Architect Jobs in Lebanon

<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fill statistical gaps, produce near-real-time indicators, and support monitoring where conventional data are sparse, outdated or disrupted by conflict.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>

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 is not a role where you spend your week pulling reports people may or may not look at.<br> 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.<br> 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.<br> You will have significant freedom to identify problems and build solutions.</p> <h4>What success looks like</h4> <p>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> <h4>What you’ll do</h4> <strong>Revenue operations & analytics</strong> <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 go-to-market 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> <strong>HubSpot ownership & RevOps</strong> <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> <strong>AI agents & automation</strong> <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> <strong>Data quality & infrastructure</strong> <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> <h4>Requirements</h4> <ul> <li>2–5 years of experience in data analytics, revenue operations, business operations, or a similar analytical role</li> <li>Strong hands-on experience with HubSpot</li> <li>Experience working with sales, customer success, marketing, or broader go-to-market organizations</li> <li>Strong SQL and data analysis skills</li> <li>Experience building dashboards and reporting using BI or visualization tools</li> <li>Advanced Excel or Google Sheets capabilities</li> <li>Comfortable working with imperfect datasets and figuring out how to make them useful</li> <li>Experience designing workflows and automating business processes</li> <li>Ability to translate analysis into clear business recommendations</li> <li>Strong curiosity and willingness to dig into how the business actually works</li> <li>Comfortable operating in a fast-moving environment where not everything has already been built</li> </ul> <h4>AI & automation experience</h4> <p>We are specifically looking for someone who is excited about using AI as a practical business tool.<br> 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.<br> 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> <h4>You’ll thrive here if…</h4> <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> <h4>What you’ll get</h4> <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>Exposure across sales, customer success, marketing, payments, product, engineering, and finance</li> <li>The ability to experiment with and implement emerging AI technologies</li> <li>A growing international software business with significant investment behind its next stage of growth</li> <li>The opportunity to materially influence how Clubspeed and Resova operate as we scale</li> </ul>

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>We're looking for an AI Developer to join Klopotek's engineering team from our Beirut office. You will work remotely alongside our development team in Gioia del Colle, Italy – designing, building and running AI-powered capabilities inside the software that runs the publishing operations of major global publishers.</p> <p>This is a hands-on engineering role, not a research position. You will integrate large language models into production systems: retrieval over our product knowledge, AI assistants for support and operations, agentic workflows that act on real business data, and AI features inside our products. Our core platform is built on Java and Oracle, so you will work close to that stack – connecting AI services to existing APIs, data and business logic, and making them reliable, secure and measurable.</p> <p>You will be joining a small but growing Klopotek team in Lebanon – four colleagues are already working with us from Beirut, and this role is part of a deliberate expansion of our engineering presence there. You'll have a genuine peer group locally, and work closely with the Italian development team day to day.</p> <p>This is not a role that rewards knowing the right buzzwords. It is a role for someone who is self-driven, technically grounded and genuinely excited about learning – someone who can tell a convincing prototype from a dependable product, and who takes ownership from idea through to production.</p> <h4>What you'll do</h4> <ul> <li>Design, build and run LLM-powered features and services – from first prototype to monitored production</li> <li>Build retrieval-augmented generation (RAG) pipelines over product documentation, configuration knowledge and support history: ingestion, chunking, embeddings, search and ranking</li> <li>Develop agentic workflows and tool integrations (e.g. via the Model Context Protocol) that let AI work safely with our APIs, ticketing systems and business data</li> <li>Integrate AI services with our Java backend services, REST APIs and Oracle databases</li> <li>Build evaluation suites and test sets so we know – with numbers – whether a change makes an AI feature better or worse</li> <li>Engineer prompts, context and guardrails; handle hallucination, data privacy, access control and cost from the start, not as an afterthought</li> <li>Monitor AI features in production: quality, latency, token cost and failure modes – and improve them continuously</li> <li>Work with support, product and operations colleagues to turn real use cases into tools people actually use</li> <li>Collaborate asynchronously and synchronously with the Italian development team and cross-functional stakeholders</li> <li>Participate in code reviews – give and receive honest, constructive feedback</li> <li>Share what you learn: help other developers adopt AI-assisted development and write documentation the next person can actually use</li> <li>Use AI coding tools actively and critically in your own work – while taking full ownership of what ships</li> </ul> <h4>How you work</h4> <p>We're hiring for mindset as much as skills. The right person for this role:</p> <ul> <li>Is genuinely curious and self-driven – you follow the field because you want to, and you can separate real progress from hype</li> <li>Is sceptical by default – you measure before you believe, and you know a good demo is not proof</li> <li>Thinks in systems – you consider how models, data, APIs and people interact, where things break, and how to design for resilience, not just the happy path</li> <li>Solves problems even when the path isn't obvious – you investigate, experiment, and iterate</li> <li>Thinks about the user – you build AI features that fit how people actually work, not features that show off the technology</li> <li>Communicates clearly and proactively in a distributed team – you don't wait to be chased, you flag blockers early and keep colleagues informed</li> <li>Challenges ideas constructively and is comfortable being challenged in return</li> <li>Takes ownership of features end-to-end, not just your assigned ticket</li> <li>Is comfortable with ambiguity and fast-changing tools and requirements</li> </ul> <h4>Requirements</h4> <ul> <li>Proven experience building and shipping LLM-based applications to real users – not only experiments or tutorials</li> <li>Hands-on experience with LLM APIs (e.g. Anthropic Claude, OpenAI, Azure OpenAI) including tool use / function calling and structured outputs</li> <li>Practical RAG experience: embeddings, vector or hybrid search, chunking strategies, and judging retrieval quality</li> <li>Solid software engineering in Python and/or Java – clean, tested, maintainable code; comfortable working in an existing Java backend</li> <li>API and integration skills: REST, JSON, authentication, and connecting services to existing business systems</li> <li>Relational database fluency – strong SQL; Oracle experience preferred, PostgreSQL or MySQL accepted</li> <li>A habit of evaluating AI output systematically – test sets, metrics, regression checks – rather than by impression</li> <li>Strong problem-solving skills and the ability to work independently and collaboratively</li> <li>Experience with Agile methodologies and fast-paced delivery cycles</li> <li>Professional-level English, written and verbal – your primary working language with the Italian team</li> </ul> <h4>Nice to have</h4> <ul> <li>Agent frameworks and protocols (Model Context Protocol, LangChain/LangGraph, LlamaIndex, Spring AI or similar)</li> <li>Experience with vector databases or search engines (pgvector, Oracle AI Vector Search, Elasticsearch/OpenSearch, Azure AI Search)</li> <li>LLM observability and evaluation tooling (e.g. Langfuse, LangSmith, promptfoo or your own)</li> <li>Java with Spring Boot or JAX-RS, JPA/Hibernate</li> <li>Containerisation and deployment (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitHub Actions or equivalent)</li> <li>Cloud experience, especially Azure (also AWS)</li> <li>Security for AI systems: prompt injection, data leakage, access control, GDPR</li> <li>Familiarity with Keycloak, OpenID Connect, OAuth 2 or JWT</li> <li>Frontend basics (TypeScript, Angular) to build simple user interfaces for AI features</li> <li>Domain experience in publishing, rights & royalties, or enterprise support and service management</li> </ul> <p>You don't need to tick every box. We value the ability to learn quickly and adapt over an exact match on the tech stack.</p> <h4>What we value</h4> <ul> <li>Learning over knowing</li> <li>Evidence over hype</li> <li>Adaptability over rigidity</li> <li>Problem-solving over box-ticking</li> <li>Ownership over task execution</li> <li>Honest, direct collaboration over hierarchy and an honest feedback culture</li> </ul>

