Dubai Sectors

We are partnered with a well-funded e-commerce startup in Riyadh, backed by a major retail group, to hire their first permanent CTO. The business is live and growing, but the technology ambition is far bigger than where it sits today. This is a build role and a management role.The incoming CTO will take ownership of the company's entire technology direction, architecting and building a fully integrated, proprietary platform spanning ecommerce, warehousing, order management, logistics, POS, marketplace operations, and data infrastructure. The goal is a scalable, internally owned ecosystem that gives the business a genuine edge across the GCC.About the role:Own and execute the long-term technology roadmapArchitect modular, API-first systems built for scale across omnichannel retail and ecommerce operationsBuild proprietary systems including WMS, OMS, ERP, POS, shipping infrastructure, and marketplace middlewareOversee architecture and all third-party integrationsBuild and lead high-performing engineering and product teamsManage internal developers alongside external agencies and system integratorsDrive execution at pace while maintaining stability and quality About you:10+ years in software engineering and technology leadershipStrong track record building proprietary systems across retail, ecommerce, logistics, or warehousingDeep knowledge of WMS, OMS, ERP, POS, and inventory architectureProven ability to build from scratch, not just configure SaaS toolsExperienced leading engineering teams in high-growth environmentsBuilder mentality with sharp operational instincts and a bias for executionBased in or willing to relocate to Riyadh

We have partnered with a large, diversified conglomerate to hire an AI/ML Manager. This is a hands-on technical leadership role at the heart of the Group's AI delivery programme. The business is building and deploying real AI systems across multiple functions, and this person will own the engineering of those systems from design through to production. If you want to work on AI that actually ships and actually matters, this is the role.This role suits someone with deep applied AI experience who is ready to lead delivery across a cross-functional engineering team without losing their technical edge.About the role:Design, build and deploy production-grade AI and ML systems including LLM-based applications, RAG pipelines and GenAI workflows across the GroupTranslate business use cases into scalable, well-architected technical solutions that solve real problems rather than demonstrate capabilityDevelop APIs, integrations and orchestration workflows that connect AI systems into broader platform and product architectureLead delivery across small engineering pods, maintaining quality, pace and clear accountability throughoutEnsure all systems meet production readiness standards including performance, scalability, monitoring and fault toleranceStay current with the rapidly evolving AI landscape and bring emerging techniques and tooling into the team where they add genuine value About you:Strong Python skills and deep applied AI/ML experience, with a track record of building and deploying models into production environmentsHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorProficiency with orchestration frameworks such as LangChain, LlamaIndex or equivalentSolid understanding of system design, APIs and how AI components integrate into broader engineering architecturesComfortable leading engineering teams and managing delivery across multiple workstreams simultaneously

We have partnered with a large, diversified conglomerate to hire an AI Manager with a Data Engineering focus. This is a hands-on technical leadership role sitting at the intersection of data infrastructure and AI delivery.The business is moving fast on its AI agenda and needs someone who understands that the quality of what gets deployed is only ever as good as the data that powers it. You will own the data engineering workstream within a cross-functional AI team, building the pipelines, platforms and architecture that make production AI systems possible.This role suits a technically strong engineer who has grown into delivery leadership and wants to operate at the centre of a genuinely ambitious AI programme.About the role:Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the GroupTranslate business use cases into clean, well-architected technical solutions across both batch and streaming data environmentsOwn data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scaleDevelop APIs, workflows and integrations that connect data infrastructure to AI and ML systemsLead delivery across small engineering pods, maintaining pace, quality and clear accountabilityEnsure all solutions meet production readiness standards including monitoring, observability and fault tolerance About you:Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environmentsProficiency with cloud data platforms such as Snowflake, BigQuery or RedshiftExperience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalentStrong SQL and Python skills, with an understanding of software engineering principles applied to dataExperience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layersComfortable leading engineering teams and managing delivery across multiple workstreams

