account manager

sales manager

it sales account manager

assistant director ai security architect Jobs in Doha

assistant director ai security architect

solutions consultant

customer success manager sovereign ai cloud

Ooredoo Group of Companies

<div>About Us: 
Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of!
About the Business Unit: 
Ooredoo's Business BU is a critical part of the company's first line customer facing activities for all Business Accounts and has a significant role to play in long term business value creation through product design, achievement of sales revenue, profit and customer satisfaction, as defined in the annual business plans. modes: responding to specific partnership requests from other departments and proactively scouting partners based on industry trends and market opportunities.
The Professional Services department is a key pillar in the newly created Business solution division focused on providing solutions to Customers across Networks, Security and Hybrid cloud including the AI Solutions and GPUs. The professional services team is the overall lead in acquisition and delivery of projects.
About the Role: 
This is a role for Customer Success Manager in Ooredoo Sovereign AI Cloud
The role is focused on helping Ooredoo AI customers maximize the value they get from cloud-based AI solutions. The customer Success Manager (CSM) acts as a trusted advisor, guiding clients through implementation, adoption, and ongoing success with Ooredoo AI-driven cloud services. This role involves understanding client needs, developing success plans, monitoring usage, and providing support to ensure clients achieve their business goals.
This role involves working with clients to understand their business goals and how Ooredoo AI cloud solutions can help them transform and achieve those goals. This role involves tracking how clients are using the AI cloud services, identifying areas of success and areas where clients may need additional support or guidance. This role also involves offering Proactive Support to Customers. For more details, please click here.
About You: 
Technical Expertise:<ul><li>
Minimum 10 years' work experience</li><li>
Have 8+ years of experience in a customer success (or similar) role, preferably working with a technical enterprise product.</li><li>
Have 5+ years managing relationships with large, global, and complex organizations.</li><li>
Experience working with large IT organizations/ Companies and managing success programs as the key advisor to customer organizations.</li><li>
Highly skilled at building deep and broad relationships across a complex, matrixed organization.</li><li>
Have experience being a thought leader with your customer base.</li><li>
Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders.</li><li>
Expertly communicate technical concepts to customers and internal stakeholders</li><li>
Can proactively identify pain points in the product and with our customers.</li><li>
Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.</li><li>
Operate with high horsepower, have strong problem-solving skills, are adept at frequent context switching, effectively manage working on multiple projects at once with expansive ownership, and ruthlessly prioritize.</li><li>
Are personally committed to fostering the safe and ethical evolution of AI.</li><li>
Experience working in or with telecom, government, or regulated industries.</li></ul>
Excellent Analytical and Problem-Solving Skills:<ul><li>
Ability to identify the customer issues and work with the internal teams to ensure the success of the Solution.</li></ul>
Strong Communication and Interpersonal Skills :<ul><li>
Ability to collaborate effectively with various Customers and internal stakeholders and communicate issues clearly.</li></ul></div>

Customer Success Manager Sovereign AI Cloud

Ooredoo Qatar

<div>
 
 About the Role:
 
 
 This is a role for Customer Success Manager in Ooredoo Sovereign AI Cloud The role is focused on helping Ooredoo AI customers maximize the value they get from cloud-based AI solutions. The customer Success Manager (CSM) acts as a trusted advisor, guiding clients through implementation, adoption, and ongoing success with Ooredoo AI-driven cloud services. This role involves understanding client needs, developing success plans, monitoring usage, and providing support to ensure clients achieve their business goals.
 
 
 This role involves working with clients to understand their business goals and how Ooredoo AI cloud solutions can help them transform and achieve those goals. This role involves tracking how clients are using the AI cloud services, identifying areas of success and areas where clients may need additional support or guidance. This role also involves offering Proactive Support to Customers.
 
