Industrial Engineer Jobs in Jordan

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Zaincash ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top Fintech company of 2023 and 2024 as well as GSMA’s Best Mobile Innovation Supporting Humanitarian Situations.<br> The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.<br> For more information, please visit www.<br>zaincash.iq. Responsibilities: 1.<br> AI Strategy and Use Case Development Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.<br> 2. Solution Design and Technical Leadership Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.<br> 3. Proof of Concept and Production Delivery Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.<br> 4. AI Governance, Risk, and Compliance Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with Information Security, Risk, Compliance, Legal, and Internal Audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.<br> 5. Data and Platform Readiness Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.<br> 6. Vendor and Partner Evaluation Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.<br> 7. Team Enablement and Knowledge Sharing Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.<br> Bachelor degree in Computer Science, Software Engineering, Data Science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.<br> Preferred Qualifications: Experience in fintech, banking, payments, telecom, financial services, or regulated industries.<br> Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.<br> Experience with Arabic language AI use cases, OCR, document processing, or image based verification.<br> Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.<br> Experience evaluating AI vendors and preparing business cases for technology investment.<br> Knowledge of data platforms, data pipelines, BI, and analytics environments.<br></span> </div>

<p><h4>Job description</h4> <p>Saab, Inc.'s Surveillance U.S. Division is seeking an electrical engineering functional manager to manage the team of electrical engineers and will report to the director of engineering. The individual that fills this role will collaborate with a multi-disciplinary team of functional managers across multiple engineering disciplines, as well as program management counterparts to ensure the execution and delivery of a quality end product within cost and schedule targets. Responsibilities will include:</p> <ul> <li>Lead and develop the electrical engineering team focused on meeting technical, program and business objectives.</li> <li>Program resource planning.</li> <li>Develop ongoing staffing capacity and long-term staffing plans.</li> <li>Recruit staff as necessary to meet business demand.</li> <li>Assign appropriate personnel to projects and programs.</li> <li>Ensure all personnel have established relevant goals and objectives that link directly to the objectives of the business.</li> <li>Provide technical oversight, guidance, mentorship and coaching to assigned personnel in the performance of their assigned tasks.</li> <li>Manage the annual performance review process, compensation reviews, and career development process.</li> <li>Ensure accountability for creation of accurate cost and schedule targets, and execution of technical effort in accordance with those targets.</li> <li>Understand and manage resources to program manager’s budget and schedule.</li> <li>Determine the department or team's strategy for completing a task.</li> <li>Maintain department competencies by creating a training strategy and providing training opportunities for employees to continue their professional development.</li> <li>Responsible for cost estimating activities related to contract proposals, IR&D, capital, and assigned overhead budgets.</li> <li>Ensure the basis of estimates (BOEs) and schedules are accurate, appropriate, documented and consistent with overall program objectives.</li> <li>Establish cost and schedule targets for team members.</li> <li>Monitor and control execution consistent with established technical, cost and schedule objectives.</li> <li>Support contract negotiations and fact finding as requested by program management.</li> <li>Provide credible technical insight and leadership within electrical engineering.</li> <li>Contribute to technology roadmap planning.</li> <li>Develop innovative technical solutions, assess technical risk and identify risk mitigation strategies within assigned discipline(s).</li> <li>Responsible for budgeting including overhead, capital requests, and software/tool subscriptions for the electrical engineering function.</li> <li>Be a champion for the quality and continuous improvement of technical processes.</li> <li>Ensure updates for QMS processes, forms, templates, work instructions and job aids are completed.</li> <li>Establish processes and benchmarks for measuring team and process performance.</li> <li>Ensure team is accountable for adherence to established processes and continuous improvement objectives.</li> </ul> <p><strong>Compensation range:</strong> $150,500 - $195,600</p> <p>The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training.</p> <h4>Skills and experience</h4> <ul> <li>Bachelor's degree in electrical engineering.</li> <li>15+ years of experience (if MA/MS, 12+ years of experience; if PhD, 10+ years of experience).</li> <li>Be a leading subject matter expert in the electrical engineering field.</li> <li>Working knowledge of Altium and SolidWorks.</li> <li>Ability to resolve complex issues in creative and effective ways.</li> <li>Ability to provide strategic direction for projects and programs in area of expertise.</li> <li>Ability to lead through ambiguity, anticipating change, mitigating risk, and making sound high impact decisions.