We have partnered with a large, diversified conglomerate to hire a Head of AI Engineering. This is a Group-level role with a mandate that matters. AI is moving from strategy into execution across the business, and this person will own that transition end to end. From identifying the right use cases to deploying production-grade systems at enterprise scale, the remit is broad, the visibility is high and the opportunity to leave a lasting mark on a complex organisation is real.This role suits a leader who is equally at home in a technical design review and a boardroom conversation. You will bring strong engineering depth, sharp commercial judgement and the ability to build and inspire a cross-functional team that delivers.About the role:Lead the identification, design and deployment of AI use cases across business functions, owning the full journey from concept to productionDefine and own the architecture across AI/ML, GenAI and automation systems at enterprise scaleBuild, lead and scale a cross-functional AI engineering team, setting the standard for how the function operates and deliversEstablish MLOps frameworks, deployment standards and governance practices that ensure AI systems are reliable, secure and maintainablePartner with product and business stakeholders across the Group to drive adoption, measure ROI and ensure AI initiatives deliver tangible commercial valueAct as the senior technical voice on AI across the organisation, influencing decisions at Group leadership level About you:10 to 15 years or more of experience in engineering, AI or large-scale technology delivery, with a clear track record of deploying AI and ML systems into production at enterprise scaleStrong hands-on understanding of LLMs, orchestration frameworks, MLOps and modern AI architecture patternsSolid experience across cloud platforms including AWS, Azure or GCP, alongside APIs and data pipeline designProven ability to lead technical teams and engage senior stakeholders with equal confidence and credibilityCommercially minded, with the ability to connect technical decisions to business outcomes and articulate value clearlyIndustry background is open, but experience within complex, multi-business-unit organisations is a strong advantageBased in the UAE or willing to relocate

We have partnered with a growth-stage enterprise SaaS business to hire an AI Product Manager. This company is not bolting AI onto an existing product and hoping for the best. They are rebuilding how their platform thinks, automates and serves users, and they need a PM who can lead that from the front. With serious engineering talent already in place and a leadership team that understands what AI can actually do, the conditions here are genuinely rare.This role suits someone who sits comfortably between the technical and the commercial. You understand how AI systems work well enough to have credible conversations with engineers, and you understand users well enough to know which problems are actually worth solving.About the role:Own the AI product roadmap, defining and prioritising features that embed AI meaningfully into the core platform experienceWork closely with engineering, data science and design to take AI capabilities from concept through to shipped, production-grade featuresConduct deep user and market research to identify where AI can reduce friction, automate workflows and create measurable value for enterprise customersDefine success metrics for AI features, building evaluation frameworks that go beyond vanity metrics to measure real user and business impactTranslate complex AI capabilities into clear product narratives that resonate with customers, sales and executive stakeholdersStay ahead of the rapidly evolving AI landscape, identifying emerging techniques and tools that could strengthen the productPartner with GTM and customer success teams to ensure AI features land well and drive adoption across the customer base About you:3 to 5 years of product management experience, with at least some of that spent shipping AI or ML powered features in a production environmentStrong enough technical understanding of AI and ML concepts to work as a genuine peer to engineering and data science teamsProven track record of owning and delivering features that created measurable value for enterprise customersComfortable operating in a fast-moving, growth-stage environment where priorities evolve and ambiguity is part of the jobSharp analytical mindset with experience using data to inform prioritisation, evaluate feature performance and drive decisionsExcellent communicator with the ability to align technical teams, commercial stakeholders and senior leadership around a shared visionFamiliarity with LLMs, agentic systems or workflow automation is a strong advantageBased in the US or authorised to work in the United States

We have partnered with an established fintech business to hire a BI Engineer. This is a business that runs on data. Decisions across product, commercial and operations are driven by insight, and the BI function sits right at the centre of that. With a mature data environment and a leadership team that genuinely values what good BI looks like, this is a strong platform for someone who wants to do their best work.About the role:Design, build and maintain scalable data models and BI solutions that serve commercial, product and operational teams across the businessOwn the development and continuous improvement of dashboards and reporting tools, ensuring they are accurate, performant and genuinely usefulWork closely with stakeholders to understand reporting requirements and translate them into clean, well-structured analytical solutionsBuild and maintain data pipelines that feed BI layers, working alongside data engineering to ensure reliability and consistencyDefine and enforce semantic layer standards, metrics definitions and data documentation that create a single source of truthIdentify opportunities to improve data accessibility, reduce manual reporting and drive self-serve analytics across the organisation About you:4 to 6 years of experience in BI engineering or a closely related analytics engineering roleStrong proficiency in SQL and experience working with modern data platforms such as Snowflake, BigQuery or RedshiftHands-on experience with BI tools such as Looker, Power BI or Tableau, including building production-grade dashboards and reportsSolid understanding of data modelling principles including dimensional modelling and experience with dbt or equivalent transformation toolingComfortable working directly with business stakeholders to gather requirements and deliver solutions that drive decisionsFintech, banking or financial services experience is advantageous