Aspire Software is looking for a data analyst to join our team in Lebanon.</p> <h4>About Aspire Software</h4> <p>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. Its decentralized operating model has allowed it to become a hub for rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This is not a role where you spend your week pulling reports people may or may not look at.</p> <p>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.</p> <p>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, improve how our teams operate, and build AI agents and automations that remove repetitive work.</p> <p>You will have significant freedom to identify problems and build solutions.</p> <h4>What success looks like</h4> <p>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> <h4>What you’ll do</h4> <p><strong>Revenue operations and analytics</strong></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 go-to-market 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><strong>HubSpot ownership and RevOps</strong></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><strong>AI agents and automation</strong></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 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><strong>Data quality and infrastructure</strong></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> <h4>Requirements</h4> <ul> <li>Two to five years of experience in data analytics, Revenue Operations, Business Operations, or a similar analytical role.</li> <li>Strong hands-on experience with HubSpot.</li> <li>Experience working with Sales, Customer Success, Marketing, or broader go-to-market organizations.</li> <li>Strong SQL and data analysis skills.</li> <li>Experience building dashboards and reporting using business intelligence or visualization tools.</li> <li>Advanced Excel or Google Sheets capabilities.</li> <li>Comfort working with imperfect datasets and figuring out how to make them useful.</li> <li>Experience designing workflows and automating business processes.</li> <li>Ability to translate analysis into clear business recommendations.</li> <li>Strong curiosity and willingness to dig into how the business actually works.</li> <li>Comfort operating in a fast-moving environment where not everything has already been built.</li> </ul> <h4>AI and automation experience</h4> <p>We are specifically looking for someone who is excited about using AI as a practical business tool.</p> <p>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> <h4>You’ll thrive here if</h4> <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> <h4>What you’ll get</h4> <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>Exposure across Sales, Customer Success, Marketing, Payments, Product, Engineering, and Finance.</li> <li>The ability to experiment with and implement emerging AI technologies.</li> <li>A growing international software business with significant investment behind its next stage of growth.</li> <li>The opportunity to materially influence how Clubspeed and Resova operate as we scale.</li> </ul>

<p><br></p> <p> <strong>Organizational Context and Scope</strong> </p> <p>The the International Organization for Migration (IOM) office in Lebanon is responding to changing border management needs in a complex operational and humanitarian setting, particularly at land borders. Mixed migration flows and increased mobility influenced by regional dynamics highlight the need for enhanced operational capacity to ensure safe, orderly, and effective border operations. In this context, IOM Lebanon supports national border management authorities to strengthen border infrastructure and operational readiness. This includes interventions supporting the rehabilitation, upgrade or full reconstruction of key border crossing points across the country. </p> <p>Under the overall supervision of the Immigration and Border Governance (IBG) Programme Manager, under the direct supervision of the Infrastructure Coordinator, the National Project Officer <br>Construction Engineer will be responsible for supporting the planning, coordination and implementation of the infrastructure projects under the IBG Programme. </p> <p> <strong>Required Qualifications and Experience</strong> </p> <p> <strong>Education</strong> </p> <ul> <li>Master s degree in civil engineering, Structural Engineering, Construction Management, or a related field from an accredited academic institution with two years of relevant professional experience; or,</li> <li>Bachelor s degree in the above fields with four years of relevant professional experience.</li> <li>Accredited Universities are those listed in the UNESCO World Higher Education Database. </li> </ul> <p> <strong>Experience</strong> </p> <ul> <li>Progressive professional experience in large-scale civil engineering and infrastructure development projects;</li> <li>Demonstrated experience in the design, rehabilitation, and construction of public infrastructure and institutional facilities, including preparation and review of technical documentation such as drawings, BOQs, technical specifications, and cost estimates;</li> <li>Experience working with governmental authorities, UN agencies, donors, and other stakeholders in a multi-partner environment, including familiarity with UN and bilateral donor programming, reporting requirements, and compliance standards;</li> <li>Experience in border infrastructure projects, including the design, construction and rehabilitation of border crossing points, is a strong advantage;</li> </ul> <p> </p> <p> <strong>Skills</strong> </p> <ul> <li>Excellent organisational skills;</li> <li>Ability to work under pressure and meet deadlines in a fast-paced and detail-oriented team environment;</li> <li>Proven ability to work effectively with contractors and engineering/design firms;</li> <li>Strong technical knowledge of civil, electrical, mechanical engineering, and construction management principles;</li> <li>Proficient use of AutoCad, Revite, and other relevant Engineering and Project Management software;</li> <li>Proficient use of Microsoft Office (Outlook, Word, Excel);</li> <li>Knowledge of the UN System, NGOs, and other international organisations/institutions.</li> </ul> <p> </p> <p> <strong>Languages</strong> </p> <p>All IOM staff members in all categories are required to be fluent in one of the IOM's official languages (English, French, Spanish). </p> <p>For this position, fluency in Arabic and English is required (oral and written). Working knowledge of French is desirable. </p> <p>Proficiency of language(s) required will be specifically evaluated during the selection process, which may include written and/or oral assessments. </p> <p> <strong>Required Competencies</strong> </p> <p>IOM s competency framework can be found at this link . Competencies will be assessed during the selection process. </p> <p> <strong>Values </strong>- all IOM staff members must abide by and demonstrate these five values:</p> <ul> <li> <strong>Inclusion and respect for diversity</strong>: Respects and promotes individual and cultural differences. Encourages diversity and inclusion.</li> <li> <strong>Integrity and transparency</strong>: Maintains high ethical standards and acts in a manner consistent with organizational principles/rules and standards of conduct.</li> <li> <strong>Professionalism</strong>: Demonstrates ability to work in a composed, competent and committed manner and exercises careful judgment in meeting day-to-day challenges.</li> <li> <strong>Courage</strong>: Demonstrates willingness to take a stand on issues of importance.</li> <li> <strong>Empathy</strong>: Shows compassion for others, makes people feel safe, respected and fairly treated.</li> </ul> <p> <strong>Core Competencies</strong> behavioural indicators Level 2</p> <ul> <li> <strong>Teamwork</strong>: Develops and promotes effective collaboration within and across units to achieve shared goals and optimize results.</li> <li> <strong>Delivering results</strong>: Produces and delivers quality results in a service-oriented and timely manner. Is action oriented and committed to achieving agreed outcomes.</li> <li> <strong>Managing and sharing knowledge</strong>: Continuously seeks to learn, share knowledge and innovate.</li> <li> <strong>Accountability</strong>: Takes ownership for achieving the Organization s priorities and assumes responsibility for own actions and delegated work.</li> <li> <strong>Communication</strong>: Encourages and contributes to clear and open communication. Explains complex matters in an informative, inspiring and motivational way.</li> </ul> <p> <strong>Managerial Competencies</strong> behavioural indicators Level 2, if with direct reports</p> <ul> <li> <strong>Leadership</strong>: Provides a clear sense of direction, leads by example and demonstrates the ability to carry out the Organization s vision. Assists others to realize and develop their leadership and professional potential.</li> <li> <strong>Empowering others</strong>: Creates an enabling environment where staff can contribute their best and develop their potential.</li> <li> <strong>Building Trust</strong>: Promotes shared values and creates an atmosphere of trust and honesty.</li> <li> <strong>Strategic thinking and vision</strong>: Works strategically to realize the Organization s goals and communicates a clear strategic direction.</li> <li> <strong>Humility</strong>: Leads with humility and shows openness to acknowledging own shortcomings. </li> </ul> <p><br></p><ol> </ol><p><strong>Desired Candidate Profile</strong></p><strong>Education</strong> <ul> <li>Master s degree in civil engineering, Structural Engineering, Construction Management, or a related field from an accredited academic institution with two years of relevant professional experience; or,</li> <li>Bachelor s degree in the above fields with four years of relevant professional experience.</li> <li>Accredited Universities are those listed in the UNESCO World Higher Education Database. </li> </ul> <p> <strong>Experience</strong> </p> <ul> <li>Progressive professional experience in large-scale civil engineering and infrastructure development projects;</li> <li>Demonstrated experience in the design, rehabilitation, and construction of public infrastructure and institutional facilities, including preparation and review of technical documentation such as drawings, BOQs, technical specifications, and cost estimates;</li> <li>Experience working with governmental authorities, UN agencies, donors, and other stakeholders in a multi-partner environment, including familiarity with UN and bilateral donor programming, reporting requirements, and compliance standards;</li> <li>Experience in border infrastructure projects, including the design, construction and rehabilitation of border crossing points, is a strong advantage;</li> </ul> <p> </p> <p> <strong>Skills</strong> </p> <ul> <li>Excellent organisational skills;</li> <li>Ability to work under pressure and meet deadlines in a fast-paced and detail-oriented team environment;</li> <li>Proven ability to work effectively with contractors and engineering/design firms;</li> <li>Strong technical knowledge of civil, electrical, mechanical engineering, and construction management principles;</li> <li>Proficient use of AutoCad, Revite, and other relevant Engineering and Project Management software;</li> <li>Proficient use of Microsoft Office (Outlook, Word, Excel);</li> <li>Knowledge of the UN System, NGOs, and other international organisations/institutions.</li> </ul> <p> </p> <p> <strong>Languages</strong> </p> <p>All IOM staff members in all categories are required to be fluent in one of the IOM's official languages (English, French, Spanish). </p> <p>For this position, fluency in Arabic and English is required (oral and written). Working knowledge of French is desirable. </p>