</li> <li>Experience shaping organizational direction through technical leadership, innovation, and continuous improvement initiatives.</li> <li>Excellent written and verbal communication skills to collaborate across disciplines effectively.</li> <li>Willingness to travel up to 10% in support of program and business efforts.</li> <li>Ability to obtain a Secret level clearance.</li> </ul> <h4>Citizenship requirements</h4> <p>Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.</p> <h4>Drug-free workplaces</h4> <p>Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen.</p> <h4>Benefits</h4> <p>Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits.</p> <p>Highlights include:</p> <ul> <li>Medical, vision, and dental insurance for employees and dependents.</li> <li>Generous paid time off, including 8 designated holidays.</li> <li>401(k) with employer contributions.</li> <li>Tuition assistance and student loan assistance.</li> <li>Wellness and employee assistance resources.</li> <li>Employee stock purchase opportunities.</li> <li>Short-term and long-term coverage.</li> </ul> <h4>About us</h4> <p>Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations.</p> <p>Saab is a company where employees are valued as an asset and offered unlimited opportunities for advancing in their careers. We are also a company that respects each person’s needs and encourages employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an affirmative action employer for protected veterans and individuals with disabilities. Saab is an equal employment opportunity employer; all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, veteran status, or any other federal, state, or locally protected category.</p></p><p></p>

<p><h4>Job description</h4> <p>Saab, Inc.'s Surveillance U.S. Division is seeking an electrical engineering functional manager to manage the team of electrical engineers and will report to the director of engineering. The individual that fills this role will collaborate with a multi-disciplinary team of functional managers across multiple engineering disciplines, as well as program management counterparts to ensure the execution and delivery of a quality end product within cost and schedule targets. Responsibilities will include:</p> <ul> <li>Lead and develop the electrical engineering team focused on meeting technical, program and business objectives.</li> <li>Program resource planning.</li> <li>Develop ongoing staffing capacity and long-term staffing plans.</li> <li>Recruit staff as necessary to meet business demand.</li> <li>Assign appropriate personnel to projects and programs.</li> <li>Ensure all personnel have established relevant goals and objectives that link directly to the objectives of the business.</li> <li>Provide technical oversight, guidance, mentorship and coaching to assigned personnel in the performance of their assigned tasks.</li> <li>Manage the annual performance review process, compensation reviews, and career development process.</li> <li>Ensure accountability for creation of accurate cost and schedule targets, and execution of technical effort in accordance with those targets.</li> <li>Understand and manage resources to program manager’s budget and schedule.</li> <li>Determine the department or team's strategy for completing a task.</li> <li>Maintain department competencies by creating a training strategy and providing training opportunities for employees to continue their professional development.</li> <li>Responsible for cost estimating activities related to contract proposals, IR&D, capital, and assigned overhead budgets.</li> <li>Ensure the basis of estimates (BOEs) and schedules are accurate, appropriate, documented and consistent with overall program objectives.</li> <li>Establish cost and schedule targets for team members.</li> <li>Monitor and control execution consistent with established technical, cost and schedule objectives.</li> <li>Support contract negotiations and fact finding as requested by program management.</li> <li>Provide credible technical insight and leadership within electrical engineering.</li> <li>Contribute to technology roadmap planning.</li> <li>Develop innovative technical solutions, assess technical risk and identify risk mitigation strategies within assigned discipline(s).</li> <li>Responsible for budgeting including overhead, capital requests, and software/tool subscriptions for the electrical engineering function.</li> <li>Be a champion for the quality and continuous improvement of technical processes.</li> <li>Ensure updates for QMS processes, forms, templates, work instructions and job aids are completed.</li> <li>Establish processes and benchmarks for measuring team and process performance.</li> <li>Ensure team is accountable for adherence to established processes and continuous improvement objectives.</li> </ul> <p><strong>Compensation range:</strong> $150,500 - $195,600</p> <p>The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training.</p> <h4>Skills and experience</h4> <ul> <li>Bachelor's degree in electrical engineering.</li> <li>15+ years of experience (if MA/MS, 12+ years of experience; if PhD, 10+ years of experience).</li> <li>Be a leading subject matter expert in the electrical engineering field.</li> <li>Working knowledge of Altium and SolidWorks.</li> <li>Ability to resolve complex issues in creative and effective ways.</li> <li>Ability to provide strategic direction for projects and programs in area of expertise.</li> <li>Ability to lead through ambiguity, anticipating change, mitigating risk, and making sound high impact decisions.