 
 
 
 
 Functional Context:
 
 
 Ooredoo&rsquo;s Business BU is a critical part of the company&rsquo;s first line customer facing activities for all Business Accounts and has a significant role to play in long term business value creation through product design, achievement of sales revenue, profit and customer satisfaction, as defined in the annual business plans. modes: responding to specific partnership requests from other departments and proactively scouting partners based on industry trends and market opportunities.
 
 
 
 
 
 The Professional Services department is a key pillar in the newly created Business solution division focused on providing solutions to Customers across Networks, Security and Hybrid cloud including the AI Solutions and GPUs. The professional services team is the overall lead in acquisition and delivery of projects.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Create and implement customer success plans that outline Ooredoo&rsquo;s AI Vision, goals, potential challenges, KPIs, and timelines.
 </li>
 <li>
 Working with clients to understand their business goals and how Ooredoo AI cloud solutions can help them transform and achieve those goals.
 </li>
 <li>
 Tracking how clients are using the Ooredoo AI cloud services, identifying areas of success and areas where clients may need additional support or guidance.
 </li>
 <li>
 Offering proactive support, troubleshooting issues, and providing training and resources to help clients effectively use the Ooredoo AI cloud solutions.
 </li>
 <li>
 Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies
 </li>
 <li>
 Strategize and execute initiatives to deliver an exceptional customer experience.
 </li>
 <li>
 Be an AI thought leader with customers and pair this with deep industry specific expertise to help drive this transformative technology. Work as an internal leader to share and scale those insights and frameworks to the Customer Success team.
 </li>
 <li>
 Implement and run use case development and enablement sessions that can scale across multiple regions and lines of business.
 </li>
 <li>
 Gather and relay customer feedback to internal stakeholders and identify themes across customers to incorporate into product planning.
 </li>
 <li>
 Collaborate closely with the Business Development team to ensure seamless handoff between pre- and post-sale.
 </li>
 <li>
 Anticipate at-risk renewals or user churn and collaborate with the relevant internal teams to devise corrective action plans.
 </li>
 <li>
 Foster customer advocacy and facilitate customer testimonials and case studies.
 </li>
 </ul>
 
 
 
 
 Minimum Entry Qualifications:
 
 
 A bachelor&rsquo;s degree in IT, Computer Science, or Engineering
 
 
 
 
 
 Minimum Experience, Essential Knowledge &amp; Skills:
 
 <ul>
 <li>
 Minimum 10 years&rsquo; work experience
 </li>
 <li>
 Have 8+ years of experience in a customer success (or similar) role, preferably working with a technical enterprise product.
 </li>
 <li>
 Have 5+ years managing relationships with large, global, and complex organizations.
 </li>
 <li>
 Experience working with large IT organizations/ Companies and managing success programs as the key advisor to customer organizations.
 </li>
 <li>
 Highly skilled at building deep and broad relationships across a complex, matrixed organization.
 </li>
 <li>
 Have experience being a thought leader with your customer base.
 </li>
 <li>
 Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders.
 </li>
 <li>
 Expertly communicate technical concepts to customers and internal stakeholders
 </li>
 <li>
 Can proactively identify pain points in the product and with our customers.
 </li>
 <li>
 Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.
 </li>
 <li>
 Operate with high horsepower, have strong problem-solving skills, are adept at frequent context switching, effectively manage working on multiple projects at once with expansive ownership, and ruthlessly prioritize.
 </li>
 <li>
 Are personally committed to fostering the safe and ethical evolution of AI.
 </li>
 <li>
 Experience working in or with telecom, government, or regulated industries.
 </li>
 </ul>
 
 
 
 
 
 Excellent Analytical and Problem-Solving Skills:
 
 
 
 Ability to identify the customer issues and work with the internal teams to ensure the success of the Solution.
 