<p>Company: Blueprint Design &amp; fit out.</p><p>Position: Junior Interior Designer or Architect.</p><p>Type of work: Full-time</p><p>Location: Achrafieh</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Architect or interior Designer.</li><li>Professional experience (2-4 years preferred)</li><li>Proficiency in AutoCAD 2D/ 3D, and other design softwares</li><li>Detail oriented and problem-solving skills.</li><li>Good attention to detail in drawings from the design to execution phase.</li><li>Coordinate with engineers and different trades throughout all project phases</li><li>Ability to work within a team environment &amp; independently</li></ul>

<p>Site Architect/Civil 7Y+ experience in fit out works is required for a company located in Beirut; Duties include: managing parts of construction projects. checking technical designs and drawings for accuracy and to ensure that they are followed correctly. supervising contracted staff. Ensuring materials delivered meet agreed specifications. liaising with Client s architect, subcontractors etc providing technical advice and solving problems on site. preparing site reports and logging progress. ensuring that health and safety and sustainability policies and legislation are adhered to.</p><p><strong>Desired Candidate Profile</strong></p><p>7Y+ experience in fit out works</p>

<p><b>PRIMETALENT IS HIRING</b><br>We are hiring a Senior Interior Designer / Architect for a reputable Company in Downtown area. <br> <br>Key Responsibilities: <br> Coordinate with consultants, contractors &amp; suppliers <br> Produce detailed drawings and FF&amp;E specifications <br> Supervise designers, site execution &amp; deadlines <br> Develop interior design concepts &amp; layouts <br> Prepare mood boards &amp; material selections <br> <br>We are Offering: <br> Working Days: Mon Fri from 8:00 AM till 5:00 PM <br> Salary around $2,000 2,500 <br> </p><p><strong>Desired Candidate Profile</strong></p><p>Key Qualifications: <br> Proficiency in materials, finishes, FF&amp;E and joinery detailing <br> 5+ years of experience as an Interior Designer <br> Bachelor degree in Interior Design / Architect <br> Age between 25 - 40 <br> Fluency in English <br> </p>

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 role</h4> <p>The DevOps Engineer – Azure owns the infrastructure-as-code and CI/CD foundation for our SaaS platform. This is a hands-on role focused on defining, deploying, and evolving our Azure environment through code and GitHub Actions, across multi-region production in Canada and the United States as well as our development, QA, and staging environments.</p> <p>You will work closely with Developers, QA, and Product to make infrastructure changes safe, repeatable, and fast. You will own the Infrastructure-as-Code codebase and deployment workflows, keep environments consistent, and handle occasional database tasks as they come up. Priority will be given to AI-enabled DevOps engineers who leverage agentic workflows in their day-to-day work.</p> <p>What “good” looks like in this role: infrastructure changes go through pull requests, plan/what-if reviews, and GitHub Actions, not the portal; environments are reproducible and consistent across regions; deployments are repeatable, observable, and easy to roll back; configuration drift is caught and corrected before it causes an incident.</p> <h4>Infrastructure you will manage</h4> <p>This role is responsible for the Azure infrastructure that runs the Bids & Tenders platform, including:</p> <ul> <li><strong>Application hosting & compute</strong><br> Azure App Service (web apps, App Service plans, and WebJobs) hosting the buyer, supplier, and partner-facing tiers.<br> Azure Functions and Logic Apps for event-driven, scheduled, and integration workloads.<br> Azure Kubernetes Service (AKS) clusters, with images built and stored in Azure Container Registry.<br> Azure Virtual Machines for supporting services such as Elasticsearch, email relay, and network security appliances. </li> <li><strong>Edge, networking & security</strong><br> Azure Front Door with Web Application Firewall (WAF) policies, and public DNS zones for the domains.<br> Virtual Networks, Network Security Groups, Private Endpoints, Private DNS zones, DNS Private Resolver, load balancers, NAT Gateway, and Azure Bastion.<br> Azure Key Vault (secrets and TLS certificates) and user-assigned managed identities. </li> <li><strong>Data, caching & messaging</strong><br> Azure SQL (including disaster-recovery replicas in paired regions) and Azure Database for PostgreSQL Flexible Server.<br> Azure Cache for Redis / Redis Enterprise and Azure Storage accounts.<br> Azure Service Bus, Event Grid, and Azure API Management. </li> <li><strong>Operations & observability</strong><br> Azure Monitor and Azure Managed Grafana, Azure Automation, and Recovery Services vaults.<br> GitHub-hosted runners connected to Azure private networking for CI/CD. </li> </ul> <h4>Key accountabilities & responsibilities</h4> <ul> <li><strong>Infrastructure-as-Code (Azure)</strong><br> Own the Infrastructure-as-Code codebase for the Azure environment; manual portal changes should be rare and quickly codified.<br> Bring existing manually created resources under code management, and detect and resolve configuration drift.<br> Build reusable modules and enforce consistent standards for naming, tagging, and resource group structure across regions and environments.<br> Apply secure defaults and policy-as-code (Azure Policy, RBAC) so new infrastructure is compliant from the start. </li> <li><strong>GitHub Actions & CI/CD</strong><br> Design, build, and maintain GitHub Actions workflows for infrastructure and application deployments to App Service, Functions, Logic Apps, and AKS.<br> Authenticate workflows to Azure using OIDC/workload identity federation rather than long-lived secrets; manage GitHub environments, approvals, and branch protections.<br> Maintain private-networked runners and container image pipelines using Azure Container Registry.<br> Build safety gates into pipelines: plan/what-if output on pull requests, linting and security scanning, automated tests, and clear rollback paths.<br> Partner with QA to keep development, QA, and staging environments stable, reproducible, and production-like. </li> <li><strong>Azure platform operations</strong><br> Operate and evolve the platform across Canadian and US regions, including multi-region and disaster-recovery configuration.<br> Manage networking and edge security: Front Door, WAF, DNS, private networking, and Network Security Groups.<br> Manage secrets, certificates, and identity using Azure Key Vault, managed identities, and Microsoft Entra ID.<br> Monitor platform health and alerting with Azure Monitor, Log Analytics, and Managed Grafana; respond to incidents and drive lasting fixes. </li> <li><strong>Database support</strong><br> Handle occasional database tasks on Azure SQL and PostgreSQL Flexible Server, such as provisioning through code, configuration changes, backup and geo-replication checks, and supporting engineering teams on performance issues. </li> <li><strong>Automation & AI-assisted engineering</strong><br> Build automation in PowerShell, Bash, and Azure CLI, including Azure Automation runbooks, to remove repetitive operational work.<br> Use AI-assisted tooling and agentic workflows to accelerate infrastructure changes, investigations, and routine operations, with sound review practices in place. </li> <li><strong>Collaboration, incident response & communication</strong><br> Partner with Developers, Product Managers, and QA to resolve issues and improve reliability outcomes.<br> Lead or join incident triage and root-cause discussions; write clear, blameless post-incident reviews.<br> Communicate risks, changes, and release impacts in plain language with evidence attached.<br> Share knowledge: keep runbooks, architecture notes, and operational how-tos current for the team. </li> <li><strong>Other duties</strong><br> Perform related duties as assigned to support platform reliability and team delivery. </li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree or diploma in Computer Science, Software Engineering, Information Technology, or a related field. Equivalent combination of education and relevant experience will be considered.</li> <li>3+ years in a DevOps, platform, or cloud infrastructure role, with a primary focus on Microsoft Azure.</li> <li>Strong hands-on Infrastructure-as-Code experience in production Azure environments including reusable modules, deployment/state management, and drift remediation.</li> <li>Hands-on experience building and maintaining GitHub Actions workflows, including reusable workflows, environments and approvals, and OIDC authentication to Azure.</li> <li>Production experience with Azure App Service, Azure Functions, and AKS.</li> <li>Solid understanding of Azure networking and security fundamentals.</li> <li>Scripting proficiency in PowerShell and Bash, along with Azure CLI.</li> <li>Demonstrated use of AI-assisted tooling or agentic workflows in day-to-day engineering work.</li> </ul> <h4>Azure & platform</h4> <ul> <li>Experience with Virtual Networks, Network Security Groups, Private Endpoints, Private DNS, Microsoft Entra ID, RBAC, managed identities, and Key Vault.</li> <li>Experience with Azure Front Door, WAF, DNS management, and TLS certificate lifecycle.</li> <li>Experience with containers and Kubernetes: Docker, Helm, Azure Container Registry, and AKS upgrades.</li> <li>Familiarity with Azure Service Bus, Event Grid, Logic Apps, and API Management.</li> <li>Observability experience with Azure Monitor, Log Analytics (KQL), and Grafana.</li> <li>Working knowledge of Azure SQL and PostgreSQL (backups, geo-replication, basic performance tuning) sufficient for occasional database tasks as well as experience with Elasticsearch.</li> <li>Microsoft Azure certifications (e.g., AZ-104, AZ-400) are an asset.</li> </ul> <h4>Tech stack</h4> <ul> <li>Microsoft Azure (App Service, Functions, Logic Apps, AKS, Front Door)</li> <li>Bicep / Terraform / Other</li> <li>GitHub and GitHub Actions</li> <li>Docker, Helm, Azure Container Registry</li> <li>PowerShell, Bash, Azure CLI</li> <li>Azure SQL, PostgreSQL Flexible Server, Redis</li> <li>Azure Monitor, Log Analytics, Managed Grafana</li> <li>AI-assisted tooling and agentic workflows</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>