</li> <li>Experience shaping organizational direction through technical leadership, innovation, and continuous improvement initiatives.</li> <li>Excellent written and verbal communication skills to collaborate across disciplines effectively.</li> <li>Willingness to travel up to 10% in support of program and business efforts.</li> <li>Ability to obtain a Secret level clearance.</li> </ul> <h4>Citizenship requirements</h4> <p>Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.</p> <h4>Drug-free workplaces</h4> <p>Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen.</p> <h4>Benefits</h4> <p>Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits.</p> <p>Highlights include:</p> <ul> <li>Medical, vision, and dental insurance for employees and dependents.</li> <li>Generous paid time off, including 8 designated holidays.</li> <li>401(k) with employer contributions.</li> <li>Tuition assistance and student loan assistance.</li> <li>Wellness and employee assistance resources.</li> <li>Employee stock purchase opportunities.</li> <li>Short-term and long-term coverage.</li> </ul> <h4>About us</h4> <p>Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations.</p> <p>Saab is a company where employees are valued as an asset and offered unlimited opportunities for advancing in their careers. We are also a company that respects each person’s needs and encourages employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an affirmative action employer for protected veterans and individuals with disabilities. Saab is an equal employment opportunity employer; all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, veteran status, or any other federal, state, or locally protected category.</p></p><p></p>

<p><h4>About Lucidya<\/h4>\n<p>Lucidya is building the next generation of AI-powered customer experience solutions for enterprises across the MENA region. Our new AI Agents business line focuses on deploying intelligent, enterprise-grade AI agents that automate, assist, and augment customer-facing and operational workflows - securely, reliably, and at scale.<\/p>\n<p>This role sits at the heart of turning AI agent concepts into live, business-impacting solutions.<\/p>\n<h4>About the Role<\/h4>\n<p>The Project \/ Delivery Manager owns one critical question:<\/p>\n<p><strong>\"How do we execute what we promised?\"<\/strong><\/p>\n<p>You take the Solution Consultant\u2019s vision and turn it into a clear execution plan, structured backlog, and predictable delivery rhythm - from initial scoping through go-live and stabilization.<\/p>\n<p>You are the operational backbone of AI agent pilots and enterprise deployments, ensuring alignment across clients, engineering, data, and AI teams while keeping delivery on track.<\/p>\n<h4>Key Responsibilities<\/h4>\n<ol>\n <li><strong>Scoping & Handover from Solution Consultant<\/strong>\n <p>You step in once a pilot or project is conceptually approved.<\/p>\n <p><strong>Formal Handover<\/strong><\/p>\n <p>Receive full delivery context, including:<\/p>\n <ul>\n <li>Discovery findings<\/li>\n <li>Workflow maps and agent logic<\/li>\n <li>Success criteria and KPIs<\/li>\n <li>Pilot narrative and client expectations<\/li>\n <\/ul>\n <p>Clarify:<\/p>\n <ul>\n <li>Scope, constraints, dependencies, and assumptions<\/li>\n <li>Technical and operational boundaries<\/li>\n <\/ul>\n <p><strong>Scope Confirmation<\/strong><\/p>\n <p>Translate high-level workflows into clear delivery components:<\/p>\n <ul>\n <li>AI Agent versions (v0, v1, v2\u2026)<\/li>\n <li>Integrations, channels, and data sources<\/li>\n <li>Dashboards, reporting, and monitoring<\/li>\n <li>Training, enablement, and documentation<\/li>\n <\/ul>\n <p>Align internally and with the client on:<\/p>\n <ul>\n <li>What is in scope vs out of scope for each phase<\/li>\n <\/ul>\n <\/li>\n <li><strong>Detailed Planning & Backlog Management<\/strong>\n <p>This is where ideas become execution.<\/p>\n <p>You own:<\/p>\n <ul>\n <li><strong>Building the delivery plan and timeline:<\/strong><\/li>\n <ul>\n <li>Milestones, sprints, and go-live checkpoints<\/li>\n <li>Cross-team dependencies (AI, backend, integrations, data, CX ops)<\/li>\n <\/ul>\n <li><strong>Creating and maintaining the delivery backlog:<\/strong><\/li>\n <ul>\n <li>Break down deliverables into tasks and subtasks<\/li>\n <li>Assign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions)<\/li>\n <\/ul>\n <li><strong>Keeping tools accurate and trusted:<\/strong><\/li>\n <ul>\n <li>Trello \/ Jira \/ Notion as the single source of truth<\/li>\n <li>Task status, blockers, due dates, and changes<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>Coordination & Day-to-Day Execution<\/strong>\n <p>You are the operational heartbeat of each pilot or project.<\/p>\n <p>Responsibilities include:<\/p>\n <ul>\n <li>Running regular execution cadences:<\/li>\n <ul>\n <li>Standups and check-ins<\/li>\n <li>Progress reviews and decision syncs<\/li>\n <\/ul>\n <li>Ensuring tight collaboration between:<\/li>\n <ul>\n <li>Solution Consultants (business & workflows)<\/li>\n <li>Engineering and AI teams (implementation)<\/li>\n <li>Client stakeholders (CX, IT, Operations, Compliance)<\/li>\n <\/ul>\n <li>Driving execution discipline:<\/li>\n <ul>\n <li>Clear meeting notes<\/li>\n <li>Action items with owners and deadlines<\/li>\n <li>Relentless follow-up until closure<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>Risk, Change & Stakeholder Management<\/strong>\n <p>AI agent delivery comes with moving parts - you own visibility and control.