and development of learning programmes and curricula including supporting in organizing and conducting occupational and competency analyses within their area of specialization, drafting programme profiles, learning guides and manuals, assessing and integrating new and emerging technologies into the subject specializations, and assisting in integrating career guidance and counselling in the learning programmes.</li><li>Facilitates the delivery of the school-based and work-based learning programmes assigned to them including designing and preparing training venues, identifying and proper utilizing of the facilities and equipment, selecting the trainees, developing inclusive training (lessons) plans, facilitating and managing learning in classrooms, laboratories, workshops, and workplaces, employing adult learning strategies including integrating trainees with disabilities and special learning needs, and mainstreaming Occupational Health and Safety (OSH) and core skills for life and work in the learning delivery.</li><li>Designs student assessments both formative and summative assessments, practice-based and knowledge-based skills tests; Develops assessment sheets, grids and inclusive skills assessment implementation plans including assessment of core skills and Occupational Safety and Health (OSH); Conducts knowledge and practice-based assessments and tests according to the assessment implementation plan.</li><li>Builds linkages with employers, workers, and TVET instructors in their specialisations; Collects and utilises available labour market information (LMI) for their training courses; supports conducting and analysing skills needs and anticipation assessments, employers surveys, trainees and graduate trace studies to identify skills gaps, needs, and mismatches for their learning programmes.</li><li>Applies quality assurance tools and processes across the training cycle of their training courses according to UNRWA TVET Quality Assurance Framework.</li><li>Supports TVET greening and digitalization initiatives and activities; Designs and implements green and digital learning programmes; Integrates green and digital skills into their training courses; Develops and facilitates synchronous and asynchronous training sessions.</li><li>Collaborates with other instructors and staff members in coordinating the teaching and learning process, keeping respectful environment at the Centre, maintaining order and discipline in the Centre, and implementing well-organized co-curricular activities, supporting the design and implementation of the Occupational Health and Safety (OSH) measures and tools and reports on incidents and risks in the Centre.</li><li>Performs such other duties as may be assigned</li></ul><p><strong>Competencies</strong></p><p>UN Core Values of Integrity, Professionalism and Respect for Diversity, and Core Competencies of Communication, Working with People and Drive for Results apply by default.</p><p>Following Instructions and Procedures Relating and Networking Creating and Innovating Applying Technical Expertise Planning and Organizing</p><p><strong>Desired Candidate Profile</strong></p><ul><li>A university degree of four years from an accredited educational institution in an approved course of study with major specialization in the field of subject taught.</li><li>No experience at this entry level of TVET Instructor (Electronics Engineer) - grade 11, is required.</li><li>Applicants are required to mention if they have close relative(s) in UNRWA (mother, father, daughter, son, sister brother), please provide full name(s) and relationship. If applicable, please provide further details below.</li><li>Applicants are required to mention if they are a Palestine refugee. If yes, please provide your Registration Card Number.</li><li>Candidates are required to make a declaration as to whether they have any current or past affiliations with non-governmental organisations, academic institutions, political organisations, military, or have/are engaged in activities or have made any public statements, that could be seen to impact their neutrality, objectivity or independence in the performance of their duties for the UN / UNRWA. Any declaration will not necessarily disqualify candidates from consideration for this post.</li><li>Indicate your current involvement in any outside activities, as it is required. Including but not limited to employment, independent contractor/freelance consultant, board member (corporate, academic, etc), expert group, lobby, public speaking/writing (article, book, blog, social media etc), teaching, conferences, training, press statement, voluntary work, political activity, fundraising/donation for non-UNRWA entity, running for public office, role in political party or orgs, owning business, work for gov./NGO/private company/charity, UNRWA partner/vendor, full/part-time, paid or not. A yes answer doesn t necessarily lead to exclusion from future work at UNRWA, yet misrepresentation in providing accurate/complete info can lead to disqualification/termination of appointment, if hired.</li><li>English and Arabic are required.</li></ul>

<p><h4>Lebanese American University</h4> <h4>School of Architecture & Design</h4> <h4>Department of Architecture & Interior Design</h4> <h4>Beirut & Byblos Campuses</h4> <p>The School of Architecture & Design at the Lebanese American University (LAU) invites applications for a full-time tenure-track faculty position at the rank of assistant or associate professor in architecture, beginning Fall 2027. The appointment will be made at the appropriate rank based on the candidate’s academic credentials, teaching experience, research profile, and professional accomplishments. The tenure track is reserved for faculty who are active in research and who already have a scholarly agenda.</p> <p>This is an exciting opportunity to join a dynamic academic community and contribute to a program that values design excellence, critical inquiry, and interdisciplinary collaboration.</p> <h4>About the program and school</h4> <p>The Bachelor of Architecture (B.Arch.) program at LAU is a five-year professional degree accredited by the National Architectural Accrediting Board (NAAB) in the United States. The program emphasizes design excellence, critical thinking, and responsiveness to social, environmental, and technological challenges. Students engage in a rigorous curriculum that integrates studio work, theory, history, technology, and professional practice.</p> <p>The School of Architecture & Design is a vibrant academic unit offering programs in architecture, interior design, graphic design, fashion design, and studio arts. It fosters a multidisciplinary and collaborative environment, encouraging innovation, research, and engagement with contemporary global issues. The school is housed in state-of-the-art facilities on both the Beirut and Byblos campuses.</p> <h4>Key responsibilities</h4> <ul> <li>Teach undergraduate courses, including design studios, theoretical and/or technical courses aligned with the candidate’s area of expertise.</li> <li>Supervise student projects and contribute to curriculum development.</li> <li>Maintain an active research agenda leading to scholarly publications.</li> <li>Participate in departmental and university service, including committee work and academic events.</li> <li>Contribute to the ongoing development of the architecture program and participate effectively in the NAAB accreditation process.</li> </ul> <h4>Qualifications</h4> <ul> <li>A Ph.D. in architecture, architectural history/theory, or related fields is required.</li> <li>A minimum of three years of teaching experience in architecture at the university level.</li> <li>A demonstrated research agenda in one or more of the following areas: architectural theory, sustainable architecture, digital architecture, or other closely related fields.</li> <li>Professional experience and licensure are a plus.</li> <li>A strong commitment to teaching excellence, research productivity, and academic service.</li> </ul> <h4>Compensation & benefits</h4> <p>LAU offers a competitive salary indexed to the US dollar, based on rank, experience, and qualifications. Faculty members enjoy a comprehensive benefits package that includes:</p> <ul> <li>Group medical insurance</li> <li>Retirement and pension plans</li> <li>Tuition benefits for dependents</li> <li>Annual paid leave and holidays</li> <li>Access to research and professional development funding</li> </ul> <h4>Terms of appointment</h4> <ul> <li>Start date: Fall 2027 (starting end of August)</li> <li>Contract type: Full-time, tenure-track</li> <li>Rank: Assistant or associate professor (based on qualifications)</li> <li>Contract duration: Renewable annually in accordance with university policies</li> </ul> <h4>Application instructions</h4> <p>Candidates should apply electronically by submitting the following materials:</p> <ul> <li>Letter of intent outlining teaching philosophy and professional experience.