<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><b>About the job: </b></p> <p>We're looking for an AI Developer to join Klopotek's engineering team from our Beirut office. You will work remotely alongside our development team in Gioia del Colle, Italy designing, building and running AI-powered capabilities inside the software that runs the publishing operations of major global publishers.</p> <p>This is a hands-on engineering role, not a research position. You will integrate large language models into production systems: retrieval over our product knowledge, AI assistants for support and operations, agentic workflows that act on real business data, and AI features inside our products. Our core platform is built on Java and Oracle, so you will work close to that stack connecting AI services to existing APIs, data and business logic, and making them reliable, secure and measurable.</p> <p>You will be joining a small but growing Klopotek team in Lebanon four colleagues are already working with us from Beirut, and this role is part of a deliberate expansion of our engineering presence there. You'll have a genuine peer group locally, and work closely with the Italian development team day to day.</p> <p>This is not a role that rewards knowing the right buzzwords. It is a role for someone who is selfdriven, technically grounded and genuinely excited about learning someone who can tell a convincing prototype from a dependable product, and who takes ownership from idea through to production.</p> <p> </p> <p><b>What You'll Do</b></p> <ul> <li>Design, build and run LLM-powered features and services from first prototype to monitored production</li> <li>Build retrieval-augmented generation (RAG) pipelines over product documentation, configuration knowledge and support history: ingestion, chunking, embeddings, search and ranking</li> <li>Develop agentic workflows and tool integrations (e.g. via the Model Context Protocol) that let AI work safely with our APIs, ticketing systems and business data</li> <li>Integrate AI services with our Java backend services, REST APIs and Oracle databases</li> <li>Build evaluation suites and test sets so we know with numbers whether a change makes an AI feature better or worse</li> </ul> <ul> <li>Engineer prompts, context and guardrails; handle hallucination, data privacy, access control and cost from the start, not as an afterthought</li> <li>Monitor AI features in production: quality, latency, token cost and failure modes and improve them continuously</li> <li>Work with support, product and operations colleagues to turn real use cases into tools people actually use</li> <li>Collaborate asynchronously and synchronously with the Italian development team and crossfunctional stakeholders</li> <li>Participate in code reviews give and receive honest, constructive feedback</li> <li>Share what you learn: help other developers adopt AI-assisted development and write documentation the next person can actually use</li> <li>Use AI coding tools actively and critically in your own work while taking full ownership of what ships</li> </ul> <p>How You Work</p> <p>We're hiring for mindset as much as skills. The right person for this role:</p> <ul> <li>Is genuinely curious and self-driven you follow the field because you want to, and you can separate real progress from hype</li> <li>Is sceptical by default you measure before you believe, and you know a good demo is not proof</li> <li>Thinks in systems you consider how models, data, APIs and people interact, where things break, and how to design for resilience, not just the happy path</li> <li>Solves problems even when the path isn't obvious you investigate, experiment, and iterate</li> <li>Thinks about the user you build AI features that fit how people actually work, not features that show off the technology</li> <li>Communicates clearly and proactively in a distributed team you don't wait to be chased, you flag blockers early and keep colleagues informed</li> <li>Challenges ideas constructively and is comfortable being challenged in returnTakes ownership of features end-to-end, not just your assigned ticket</li> <li>Is comfortable with ambiguity and fast-changing tools and requirements</li> <li> </li> </ul><ul> <li> Proven experience building and shipping LLM-based applications to real users not only experiments or tutorials</li> <li>Hands-on experience with LLM APIs (e.g. Anthropic Claude, OpenAI, Azure OpenAI) including tool use / function calling and structured outputs</li> <li>Practical RAG experience: embeddings, vector or hybrid search, chunking strategies, and judging retrieval quality</li> <li>Solid software engineering in Python and/or Java clean, tested, maintainable code; comfortable working in an existing Java backend</li> <li>API and integration skills: REST, JSON, authentication, and connecting services to existing business systems</li> <li>Relational database fluency strong SQL; Oracle experience preferred, PostgreSQL or MySQLaccepted</li> <li>A habit of evaluating AI output systematically test sets, metrics, regression checks rather than by impression</li> <li>Strong problem-solving skills and the ability to work independently and collaboratively</li> <li>Experience with Agile methodologies and fast-paced delivery cycles</li> <li>Professional-level English, written and verbal your primary working language with the Italian team</li> </ul> <p> </p> <p>Nice to Have</p> <ul> <li>Agent frameworks and protocols (Model Context Protocol, LangChain/LangGraph, LlamaIndex, Spring AI or similar)</li> <li>Experience with vector databases or search engines (pgvector, Oracle AI Vector Search, Elasticsearch/OpenSearch, Azure AI Search)</li> <li>LLM observability and evaluation tooling (e.g. Langfuse, LangSmith, promptfoo or your own)</li> <li>Java with Spring Boot or JAX-RS, JPA/Hibernate</li> <li>Containerisation and deployment (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitHub Actions or equivalent)</li> <li>Cloud experience, especially Azure (also AWS)</li> <li>Security for AI systems: prompt injection, data leakage, access control, GDPR</li> <li>Familiarity with Keycloak, OpenID Connect, OAuth 2 or JWT</li> <li>Frontend basics (TypeScript, Angular) to build simple user interfaces for AI features</li> <li>Domain experience in publishing, rights &amp; royalties, or enterprise support and service management</li> <li>You don't need to tick every box. We value the ability to learn quickly and adapt over an exact match on the tech stack.</li> </ul> <p> </p> <p>What We Value</p> <ul> <li>Learning over knowing</li> <li>Evidence over hype</li> <li>Adaptability over rigidity</li> <li>Problem-solving over box-ticking</li> <li>Ownership over task execution</li> <li>Honest, direct collaboration over hierarchy provement, and an honest feedback culture </li> </ul><p><strong>Desired Candidate Profile</strong></p><ul> <li> Proven experience building and shipping LLM-based applications to real users not only experiments or tutorials</li> <li>Hands-on experience with LLM APIs (e.g. Anthropic Claude, OpenAI, Azure OpenAI) including tool use / function calling and structured outputs</li> <li>Practical RAG experience: embeddings, vector or hybrid search, chunking strategies, and judging retrieval quality</li> <li>Solid software engineering in Python and/or Java clean, tested, maintainable code; comfortable working in an existing Java backend</li> <li>API and integration skills: REST, JSON, authentication, and connecting services to existing business systems</li> <li>Relational database fluency strong SQL; Oracle experience preferred, PostgreSQL or MySQLaccepted</li> <li>A habit of evaluating AI output systematically test sets, metrics, regression checks rather than by impression</li> <li>Strong problem-solving skills and the ability to work independently and collaboratively</li> <li>Experience with Agile methodologies and fast-paced delivery cycles</li> <li>Professional-level English, written and verbal your primary working language with the Italian team</li> </ul> <p>Nice to Have</p> <ul> <li>Agent frameworks and protocols (Model Context Protocol, LangChain/LangGraph, LlamaIndex, Spring AI or similar)</li> <li>Experience with vector databases or search engines (pgvector, Oracle AI Vector Search, Elasticsearch/OpenSearch, Azure AI Search)</li> <li>LLM observability and evaluation tooling (e.g. Langfuse, LangSmith, promptfoo or your own)</li> <li>Java with Spring Boot or JAX-RS, JPA/Hibernate</li> <li>Containerisation and deployment (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitHub Actions or equivalent)</li> <li>Cloud experience, especially Azure (also AWS)</li> <li>Security for AI systems: prompt injection, data leakage, access control, GDPR</li> <li>Familiarity with Keycloak, OpenID Connect, OAuth 2 or JWT</li> <li>Frontend basics (TypeScript, Angular) to build simple user interfaces for AI features</li> <li>Domain experience in publishing, rights &amp; royalties, or enterprise support and service management</li> <li>You don't need to tick every box. We value the ability to learn quickly and adapt over an exact match on the tech stack.</li> </ul>