<\/p>\n <p>You will:<\/p>\n <ul>\n <li>Maintain a risk & issues log covering:<\/li>\n <ul>\n <li>Technical risks (data access, integrations, latency, environments)<\/li>\n <li>Business risks (scope creep, stakeholder shifts, external dependencies)<\/li>\n <\/ul>\n <li>Manage change transparently:<\/li>\n <ul>\n <li>Assess impact on scope, timelines, and delivery<\/li>\n <li>Align with stakeholders before execution<\/li>\n <\/ul>\n <li>Provide clear, consistent communication:<\/li>\n <ul>\n <li>Status updates<\/li>\n <li>Escalations when needed<\/li>\n <li>Expectation management throughout the lifecycle<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>UAT, Go-Live & Post-Go-Live Stabilization<\/strong>\n <p>Plan and coordinate:<\/p>\n <ul>\n <li>UAT cycles and acceptance criteria<\/li>\n <li>Go-live readiness and rollout plans<\/li>\n <\/ul>\n <p>Ensure smooth transition:<\/p>\n <ul>\n <li>Monitor early performance and issues<\/li>\n <li>Coordinate fixes and optimizations<\/li>\n <\/ul>\n <p>Own final handover:<\/p>\n <ul>\n <li>Documentation<\/li>\n <li>Support transition<\/li>\n <li>Clear ownership post-delivery<\/li>\n <\/ul>\n <\/li>\n<\/ol>\n<h4>Requirements<\/h4>\n<ul>\n <li>5-8 years in:\n <ul>\n <li>SaaS implementation<\/li>\n <li>Technical project management<\/li>\n <li>Digital or platform delivery<\/li>\n <\/ul>\n <\/li>\n <li>3+ years delivering enterprise projects with multiple stakeholders (business & IT)<\/li>\n <li>Proven experience with:\n <ul>\n <li>Integrations, APIs, and data-driven workflows<\/li>\n <li>Background in CX, contact centers, CRM, or customer-facing platforms is a strong plus<\/li>\n <li>Experience working closely with product and engineering teams in Agile\/Scrum environments<\/li>\n <\/ul>\n <\/li>\n<\/ul>\n<h4>Must-Have Skills<\/h4>\n<ul>\n <li><strong>Project & Delivery Excellence<\/strong>\n <ul>\n <li>Strong command of:\n <ul>\n <li>Scoping, timelines, milestones<\/li>\n <li>RAID (Risks, Assumptions, Issues, Dependencies)<\/li>\n <\/ul>\n <\/li>\n <li>Confident running:\n <ul>\n <li>Standups, execution reviews, steering meetings<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Technical Literacy (Non-Coding)<\/strong>\n <ul>\n <li>Comfortable with:\n <ul>\n <li>API-based integrations and webhooks<\/li>\n <li>Data flows between systems<\/li>\n <\/ul>\n <\/li>\n <li>Able to:\n <ul>\n <li>Read basic API documentation and JSON payloads<\/li>\n <li>Translate technical constraints into delivery decisions<\/li>\n <\/ul>\n <\/li>\n <li>Solid conceptual understanding of:\n <ul>\n <li>SaaS platforms<\/li>\n <li>LLMs and AI agent workflows<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Stakeholder Management & Communication<\/strong>\n <ul>\n <li>Can confidently manage:\n <ul>\n <li>CX leadership<\/li>\n <li>IT and engineering teams<\/li>\n <li>Internal product and AI stakeholders<\/li>\n <\/ul>\n <\/li>\n <li>Produces:\n <ul>\n <li>Clear documentation<\/li>\n <li>Actionable recaps<\/li>\n <li>Concise, honest status updates<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Execution Mindset<\/strong>\n <ul>\n <li>Turns ideas into:\n <ul>\n <li>Tasks, owners, and deadlines<\/li>\n <\/ul>\n <\/li>\n <li>Keeps delivery tools always current and reliable<\/li>\n <li>Strong sense of ownership and follow-through<\/li>\n <\/ul>\n <\/li>\n <li><strong>AI Project Awareness<\/strong>\n <ul>\n <li>Comfortable with:\n <ul>\n <li>Iterative AI delivery (experiments, versions, evaluation cycles)<\/li>\n <li>Data privacy, guardrails, and quality metrics<\/li>\n <\/ul>\n <\/li>\n <li>Understands that AI delivery is adaptive, not linear<\/li>\n <\/ul>\n <\/li>\n<\/ul>\n<h4>Why Join Lucidya\u2019s AI Agents Team<\/h4>\n<ul>\n <li>Work at the intersection of AI, CX, and enterprise delivery<\/li>\n <li>Shape how AI agents are deployed in real-world, high-impact environments<\/li>\n <li>Partner with strong product, AI, and engineering teams<\/li>\n <li>Own delivery end-to-end - not just coordination<\/li>\n <li>Help define delivery standards for a brand-new AI business line<\/li>\n<\/ul>\n<p>Apply now and help us redefine the future of customer experience with AI agents.<\/p><\/p><p><\/p>

<p><h4>About Lucidya<\/h4>\n<p>Lucidya is building the next generation of AI-powered customer experience solutions for enterprises across the MENA region. Our new AI Agents business line focuses on deploying intelligent, enterprise-grade AI agents that automate, assist, and augment customer-facing and operational workflows - securely, reliably, and at scale.<\/p>\n<p>This role sits at the heart of turning AI agent concepts into live, business-impacting solutions.<\/p>\n<h4>About the Role<\/h4>\n<p>The Project \/ Delivery Manager owns one critical question:<\/p>\n<p><strong>\"How do we execute what we promised?\"<\/strong><\/p>\n<p>You take the Solution Consultant\u2019s vision and turn it into a clear execution plan, structured backlog, and predictable delivery rhythm - from initial scoping through go-live and stabilization.<\/p>\n<p>You are the operational backbone of AI agent pilots and enterprise deployments, ensuring alignment across clients, engineering, data, and AI teams while keeping delivery on track.<\/p>\n<h4>Key Responsibilities<\/h4>\n<ol>\n <li><strong>Scoping & Handover from Solution Consultant<\/strong>\n <p>You step in once a pilot or project is conceptually approved.