</li> <li>Curriculum vitae with names of three references.</li> <li>Portfolio of research and/or professional work (PDF format).</li> <li>Portfolio of teaching work (PDF format).</li> </ul> <p>Deadline: October 31, 2026, or until the position is filled.</p> <p>The Lebanese American University is an equal opportunity employer operating in Lebanon under a charter from the Regents of the State University of New York.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an intermediate Full-Stack Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> Role Overview As an Intermediate Full Stack Developer, you’ll play a role in the ongoing development of our world-class cloud platform, and be comfortable with both front and back end programming.<br> From understanding the initial set of customer requirements to deploying the final product, you’ll have your hands and mind in all aspects of the implementation.<br> You’ll be responsible for developing and designing front end web architecture and back end systems, ensuring the responsiveness of applications and working alongside graphic designers for web design features, among other duties.<br> At times, you may even find yourself presenting a solution to an external customer or to the entire company looking for feedback.<br> Outcomes and Key Responsibilities Write Quality Code: Build well-designed, testable, efficient, secure code.<br> Follow departmental guidelines for coding standards and participate in code reviews.<br> Test: Write unit tests, service level and UI tests with help as needed from senior teammates.<br> Find and execute test plans and test cases, read and validate automation results.<br> Contribute to Software Design: Share ideas &amp; participate in product, UI, architectural design discussions.<br> Design basic functions with an awareness of overall service architecture, avoiding duplication across codebases and interface-breaking changes.<br> Leverage AI-powered coding assistants to accelerate software development, including code generation, debugging, and refactoring.<br> Knowledge Sharing: Foster a culture of documentation and knowledge sharing within the team and with business stakeholders; actively demonstrate an openness to share and receive information, updates and feedback.<br> Measures of Performance: How You Know You’re Doing Well Process Execution: Every project, automation task, and incident is executed well and completely.<br> We ensure that all work in our system is done to the best of our ability given our knowledge, tooling, and experience.<br> Customer Satisfaction: A desire to ensure a high quality of service to provide the best customer experience, by continually finding the next problem to solve, and solving it well.<br> Effective Cooperation: Collaborate closely with Product Management and Site Reliability teams to consistently meet and surpass customer expectations for quality and reliability.<br> Experience Exposure to Computer Science fundamentals in object-oriented design.<br> Experience developing software services and an understanding of design for scalability, performance and reliability.<br> Familiarity with professional software engineering practices across the entire development life cycle; coding standards, code reviews, source control management build processes, testing.<br> Proficiency in the complete SDLC from Analysis to Deployment.<br> Working proficiency and communication skills in verbal and written English.<br> Proficiency in modern web programming including VueJS, NodeJS, JQuery.<br> Proficiency in modern event based microservice architecture, CQRS and websockets Experience working in Cloud Services including Google, Azure or AWS Competencies Excellent written and verbal communication capability, with an aptitude for breaking down technical topics into easy to understand concepts.<br> An eye for details and specifics, you don’t shy away from data or information; and you relish an opportunity to set things straight or organize.<br> Independent problem solving capabilities, and analytical skills.<br> You don’t give up when you don’t know the answer immediately and you're humble enough to ask for help whenever you need it.<br> Technologies - What You’ll Be Using Apache Cypress Docker GCP Git Gemini AI and Co-pilot Java Jira Linux PostgreSQL VueJS VS Code</span> </div>

<p><h4>Job description<\/h4>\n<p>Poynter Sheet Metal is one of the largest sheet metal companies in the nation. Poynter stands by its mission that <strong>\u201cWe are driven to achieve excellence as leaders in the industry and community through continuous improvement.\u201d<\/strong><\/p>\n<p>Poynter\u2019s professionals understand the importance of delivering exceptional quality with unmatched professionalism no matter how big or small the project. As a company built on innovation, we are determined to continue to advance in the industry by working diligently to improve our workflows and educating our personnel to stay on top of industry best practices.<\/p>\n<p>As a full-service sheet metal manufacturing company, our projects range from ventilation and exhaust systems, dust collection and extraction systems, vent and fume hoods, to architectural wraps and cladding, tanks and pressure vessels, structural components, handrails, paint and spray booths, machine guarding, duct cleaning services, and custom fabrication.<\/p>\n\n<h4>Responsibilities<\/h4>\n<p>As a Safety Manager, your key responsibility will be to manage and enforce Poynter's Safety Program for the assigned project(s) by identifying, eliminating, and controlling hazardous conditions that may lead to injury and\/or property damage. By using and enforcing job-specific safety standards, best management practices, and Poynter's safety program, the Safety Manager shall ensure the safety of all persons and property on the job site resulting in an accident\/incident-free project.<\/p>\n\n<h4>Essential functions<\/h4>\n<ul>\n <li>Conduct weekly \"Toolbox Safety Meeting\" and document content and attendance.<\/li>\n <li>Conduct safety training for new employees.<\/li>\n <li>Advise project staff on site-specific safety issues and guidelines.<\/li>\n <li>Provide leadership on the project and build working relationships with project staff and subcontractor safety representatives to ensure proper compliance.<\/li>\n <li>Evaluate the need for safety training and make recommendations.<\/li>\n <li>Educate and advise project staff on safety guidelines and policies.<\/li>\n <li>Collaborate with foremen on means and methods for performing high-risk activities such as excavations, fall protection, heavy equipment, etc.<\/li>\n <li>Monitor lockout\/tagout (LOTO) and pipe testing procedures.<\/li>\n<\/ul>\n\n<h4>Jobsite<\/h4>\n<ul>\n <li>Enforce safe work practices and safe working conditions in accordance with all state, federal, and local regulations (including OSHA), as well as Poynter company policies and owner\/contractual requirements.<\/li>\n <li>Conduct daily and\/or weekly (as appropriate or specified by job) job site inspections.<\/li>\n <li>Attend owner meetings.<\/li>\n <li>Record observations from site inspections and complete required reports.<\/li>\n <li>Investigate, corroborate, and document all accidents, incidents, and near misses on the jobsite.<\/li>\n <li>Recommend and implement corrective action based on policies, guidelines, and laws.<\/li>\n <li>Complete site walks at least 3 to 4 times per day.<\/li>\n<\/ul>\n\n<h4>Key attributes<\/h4>\n<ul>\n <li>Comfortable at the table with all levels of leadership.<\/li>\n <li>Collaborator.<\/li>\n <li>Integrity.<\/li>\n <li>Organized and systematic.<\/li>\n <li>Excellent verbal and written communication skills.<\/li>\n <li>Commitment to excellence.<\/li>\n<\/ul>\n\n<h4>What it takes<\/h4>\n<ul>\n <li>7+ years' safety experience in construction or a similar industry.<\/li>\n <li>Thorough knowledge of construction methods and OSHA standards.<\/li>\n <li>OSHA 30 certification.<\/li>\n <li>Able to successfully solve difficult contract and contract-related technical problems requiring excellent judgment.