We’re looking for an experienced functional CRM solution architect to lead the functional design and delivery of enterprise CRM solutions for large, complex organizations.</p> <p>This is a hands-on, client-facing role for someone who understands how businesses sell, serve, and engage their customers, and who can turn that understanding into a clear, well-designed CRM solution. You’ll lead process discovery, shape the functional architecture, and make sure that what gets built actually works for the people who use it.</p> <p>You’ll work on enterprise-scale transformation programmes with multiple workstreams, demanding stakeholders, and real accountability for outcomes. We want someone who brings a point of view, not just someone who documents requirements. You should have challenged how a business works, designed a better way, and seen it through go-live and adoption.</p> <h4>What you'll do</h4> <ul> <li>Lead discovery workshops with business stakeholders to understand objectives, current-state processes, pain points, and customer engagement requirements.</li> <li>Map and redesign end-to-end customer processes such as lead-to-opportunity, quote-to-order, case management, service delivery, loyalty, and customer journeys.</li> <li>Define the functional CRM architecture across sales, service, marketing, and field operations capabilities.</li> <li>Support CRM platform selection and evaluation, including requirements definition, vendor assessment, and fit analysis.</li> <li>Run fit-gap analysis and recommend the right balance of out-of-the-box capability, configuration, and custom development.</li> <li>Translate business requirements into functional designs, user stories, and acceptance criteria that delivery teams can build from.</li> <li>Define the functional data model, customer 360 view, record ownership, roles and access, business rules, and process flows in partnership with technical architects.</li> <li>Act as design authority for functional decisions, managing scope, trade-offs, and change requests across workstreams.</li> <li>Define integration requirements from a business perspective, covering ERP, marketing automation, contact centre, customer portals, and data platforms.</li> <li>Define data migration requirements, mapping, and validation from a business perspective.</li> <li>Lead test strategy from a functional perspective, including scenario design, system integration testing support, and user acceptance testing.</li> <li>Shape training, change management, and adoption plans so that the solution is used as intended after go-live.</li> <li>Contribute to solutioning, estimation, and scoping of new phases and change requests.</li> <li>Identify opportunities to use AI and automation within CRM to improve productivity and customer outcomes.</li> <li>Advise clients on CRM best practice, operating model, and governance.</li> <li>Produce high-quality functional artefacts, including process maps, functional design documents, requirements traceability, and decision logs.</li> <li>Collaborate with technical architects, developers, data, and delivery leads throughout discovery, design, build, testing, and hypercare.</li> </ul> <h4>Requirements</h4> <ul> <li>10+ years in CRM or customer engagement, including 6+ years in functional lead or architect roles.</li> <li>A track record of leading the functional design of enterprise CRM implementations end to end on large-scale, multi-workstream programmes.</li> <li>Deep implementation experience on at least one leading CRM platform, such as Salesforce, Microsoft Dynamics 365, SAP Sales & Service Cloud, Oracle CX, or Pega, with exposure to more than one being a strong advantage.</li> <li>Experience in a consulting or systems integration environment, delivering for enterprise clients in a structured, client-facing delivery model.</li> <li>Strong knowledge of CRM domains, including sales, customer service, marketing, field service, and customer data management.</li> <li>Strong business process design skills, with experience in process mapping (for example, BPMN) and requirements management in Jira or Azure DevOps.</li> <li>A working understanding of CRM data models, integration concepts, and platform capabilities, enough to collaborate credibly with technical teams.</li> <li>Experience leading workshops, fit-gap sessions, and user acceptance testing with senior business stakeholders.</li> <li>Excellent communication and facilitation skills, with the ability to influence business and technical audiences alike.</li> <li>Comfort working independently in a contract capacity and getting productive quickly within established client teams.</li> </ul> <h4>Nice to have</h4> <ul> <li>CRM certifications, such as Salesforce Certified Consultant or Architect credentials, Microsoft Dynamics 365 functional certifications, or equivalents.</li> <li>Experience with CRM platform selection or multi-platform CRM landscapes.</li> <li>Experience with contact centre, CDP, or marketing automation solutions.</li> <li>Industry experience in financial services, government, telecoms, or other regulated sectors.</li> <li>GCC client experience and/or Arabic language skills.</li> </ul>