<\/p>\n <p><strong>Formal Handover<\/strong><\/p>\n <p>Receive full delivery context, including:<\/p>\n <ul>\n <li>Discovery findings<\/li>\n <li>Workflow maps and agent logic<\/li>\n <li>Success criteria and KPIs<\/li>\n <li>Pilot narrative and client expectations<\/li>\n <\/ul>\n <p>Clarify:<\/p>\n <ul>\n <li>Scope, constraints, dependencies, and assumptions<\/li>\n <li>Technical and operational boundaries<\/li>\n <\/ul>\n <p><strong>Scope Confirmation<\/strong><\/p>\n <p>Translate high-level workflows into clear delivery components:<\/p>\n <ul>\n <li>AI Agent versions (v0, v1, v2\u2026)<\/li>\n <li>Integrations, channels, and data sources<\/li>\n <li>Dashboards, reporting, and monitoring<\/li>\n <li>Training, enablement, and documentation<\/li>\n <\/ul>\n <p>Align internally and with the client on:<\/p>\n <ul>\n <li>What is in scope vs out of scope for each phase<\/li>\n <\/ul>\n <\/li>\n <li><strong>Detailed Planning & Backlog Management<\/strong>\n <p>This is where ideas become execution.<\/p>\n <p>You own:<\/p>\n <ul>\n <li><strong>Building the delivery plan and timeline:<\/strong><\/li>\n <ul>\n <li>Milestones, sprints, and go-live checkpoints<\/li>\n <li>Cross-team dependencies (AI, backend, integrations, data, CX ops)<\/li>\n <\/ul>\n <li><strong>Creating and maintaining the delivery backlog:<\/strong><\/li>\n <ul>\n <li>Break down deliverables into tasks and subtasks<\/li>\n <li>Assign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions)<\/li>\n <\/ul>\n <li><strong>Keeping tools accurate and trusted:<\/strong><\/li>\n <ul>\n <li>Trello \/ Jira \/ Notion as the single source of truth<\/li>\n <li>Task status, blockers, due dates, and changes<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>Coordination & Day-to-Day Execution<\/strong>\n <p>You are the operational heartbeat of each pilot or project.<\/p>\n <p>Responsibilities include:<\/p>\n <ul>\n <li>Running regular execution cadences:<\/li>\n <ul>\n <li>Standups and check-ins<\/li>\n <li>Progress reviews and decision syncs<\/li>\n <\/ul>\n <li>Ensuring tight collaboration between:<\/li>\n <ul>\n <li>Solution Consultants (business & workflows)<\/li>\n <li>Engineering and AI teams (implementation)<\/li>\n <li>Client stakeholders (CX, IT, Operations, Compliance)<\/li>\n <\/ul>\n <li>Driving execution discipline:<\/li>\n <ul>\n <li>Clear meeting notes<\/li>\n <li>Action items with owners and deadlines<\/li>\n <li>Relentless follow-up until closure<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>Risk, Change & Stakeholder Management<\/strong>\n <p>AI agent delivery comes with moving parts - you own visibility and control.<\/p>\n <p>You will:<\/p>\n <ul>\n <li>Maintain a risk & issues log covering:<\/li>\n <ul>\n <li>Technical risks (data access, integrations, latency, environments)<\/li>\n <li>Business risks (scope creep, stakeholder shifts, external dependencies)<\/li>\n <\/ul>\n <li>Manage change transparently:<\/li>\n <ul>\n <li>Assess impact on scope, timelines, and delivery<\/li>\n <li>Align with stakeholders before execution<\/li>\n <\/ul>\n <li>Provide clear, consistent communication:<\/li>\n <ul>\n <li>Status updates<\/li>\n <li>Escalations when needed<\/li>\n <li>Expectation management throughout the lifecycle<\/li>\n <\/ul>\n <\/ul>\n <\/li>\n <li><strong>UAT, Go-Live & Post-Go-Live Stabilization<\/strong>\n <p>Plan and coordinate:<\/p>\n <ul>\n <li>UAT cycles and acceptance criteria<\/li>\n <li>Go-live readiness and rollout plans<\/li>\n <\/ul>\n <p>Ensure smooth transition:<\/p>\n <ul>\n <li>Monitor early performance and issues<\/li>\n <li>Coordinate fixes and optimizations<\/li>\n <\/ul>\n <p>Own final handover:<\/p>\n <ul>\n <li>Documentation<\/li>\n <li>Support transition<\/li>\n <li>Clear ownership post-delivery<\/li>\n <\/ul>\n <\/li>\n<\/ol>\n<h4>Requirements<\/h4>\n<ul>\n <li>5-8 years in:\n <ul>\n <li>SaaS implementation<\/li>\n <li>Technical project management<\/li>\n <li>Digital or platform delivery<\/li>\n <\/ul>\n <\/li>\n <li>3+ years delivering enterprise projects with multiple stakeholders (business & IT)<\/li>\n <li>Proven experience with:\n <ul>\n <li>Integrations, APIs, and data-driven workflows<\/li>\n <li>Background in CX, contact centers, CRM, or customer-facing platforms is a strong plus<\/li>\n <li>Experience working closely with product and engineering teams in Agile\/Scrum environments<\/li>\n <\/ul>\n <\/li>\n<\/ul>\n<h4>Must-Have Skills<\/h4>\n<ul>\n <li><strong>Project & Delivery Excellence<\/strong>\n <ul>\n <li>Strong command of:\n <ul>\n <li>Scoping, timelines, milestones<\/li>\n <li>RAID (Risks, Assumptions, Issues, Dependencies)<\/li>\n <\/ul>\n <\/li>\n <li>Confident running:\n <ul>\n <li>Standups, execution reviews, steering meetings<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Technical Literacy (Non-Coding)<\/strong>\n <ul>\n <li>Comfortable with:\n <ul>\n <li>API-based integrations and webhooks<\/li>\n <li>Data flows between systems<\/li>\n <\/ul>\n <\/li>\n <li>Able to:\n <ul>\n <li>Read basic API documentation and JSON payloads<\/li>\n <li>Translate technical constraints into delivery decisions<\/li>\n <\/ul>\n <\/li>\n <li>Solid conceptual understanding of:\n <ul>\n <li>SaaS platforms<\/li>\n <li>LLMs and AI agent workflows<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Stakeholder Management & Communication<\/strong>\n <ul>\n <li>Can confidently manage:\n <ul>\n <li>CX leadership<\/li>\n <li>IT and engineering teams<\/li>\n <li>Internal product and AI stakeholders<\/li>\n <\/ul>\n <\/li>\n <li>Produces:\n <ul>\n <li>Clear documentation<\/li>\n <li>Actionable recaps<\/li>\n <li>Concise, honest status updates<\/li>\n <\/ul>\n <\/li>\n <\/ul>\n <\/li>\n <li><strong>Execution Mindset<\/strong>\n <ul>\n <li>Turns ideas into:\n <ul>\n <li>Tasks, owners, and deadlines<\/li>\n <\/ul>\n <\/li>\n <li>Keeps delivery tools always current and reliable<\/li>\n <li>Strong sense of ownership and follow-through<\/li>\n <\/ul>\n <\/li>\n <li><strong>AI Project Awareness<\/strong>\n <ul>\n <li>Comfortable with:\n <ul>\n <li>Iterative AI delivery (experiments, versions, evaluation cycles)<\/li>\n <li>Data privacy, guardrails, and quality metrics<\/li>\n <\/ul>\n <\/li>\n <li>Understands that AI delivery is adaptive, not linear<\/li>\n <\/ul>\n <\/li>\n<\/ul>\n<h4>Why Join Lucidya\u2019s AI Agents Team<\/h4>\n<ul>\n <li>Work at the intersection of AI, CX, and enterprise delivery<\/li>\n <li>Shape how AI agents are deployed in real-world, high-impact environments<\/li>\n <li>Partner with strong product, AI, and engineering teams<\/li>\n <li>Own delivery end-to-end - not just coordination<\/li>\n <li>Help define delivery standards for a brand-new AI business line<\/li>\n<\/ul>\n<p>Apply now and help us redefine the future of customer experience with AI agents.<\/p><\/p><p><\/p>