<\/li>\n <li>Must want to be in the field, not behind a desk.<\/li>\n <li>Basic working knowledge of MS Office and Windows.<\/li>\n<\/ul>\n\n<h4>Benefits<\/h4>\n<p>Poynter offers a unique opportunity for the right person to experience a variety of project work. Working at Poynter Sheet Metal, you can expect:<\/p>\n<ul>\n <li>A competitive compensation package.<\/li>\n <li>A comprehensive benefits package including medical, dental, vision, and 401(k) match.<\/li>\n <li>Basic life insurance, short-term and long-term insurance paid for by Poynter.<\/li>\n <li>Discretionary yearly bonus program.<\/li>\n <li>A generous paid time off (PTO) bank.<\/li>\n<\/ul><\/p><p><\/p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <h4>AI product development</h4> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <h4>Platform & architecture thinking</h4> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <h4>Core stack</h4> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in computer science, information systems, engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <h4>AI product development</h4> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <h4>Platform & architecture thinking</h4> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <h4>Core stack</h4> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in computer science, information systems, engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>

<p>Result of Service The consultant will design, build and operationalize geospatial AI pipelines, models and services that turn Earth observation and other geospatial data into policy-relevant indicators and decision-support tools for Arab Member States. The work will be integrated into DSDS platforms and will strengthen ESCWA's in-house geospatial analytics capacity. Work Location Hybrid Expected duration 6 months Duties and Responsibilities Background: The United Nations Economic and Social Commission for Western Asia (ESCWA) supports its 22 Arab Member States in achieving inclusive and sustainable development through evidence-based policymaking. Within ESCWA, the Decision Support and Data Science Division (DSDS) designs and operates AI platforms, data science tools, digital portals and decision-support systems. These include the Arab Development Portal (ADP), the ISPAR policy simulator, Polaris/Naseej (a multi-agent research and policy-synthesis engine), Mustashar (an Arabic-language AI legal advisory tool), and other specialized digital tools. Geospatial data and Earth observation are becoming central to policy analysis in the region. Satellite imagery, remote sensing, mobility data and other non-traditional sources can fill statistical gaps, produce near-real-time indicators, and support monitoring where conventional data are sparse, outdated or disrupted by conflict. Examples include tracking trade flows and border activity, measuring urban expansion and informal settlements, monitoring agricultural production and water use, assessing climate and disaster exposure, and estimating economic activity at the subnational level. DSDS is building a GeoAI capability to integrate geospatial intelligence into its platforms and analytical services. This work also supports the division's forthcoming practitioner manual, GeoInsights for Policymaking: Practitioner Manual for Geospatial Analysis and Decision Support, and related Development Account and technical cooperation work on AI, geospatial and non-traditional data. To lead the technical development of this capability, ESCWA seeks a Senior GeoAI Engineer. Duties and responsibilities: Under the overall supervision of the Chief of DSDS, the consultant will:</p><p>a) GeoAI architecture and data infrastructure Design a scalable, cloud-based geospatial data architecture covering ingestion, storage, processing and serving of raster and vector data (e.g., Sentinel-1/2, Landsat, VIIRS night-time lights, commercial high-resolution imagery, OpenStreetMap, administrative boundaries). Establish reproducible pipelines using cloud-optimized formats (COG, GeoParquet, Zarr, STAC catalogues) and tools such as Google Earth Engine, Microsoft Planetary Computer or equivalent. Ensure interoperability with existing DSDS platforms (ADP, ISPAR, Polaris/Naseej) through APIs and standard data services (OGC-compliant where appropriate).</p><p>b) Model development and use cases Develop, fine-tune and validate machine learning and deep learning models for priority use cases. Final selection will be agreed with the supervisor within the first month. Apply and adapt geospatial foundation models (e.g., Prithvi, SatMAE, Clay, SAM-based segmentation) where they add value over conventional approaches. Document model performance, uncertainty and limitations, including ground-truth validation against official statistics where available.</p><p>c) Decision-support products Develop interactive geospatial dashboards and map-based decision-support tools for policymakers. Produce subnational indicator datasets that can feed into ISPAR simulations, ADP data products and Polaris/Naseej evidence synthesis. Explore integration of geospatial retrieval and analysis into LLM-based agentic workflows (e.g., natural-language querying of geospatial layers).</p><p>d) Responsible AI and data governance Apply ESCWA's AI governance principles to all GeoAI work, including data provenance, privacy, bias assessment (e.g., urban/rural and regional representativeness), and the sensitivities of geospatial data in conflict-affected contexts. Prepare model cards and data documentation for all production models.</p><p>e) Knowledge products and capacity development Contribute technical content, worked examples and code notebooks to the GeoInsights for Policymaking practitioner manual. Design and deliver at least two technical trainings or workshops for Member State officials and/or ESCWA staff. Provide technical input to project proposals, concept notes and briefs involving geospatial and non-traditional data, as requested. Mentor DSDS staff and junior consultants and transfer knowledge through documentation, code reviews and hands-on sessions.</p><p>Languages English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required and knowledge of Arabic is desirable.&nbsp;</p><p><strong>Desired Candidate Profile</strong></p><p>A Master's degree or equivalent in geoinformatics, remote sensing, computer science, data science, geography, civil/environmental engineering or a related field is required. A PhD in a relevant field is desirable. A first-level university degree with two additional years of qualifying experience may be accepted in lieu of the advanced degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed.</p><p>At least seven years of progressively responsible experience in geospatial data science, remote sensing or GIS engineering, including at least four years developing and deploying machine learning or deep learning models on Earth observation data is required. Demonstrated experience building production-grade geospatial pipelines on cloud platforms (e.g., Google Earth Engine, AWS, Azure, Planetary Computer) is required. Strong proficiency in Python and the geospatial stack (GDAL, rasterio, xarray, GeoPandas, PostGIS) and in deep learning frameworks (PyTorch or TensorFlow) is required. Experience with segmentation, object detection and time-series analysis of satellite imagery is required. Experience with geospatial foundation models, LLM-based geospatial workflows or MLOps practices is desirable. Experience producing policy-relevant indicators (e.g., SDG monitoring, poverty mapping, economic activity estimation) is desirable. Experience in the Arab region, in international organizations or in conflict-affected settings is desirable. A portfolio of published code, peer-reviewed papers or deployed applications is desirable.</p>