<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> <strong>About Us:</strong> </p> <p>KristiesLab is a dynamic and growing regional creative agency operating in Lebanon, Qatar, Saudi Arabia and the UAE. We are dedicated to pushing the boundaries of creativity and delivering innovative marketing solutions to our diverse client base. We are seeking a creative, technically skilled and detail-oriented Interior Architect to join our dynamic team.</p> <p> <strong>Role Overview:</strong> </p> <p>We are seeking a skilled Interior Architect who can transform ideas and strategic briefs into compelling spatial concepts, realistic visualizations and production-ready designs. You will contribute to a wide range of projects, including branded spaces, offices, retail environments, events and exhibitions, supporting each project from initial concept development through execution and installation.</p> <p> <strong>Key Responsibilities:</strong> </p> <ol> <li> <strong>Concept and Spatial Design:</strong> <ul> <li>Develop creative interior concepts and spatial design directions for branded spaces, offices, retail environments, events and exhibitions.</li> <li>Translate briefs into effective space plans, mood boards, material selections and detailed 3D visualizations.</li> <li>Create design solutions that respond to the project s objectives, budget, site conditions and production requirements.</li> <li>Adapt concepts based on client feedback while maintaining the integrity of the overall design direction.</li> </ul> </li> <li> <strong>3D Visualization:</strong> </li> </ol> <ol> <li>Produce high-quality, realistic renders that clearly communicate each proposed design.</li> <li>Apply materials, finishes, lighting and spatial details accurately within visualizations.</li> <li>Refine visual presentations to support internal reviews and client presentations.</li> <li>Stay current with visualization techniques, interior design trends and emerging AI-assisted tools.</li> <li> <strong>Technical Design and Production:</strong> </li> </ol> <ol> <li>Prepare accurate technical drawings, layouts and production-ready design packages.</li> <li>Review dimensions, materials, finishes and construction details with suppliers and production partners.</li> <li>Ensure designs are visually compelling, technically feasible and suitable for production.</li> <li>Revise drawings and technical files according to site conditions and execution requirements.</li> <li> <strong>Collaboration and Project Management:</strong> </li> </ol> <ol> <li>Collaborate closely with the creative, events and production teams throughout every project stage.</li> <li>Coordinate with suppliers and production partners to support accurate project execution.</li> <li>Follow projects from initial concept development through production, execution and installation.</li> <li>Manage multiple projects simultaneously while meeting tight deadlines.</li> </ol> <p> <strong>Qualifications:</strong> </p> <ul> <li>A degree in Interior Architecture, Interior Design, Architecture or a related field.</li> <li>Proven professional experience in interior and spatial design, preferably within an agency, events or production environment.</li> <li>A strong portfolio demonstrating conceptual thinking, space planning and high-quality 3D visualization.</li> <li>Advanced proficiency in SketchUp and Lumion.</li> <li>Strong working knowledge of AutoCAD.</li> <li>Proficiency in Blender, 3ds Max, Corona Renderer or V-Ray is considered an advantage.</li> <li>A solid understanding of materials, finishes, lighting, detailing and production methods.</li> <li>The ability to prepare accurate technical drawings and production-ready files.</li> <li>Familiarity with Adobe Photoshop and AI-assisted creative tools.</li> <li>Excellent attention to detail and the ability to work confidently under pressure.</li> <li>A proactive, collaborative and solutions-oriented mindset.</li> <li>Fluency in English; Arabic is considered an advantage.</li> </ul>

<p><b style="font-size: 11px;">Your Responsibilities</b></p> <p> </p> <ul> <li>Apply Site reliability principles to ensure availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning and act as a bridge between development and operations by applying a engineering mind-set to system administration.</li> </ul> <ul> <li>Ensure business continuity for our internal systems by proactively supporting end users and fulfilling their requests.</li> </ul> <ul> <li>Act as a lead for service reliability, scalability, and performance for a set of products as part of the information systems landscape.</li> </ul> <ul> <li>Review deployment and operational environments, i.e., execute initiatives to reduce failure, troubleshoot issues across the entire infrastructure stack, expand monitoring capabilities and manage technical operations.</li> </ul> <ul> <li>Embrace DevSecOps principles to advise and architect security solutions with product teams, ensuring all technologies and projects are robust and adhere to security standards.</li> </ul> <ul> <li>Drive corrective, adaptive and preventative maintenance of solutions automating environment management, service management, infrastructure management and cyber security aspects of the systems.</li> </ul> <ul> <li>Follow and apply Agile and DevOps practices and stay up to date with market standard Technologies.</li> </ul> <br> <p>We put our people first, with an attitude of care and a legitimate commitment to their success and wellbeing: </p> <p>Benefit from our competitive compensation and insurance package: </p> <ul> <li>Attractive salary in USD outside of Lebanon </li> </ul> <ul> <li>International medical, life and travel insurance </li> </ul> <ul> <li>Retirement plan </li> </ul> <ul> <li>Schooling allowance</li> </ul> <ul> <li>And much more </li> </ul> <p>Enjoy a hybrid work environment: </p> <ul> <li>Teleworking at home and abroad </li> </ul> <ul> <li>Dynamic and supportive work environment focused on employee wellness</li> </ul> <p>Grow with us and gain international exposure: </p> <ul> <li>Extensive learning opportunities </li> </ul> <ul> <li>Learn from a diverse team of experts around the world</li> </ul> <ul> <li>Possibility for international and internal mobility </li> </ul><p><strong>Desired Candidate Profile</strong></p><ul> <li>1-3 Years of hands-on experience on DevOps implementation and Systems Administration.</li> </ul> <ul> <li>Experience working with Linux operating systems and database administration.</li> </ul> <ul> <li>Hands on knowledge in systems monitoring and alerting such as Splunk, Logstash, Grafana, AppDynamics, etc.</li> </ul> <ul> <li>Hands on knowledge of build automation and continuous integration/delivery ecosystem: Git, Maven, Jenkins, Nexus, Docker, Kubernetes.</li> </ul> <ul> <li>Experience in deploying and troubleshooting highly available, secure and reliable services.</li> </ul> <ul> <li>Proficient in scripting: Bash, Groovy, Python</li> </ul> <ul> <li>Experience with infrastructure configuration and automations processes and tools: Terraform, Ansible is a plus</li> </ul> <ul> <li>Cloud computing experience is a plus: Amazon AWS, Azure Cloud</li> </ul>

You will work as part of a small, senior delivery team, building and optimizing the data pipelines and analytics infrastructure that power a client's advanced analytics program, with a focus on procurement and cost-optimization use cases.</p> <h4>What you'll do</h4> <ul> <li>Design and build scalable data pipelines and ETL/ELT workflows on Snowflake, integrating with DataIQ and Sigma</li> <li>Develop and optimize Python-based data engineering workflows within the client's environment</li> <li>Translate procurement and cost-optimization analytics requirements into robust, production-grade data solutions</li> <li>Structure and model data to support advanced analytics and decision-intelligence use cases</li> <li>Embed data quality, governance, and lineage standards across all pipeline stages</li> <li>Engage directly with client stakeholders to clarify requirements and present technical approaches</li> <li>Own day-to-day delivery of the data workstream, including planning and quality of deliverables</li> <li>Collaborate with a small, senior project team — including a data architect and a junior data resource</li> </ul> <h4>Requirements</h4> <ul> <li>8–10 years of data engineering experience, ideally including time at a Big 4 firm or strategy/technology consulting firm</li> <li>Strong hands-on experience with Snowflake; familiarity with DataIQ and Sigma Computing is a strong plus</li> <li>Proficient in Python and SQL for data engineering and pipeline development</li> <li>Experience with procurement, sourcing, or cost-optimization analytics use cases</li> <li>Solid understanding of data modeling, ETL/ELT design, and data quality practices</li> <li>Comfortable working directly within a client's technical environment under data sovereignty constraints</li> <li>Able to interface with client stakeholders and communicate clearly with non-technical audiences</li> <li>Willing and able to work on-site in Riyadh on a full-time or hybrid basis (2–3 days per week)</li> </ul> <h4>You're our match if you have</h4> <ul> <li>A track record of delivering data engineering workstreams on client-facing consulting engagements</li> <li>Strong command of Snowflake-based architectures and modern analytics stacks</li> <li>Comfort operating in fast-paced, deadline-driven project environments</li> <li>The ability to own your workstream with minimal oversight while coordinating with a small delivery team</li> <li>Professional experience in Saudi Arabia or the wider GCC</li> <li>Availability to start within the next month and commit to a 4–6 month contract</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>DataIQ or Sigma Computing specifically</li> <li>Procurement or sourcing analytics and cost-optimization use cases</li> <li>A Big 4 firm, global systems integrator, or strategy consulting firm</li> <li>Arabic data sets</li> <li>Working under data residency/sovereignty constraints in client environments</li> </ul>