 
 
 
 
 
 Strong Communication and Interpersonal Skills
 
 
 <ul>
 <li>
 Ability to collaborate effectively with various Customers and internal stakeholders and communicate issues clearly
 </li>
 </ul>
</div>

<div>
 
 About the Role:
 
 
 The Manager &ndash; AI Solutions Onboarding is a customer-facing role responsible for implementing, configuring, and supporting the onboarding of enterprise and government clients onto Ooredoo&rsquo;s GPU-as-a-Service platform. The role ensures seamless activation of GPU environments by handling system configuration, integration with customer workloads, and providing post-onboarding technical assistance.
 
 
 This role requires hands-on experience with GPU infrastructure, container orchestration, cloud and hybrid deployment models, and customer training/support, working closely with solution architects, delivery teams, and account managers to ensure a smooth onboarding experience and early customer success.
 
 
 
 
 
 Functional Context:
 
 
 This role sits within the Professional services team and directly contributes to project acquisition and delivery. The Manager leads the technical realization of AI solutions, ensuring architectural consistency, operational scalability, and compliance with local regulatory standards. The role collaborates closely with presales, delivery, and vendor teams to ensure successful execution of complex AI and infrastructure projects.
 
 
 
 
 
 The Professional Services department is a key pillar in the newly created Business solution division focused on providing solutions to Customers across Networks, Security and Hybrid cloud including the AI Solutions and GPUs. The professional services team is the overall lead in acquisition and delivery of projects.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Act as the technical lead for onboarding new enterprise and government clients to the Ooredoo GPUaaS platform.
 </li>
 <li>
 Understand the customer requirements for proper onboarding of the AI Solution.
 </li>
 <li>
 Deploy, configure, and validate GPU workloads for customer environments (cloud, hybrid, or on-prem).
 </li>
 <li>
 Integrate customer AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face) with Ooredoo GPU infrastructure.
 </li>
 <li>
 Set up and troubleshoot NVIDIA-powered environments (DGX, L40S, A100) and ensure optimal performance.
 </li>
 <li>
 Configure container environments (e.g., Docker, Kubernetes) for running AI/ML workloads on GPU nodes.
 </li>
 <li>
 Coordinate with storage and networking teams to Configure Storage and networking as per the requirements
 </li>
 <li>
 Validate System performance benchmarks during onboarding.
 </li>
 <li>
 Ensure proper integration with orchestration tools like Kubeflow, MLflow, or Slurm if used by the customer.
 </li>
 <li>
 Conduct validation testing, PoC trials, and GPU workload benchmarking to meet SLAs and customer expectations.
 </li>
 <li>
 Implement and verify security controls including user access, RBAC, data encryption, and network isolation.
 </li>
 <li>
 Provide technical training and documentation to customer teams on managing and optimizing their GPU environments.
 </li>
 <li>
 Capture and escalate technical issues to delivery and support teams as needed, ensuring resolution and transparency.
 </li>
 <li>
 Assist with system health checks, monitoring setup, and usage reporting during onboarding.
 </li>
 <li>
 Collaborate with architects and sales teams to ensure each onboarding is aligned with the designed solution.
 </li>
 <li>
 Maintain customer onboarding checklists, deployment documentation, and handover reports.
 </li>
 </ul>
 
 
 
 
 Minimum Entry Qualifications:
 
 
 Bachelor&rsquo;s degree in Computer Science, IT Infrastructure, or related field
 
 
 
 
 
 Minimum Experience, Essential Knowledge &amp; Skills:
 
 <ul>
 <li>
 Minimum 10 years&rsquo; work experience
 </li>
 <li>
 7+ years in infrastructure deployment, DevOps, or technical onboarding roles.
 </li>
 <li>
 Hands-on experience with GPU compute environments (NVIDIA DGX, cloud GPU VMs, etc.).
 </li>
 <li>
 Familiarity with containerization (Docker/Kubernetes) and AI/ML frameworks.
 </li>
 <li>
 Strong understanding of networking, storage, and cloud services as related to AI workloads.
 </li>
 <li>
 Customer support and troubleshooting experience in technical delivery settings.
 </li>
 <li>
 Ability to communicate technical concepts clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 
 Professional Experience:
 
 .
 