<p><h4>About Lucidya</h4> <p>Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.</p> <p>Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary NLU capabilities developed entirely in-house and trained on millions of multilingual conversations, equipping marketing, support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.</p> <p>Today, leading organizations across banking, insurance, healthcare, hospitality, and the public sector rely on Lucidya to understand their customers better and act faster. As we continue investing in Agentic AI, design plays a critical role in determining whether our technology feels powerful, trustworthy, and intuitive - or complex and overwhelming.</p> <h4>Why this role matters</h4> <p>We're entering a new phase of product development where AI doesn't simply provide recommendations - it takes action.</p> <p>Our Agentic AI capabilities are designed to monitor signals, surface opportunities, automate workflows, and help teams make better decisions faster. The technology is only one part of the challenge. The bigger challenge is designing experiences that help users trust AI enough to delegate work to it without feeling like they've lost control.</p> <p>As a Senior Product Designer, you'll help define what that future looks like.</p> <p>You'll shape how enterprise users interact with AI agents, how they understand decisions made on their behalf, and how they remain confident when AI operates in the background. Your work will directly influence product adoption, customer trust, and the speed at which our customers realize value from our platform.</p> <p>This is a role for someone who wants to work on difficult, meaningful design problems and leave a visible mark on the product, the design culture, and the future of AI-powered software.</p> <h4>What you'll do</h4> <li>Design experiences that make AI feel trustworthy<br> You'll own the end-to-end experience for key Agentic AI initiatives, helping users understand what AI is doing, why it's doing it, and when they should intervene. Success means customers feel empowered by AI rather than uncertain about it.</li> <li>Turn complex problems into intuitive workflows<br> Agentic systems introduce new UX challenges around autonomy, confidence, transparency, and control. You'll simplify these complexities into experiences that feel natural and easy to navigate, even when the underlying technology is sophisticated.</li> <li>Raise the quality bar across the product<br> You'll contribute polished, thoughtful design work that improves the overall quality of the platform. From information architecture to visual details, you'll help ensure Lucidya feels cohesive, modern, and enterprise-grade.</li> <li>Help customers adopt AI faster<br> The best AI capabilities create no value if users don't trust them enough to use them. You'll design onboarding, education, feedback loops, and interaction patterns that help customers move from curiosity to confidence.</li> <li>Design for Arabic-first enterprise users<br> You'll create experiences that work naturally across both Arabic and English environments, ensuring RTL experiences, localized content, and cultural expectations are considered from the beginning rather than treated as an afterthought.</li> <li>Build systems, not just screens<br> You'll contribute reusable patterns, components, and interaction models that can scale across multiple products and use cases. We value designers who solve problems at the platform level rather than repeatedly solving the same problem in different places.</li> <li>Use research to inform decisions<br> You'll spend time understanding customers, testing assumptions, validating solutions, and learning from real user behavior. We care about evidence and outcomes more than opinions.</li> <li>Elevate the people around you<br> We believe great design teams improve together. You'll participate in critiques, mentor other designers, share your thinking openly, and contribute to a culture of continuous improvement.</li> <h4>The challenges you'll tackle</h4> <p>Some of the questions you'll be helping us answer include:</p> <li>How do users remain in control when AI can act independently?</li> <li>When should an AI agent ask for approval versus acting autonomously?</li> <li>How do we communicate uncertainty, confidence, and reasoning without overwhelming users?</li> <li>How do we design graceful recovery experiences when AI gets things wrong?</li> <li>How do we reduce cognitive load instead of simply moving it elsewhere?</li> <li>How do we build trust with enterprise users who may be delegating increasingly important decisions to AI?</li> <li>How do we create AI experiences that feel equally natural in Arabic and English?</li> <p>These are not solved problems. You'll help define the answers.</p> <h4>Requirements</h4> <h4>Who you are</h4> <p>You're a product designer who enjoys solving difficult problems and cares deeply about the people using your work.</p> <p>You likely bring:</p> <li>5+ years of experience designing B2B SaaS or enterprise software products.