<p>Administer and improve AWS infrastructure across multiple accounts: EC2, RDS, S3, VPC/Transit Gateway, Route 53, Elastic Beanstalk, IAM/IAM Identity Center, CloudFormation, Systems Manager, CloudWatch, and CloudTrail. Plan and execute migrations between accounts, regions, and platforms with minimal customer disruption. Administer SQL Server on both RDS and EC2: backup/restore, upgrades, permissions, performance troubleshooting, and migration work. Manage Windows Server and IIS hosting, including SSL/TLS certificate lifecycle, bindings, and renewals. Write and maintain PowerShell and AWS CLI automation for recurring operational work. Build and maintain automated deployment processes for internal and customer-facing releases. Maintain and extend CloudFormation templates for repeatable, consistent resource provisioning. Investigate and resolve infrastructure incidents end to end and produce clear internal documentation and runbooks afterward. Monitor and report on cloud spend; identify and implement savings opportunities. Support security findings for remediation, access reviews, and evidence gathering for SOC 2. Interface directly with hosted customers during project deployments, networking and connectivity questions, and pre-sales technical discussions about our hosted platform. Provide escalation support to internal teams for infrastructure-related issues.</p><p><strong>Desired Candidate Profile</strong></p><p>2 3+ years of hands-on, direct AWS experience in a production environment day-to-day console and CLI work, not adjacent exposure through a managed provider. Working knowledge across core AWS services: EC2, VPC and networking, RDS, S3, IAM, CloudWatch, and at least one infrastructure-as-code or deployment tool. Solid Windows Server administration experience, including IIS. SQL Server administration experience: backups, restores, logins and permissions, and basic performance troubleshooting. Practical PowerShell scripting ability you can automate a repetitive task without turning it into a framework. Comfort with certificate management, DNS, and general network troubleshooting. Clear written communication. You'll document what you build and explain it to both engineers and non-technical stakeholders. Ability to work directly with customers professionally and calmly, including during incidents. Nice to Have Experience with AWS Control Tower, Landing Zone Accelerator, or multi-account organizational structures. Security Hub, GuardDuty, Inspector, or similar security tooling experience. Octopus Deploy, or comparable release automation (Azure DevOps, TeamCity, Jenkins). AWS cost management experience (Cost Explorer, budgets, Savings Plans/RIs). Exposure to SOC 2 or similar compliance programs. AWS certification (Solutions Architect Associate, SysOps Administrator, or equivalent). SaaS or MSP background where infrastructure directly serves external customers.</p>