 <ul>
 <li>
 Familiarity with Qatari and regional ICT compliance standards (e.g., CRA, Q-CERT).
 </li>
 </ul>
 
 
 Excellent Analytical and Problem-Solving Skills:
 
 
 
 Ability to identify the customer requirements and convert them into a new potential AI use case or identify an existing use case, thereby helping Customer to build the AI solution
 
 
 
 Strong Communication and Interpersonal Skills
 
 
 <ul>
 <li>
 Ability to collaborate effectively with various Customers and internal stakeholders and communicate complex Solutions and AI use cases clearly
 </li>
 </ul>
</div>

Manager AI Solutions Onboarding

<div>
 
 About the Role:
 
 
 The
 
 AI Security Architect
 
 is a senior customer-facing role responsible for designing and guiding the secure implementation of AI platforms and workloads across Ooredoo&rsquo;s enterprise and government client base. The role ensures that AI solutions delivered by Ooredoo are secure, compliant, and resilient tailored to meet the regulatory, operational, and risk requirements of each customer.
 
 
 This role involves working directly with clients&rsquo; IT, cybersecurity, and data science teams to advise on secure architectures for AI/ML, safeguard sensitive data, and ensure compliance with local and international standards such as Q-CERT, CRA, and GDPR.
 
 
 
 
 
 Functional Context:
 
 
 This role sits within the Professional Services team and directly contributes to project acquisition and delivery. The Senior Manager leads the technical realization of AI solutions, ensuring architectural consistency, operational scalability, and compliance with local regulatory standards. The role collaborates closely with presales, delivery, and vendor teams to ensure successful execution of complex AI and infrastructure projects.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead security design and architecture for AI/ML solutions delivered to customers across sectors such as healthcare, public sector, energy, and finance.
 </li>
 <li>
 Develop and present secure AI reference architectures customized to each client&rsquo;s regulatory and operational environment.
 </li>
 <li>
 Design and implement security controls across the AI lifecycle, including model training, inference, data pipelines, and platform access.
 </li>
 <li>
 Ensure secure deployment of AI workloads in customer environments, whether on-premise, in hybrid infrastructure, or on public cloud platforms (Azure, AWS, GCP).
 </li>
 <li>
 Apply industry best practices for securing Kubernetes, containerized AI workloads, GPUs, APIs, and model endpoints.
 </li>
 <li>
 Work with customers to implement role-based access controls, encryption (at-rest and in-transit), audit logging, and identity federation for AI platforms.
 </li>
 <li>
 Support threat modeling, vulnerability assessments, and risk mitigation strategies tailored for AI workloads and data.
 </li>
 <li>
 Advise on model governance, explainability, and adversarial ML protection to ensure customer trust and regulatory alignment.
 </li>
 <li>
 Conduct workshops and technical sessions with customer security, IT, and data science teams to transfer knowledge and align on solution design.
 </li>
 <li>
 Collaborate with internal teams (Sales, Solution Architects, Delivery) to align customer-specific AI security designs with Ooredoo&rsquo;s offerings.
 </li>
 <li>
 Participate in customer RFPs and proposal development, ensuring all security aspects of AI solutions are clearly addressed.
 </li>
 <li>
 Stay up to date with AI security research, adversarial attack vectors, and new security tooling in the AI/ML space.
 </li>
 <li>
 Ensure all customer solutions adhere to applicable security standards (e.g., Q-CERT, CRA, GDPR, ISO 27001, NIST).
 </li>
 <li>
 Act as the key security advisor during customer AI solution design, pilot deployments, and production rollouts.
 </li>
 </ul>
 
 
 
 
 Minimum Entry Qualifications:
 
 
 Bachelor&rsquo;s in Cybersecurity, Computer Engineering, or related fields (Master&rsquo;s preferred)
 
 
 
 
 
 Minimum Experience, Essential Knowledge &amp; Skills:
 