We have partnered with a leading omnichannel retailer in the UAE to appoint a Head of Data. This business operates across physical and digital channels, generating rich data across customer behaviour, inventory, supply chain and commercial performance. The opportunity is to bring that data together, make it trustworthy and turn it into something the business uses to compete.This role suits a seasoned data leader who can set strategy, shape technical direction and build a function that delivers real commercial value across a complex retail organisation.About the role:Define and lead the data strategy, aligning capability with commercial priorities across physical and digital channelsBuild and scale a data function spanning engineering, analytics, data science and governanceOwn the architecture and evolution of the data platform, ensuring it supports advanced analytics and AI use cases at scaleDrive the development of a unified customer view connecting online and offline behaviour across the full retail journeyEstablish data governance frameworks and quality standards that make data trustworthy across the organisationPartner with commercial, marketing, supply chain and technology leadership to embed data-driven decision making at every level About you:12 or more years of experience in data leadership, with a track record of building and scaling data functions within complex organisationsDeep understanding of the retail data landscape including customer analytics, merchandising, supply chain and omnichannel measurementStrong technical grounding across cloud data platforms, data modelling and analytics infrastructure, with experience in tools such as Snowflake, Databricks or dbtProven ability to lead high-performing teams across engineering, analytics and data science disciplinesCommercially minded, with the ability to connect data initiatives directly to revenue, margin and customer outcomesCredible at C-Suite level with strong stakeholder management skills

We have partnered with a high-growth SaaS business that is scaling its engineering function and needs a senior leader to help define what it becomes. The product is live, the customer base is expanding and the business is at an inflection point where engineering leadership will directly shape the trajectory of the next few years. This is not a role for someone who wants to manage from a distance. You will be close to the architecture, close to the product and close to the people building it. This role suits a technically credible leader who has grown into senior management without losing their instinct for what good engineering looks like. You will set the direction, own the culture and build a function that ships great product at scale, consistently. About the role:Own the engineering function end to end, setting the technical direction, delivery standards and team culture as the business scalesLead and develop a cross-functional engineering organisation responsible for building and evolving the core customer-facing platformPartner with the CEO, Product and broader leadership team to align engineering capacity and capability with commercial prioritiesDefine and embed engineering best practices across architecture, code quality, testing, security and operational reliabilityDrive hiring strategy and build out the engineering team, attracting and retaining strong talent as the company growsOwn key architectural and platform decisions, balancing long-term scalability with the pace demands of a growth-stage businessCreate an environment where engineers do their best work, with clear progression, strong feedback culture and genuine investment in developmentAbout you:Proven track record as a Head of Engineering, VP Engineering or senior Engineering Manager ready to step up, within a product-led SaaS environmentTechnically credible with a strong engineering background and the ability to contribute meaningfully to architectural and platform decisionsExperienced leading and scaling engineering teams through periods of significant growthSkilled at operating across both the strategic and the operational, comfortable in a board-level conversation and a technical design review in the same dayStrong track record of partnering with Product to ship high-quality, customer-facing features at paceClear, direct communicator who can align engineering, product and business stakeholders around a shared direction

We have partnered with a globally recognised technology organisation operating at the forefront of AI innovation to hire an AI Lead for their Centre of Excellence in the UAE. This is a senior hire that will help define the technical direction of the COE and play a leading role across a diverse portfolio of high-impact AI projects. For the right person, this is a chance to build something lasting inside an organisation with the resources, ambition and talent to do it properly.This role suits a technically deep, people-oriented leader who is as comfortable setting architectural direction as they are developing the engineers around them. You will have a direct hand in shaping how the COE operates, the standards it works to and the calibre of work it produces.About the role:Lead the technical delivery of AI initiatives across the COE's project portfolio, taking ownership of architecture, quality and outcomesDefine and embed AI engineering standards, frameworks and best practices across the Centre of ExcellenceMentor and develop a team of AI engineers, creating an environment where people grow quickly and perform at a high levelAct as the senior technical voice on AI across cross-functional project teams, partnering with engineering, data and product stakeholdersDrive the evaluation and adoption of emerging AI techniques, tools and research relevant to the organisation's areas of focusContribute to the strategic development of the COE, including capability planning, tooling decisions and technical roadmapRepresent the AI function in senior stakeholder conversations, translating complex technical concepts into clear business language About you:8 or more years of experience in AI engineering or applied machine learning, with a clear progression into technical leadershipStrong hands-on capability across the AI stack, including model development, deployment and production.Proven experience leading and mentoring engineering teams, with a track record of raising the technical bar around youDeep proficiency in Python and modern AI frameworks including TensorFlow, PyTorch or Hugging FaceBroad exposure across applied AI domains such as NLP, computer vision or generative AI, with production experience in at least oneExperience designing and implementing AI systems at scale within complex, multi-workstream environmentsExcellent communication and stakeholder management skills, with the ability to operate credibly at a senior levelPrior experience building or contributing to a Centre of Excellence or similar innovation function is a strong advantageUAE National status is required for this position