<p>Looking for a creative and detail-oriented 3D Visualizer to join our team. The role is responsible for transforming architectural, interior, retail, and commercial design concepts into high-quality 3D models, realistic renderings, and visual presentations.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The consultant will design, build and operationalize geospatial AI pipelines, models and services that turn Earth observation and other geospatial data into policy-relevant indicators and decision-support tools for Arab Member States. The work will be integrated into DSDS platforms and will strengthen ESCWA's in-house geospatial analytics capacity.<br> Work Location<br>Hybrid<br> Expected duration<br>6 months<br> Duties and Responsibilities<br>Background: The United Nations Economic and Social Commission for Western Asia (ESCWA) supports its 22 Arab Member States in achieving inclusive and sustainable development through evidence-based policymaking. Within ESCWA, the Decision Support and Data Science Division (DSDS) designs and operates AI platforms, data science tools, digital portals and decision-support systems. These include the Arab Development Portal (ADP), the ISPAR policy simulator, Polaris/Naseej (a multi-agent research and policy-synthesis engine), Mustashar (an Arabic-language AI legal advisory tool), and other specialized digital tools. Geospatial data and Earth observation are becoming central to policy analysis in the region. Satellite imagery, remote sensing, mobility data and other non-traditional sources can fill statistical gaps, produce near-real-time indicators, and support monitoring where conventional data are sparse, outdated or disrupted by conflict. Examples include tracking trade flows and border activity, measuring urban expansion and informal settlements, monitoring agricultural production and water use, assessing climate and disaster exposure, and estimating economic activity at the subnational level. DSDS is building a GeoAI capability to integrate geospatial intelligence into its platforms and analytical services. This work also supports the division's forthcoming practitioner manual, GeoInsights for Policymaking: Practitioner Manual for Geospatial Analysis and Decision Support, and related Development Account and technical cooperation work on AI, geospatial and non-traditional data. To lead the technical development of this capability, ESCWA seeks a Senior GeoAI Engineer. Duties and responsibilities: Under the overall supervision of the Chief of DSDS, the consultant will: a) GeoAI architecture and data infrastructure • Design a scalable, cloud-based geospatial data architecture covering ingestion, storage, processing and serving of raster and vector data (e.g., Sentinel-1/2, Landsat, VIIRS night-time lights, commercial high-resolution imagery, OpenStreetMap, administrative boundaries). • Establish reproducible pipelines using cloud-optimized formats (COG, GeoParquet, Zarr, STAC catalogues) and tools such as Google Earth Engine, Microsoft Planetary Computer or equivalent. • Ensure interoperability with existing DSDS platforms (ADP, ISPAR, Polaris/Naseej) through APIs and standard data services (OGC-compliant where appropriate). b) Model development and use cases • Develop, fine-tune and validate machine learning and deep learning models for priority use cases. Final selection will be agreed with the supervisor within the first month. • Apply and adapt geospatial foundation models (e.g., Prithvi, SatMAE, Clay, SAM-based segmentation) where they add value over conventional approaches. • Document model performance, uncertainty and limitations, including ground-truth validation against official statistics where available. c) Decision-support products • Develop interactive geospatial dashboards and map-based decision-support tools for policymakers. • Produce subnational indicator datasets that can feed into ISPAR simulations, ADP data products and Polaris/Naseej evidence synthesis. • Explore integration of geospatial retrieval and analysis into LLM-based agentic workflows (e.g., natural-language querying of geospatial layers). d) Responsible AI and data governance • Apply ESCWA's AI governance principles to all GeoAI work, including data provenance, privacy, bias assessment (e.g., urban/rural and regional representativeness), and the sensitivities of geospatial data in conflict-affected contexts. • Prepare model cards and data documentation for all production models. e) Knowledge products and capacity development • Contribute technical content, worked examples and code notebooks to the GeoInsights for Policymaking practitioner manual. • Design and deliver at least two technical trainings or workshops for Member State officials and/or ESCWA staff. • Provide technical input to project proposals, concept notes and briefs involving geospatial and non-traditional data, as requested. • Mentor DSDS staff and junior consultants and transfer knowledge through documentation, code reviews and hands-on sessions.<br> Qualifications/special skills<br>A Master's degree or equivalent in geoinformatics, remote sensing, computer science, data science, geography, civil/environmental engineering or a related field is required. A PhD in a relevant field is desirable. A first-level university degree with two additional years of qualifying experience may be accepted in lieu of the advanced degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. At least seven years of progressively responsible experience in geospatial data science, remote sensing or GIS engineering, including at least four years developing and deploying machine learning or deep learning models on Earth observation data is required. Demonstrated experience building production-grade geospatial pipelines on cloud platforms (e.g., Google Earth Engine, AWS, Azure, Planetary Computer) is required. Strong proficiency in Python and the geospatial stack (GDAL, rasterio, xarray, GeoPandas, PostGIS) and in deep learning frameworks (PyTorch or TensorFlow) is required. Experience with segmentation, object detection and time-series analysis of satellite imagery is required. Experience with geospatial foundation models, LLM-based geospatial workflows or MLOps practices is desirable. Experience producing policy-relevant indicators (e.g., SDG monitoring, poverty mapping, economic activity estimation) is desirable. Experience in the Arab region, in international organizations or in conflict-affected settings is desirable. A portfolio of published code, peer-reviewed papers or deployed applications is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required and knowledge of Arabic is desirable. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<ul style="font-size: 11px;"><li style="font-size: 11px;">AutoCAD and architectural drafting</li><li style="font-size: 11px;">3D modeling and visualization mandatory</li><li style="font-size: 11px;">Preparing detailed plans, elevations, sections, and construction drawings</li><li style="font-size: 11px;">Interior fit-out and millwork drawings</li><li style="font-size: 11px;">Coordinating drawings with site conditions and project requirements</li><li style="font-size: 11px;">Producing accurate, organized, and technically clear drawing packages</li><li style="font-size: 11px;">Previous experience in hospitality, retail, or restaurant projects is preferred.</li></ul><p style="font-size: 11px;">Please send your CV, portfolio including 2D and 3D work availability, and expected rate by direct message or email</p><p><strong>Desired Candidate Profile</strong></p><ul><li><br></li></ul>

<ul style="font-size: 11px;"><li style="font-size: 11px;">AutoCAD and architectural drafting</li><li style="font-size: 11px;">3D modeling and visualization mandatory</li><li style="font-size: 11px;">Preparing detailed plans, elevations, sections, and construction drawings</li><li style="font-size: 11px;">Interior fit-out and millwork drawings</li><li style="font-size: 11px;">Coordinating drawings with site conditions and project requirements</li><li style="font-size: 11px;">Producing accurate, organized, and technically clear drawing packages</li><li style="font-size: 11px;">Previous experience in hospitality, retail, or restaurant projects is preferred.</li></ul><p style="font-size: 11px;">Please send your CV, portfolio including 2D and 3D work availability, and expected rate by direct message or email</p><p><strong>Desired Candidate Profile</strong></p><ul><li><br></li></ul>