 
 
 Technical Expertise
 
 
 :
 
 
 <ul>
 <li>
 Minimum 12 years of experience
 </li>
 <li>
 6+ years in technical consulting, solution architecture, or infrastructure engineering.
 </li>
 <li>
 4+ years&rsquo; experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management.
 </li>
 <li>
 Familiarity with enterprise platforms such as Azure, GCP, Oracle, and ISVs like VMware, and RedHat.
 </li>
 <li>
 Expertise in GPU-enabled architecture design, cloud migrations, and hybrid environments.
 </li>
 <li>
 Hands-on with Kubernetes, container platforms, and orchestration tools.
 </li>
 <li>
 Proficiency in AI/ML workflows and APIs (OpenAI, Azure AI, Hugging Face).
 </li>
 <li>
 Deep knowledge of networking (including InfiniBand) and security architectures in enterprise/cloud contexts.
 </li>
 </ul>
 
 
 Professional Experience:
 
 
 <ul>
 <li>
 Experience working in or with telecom, government, or regulated industries.
 </li>
 <li>
 Familiarity with Qatari and regional ICT compliance standards (e.g., CRA, Q-CERT).
 </li>
 </ul>
 
 
 Excellent Analytical and Problem-Solving Skills:
 
 
 
 Ability to identify the customer requirements and convert them into a new potential AI use case or identify an existing use case, thereby helping Customer to build the AI solution
 
 
 
 Strong Communication and Interpersonal Skills
 
 
 <ul>
 <li>
 Ability to collaborate effectively with various Customers and internal stakeholders and communicate complex Solutions and AI use cases clearly
 </li>
 </ul>
</div>

Assistant Director AI security Architect

Anoud Technologies LLC

<div>
 
 
 About Us:
 
 
 
 
 Anoud Tech
 
 is a leading MENA-based global InsurTech company and was founded by Qatar Insurance Group in partnership with Swiss Re. Anoud Tech is facilitating the insurance industry&rsquo;s adoption of new technologies to modify operational processes, cultures, and customer experiences to meet rapidly changing business requirements for the new digital age. In Anoud Tech, insurers have a trustworthy technology partner with an unrivalled understanding of the functional and technical requirements of the industry within a rapidly evolving marketplace.
 
 
 
 
 
 
 Job Overview:
 
 
 
 We are looking for a Senior Technical Manager to lead the design, development, and implementation of enterprise IT solutions. This role involves managing technical teams, overseeing software architecture, and ensuring project success while aligning with business objectives. The ideal candidate should have strong leadership, technical expertise, and experience in managing complex IT projects.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 Project &amp; Team Management:
 
 
 <ul>
 <li>
 Lead and mentor software development teams to deliver high-quality insurance IT solutions.
 </li>
 <li>
 Manage the end-to-end SDLC for insurance applications, ensuring timely and cost-effective delivery.
 </li>
 <li>
 Coordinate with business analysts, architects, and QA teams to align technical solutions.
 </li>
 </ul>
 
 
 
 
 
 Solution Development &amp; Technical Oversight:
 
 
 <ul>
 <li>
 Guide the development team in microservices-based architectures, API integrations, and enterprise-wide digital solutions.
 </li>
 <li>
 Ensure best practices in software architecture, coding standards, security, and performance optimization.
 </li>
 <li>
 Oversee the development of core insurance applications and respective add-ons.
 </li>
 <li>
 Ability to design an intuitive UI/UX interfaces
 </li>
 </ul>
 
 
 
 
 
 Technology &amp; Process Improvements
 
 
 <ul>
 <li>
 Implement AI/ML to enhance insurance IT capabilities.
 </li>
 <li>
 Drive agile methodologies (Scrum, Kanban) and DevOps best practices.
 </li>
 <li>
 Identify and mitigate risks, security vulnerabilities, and compliance gaps
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Stakeholder Management:
 