We have partnered with a globally recognised technology organisation in the UAE to appoint a DevOps Engineer. This is an opportunity to join a business that operates at a serious level of technical complexity, working alongside engineers and leaders who are genuinely invested in the growth of the people around them. If you are a UAE National with a solid DevOps foundation and ambitions to take your career to the next level, this is an environment built for exactly that.You will be embedded within a high-performing engineering function, contributing to real-world delivery across a varied portfolio of projects while developing your skills in a team that values craft, rigour and continuous improvement.About the role:Design, build and maintain CI/CD pipelines that support fast, reliable and repeatable software delivery across multiple projectsManage and evolve cloud infrastructure, ensuring environments are scalable, stable and cost-efficientSupport the containerisation and orchestration of applications using tools such as Docker and KubernetesImplement monitoring, alerting and observability frameworks to maintain platform health and enable rapid incident responseCollaborate closely with software engineering teams to embed DevOps practices and a culture of shared ownership across the delivery lifecycleContribute to infrastructure-as-code initiatives using tools such as Terraform or AnsibleLearn from senior engineers and technical leaders across a diverse and challenging project portfolio About you:3 to 5 years of experience in DevOps, infrastructure or platform engineering rolesHands-on experience with CI/CD tooling such as GitHub Actions, GitLab CI, Jenkins or equivalentWorking knowledge of cloud platforms including AWS, Azure or GCPExperience with containerisation and Kubernetes in a production or near-production environmentFamiliarity with infrastructure-as-code practices and toolingA genuine appetite to learn, grow and be challenged in a high-calibre technical environmentStrong communication skills and a collaborative working styleUAE Nationals only are required for this position

We have partnered with a globally recognised technology organisation operating at the forefront of AI innovation to appoint an AI Engineer for their newly established Centre of Excellence in the UAE. This is a rare opportunity for a UAE National to join a world-class team at the ground floor of something significant. The COE is already engaged across a diverse portfolio of high-impact projects, and this person will be an active contributor from day one.What makes this role genuinely compelling is the environment. You will be surrounded by exceptional engineers and technical leaders who are invested in developing the people around them. If you are early in your AI career and want to accelerate fast, there are few better places to do it.About the role:Contribute to the design, development and deployment of AI solutions across a varied portfolio of live projects within the Centre of ExcellenceWork alongside senior engineers and technical leads, gaining exposure to complex, real-world AI challenges across multiple domainsSupport the build-out of the COE's AI capability, including tooling, frameworks and best practicesCollaborate cross-functionally with data, engineering and product teams to integrate AI into broader solution architecturesStay current with developments in AI research and emerging techniques, bringing new thinking into the teamGrow your technical capability rapidly in an environment that actively invests in the development of its people About you:2 to 3 years of hands-on experience in AI engineering or a closely related disciplineSolid understanding of machine learning fundamentals and practical experience building and deploying modelsProficiency in Python and familiarity with frameworks such as TensorFlow, PyTorch or Hugging FaceExposure to NLP, computer vision or other applied AI domains is advantageousComfortable working across multiple projects simultaneously in a fast-moving, collaborative environmentStrong communication skills and a genuine appetite to learn from those around youUAE National status is required for this position

We have partnered with a Series B SaaS workflow automation platform that is changing how businesses operate at scale. Having proven the product and grown a loyal customer base, they are now entering the most exciting phase of their journey. The hard work of finding product-market fit is done. What comes next is where great product managers thrive, taking something that works and making it exceptional.This role is for a PM who loves the craft. You will have real autonomy over a meaningful portion of the product, working closely with engineering and design in a team small enough to move fast and senior enough to care about doing it right. If you want to own features end to end, be heard in every room and see your decisions ship to thousands of business users, this is the opportunity.About the role:Own the discovery, definition and delivery of new features across the workflow automation platform, from initial brief through to production releaseWork directly with customers to understand pain points, validate ideas and ensure the product continues to solve real problems at scalePartner with engineering and design to ship high-quality features quickly, maintaining a high bar for user experience and technical executionDefine and track product metrics that matter, using data to inform decisions and demonstrate impactContribute to roadmap planning and prioritisation, balancing short-term delivery with long-term product visionWork cross-functionally with sales, customer success and leadership to ensure new features land well and drive commercial outcomes About you:3 to 5 years of product management experience, ideally within a B2B SaaS environmentProven track record of owning and shipping features that have made a measurable difference to users and the businessComfortable working in a fast-moving, growth-stage environment where priorities shift and ambiguity is part of the jobStrong discovery and research skills, with the ability to turn customer insight into clear, actionable product decisionsData-literate, with experience defining success metrics and using analytics to guide prioritisationExcellent communicator with the ability to align stakeholders across engineering, commercial and leadership teamsExperience with workflow automation, operational tooling or process management software is a plus