<p><b style="font-size: 11px;">About the job:</b></p> <p>Your Mission</p> <p>You will be responsible for managing, optimizing and developing the IT infrastructure of VSN and Woody Technologies, both internally and in the technology environments used to deliver services to our customers.</p> <ul> <li>We are looking for a technically strong, independent problem-solver who can combine a strategic view of infrastructure with direct involvement in day-to-day operations.</li> <li>This is not a purely managerial role. We need a hands-on IT Manager with solid technical experience who can troubleshoot issues directly, implement improvements and lead technology transformation projects.</li> <li>You will report to Technology Management and work closely with the Development, Product, Operations and Customer Support teams of both companies.</li> </ul> <p><b><br></b></p><p><b>Key Responsibilities</b></p> <p>1. IT Infrastructure and Systems Management</p> <ul> <li>Manage and maintain the IT infrastructure of VSN and Woody Technologies, including servers, networks, storage, virtualization and corporate systems.</li> <li>Ensure the availability, performance and security of technology systems.</li> <li>Administer Windows Server and Linux environments.</li> <li>Manage virtualization platforms and storage systems.</li> <li>Oversee backup, disaster recovery and business continuity policies.</li> <li>Manage IT asset inventories, software licenses and technology assets.</li> <li>Identify opportunities to consolidate and optimize infrastructure across both companies.</li> </ul> <p>2. Cloud Infrastructure &amp; AWS</p> <ul> <li>Administer and optimize cloud environments, primarily on Amazon Web Services (AWS).</li> <li>Manage services such as EC2, S3, RDS, VPC, IAM, CloudWatch and other AWS infrastructure components.</li> <li>Oversee the security, availability and scalability of cloud platforms.</li> <li>Work with Development and Product teams to deploy and maintain SaaS solutions.</li> <li>Participate in migrations from on-premises infrastructure to cloud and hybrid architectures.</li> <li>Implement monitoring, alerting and automation mechanisms.</li> <li>Monitor and optimize cloud infrastructure costs using FinOps best practices.</li> </ul> <p>3. Cybersecurity and Compliance</p> <ul> <li>Define and implement IT security policies for both companies.</li> <li>Manage firewalls, VPNs, remote access systems and endpoint protection tools.</li> <li>Administer identity and access systems, including Microsoft 365, Active Directory and MFA.</li> <li>Identify vulnerabilities and coordinate the necessary remediation actions.</li> <li>Ensure appropriate management of access, permissions and credentials.</li> <li>Support compliance with applicable data protection and security regulations, including GDPR where relevant.</li> <li>Define and maintain security incident response procedures.</li> </ul> <p>4. IT Support and Internal Operations</p> <ul> <li>Ensure the reliable operation of tools and systems used by employees of both companies.</li> <li>Handle second- and third-level technical incidents.</li> <li>Oversee IT onboarding and offboarding processes for employees.</li> <li>Administer Microsoft 365 and other corporate tools.</li> <li>Coordinate external IT service, telecommunications and hardware providers.</li> <li>Document procedures, configurations and internal policies.</li> <li>Continuously improve support processes through automation and artificial intelligence tools.</li> </ul> <p>5. Automation, DevOps and Continuous Improvement</p> <ul> <li>Drive automation of repetitive tasks and systems administration processes.</li> <li>Collaborate with Development teams to improve application deployment and maintenance processes.</li> <li>Participate in implementing CI/CD tools, containers and monitoring systems.</li> <li>Promote Infrastructure as Code where appropriate.</li> <li>Evaluate new technologies that can improve operational efficiency.</li> <li>Identify opportunities to apply AI to IT operations, monitoring and incident resolution.</li> </ul> <p>6. Budget and Vendor Management</p> <ul> <li>Contribute to the preparation and monitoring of the IT budget.</li> <li>Control infrastructure, cloud service, licensing and vendor costs.</li> <li>Negotiate with technology vendors and manage their contracts.</li> <li>Identify cost savings without compromising service quality or availability.</li> <li>Define key performance indicators (KPIs) for availability, incidents, security and costs.</li> </ul><ul> <li>Degree in Computer Engineering, Telecommunications, Information Systems or equivalent professional experience.</li> <li>At least 5 years of experience in systems administration and IT infrastructure, including coordination or management responsibilities.</li> <li>Strong experience administering Windows and Linux servers.</li> <li>Hands-on experience with AWS infrastructure.</li> <li>Advanced knowledge of networking, TCP/IP, DNS, VPNs, firewalls and perimeter security.</li> <li>Experience with virtualization, storage and backup systems.</li> <li>Knowledge of Microsoft 365, Active Directory and identity management.</li> <li>Experience in cybersecurity and infrastructure protection best practices.</li> <li>Ability to independently diagnose and resolve complex incidents.</li> <li>Professional English proficiency (minimum B2) for working in an international environment.</li> <li>Strong organizational, prioritization and multitasking skills.</li> </ul> <p>Highly Valued Qualifications</p> <ul> <li>AWS certifications (Solutions Architect, SysOps Administrator or similar).</li> <li>Experience with SaaS environments and hybrid cloud architectures.</li> <li>Knowledge of Docker, Kubernetes and automation tools.</li> <li>Experience with Terraform, Ansible or similar technologies.</li> <li>Scripting skills (PowerShell, Bash or Python).</li> <li>Experience with monitoring tools such as Zabbix, Grafana, Prometheus or CloudWatch.</li> <li>Familiarity with DevOps processes and CI/CD pipelines.</li> <li>Experience with ITIL, ISO 27001 or equivalent standards.</li> <li>Previous experience in B2B software companies.</li> <li>Knowledge of audiovisual and broadcast infrastructure, media workflows or large-scale video storage systems.</li> <li>Experience in multinational or multi-site organizations.</li> <li>The Person We're Looking For beyond technical skills, we want someone practical, proactive and results-oriented.</li> </ul> <p><br></p><ul> </ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Degree in Computer Engineering, Telecommunications, Information Systems or equivalent professional experience.</li><li>At least 5 years of experience in systems administration and IT infrastructure, including coordination or management responsibilities.</li><li>Strong experience administering Windows and Linux servers.</li><li>Hands-on experience with AWS infrastructure.</li><li>Advanced knowledge of networking, TCP/IP, DNS, VPNs, firewalls and perimeter security.</li><li>Experience with virtualization, storage and backup systems.</li><li>Knowledge of Microsoft 365, Active Directory and identity management.</li><li>Experience in cybersecurity and infrastructure protection best practices.</li><li>Ability to independently diagnose and resolve complex incidents.</li><li>Professional English proficiency (minimum B2) for working in an international environment.</li><li>Strong organizational, prioritization and multitasking skills.</li></ul> <p>Highly Valued Qualifications</p><ul><li>AWS certifications (Solutions Architect, SysOps Administrator or similar).</li><li>Experience with SaaS environments and hybrid cloud architectures.</li><li>Knowledge of Docker, Kubernetes and automation tools.</li><li>Experience with Terraform, Ansible or similar technologies.</li><li>Scripting skills (PowerShell, Bash or Python).</li><li>Experience with monitoring tools such as Zabbix, Grafana, Prometheus or CloudWatch.</li><li>Familiarity with DevOps processes and CI/CD pipelines.</li><li>Experience with ITIL, ISO 27001 or equivalent standards.</li><li>Previous experience in B2B software companies.</li><li>Knowledge of audiovisual and broadcast infrastructure, media workflows or large-scale video storage systems.</li><li>Experience in multinational or multi-site organizations.</li></ul> <p>We are looking for someone who:</p><ul><li>Is hands-on and comfortable configuring servers, resolving incidents and implementing solutions directly.</li><li>Takes initiative rather than waiting for issues to become urgent.</li><li>Works independently, takes ownership and makes decisions.</li><li>Can simplify complex infrastructure and processes.</li><li>Focuses on automation, efficiency and cost reduction.</li><li>Communicates effectively with technical and non-technical teams.</li><li>Is curious about new technologies, especially cloud and AI.</li><li>Understands that technology must serve the business and its customers.</li></ul>

<p>About the Role <br> <br>We are looking for a Senior SQL Server DBA to own the reliability, performance, security and availability of our Microsoft SQL Server estate. You will be the technical authority on our database platform, working closely with application developers, DevOps, security and data teams. You will design resilient architectures, resolve complex performance issues, and raise the bar on how we operate databases in production. <br> <br>Key Responsibilities <br> <br>Platform ownership and architecture <br> <br>Design, deploy and maintain SQL Server instances (virtualized and cloud only) across production and non-production environments. <br>Architect and manage high availability and disaster recovery solutions: Always On Availability Groups, Failover Cluster Instances, log shipping and replication. <br>Define standards for database design, naming, indexing, partitioning and capacity planning. <br> <br>Performance and reliability <br> <br>Proactively monitor and tune performance: execution plans, indexing strategy, statistics, wait stats, blocking and deadlocks, Query Store. <br>Lead root cause analysis for production incidents and produce clear post-incident reports. <br>Perform capacity planning and forecast storage, memory and compute needs. <br> <br>Backup, recovery and continuity <br> <br>Own backup and restore strategy, including regular restore testing and documented RPO/RTO targets. <br>Run and improve DR drills. <br> <br>Security and compliance <br> <br>Implement and audit access controls, encryption (TDE, Always Encrypted, TLS), auditing and least-privilege principles. <br>Support compliance requirements such as ISO 27001, SOC 2, GDPR and PCI-DSS, as applicable. <br>Manage patching, cumulative updates and version upgrades with minimal downtime. <br> <br>Automation and DevOps <br> <br>Automate routine tasks using PowerShell, T-SQL and tools such as dbatools. <br>Support CI/CD for database changes (schema versioning, migration tools, code review for SQL). <br>Contribute to infrastructure-as-code and monitoring/alerting standards. <br> <br>Collaboration and leadership <br> <br>Review database changes from developers and advise on schema design and query optimization. <br>Mentor junior DBAs and engineers; document runbooks and best practices. <br>Participate in an on-call rotation for critical production systems. <br>Support migrations to cloud platforms (Azure SQL Managed Instance, Azure SQL Database, SQL Server on AWS/Azure VMs) where relevant. <br>Good knowledge of SLQ Server replication features is necessary</p><p><strong>Desired Candidate Profile</strong></p><p>Required Qualifications <br> <br>7+ years of hands-on experience administering SQL Server in production, including at least 2 years in a senior or lead capacity. <br>Deep expertise in T-SQL, query tuning, indexing and execution plan analysis. <br>Proven experience with Always On Availability Groups, clustering, backup/restore and DR planning. <br>Strong knowledge of SQL Server internals: storage engine, memory management, locking and latching, tempdb. <br>Experience with SQL Server 2016 or later, ideally 2019/2022. <br>Strong PowerShell scripting skills. <br>Experience with monitoring tools (e.g. SolarWinds DPA, Redgate SQL Monitor, Idera, Prometheus/Grafana, or equivalent). <br>Solid understanding of database security and compliance practices. <br>Excellent communication skills in English; ability to explain technical risk to non-technical stakeholders. <br> <br>Preferred Qualifications <br> <br>Microsoft certifications such as Azure Database Administrator Associate (DP-300) or equivalent. <br>Experience with Azure SQL, AWS RDS for SQL Server, or hybrid architectures. <br>Experience with SSIS, SSRS or SSAS administration. <br>Familiarity with other platforms (PostgreSQL, Oracle, MySQL) and with NoSQL concepts. <br>Experience with Git, Azure DevOps or similar CI/CD tooling, and infrastructure as code (Terraform, Bicep, Ansible). <br>Experience with large-scale or high-transaction systems (multi-terabyte databases, 24/7 operations).</p>