</li> <li>A portfolio that demonstrates strong product thinking, not just attractive interfaces. We want to understand how you approached problems, evaluated trade-offs, and delivered outcomes.</li> <li>Strong UX and interaction design skills. You naturally think through workflows, states, edge cases, and user behavior.</li> <li>Excellent visual design craft. You care about hierarchy, typography, spacing, consistency, and details that make products feel polished.</li> <li>Advanced proficiency with Figma, including component systems, prototyping, and scalable design practices.</li> <li>Experience conducting or contributing meaningfully to user research and usability testing.</li> <li>The ability to collaborate effectively with product managers, engineers, and other stakeholders without relying on formal authority.</li> <li>Comfort operating in ambiguity. You can take loosely defined challenges and create clarity, structure, and momentum.</li> <li>Strong communication skills. You can explain design decisions in a way that makes sense to technical and non-technical audiences alike.</li> <p>Beyond experience, you'll thrive here if:</p> <li>You're curious and continuously learning.</li> <li>You seek feedback and give it constructively.</li> <li>You care more about solving customer problems than protecting your ideas.</li> <li>You're comfortable taking ownership and moving work forward without waiting for perfect instructions.</li> <li>You enjoy collaborating with people who challenge your thinking and raise your standards.</li> <li>You measure success by the impact your work creates, not just the volume of work produced.</li> <h4>Bonus points</h4> <p>While not required, we'd be particularly excited if you have experience with:</p> <li>AI products, copilots, agents, or autonomous systems.</li> <li>Designing experiences that communicate AI confidence, reasoning, and uncertainty.</li> <li>RTL and Arabic-first product design.</li> <li>Design systems and platform-scale design thinking.</li> <li>Responsible AI, explainability, or AI ethics principles.</li> <li>SaaS businesses serving enterprise customers in the Middle East.</li> <h4>What you can expect from us</h4> <p>At Lucidya, designers are not here to make screens look better after decisions have already been made.</p> <p>You'll be involved early in problem-solving, have meaningful influence on product direction, and work alongside teams that genuinely value design as a strategic function.</p> <p>You'll have the opportunity to work on emerging AI challenges, contribute to products used by leading enterprises across the region, and help shape how people interact with AI in their daily work.</p> <h4>What the hiring process will look like</h4> <li>Introductory conversation</li> <li>Hiring manager interview</li> <li>Practical design exercise - case study<br> A take-home or live design challenge relevant to the kinds of problems you'll solve at Lucidya, followed by a discussion of your approach and reasoning.</li> <li>Final conversations</li> <li>Culture fit / offer stage</li></p><p></p>

<p><h4>About Lucidya</h4> <p>Lucidya is an AI-native platform for customer experience (CX) intelligence that manages entire customer lifecycles autonomously, from initial engagement through retention and growth.</p> <p>Unlike platforms that only surface insights and leave the action to you, Lucidya completes the loop with proprietary NLU capabilities developed entirely in-house and trained on millions of multilingual conversations, equipping marketing, support, CX, and research teams to deliver personalized experiences that drive measurable improvements in customer satisfaction, retention, and lifetime value.</p> <p>Today, leading organizations across banking, insurance, healthcare, hospitality, and the public sector rely on Lucidya to understand their customers better and act faster. As we continue investing in Agentic AI, design plays a critical role in determining whether our technology feels powerful, trustworthy, and intuitive - or complex and overwhelming.</p> <h4>Why this role matters</h4> <p>We're entering a new phase of product development where AI doesn't simply provide recommendations - it takes action.</p> <p>Our Agentic AI capabilities are designed to monitor signals, surface opportunities, automate workflows, and help teams make better decisions faster. The technology is only one part of the challenge. The bigger challenge is designing experiences that help users trust AI enough to delegate work to it without feeling like they've lost control.</p> <p>As a Senior Product Designer, you'll help define what that future looks like.</p> <p>You'll shape how enterprise users interact with AI agents, how they understand decisions made on their behalf, and how they remain confident when AI operates in the background. Your work will directly influence product adoption, customer trust, and the speed at which our customers realize value from our platform.</p> <p>This is a role for someone who wants to work on difficult, meaningful design problems and leave a visible mark on the product, the design culture, and the future of AI-powered software.</p> <h4>What you'll do</h4> <li>Design experiences that make AI feel trustworthy<br> You'll own the end-to-end experience for key Agentic AI initiatives, helping users understand what AI is doing, why it's doing it, and when they should intervene. Success means customers feel empowered by AI rather than uncertain about it.</li> <li>Turn complex problems into intuitive workflows<br> Agentic systems introduce new UX challenges around autonomy, confidence, transparency, and control. You'll simplify these complexities into experiences that feel natural and easy to navigate, even when the underlying technology is sophisticated.