 
 <ul>
 <li>
 Work closely with business analysts, product owners, and IT leadership to align technology with business goals.
 </li>
 <li>
 Partner with third-party vendors, Insurtech&rsquo;s, and cloud platforms to drive innovation.
 </li>
 <li>
 Conduct technical reviews, mentorship, and knowledge sharing within the team.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 
 
 
 <ul>
 <li>
 10+ years of experience in software architecture and solution design and development
 </li>
 <li>
 Bachelor (or) master&rsquo;s degree
 </li>
 <li>
 Knowledge of
 
 microservices
 
 , APIs, enterprise integration, and containerization (Docker/Kubernetes).
 </li>
 <li>
 Experience with DevOps, CI/CD,
 
 Agile
 
 methodologies, and cloud migrations.
 </li>
 <li>
 Strong
 
 leadership
 
 , problem-solving, and stakeholder management skills.
 </li>
 <li>
 Hands-on experience
 
 with Java/Oracle PLSQL
 
 </li>
 <li>
 Experience in driving Mobile First applications
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications:
 
 
 
 
 
 <ul>
 <li>
 Any certifications related to Cloud, AI &amp; ML
 </li>
 </ul>
</div>

Senior Technical Manager

<div>About Us: 
Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of!
About the Role: 
The AI Security Architect is a senior customer-facing role responsible for designing and guiding the secure implementation of AI platforms and workloads across Ooredoo's enterprise and government client base. The role ensures that AI solutions delivered by Ooredoo are secure, compliant, and resilient tailored to meet the regulatory, operational, and risk requirements of each customer. This role involves working directly with clients' IT, cybersecurity, and data science teams to advise on secure architectures for AI/ML, safeguard sensitive data, and ensure compliance with local and international standards such as Q-CERT, CRA, and GDPR.
This role sits within the Professional Services team and directly contributes to project acquisition and delivery. The Senior Manager leads the technical realization of AI solutions, ensuring architectural consistency, operational scalability, and compliance with local regulatory standards. The role collaborates closely with presales, delivery, and vendor teams to ensure successful execution of complex AI and infrastructure projects. For more details, please click here.
About You: 
Technical Expertise:<ul><li>
Minimum 12 years of experience</li><li>
6+ years in technical consulting, solution architecture, or infrastructure engineering.</li><li>
4+ years' experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management.</li><li>
Familiarity with enterprise platforms such as Azure, GCP, Oracle, and ISVs like VMware, and RedHat.</li><li>
Expertise in GPU-enabled architecture design, cloud migrations, and hybrid environments.</li><li>
Hands-on with Kubernetes, container platforms, and orchestration tools.</li><li>
Proficiency in AI/ML workflows and APIs (OpenAI, Azure AI, Hugging Face).</li><li>
Deep knowledge of networking (including InfiniBand) and security architectures in enterprise/cloud contexts.</li></ul>
Professional Experience:<ul><li>
Experience working in or with telecom, government, or regulated industries.</li><li>
Familiarity with Qatari and regional ICT compliance standards (e.g., CRA, Q-CERT).</li></ul>
Excellent Analytical and Problem-Solving Skills:<ul><li>
Ability to identify the customer requirements and convert them into a new potential AI use case or identify an existing use case, thereby helping Customer to build the AI solution.</li></ul>
Strong Communication and Interpersonal Skills:<ul><li>
Ability to collaborate effectively with various Customers and internal stakeholders and communicate complex Solutions and AI use cases clearl</li></ul>
Minimum Qualifications:<ul><li> 
Bachelor's Degree in Cybersecurity, Computer Engineering, or related fields (Master's preferred).</li><li>
Certifications such as CISSP, CCSP, CEH, OCSP, CKA/CKS, Azure Security Engineer, or relevant AI/ML security credentials</li></ul></div>

Assistant Director AI Security Architect

Power International Holding

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly experienced, strategic yet hands-on
 
 Client Delivery Manager
 
 to lead the delivery, scaling, and support of our AI SaaS platform across complex enterprise environments.
 