We are partnered with a well-funded e-commerce startup in Riyadh, backed by a major retail group, to hire their first permanent CTO. The business is live and growing, but the technology ambition is far bigger than where it sits today. This is a build role and a management role.The incoming CTO will take ownership of the company's entire technology direction, architecting and building a fully integrated, proprietary platform spanning ecommerce, warehousing, order management, logistics, POS, marketplace operations, and data infrastructure. The goal is a scalable, internally owned ecosystem that gives the business a genuine edge across the GCC.About the role:Own and execute the long-term technology roadmapArchitect modular, API-first systems built for scale across omnichannel retail and ecommerce operationsBuild proprietary systems including WMS, OMS, ERP, POS, shipping infrastructure, and marketplace middlewareOversee architecture and all third-party integrationsBuild and lead high-performing engineering and product teamsManage internal developers alongside external agencies and system integratorsDrive execution at pace while maintaining stability and quality About you:10+ years in software engineering and technology leadershipStrong track record building proprietary systems across retail, ecommerce, logistics, or warehousingDeep knowledge of WMS, OMS, ERP, POS, and inventory architectureProven ability to build from scratch, not just configure SaaS toolsExperienced leading engineering teams in high-growth environmentsBuilder mentality with sharp operational instincts and a bias for executionBased in or willing to relocate to Riyadh

We have partnered with a large, diversified conglomerate to hire an AI/ML Manager. This is a hands-on technical leadership role at the heart of the Group's AI delivery programme. The business is building and deploying real AI systems across multiple functions, and this person will own the engineering of those systems from design through to production. If you want to work on AI that actually ships and actually matters, this is the role.This role suits someone with deep applied AI experience who is ready to lead delivery across a cross-functional engineering team without losing their technical edge.About the role:Design, build and deploy production-grade AI and ML systems including LLM-based applications, RAG pipelines and GenAI workflows across the GroupTranslate business use cases into scalable, well-architected technical solutions that solve real problems rather than demonstrate capabilityDevelop APIs, integrations and orchestration workflows that connect AI systems into broader platform and product architectureLead delivery across small engineering pods, maintaining quality, pace and clear accountability throughoutEnsure all systems meet production readiness standards including performance, scalability, monitoring and fault toleranceStay current with the rapidly evolving AI landscape and bring emerging techniques and tooling into the team where they add genuine value About you:Strong Python skills and deep applied AI/ML experience, with a track record of building and deploying models into production environmentsHands-on experience with LLM APIs, RAG system design and vector databases such as Pinecone, Weaviate or pgvectorProficiency with orchestration frameworks such as LangChain, LlamaIndex or equivalentSolid understanding of system design, APIs and how AI components integrate into broader engineering architecturesComfortable leading engineering teams and managing delivery across multiple workstreams simultaneously

We have partnered with a large, diversified conglomerate to hire an AI Manager with a Data Engineering focus. This is a hands-on technical leadership role sitting at the intersection of data infrastructure and AI delivery.The business is moving fast on its AI agenda and needs someone who understands that the quality of what gets deployed is only ever as good as the data that powers it. You will own the data engineering workstream within a cross-functional AI team, building the pipelines, platforms and architecture that make production AI systems possible.This role suits a technically strong engineer who has grown into delivery leadership and wants to operate at the centre of a genuinely ambitious AI programme.About the role:Design and build scalable, production-grade data pipelines and infrastructure that directly support AI and ML systems across the GroupTranslate business use cases into clean, well-architected technical solutions across both batch and streaming data environmentsOwn data platform development across cloud environments, ensuring reliability, performance and scalability at enterprise scaleDevelop APIs, workflows and integrations that connect data infrastructure to AI and ML systemsLead delivery across small engineering pods, maintaining pace, quality and clear accountabilityEnsure all solutions meet production readiness standards including monitoring, observability and fault tolerance About you:Strong hands-on experience building and maintaining data pipelines using ETL and ELT patterns in production environmentsProficiency with cloud data platforms such as Snowflake, BigQuery or RedshiftExperience with both batch and streaming processing frameworks such as Apache Spark, Kafka or equivalentStrong SQL and Python skills, with an understanding of software engineering principles applied to dataExperience designing data architecture that supports AI and ML systems, including feature stores, data lakes and semantic layersComfortable leading engineering teams and managing delivery across multiple workstreams