<p>About the job: This is not a role where you spend your week pulling reports people may or may not look at. We want someone who can get inside the business, understand how Sales, Customer Success, Marketing, Payments, and Finance operate, and turn messy data and manual processes into scalable systems. You will become one of the key owners of our revenue data and HubSpot environment, helping us understand what is happening across the customer lifecycle, improving how our teams operate, and building AI agents and automations that remove repetitive work. You will have significant freedom to identify problems and build solutions. What Success Looks Like In your first year, you will help us:</p><ul><li>Establish reliable reporting and KPI infrastructure across Sales, Customer Success, Marketing, and Payments</li><li>Improve the accuracy, structure, and usability of HubSpot across the organization</li><li>Create a clear view of the entire revenue funnel, from lead through acquisition, onboarding, retention, expansion, and payments adoption</li><li>Reduce manual reporting and administrative work through automation</li><li>Build AI agents and workflows that make our teams faster and more effective; with a focus on go to market and reporting</li><li>Improve forecasting, pipeline visibility, customer segmentation, and revenue analysis</li><li>Create trusted datasets and dashboards that leadership can use to make decisions quickly</li><li>Identify revenue opportunities and operational issues before someone has to ask</li></ul><p>What You ll Do Revenue Operations &amp; Analytics</p><ul><li>Build and maintain dashboards, reporting, and analytical models across the customer lifecycle</li><li>Partner with Sales, Customer Success, Marketing, Payments, and Finance to define and track meaningful KPIs</li><li>Analyze pipeline, conversion, retention, expansion, payments adoption, and customer behavior</li><li>Help improve forecasting accuracy and pipeline management</li><li>Identify trends, bottlenecks, anomalies, and opportunities hidden within our data</li><li>Develop customer segmentation and cohort analysis to support GTM decisions</li><li>Translate business questions into clear analysis and actionable recommendations</li><li>Create scalable reporting rather than relying on manual spreadsheets and one-off analysis</li></ul><p>HubSpot Ownership &amp; RevOps</p><ul><li>Help own and continuously improve our HubSpot environment</li><li>Build and maintain workflows, properties, lifecycle stages, pipelines, reporting, and automation</li><li>Improve CRM data quality, governance, and consistency</li><li>Design processes that make HubSpot easier for Sales and Customer Success teams to use correctly</li><li>Connect HubSpot data with other business systems and datasets</li><li>Automate lead routing, customer workflows, lifecycle management, alerts, and internal processes</li><li>Help establish scalable RevOps processes as the company grows</li></ul><p>AI Agents &amp; Automation</p><ul><li>Identify repetitive or manual workflows that can be automated</li><li>Build AI agents that can analyze information, perform tasks, and support business processes</li><li>Create workflows that combine AI models, internal data, APIs, and business applications</li><li>Experiment rapidly with new AI capabilities and turn useful prototypes into repeatable internal tools</li><li>Build agents for use cases such as research, account intelligence, reporting, data enrichment, customer insights, and internal operations</li><li>Measure whether automation actually saves time, improves accuracy, or drives better business outcomes</li><li>Help teams understand where AI is useful and where traditional automation or analytics is the better solution</li></ul><p>Data Quality &amp; Infrastructure</p><ul><li>Combine data from HubSpot and other business systems into consistent reporting</li><li>Help define our source-of-truth metrics and business definitions</li><li>Identify and resolve data quality issues</li><li>Work with Product and Engineering when deeper integrations or data infrastructure are required</li><li>Document key metrics, processes, workflows, and data definitions so systems can scale with the company</li></ul><p>2 5 years of experience in data analytics, Revenue Operations, Business Operations, or a similar analytical role</p><p>Strong hands-on experience with HubSpot</p><p>Experience working with Sales, Customer Success, Marketing, or broader GTM organizations</p><p>Strong SQL and data analysis skills</p><p>Experience building dashboards and reporting using BI or visualization tools</p><p>Advanced Excel or Google Sheets capabilities</p><p>Comfortable working with imperfect datasets and figuring out how to make them useful</p><p>Experience designing workflows and automating business processes</p><p>Ability to translate analysis into clear business recommendations</p><p>Strong curiosity and willingness to dig into how the business actually works</p><p>Comfortable operating in a fast-moving environment where not everything has already been built</p><p>AI &amp; Automation Experience We are specifically looking for someone who is excited about using AI as a practical business tool. You should have experience experimenting with or building solutions using some combination of:</p><ul><li>AI agents and agentic workflows</li><li>Large language models</li><li>APIs and webhooks</li><li>Workflow automation platforms</li><li>Python or JavaScript</li><li>Structured prompts and tool calling</li><li>Data enrichment and research automation</li><li>Connecting AI models to business applications and internal data</li></ul><p>You do not need to be an AI engineer. You do need to be someone who sees a repetitive process and immediately starts wondering whether there is a better way to do it.</p><p>You ll Thrive Here If</p><ul><li>You like building things from scratch</li><li>You are naturally curious about how businesses make money</li><li>You would rather solve the underlying problem than keep producing the same report every Monday</li><li>You are comfortable moving between data analysis, systems, automation, and business conversations</li><li>You ask good questions and challenge assumptions</li><li>You care about clean data but understand that real-world data rarely starts clean</li><li>You can explain complicated analysis without making it complicated</li><li>You enjoy experimenting with new technology and figuring out where it creates real value</li><li>You want ownership rather than a narrowly defined list of tasks</li></ul><p>What You ll Get</p><ul><li>A high-impact role with direct exposure to senior leadership</li><li>Significant ownership over analytics, RevOps, and automation projects</li><li>The opportunity to build systems and processes from the ground up</li><li><br></li></ul><p><strong>Desired Candidate Profile</strong></p><p>2 5 years of experience in data analytics, Revenue Operations, Business Operations, or a similar analytical role</p><p>Strong hands-on experience with HubSpot</p><p>Experience working with Sales, Customer Success, Marketing, or broader GTM organizations</p><p>Strong SQL and data analysis skills</p><p>Experience building dashboards and reporting using BI or visualization tools</p><p>Advanced Excel or Google Sheets capabilities</p><p>Comfortable working with imperfect datasets and figuring out how to make them useful</p><p>Experience designing workflows and automating business processes</p><p>Ability to translate analysis into clear business recommendations</p><p>Strong curiosity and willingness to dig into how the business actually works</p><p>Comfortable operating in a fast-moving environment where not everything has already been built</p><p>AI &amp; Automation Experience We are specifically looking for someone who is excited about using AI as a practical business tool. You should have experience experimenting with or building solutions using some combination of:</p><ul><li>AI agents and agentic workflows</li><li>Large language models</li><li>APIs and webhooks</li><li>Workflow automation platforms</li><li>Python or JavaScript</li><li>Structured prompts and tool calling</li><li>Data enrichment and research automation</li><li><br></li></ul>