 
 The ideal candidate brings a strong blend of
 
 technical fluency
 
 ,
 
 compliance awareness
 
 ,
 
 client relationship management
 
 , and
 
 operational discipline
 
 &mdash;while consistently identifying opportunities for
 
 growth, automation
 
 , and
 
 efficiency
 
 . You will be responsible for ensuring the smooth, compliant, and value-driven delivery of our AI platform, to clients across industries such as
 
 healthcare, energy, oil &amp; gas, government, hospitality, and financial services
 
 .
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Own the end-to-end
 
 delivery execution
 
 for enterprise clients, ensuring SLA compliance, platform adoption, and long-term client satisfaction.
 </li>
 <li>
 
 Adapt delivery models
 
 to meet the needs of both large enterprises and fast-growing clients.
 </li>
 <li>
 Work cross-functionally with engineering, product, support, and commercial teams to
 
 scale service delivery
 
 in a high-growth AI SaaS environment.
 </li>
 <li>
 Integrate and manage
 
 compliance frameworks
 
 (e.g., GDPR, ISO, HIPAA) without compromising delivery agility or client experience.
 </li>
 <li>
 Leverage
 
 AI/ML and NLP-based automation
 
 to reduce Mean Time to Resolution (MTTR) and improve Customer Satisfaction (CSAT).
 </li>
 <li>
 Ensure
 
 operational discipline
 
 across regions using dashboards, escalation procedures, and delivery playbooks.
 </li>
 <li>
 Collaborate with commercial teams to
 
 identify up sell and cross-sell opportunities
 
 through data-driven delivery insights.
 </li>
 <li>
 Define, measure, and report on
 
 client success metrics
 
 , including platform engagement and business outcomes&mdash;not just satisfaction scores.
 </li>
 <li>
 Lead critical
 
 incident recovery efforts
 
 , restoring trust and service continuity in high-stakes situations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications, Experience, Skills &amp; Knowledge
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s Degree
 
 in Computer Science, Information Technology, Business, or a related field.
 </li>
 <li>
 Minimum
 
 5 years of experience
 
 in client delivery roles within
 
 SaaS, FinTech, HealthTech, or RegTech
 
 environments.
 </li>
 <li>
 
 GCC region experience
 
 (minimum 2 years) is a
 
 strong advantage
 
 .
 </li>
 <li>
 Proven track record in delivering
 
 complex software platforms
 
 to enterprise clients with high compliance or regulatory requirements.
 </li>
 <li>
 Experience with
 
 AI/ML-powered platforms
 
 , including
 
 automated triage workflows
 
 (e.g., NLP-based ticket routing or prioritisation).
 </li>
 <li>
 Demonstrated success in reducing MTTR and improving CSAT through
 
 intelligent automation and service optimisation
 
 .
 </li>
 <li>
 Consistent achievement of
 
 99%+ SLA compliance
 
 across global or multi-regional accounts.
 </li>
 <li>
 Strong knowledge of
 
 cloud infrastructure (e.g., AWS)
 
 with hands-on experience in cost optimisation initiatives.
 </li>
 <li>
 Solid understanding of
 
 regulatory frameworks
 
 such as
 
 GDPR
 
 ,
 
 ISO 27001
 
 , and
 
 HIPAA
 
 (for healthcare clients).
 </li>
 </ul>
 
 
</div>

Client Delivery Manager – AI SaaS

Explore 1600+ Customer success manager sovereign ai cloud in Doha this October. Find roles across top companies and apply now to boost your career.

1600 customer success manager sovereign ai cloud jobs IN Doha

Customer Success Manager Sovereign AI Cloud

Customer Success Manager Sovereign AI Cloud

Manager AI Solutions Onboarding

Assistant Director AI security Architect

Senior Technical Manager

Assistant Director AI Security Architect

Client Delivery Manager – AI SaaS