We have partnered with a large, diversified conglomerate to hire a Head of AI Engineering. This is a Group-level role with a mandate that matters. AI is moving from strategy into execution across the business, and this person will own that transition end to end. From identifying the right use cases to deploying production-grade systems at enterprise scale, the remit is broad, the visibility is high and the opportunity to leave a lasting mark on a complex organisation is real.This role suits a leader who is equally at home in a technical design review and a boardroom conversation. You will bring strong engineering depth, sharp commercial judgement and the ability to build and inspire a cross-functional team that delivers.About the role:Lead the identification, design and deployment of AI use cases across business functions, owning the full journey from concept to productionDefine and own the architecture across AI/ML, GenAI and automation systems at enterprise scaleBuild, lead and scale a cross-functional AI engineering team, setting the standard for how the function operates and deliversEstablish MLOps frameworks, deployment standards and governance practices that ensure AI systems are reliable, secure and maintainablePartner with product and business stakeholders across the Group to drive adoption, measure ROI and ensure AI initiatives deliver tangible commercial valueAct as the senior technical voice on AI across the organisation, influencing decisions at Group leadership level About you:10 to 15 years or more of experience in engineering, AI or large-scale technology delivery, with a clear track record of deploying AI and ML systems into production at enterprise scaleStrong hands-on understanding of LLMs, orchestration frameworks, MLOps and modern AI architecture patternsSolid experience across cloud platforms including AWS, Azure or GCP, alongside APIs and data pipeline designProven ability to lead technical teams and engage senior stakeholders with equal confidence and credibilityCommercially minded, with the ability to connect technical decisions to business outcomes and articulate value clearlyIndustry background is open, but experience within complex, multi-business-unit organisations is a strong advantageBased in the UAE or willing to relocate

We have partnered with a growth-stage enterprise SaaS business to hire an AI Product Manager. This company is not bolting AI onto an existing product and hoping for the best. They are rebuilding how their platform thinks, automates and serves users, and they need a PM who can lead that from the front. With serious engineering talent already in place and a leadership team that understands what AI can actually do, the conditions here are genuinely rare.This role suits someone who sits comfortably between the technical and the commercial. You understand how AI systems work well enough to have credible conversations with engineers, and you understand users well enough to know which problems are actually worth solving.About the role:Own the AI product roadmap, defining and prioritising features that embed AI meaningfully into the core platform experienceWork closely with engineering, data science and design to take AI capabilities from concept through to shipped, production-grade featuresConduct deep user and market research to identify where AI can reduce friction, automate workflows and create measurable value for enterprise customersDefine success metrics for AI features, building evaluation frameworks that go beyond vanity metrics to measure real user and business impactTranslate complex AI capabilities into clear product narratives that resonate with customers, sales and executive stakeholdersStay ahead of the rapidly evolving AI landscape, identifying emerging techniques and tools that could strengthen the productPartner with GTM and customer success teams to ensure AI features land well and drive adoption across the customer base About you:3 to 5 years of product management experience, with at least some of that spent shipping AI or ML powered features in a production environmentStrong enough technical understanding of AI and ML concepts to work as a genuine peer to engineering and data science teamsProven track record of owning and delivering features that created measurable value for enterprise customersComfortable operating in a fast-moving, growth-stage environment where priorities evolve and ambiguity is part of the jobSharp analytical mindset with experience using data to inform prioritisation, evaluate feature performance and drive decisionsExcellent communicator with the ability to align technical teams, commercial stakeholders and senior leadership around a shared visionFamiliarity with LLMs, agentic systems or workflow automation is a strong advantageBased in the US or authorised to work in the United States

We have partnered with an established fintech business to hire a BI Engineer. This is a business that runs on data. Decisions across product, commercial and operations are driven by insight, and the BI function sits right at the centre of that. With a mature data environment and a leadership team that genuinely values what good BI looks like, this is a strong platform for someone who wants to do their best work.About the role:Design, build and maintain scalable data models and BI solutions that serve commercial, product and operational teams across the businessOwn the development and continuous improvement of dashboards and reporting tools, ensuring they are accurate, performant and genuinely usefulWork closely with stakeholders to understand reporting requirements and translate them into clean, well-structured analytical solutionsBuild and maintain data pipelines that feed BI layers, working alongside data engineering to ensure reliability and consistencyDefine and enforce semantic layer standards, metrics definitions and data documentation that create a single source of truthIdentify opportunities to improve data accessibility, reduce manual reporting and drive self-serve analytics across the organisation About you:4 to 6 years of experience in BI engineering or a closely related analytics engineering roleStrong proficiency in SQL and experience working with modern data platforms such as Snowflake, BigQuery or RedshiftHands-on experience with BI tools such as Looker, Power BI or Tableau, including building production-grade dashboards and reportsSolid understanding of data modelling principles including dimensional modelling and experience with dbt or equivalent transformation toolingComfortable working directly with business stakeholders to gather requirements and deliver solutions that drive decisionsFintech, banking or financial services experience is advantageous