<p>Black Milk specializes in lighting design and supply solutions for architectural, commercial, hospitality, and residential projects across the region. We are looking for a Junior Estimation &amp; Tendering Specialist to join our growing team in Beirut. Key Responsibilities Prepare lighting quotations and commercial offers Assist in pricing and cost estimation for lighting projects Review and prepare BOQs (Bills of Quantities) Prepare technical data sheets and product submittals Support tender documentation and submission processes Organize project documentation and maintain accurate records Assist the sales and design teams with technical and commercial requirements</p><p><strong>Desired Candidate Profile</strong></p><h3>Requirements</h3><p>Fresh graduate or 0-2 years of relevant experience Strong knowledge of Microsoft Excel and Office tools Strong organizational and communication skills Detail-oriented and able to manage multiple tasks Background in lighting, construction, or technical sales is a plus</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Lucidya Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand their customers and take action across the entire customer lifecycle.<br> Our platform brings together products including Social Listening, OmniServe, Survey, and AI Agent, helping enterprise organizations across the region turn customer data into better experiences and measurable business outcomes.<br> As we continue to scale our products, customers, and AI capabilities, the amount of data we generate is growing rapidly.<br> The opportunity is no longer simply to report on what happened - it's to understand why it happened, what it means, and what we should do next.<br> Why this role matters We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates.<br> This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made.<br> You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.<br> You'll operate at two levels.<br> At the product and feature level , you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building.<br> You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop.<br> At the leadership level , you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.<br> The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.<br> What You'll Do Turn product data into decisions.<br> You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result.<br> Help teams define what success actually means.<br> You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched.<br> Understand how customers use our products.<br> You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck.<br> Evaluate whether our products are delivering value.<br> You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives.<br> Bring insights into product discovery.<br> You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist.<br> Challenge assumptions with evidence.<br> When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, “What does the data actually tell us?<br>” — constructively and without creating friction.<br> Identify opportunities before you're asked.<br> You won't wait for a stakeholder to request a report.<br> You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter.<br> Support experimentation.<br> You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us.<br> Make complex analysis easy to understand.<br> You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences.<br> Give leadership a clear view of product performance.<br> You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers.<br> Help Product become more self-sufficient with data.<br> You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question.<br> Raise data literacy across Product.<br> You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works.<br> Build trust across teams.<br> You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority.<br> What Success Looks Like In your first 3-6 months, you'll be building trust.<br> Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.<br> As you establish yourself, you'll start changing how decisions are made.<br> Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.<br> Ultimately, success means Product becomes more intelligent.<br> Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions.<br> The shift we're looking for is simple: From “What happened?<br>” → “Why did it happen?<br>” → “What should we do about it?<br>" Who You Are You're naturally curious.<br> When you see an unexpected number, you don't just add it to a report — you want to know what's behind it.<br> You think commercially, not just analytically.<br> You understand that an interesting insight isn't necessarily a useful one.<br> You can connect product behaviour to customer value, business performance, and investment decisions.<br> You don't need to be given the question.<br> You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it.<br> You can zoom in and out.<br> You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy.<br> You're willing to challenge people.<br> You don't simply validate what a stakeholder already believes.<br> You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness.<br> You know that being right isn't enough.<br> Your analysis only creates value if people understand it and act on it.<br> You can turn complex findings into a simple story and a clear recommendation.<br> You're a strong communicator.<br> You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership.<br> You're proactive and self-directed.<br> You don't wait for a ticket to appear in your queue.<br> You notice something worth investigating and take ownership of finding out what it means.<br> You're comfortable with ambiguity and a changing environment.<br> Not every question will have a clean dataset or obvious answer.<br> You know how to work with imperfect information while being transparent about its limitations.<br> You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams.<br> You're technically strong.<br> You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools.<br> You understand product metrics deeply , including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour.<br> You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means.<br> You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room.<br> You have professional working proficiency in English.<br> Nice to Have Experience designing or evaluating A/B tests and experiments.<br> Experience with statistical analysis.<br> Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance.<br> Experience building or improving a product analytics function or data culture.<br> Experience presenting product recommendations to senior leadership.<br> Working knowledge of Python or R.<br> Experience working with B2B SaaS, enterprise products, AI products, or complex data-driven platforms.<br> What the hiring process will look like Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next.<br> Analytics interview — A deeper discussion around your product analytics experience, technical capability, and how you approach ambiguous analytical problems.<br> Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend.<br> Presentation Interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence decisions based on the case study.<br> Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team.<br></span> </div>

<p>Result of Service Avoid any electrical problems or any malfunctioning in the electricity within UNSCOL premises.</p><p>Work Location UNSCOL</p><p>Expected duration 6 Months</p><p>Duties and Responsibilities Under the direct supervision of the Logistics Assistant, the incumbent shall perform the following tasks within UNSCOL Premises located at Villa Sehnaoui, Yarze, Baabda:</p><ul><li>Performing maintenance, inspection, repair, installation, testing and wiring of all electrical apparatus within UNSCOL premises.</li><li>Installing electrical components to architectural and code specifications.</li><li>Running wires through conduit.</li><li>Testing wiring connections with test equipment like volt/ohmmeters and oscilloscopes.</li><li>Test or repair electrical based equipment.</li><li>Assist or perform mechanical repairs, (such as 3-phase industrial breakers, running conduit, pulling wire and machine control panels bin.</li><li>Periodic inspections of equipment, test and replace circuit breakers and switches.</li><li>The electrician should assist in case of emergency 24 hours/7 days per week and should report to the premises as soon as called to fix the problems that may occur.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>High school diploma or equivalent.</li><li>Three years of experience in electrical repair and maintenance, or related area.</li><li>Fluency in Arabic and knowledge of English is required.</li><li>The individual contractor is expected to be residing in Lebanon and to report to duty in Baabda whenever needed and during emergencies, which may include weekends and at night.</li></ul>