We have partnered with a leading omnichannel retailer in the UAE to appoint a Head of Data. This business operates across physical and digital channels, generating rich data across customer behaviour, inventory, supply chain and commercial performance. The opportunity is to bring that data together, make it trustworthy and turn it into something the business uses to compete.This role suits a seasoned data leader who can set strategy, shape technical direction and build a function that delivers real commercial value across a complex retail organisation.About the role:Define and lead the data strategy, aligning capability with commercial priorities across physical and digital channelsBuild and scale a data function spanning engineering, analytics, data science and governanceOwn the architecture and evolution of the data platform, ensuring it supports advanced analytics and AI use cases at scaleDrive the development of a unified customer view connecting online and offline behaviour across the full retail journeyEstablish data governance frameworks and quality standards that make data trustworthy across the organisationPartner with commercial, marketing, supply chain and technology leadership to embed data-driven decision making at every level About you:12 or more years of experience in data leadership, with a track record of building and scaling data functions within complex organisationsDeep understanding of the retail data landscape including customer analytics, merchandising, supply chain and omnichannel measurementStrong technical grounding across cloud data platforms, data modelling and analytics infrastructure, with experience in tools such as Snowflake, Databricks or dbtProven ability to lead high-performing teams across engineering, analytics and data science disciplinesCommercially minded, with the ability to connect data initiatives directly to revenue, margin and customer outcomesCredible at C-Suite level with strong stakeholder management skills

We have partnered with a high-growth SaaS business that is scaling its engineering function and needs a senior leader to help define what it becomes. The product is live, the customer base is expanding and the business is at an inflection point where engineering leadership will directly shape the trajectory of the next few years. This is not a role for someone who wants to manage from a distance. You will be close to the architecture, close to the product and close to the people building it. This role suits a technically credible leader who has grown into senior management without losing their instinct for what good engineering looks like. You will set the direction, own the culture and build a function that ships great product at scale, consistently. About the role:Own the engineering function end to end, setting the technical direction, delivery standards and team culture as the business scalesLead and develop a cross-functional engineering organisation responsible for building and evolving the core customer-facing platformPartner with the CEO, Product and broader leadership team to align engineering capacity and capability with commercial prioritiesDefine and embed engineering best practices across architecture, code quality, testing, security and operational reliabilityDrive hiring strategy and build out the engineering team, attracting and retaining strong talent as the company growsOwn key architectural and platform decisions, balancing long-term scalability with the pace demands of a growth-stage businessCreate an environment where engineers do their best work, with clear progression, strong feedback culture and genuine investment in developmentAbout you:Proven track record as a Head of Engineering, VP Engineering or senior Engineering Manager ready to step up, within a product-led SaaS environmentTechnically credible with a strong engineering background and the ability to contribute meaningfully to architectural and platform decisionsExperienced leading and scaling engineering teams through periods of significant growthSkilled at operating across both the strategic and the operational, comfortable in a board-level conversation and a technical design review in the same dayStrong track record of partnering with Product to ship high-quality, customer-facing features at paceClear, direct communicator who can align engineering, product and business stakeholders around a shared direction

We have partnered with a globally recognised technology organisation operating at the forefront of AI innovation to hire an AI Lead for their Centre of Excellence in the UAE. This is a senior hire that will help define the technical direction of the COE and play a leading role across a diverse portfolio of high-impact AI projects. For the right person, this is a chance to build something lasting inside an organisation with the resources, ambition and talent to do it properly.This role suits a technically deep, people-oriented leader who is as comfortable setting architectural direction as they are developing the engineers around them. You will have a direct hand in shaping how the COE operates, the standards it works to and the calibre of work it produces.About the role:Lead the technical delivery of AI initiatives across the COE's project portfolio, taking ownership of architecture, quality and outcomesDefine and embed AI engineering standards, frameworks and best practices across the Centre of ExcellenceMentor and develop a team of AI engineers, creating an environment where people grow quickly and perform at a high levelAct as the senior technical voice on AI across cross-functional project teams, partnering with engineering, data and product stakeholdersDrive the evaluation and adoption of emerging AI techniques, tools and research relevant to the organisation's areas of focusContribute to the strategic development of the COE, including capability planning, tooling decisions and technical roadmapRepresent the AI function in senior stakeholder conversations, translating complex technical concepts into clear business language About you:8 or more years of experience in AI engineering or applied machine learning, with a clear progression into technical leadershipStrong hands-on capability across the AI stack, including model development, deployment and production.Proven experience leading and mentoring engineering teams, with a track record of raising the technical bar around youDeep proficiency in Python and modern AI frameworks including TensorFlow, PyTorch or Hugging FaceBroad exposure across applied AI domains such as NLP, computer vision or generative AI, with production experience in at least oneExperience designing and implementing AI systems at scale within complex, multi-workstream environmentsExcellent communication and stakeholder management skills, with the ability to operate credibly at a senior levelPrior experience building or contributing to a Centre of Excellence or similar innovation function is a strong advantageUAE National status is required for this position