<p>Result of Service Avoid any electrical problems or any malfunctioning in the electricity within UNSCOL premises.</p><p>Work Location UNSCOL</p><p>Expected duration 6 Months</p><p>Duties and Responsibilities Under the direct supervision of the Logistics Assistant, the incumbent shall perform the following tasks within UNSCOL Premises located at Villa Sehnaoui, Yarze, Baabda:</p><ul><li>Performing maintenance, inspection, repair, installation, testing and wiring of all electrical apparatus within UNSCOL premises.</li><li>Installing electrical components to architectural and code specifications.</li><li>Running wires through conduit.</li><li>Testing wiring connections with test equipment like volt/ohmmeters and oscilloscopes.</li><li>Test or repair electrical based equipment.</li><li>Assist or perform mechanical repairs, (such as 3-phase industrial breakers, running conduit, pulling wire and machine control panels bin.</li><li>Periodic inspections of equipment, test and replace circuit breakers and switches.</li><li>The electrician should assist in case of emergency 24 hours/7 days per week and should report to the premises as soon as called to fix the problems that may occur.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>High school diploma or equivalent.</li><li>Three years of experience in electrical repair and maintenance, or related area.</li><li>Fluency in Arabic and knowledge of English is required.</li><li>The individual contractor is expected to be residing in Lebanon and to report to duty in Baabda whenever needed and during emergencies, which may include weekends and at night.</li></ul>

<p><h4>Job description<\/h4>\n<p>Poynter Sheet Metal is one of the largest sheet metal companies in the nation. Poynter stands by its mission that <strong>\u201cWe are driven to achieve excellence as leaders in the industry and community through continuous improvement.\u201d<\/strong><\/p>\n<p>Poynter\u2019s professionals understand the importance of delivering exceptional quality with unmatched professionalism no matter how big or small the project. As a company built on innovation, we are determined to continue to advance in the industry by working diligently to improve our workflows and educating our personnel to stay on top of industry best practices.<\/p>\n<p>As a full-service sheet metal manufacturing company, our projects range from ventilation and exhaust systems, dust collection and extraction systems, vent and fume hoods, to architectural wraps and cladding, tanks and pressure vessels, structural components, handrails, paint and spray booths, machine guarding, duct cleaning services, and custom fabrication.<\/p>\n\n<h4>Responsibilities<\/h4>\n<p>As a Safety Manager, your key responsibility will be to manage and enforce Poynter's Safety Program for the assigned project(s) by identifying, eliminating, and controlling hazardous conditions that may lead to injury and\/or property damage. By using and enforcing job-specific safety standards, best management practices, and Poynter's safety program, the Safety Manager shall ensure the safety of all persons and property on the job site resulting in an accident\/incident-free project.<\/p>\n\n<h4>Essential functions<\/h4>\n<ul>\n <li>Conduct weekly \"Toolbox Safety Meeting\" and document content and attendance.<\/li>\n <li>Conduct safety training for new employees.<\/li>\n <li>Advise project staff on site-specific safety issues and guidelines.<\/li>\n <li>Provide leadership on the project and build working relationships with project staff and subcontractor safety representatives to ensure proper compliance.<\/li>\n <li>Evaluate the need for safety training and make recommendations.<\/li>\n <li>Educate and advise project staff on safety guidelines and policies.<\/li>\n <li>Collaborate with foremen on means and methods for performing high-risk activities such as excavations, fall protection, heavy equipment, etc.<\/li>\n <li>Monitor lockout\/tagout (LOTO) and pipe testing procedures.<\/li>\n<\/ul>\n\n<h4>Jobsite<\/h4>\n<ul>\n <li>Enforce safe work practices and safe working conditions in accordance with all state, federal, and local regulations (including OSHA), as well as Poynter company policies and owner\/contractual requirements.<\/li>\n <li>Conduct daily and\/or weekly (as appropriate or specified by job) job site inspections.<\/li>\n <li>Attend owner meetings.<\/li>\n <li>Record observations from site inspections and complete required reports.<\/li>\n <li>Investigate, corroborate, and document all accidents, incidents, and near misses on the jobsite.<\/li>\n <li>Recommend and implement corrective action based on policies, guidelines, and laws.<\/li>\n <li>Complete site walks at least 3 to 4 times per day.<\/li>\n<\/ul>\n\n<h4>Key attributes<\/h4>\n<ul>\n <li>Comfortable at the table with all levels of leadership.<\/li>\n <li>Collaborator.<\/li>\n <li>Integrity.<\/li>\n <li>Organized and systematic.<\/li>\n <li>Excellent verbal and written communication skills.<\/li>\n <li>Commitment to excellence.<\/li>\n<\/ul>\n\n<h4>What it takes<\/h4>\n<ul>\n <li>7+ years' safety experience in construction or a similar industry.<\/li>\n <li>Thorough knowledge of construction methods and OSHA standards.<\/li>\n <li>OSHA 30 certification.<\/li>\n <li>Able to successfully solve difficult contract and contract-related technical problems requiring excellent judgment.<\/li>\n <li>Must want to be in the field, not behind a desk.<\/li>\n <li>Basic working knowledge of MS Office and Windows.<\/li>\n<\/ul>\n\n<h4>Benefits<\/h4>\n<p>Poynter offers a unique opportunity for the right person to experience a variety of project work. Working at Poynter Sheet Metal, you can expect:<\/p>\n<ul>\n <li>A competitive compensation package.<\/li>\n <li>A comprehensive benefits package including medical, dental, vision, and 401(k) match.<\/li>\n <li>Basic life insurance, short-term and long-term insurance paid for by Poynter.<\/li>\n <li>Discretionary yearly bonus program.<\/li>\n <li>A generous paid time off (PTO) bank.<\/li>\n<\/ul><\/p><p><\/p>

<p>US-Based Architectural Lighting Company | International Projects</p><p>We are seeking a highly organized and proactive Executive Assistant to join our team at Bold Lighting in Dbayeh, Lebanon. The ideal candidate will possess exceptional multitasking skills and a strong attention to detail, helping to streamline processes and contribute to our company s success.</p><p>Responsibilities:</p><p>Administrative Support: Manage the CEO's calendar, schedule meetings, and coordinate travel arrangements across multiple time zones.</p><p>Communication: Serve as the primary point of contact between the CEO and internal/external stakeholders, handling correspondence with professionalism and discretion.</p><p>Meeting Management: Prepare agendas, take minutes, and ensure follow-up actions for meetings.</p><p>Project Assistance: Assist with special projects, research, and preparation of reports or presentations as required by the CEO.</p><p>Confidentiality: Handle sensitive information with the utmost confidentiality and maintain the highest standards of discretion.</p><p>Office Coordination: Collaborate with various departments to ensure seamless office operations aligned with the CEO s objectives.</p><p>Problem-Solving: Anticipate challenges and proactively identify solutions to streamline processes and support decision-making.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in business administration, Management, or a related field.</p><p>Minimum of 5 years of experience as an Executive Assistant, preferably supporting C- level executives.</p><p>Exceptional organizational and multitasking abilities, with attention to detail.</p><p>Strong verbal and written communication skills in English and Arabic (French is a plus).</p><p>Advanced proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and other productivity tools.</p><p>A professional demeanor and ability to manage high-pressure situations.</p><p>Strong interpersonal skills and cultural awareness, with the ability to work in a global environment.</p>

<p><h4>About Lucidya</h4> <p>Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand their customers and take action across the entire customer lifecycle.</p> <p>Our platform brings together products including Social Listening, OmniServe, Survey, and AI Agent, helping enterprise organizations across the region turn customer data into better experiences and measurable business outcomes.</p> <p>As we continue to scale our products, customers, and AI capabilities, the amount of data we generate is growing rapidly. The opportunity is no longer simply to report on what happened - it's to understand why it happened, what it means, and what we should do next.</p> <h4>Why this role matters</h4> <p>We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates.</p> <p>This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made. You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.</p> <p>You'll operate at two levels.</p> <p>At the product and feature level, you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building. You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop.</p> <p>At the leadership level, you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.</p> <p>The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.</p> <h4>What you'll do</h4> <ul> <li>Turn product data into decisions. You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result.</li> <li>Help teams define what success actually means. You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched.</li> <li>Understand how customers use our products. You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck.</li> <li>Evaluate whether our products are delivering value. You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives.</li> <li>Bring insights into product discovery. You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist.</li> <li>Challenge assumptions with evidence. When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, “What does the data actually tell us?” — constructively and without creating friction.</li> <li>Identify opportunities before you're asked. You won't wait for a stakeholder to request a report. You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter.</li> <li>Support experimentation. You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us.</li> <li>Make complex analysis easy to understand. You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences.</li> <li>Give leadership a clear view of product performance. You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers.</li> <li>Help Product become more self-sufficient with data. You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question.</li> <li>Raise data literacy across Product. You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works.</li> <li>Build trust across teams. You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority.</li> </ul> <h4>What success looks like</h4> <p>In your first 3-6 months, you'll be building trust. Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.</p> <p>As you establish yourself, you'll start changing how decisions are made. Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.</p> <p>Ultimately, success means Product becomes more intelligent. Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions.</p> <p>The shift we're looking for is simple:</p> <p>From “What happened?” ? “Why did it happen?” ? “What should we do about it?”</p> <h4>Requirements</h4> <h4>Who you are</h4> <ul> <li>You're naturally curious. When you see an unexpected number, you don't just add it to a report — you want to know what's behind it.</li> <li>You think commercially, not just analytically. You understand that an interesting insight isn't necessarily a useful one. You can connect product behaviour to customer value, business performance, and investment decisions.</li> <li>You don't need to be given the question. You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it.</li> <li>You can zoom in and out. You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy.</li> <li>You're willing to challenge people. You don't simply validate what a stakeholder already believes. You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness.</li> <li>You know that being right isn't enough. Your analysis only creates value if people understand it and act on it. You can turn complex findings into a simple story and a clear recommendation.</li> <li>You're a strong communicator. You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership.</li> <li>You're proactive and self-directed. You don't wait for a ticket to appear in your queue. You notice something worth investigating and take ownership of finding out what it means.</li> <li>You're comfortable with ambiguity and a changing environment. Not every question will have a clean dataset or obvious answer. You know how to work with imperfect information while being transparent about its limitations.</li> <li>You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams.</li> <li>You're technically strong. You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools.</li> <li>You understand product metrics deeply, including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour.</li> <li>You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means.</li> <li>You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room.</li> <li>You have professional working proficiency in English.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience designing or evaluating A/B tests and experiments.</li> <li>Experience with statistical analysis.</li> <li>Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance.</li> <li>Experience building or improving a product analytics function or data culture.</li> <li>Experience presenting product recommendations to senior leadership.</li> <li>Working knowledge of Python or R.</li> <li>Experience working with B2B SaaS, enterprise products, AI products, or complex data-driven platforms.</li> </ul> <h4>What the hiring process will look like</h4> <ul> <li>Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next.</li> <li>Analytics interview — A deeper discussion around your product analytics experience, technical capability, and how you approach ambiguous analytical problems.</li> <li>Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend.</li> <li>Presentation interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence decisions based on the case study.</li> <li>Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team.</li> </ul></p><p></p>

<p>Review and optimize mechanical designs and prepare accurate engineering calculations, coordinated shop drawings, and BIM models for HVAC, Plumbing, and Fire Fighting systems using AutoCAD and Revit. Ensure compliance with project specifications, applicable codes, and company standards while supporting the successful execution of projects.</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><ul><li>Review contract documents, specifications, drawings, and project requirements.</li><li>Review and optimize mechanical designs, engineering calculations, and system layouts for HVAC, Plumbing, and Fire Fighting systems.</li><li>Prepare detailed and coordinated shop drawings and BIM models using AutoCAD and Revit.</li><li>Perform equipment selection and engineering calculations, including HVAC load calculations, ventilation calculations, hydraulic calculations, and pipe and duct sizing.</li><li>Coordinate mechanical systems with architectural, structural, electrical, plumbing, and other building disciplines to resolve clashes and ensure constructability.</li><li>Prepare material schedules, equipment schedules, and technical submittals.</li><li>Ensure compliance with project specifications, applicable codes, and client requirements.</li><li>Review consultant comments and revise drawings accordingly.</li><li>Attend coordination meetings and provide technical support during project execution.</li><li>Support procurement and site teams by resolving technical queries and issuing drawing revisions when required.</li><li>Support quantity take-offs from BIM models and shop drawings when required.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Technical Skills</strong></li><li>Strong knowledge of HVAC, Plumbing, and Fire Fighting systems.</li><li>Knowledge of HVAC load calculations, hydraulic calculations, ventilation, and equipment selection.</li><li>Familiarity with international standards and codes, including ASHRAE, NFPA, SMACNA, IPC/UPC, and NF.</li><li>Proficiency in AutoCAD and Revit MEP.</li><li>Knowledge of Navisworks is preferred.</li><li>Experience with HVAC design software such as HAP or equivalent.</li><li>Proficiency in Microsoft Office Suite.</li><li><strong>Soft Skills</strong></li><li>Attention to detail and accuracy.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and interpersonal skills.</li><li>Teamwork and collaboration.</li><li>Time management and ability to work under pressure.</li><li>Adaptability and willingness to learn.</li><li>Professionalism, integrity, and accountability.</li><li>Self-motivation and reliability.</li><li><strong>Prerequisites</strong></li><li>Bachelor s degree in Mechanical Engineering.</li><li>Minimum 3 5 years of experience in mechanical design and shop drawing preparation.</li><li>Experience in HVAC, Plumbing, and Fire Fighting system design.</li><li>Proficiency in AutoCAD, Revit MEP, and Microsoft Office.</li><li>Knowledge of HAP is an advantage.</li><li>Good command of both English and French is required.</li></ul>