We have partnered with a globally recognised technology organisation in the UAE to appoint a DevOps Engineer. This is an opportunity to join a business that operates at a serious level of technical complexity, working alongside engineers and leaders who are genuinely invested in the growth of the people around them. If you are a UAE National with a solid DevOps foundation and ambitions to take your career to the next level, this is an environment built for exactly that.You will be embedded within a high-performing engineering function, contributing to real-world delivery across a varied portfolio of projects while developing your skills in a team that values craft, rigour and continuous improvement.About the role:Design, build and maintain CI/CD pipelines that support fast, reliable and repeatable software delivery across multiple projectsManage and evolve cloud infrastructure, ensuring environments are scalable, stable and cost-efficientSupport the containerisation and orchestration of applications using tools such as Docker and KubernetesImplement monitoring, alerting and observability frameworks to maintain platform health and enable rapid incident responseCollaborate closely with software engineering teams to embed DevOps practices and a culture of shared ownership across the delivery lifecycleContribute to infrastructure-as-code initiatives using tools such as Terraform or AnsibleLearn from senior engineers and technical leaders across a diverse and challenging project portfolio About you:3 to 5 years of experience in DevOps, infrastructure or platform engineering rolesHands-on experience with CI/CD tooling such as GitHub Actions, GitLab CI, Jenkins or equivalentWorking knowledge of cloud platforms including AWS, Azure or GCPExperience with containerisation and Kubernetes in a production or near-production environmentFamiliarity with infrastructure-as-code practices and toolingA genuine appetite to learn, grow and be challenged in a high-calibre technical environmentStrong communication skills and a collaborative working styleUAE Nationals only are required for this position

We have partnered with a globally recognised technology organisation operating at the forefront of AI innovation to appoint an AI Engineer for their newly established Centre of Excellence in the UAE. This is a rare opportunity for a UAE National to join a world-class team at the ground floor of something significant. The COE is already engaged across a diverse portfolio of high-impact projects, and this person will be an active contributor from day one.What makes this role genuinely compelling is the environment. You will be surrounded by exceptional engineers and technical leaders who are invested in developing the people around them. If you are early in your AI career and want to accelerate fast, there are few better places to do it.About the role:Contribute to the design, development and deployment of AI solutions across a varied portfolio of live projects within the Centre of ExcellenceWork alongside senior engineers and technical leads, gaining exposure to complex, real-world AI challenges across multiple domainsSupport the build-out of the COE's AI capability, including tooling, frameworks and best practicesCollaborate cross-functionally with data, engineering and product teams to integrate AI into broader solution architecturesStay current with developments in AI research and emerging techniques, bringing new thinking into the teamGrow your technical capability rapidly in an environment that actively invests in the development of its people About you:2 to 3 years of hands-on experience in AI engineering or a closely related disciplineSolid understanding of machine learning fundamentals and practical experience building and deploying modelsProficiency in Python and familiarity with frameworks such as TensorFlow, PyTorch or Hugging FaceExposure to NLP, computer vision or other applied AI domains is advantageousComfortable working across multiple projects simultaneously in a fast-moving, collaborative environmentStrong communication skills and a genuine appetite to learn from those around youUAE National status is required for this position

We have partnered with a Series B SaaS workflow automation platform that is changing how businesses operate at scale. Having proven the product and grown a loyal customer base, they are now entering the most exciting phase of their journey. The hard work of finding product-market fit is done. What comes next is where great product managers thrive, taking something that works and making it exceptional.This role is for a PM who loves the craft. You will have real autonomy over a meaningful portion of the product, working closely with engineering and design in a team small enough to move fast and senior enough to care about doing it right. If you want to own features end to end, be heard in every room and see your decisions ship to thousands of business users, this is the opportunity.About the role:Own the discovery, definition and delivery of new features across the workflow automation platform, from initial brief through to production releaseWork directly with customers to understand pain points, validate ideas and ensure the product continues to solve real problems at scalePartner with engineering and design to ship high-quality features quickly, maintaining a high bar for user experience and technical executionDefine and track product metrics that matter, using data to inform decisions and demonstrate impactContribute to roadmap planning and prioritisation, balancing short-term delivery with long-term product visionWork cross-functionally with sales, customer success and leadership to ensure new features land well and drive commercial outcomes About you:3 to 5 years of product management experience, ideally within a B2B SaaS environmentProven track record of owning and shipping features that have made a measurable difference to users and the businessComfortable working in a fast-moving, growth-stage environment where priorities shift and ambiguity is part of the jobStrong discovery and research skills, with the ability to turn customer insight into clear, actionable product decisionsData-literate, with experience defining success metrics and using analytics to guide prioritisationExcellent communicator with the ability to align stakeholders across engineering, commercial and leadership teamsExperience with workflow automation, operational tooling or process management software is a plus