</li> <li>Raise the quality bar across the product<br> You'll contribute polished, thoughtful design work that improves the overall quality of the platform. From information architecture to visual details, you'll help ensure Lucidya feels cohesive, modern, and enterprise-grade.</li> <li>Help customers adopt AI faster<br> The best AI capabilities create no value if users don't trust them enough to use them. You'll design onboarding, education, feedback loops, and interaction patterns that help customers move from curiosity to confidence.</li> <li>Design for Arabic-first enterprise users<br> You'll create experiences that work naturally across both Arabic and English environments, ensuring RTL experiences, localized content, and cultural expectations are considered from the beginning rather than treated as an afterthought.</li> <li>Build systems, not just screens<br> You'll contribute reusable patterns, components, and interaction models that can scale across multiple products and use cases. We value designers who solve problems at the platform level rather than repeatedly solving the same problem in different places.</li> <li>Use research to inform decisions<br> You'll spend time understanding customers, testing assumptions, validating solutions, and learning from real user behavior. We care about evidence and outcomes more than opinions.</li> <li>Elevate the people around you<br> We believe great design teams improve together. You'll participate in critiques, mentor other designers, share your thinking openly, and contribute to a culture of continuous improvement.</li> <h4>The challenges you'll tackle</h4> <p>Some of the questions you'll be helping us answer include:</p> <li>How do users remain in control when AI can act independently?</li> <li>When should an AI agent ask for approval versus acting autonomously?</li> <li>How do we communicate uncertainty, confidence, and reasoning without overwhelming users?</li> <li>How do we design graceful recovery experiences when AI gets things wrong?</li> <li>How do we reduce cognitive load instead of simply moving it elsewhere?</li> <li>How do we build trust with enterprise users who may be delegating increasingly important decisions to AI?</li> <li>How do we create AI experiences that feel equally natural in Arabic and English?</li> <p>These are not solved problems. You'll help define the answers.</p> <h4>Requirements</h4> <h4>Who you are</h4> <p>You're a product designer who enjoys solving difficult problems and cares deeply about the people using your work.</p> <p>You likely bring:</p> <li>5+ years of experience designing B2B SaaS or enterprise software products.</li> <li>A portfolio that demonstrates strong product thinking, not just attractive interfaces. We want to understand how you approached problems, evaluated trade-offs, and delivered outcomes.</li> <li>Strong UX and interaction design skills. You naturally think through workflows, states, edge cases, and user behavior.</li> <li>Excellent visual design craft. You care about hierarchy, typography, spacing, consistency, and details that make products feel polished.</li> <li>Advanced proficiency with Figma, including component systems, prototyping, and scalable design practices.</li> <li>Experience conducting or contributing meaningfully to user research and usability testing.</li> <li>The ability to collaborate effectively with product managers, engineers, and other stakeholders without relying on formal authority.</li> <li>Comfort operating in ambiguity. You can take loosely defined challenges and create clarity, structure, and momentum.</li> <li>Strong communication skills. You can explain design decisions in a way that makes sense to technical and non-technical audiences alike.</li> <p>Beyond experience, you'll thrive here if:</p> <li>You're curious and continuously learning.</li> <li>You seek feedback and give it constructively.</li> <li>You care more about solving customer problems than protecting your ideas.</li> <li>You're comfortable taking ownership and moving work forward without waiting for perfect instructions.</li> <li>You enjoy collaborating with people who challenge your thinking and raise your standards.</li> <li>You measure success by the impact your work creates, not just the volume of work produced.</li> <h4>Bonus points</h4> <p>While not required, we'd be particularly excited if you have experience with:</p> <li>AI products, copilots, agents, or autonomous systems.</li> <li>Designing experiences that communicate AI confidence, reasoning, and uncertainty.</li> <li>RTL and Arabic-first product design.</li> <li>Design systems and platform-scale design thinking.</li> <li>Responsible AI, explainability, or AI ethics principles.</li> <li>SaaS businesses serving enterprise customers in the Middle East.</li> <h4>What you can expect from us</h4> <p>At Lucidya, designers are not here to make screens look better after decisions have already been made.</p> <p>You'll be involved early in problem-solving, have meaningful influence on product direction, and work alongside teams that genuinely value design as a strategic function.</p> <p>You'll have the opportunity to work on emerging AI challenges, contribute to products used by leading enterprises across the region, and help shape how people interact with AI in their daily work.</p> <h4>What the hiring process will look like</h4> <li>Introductory conversation</li> <li>Hiring manager interview</li> <li>Practical design exercise - case study<br> A take-home or live design challenge relevant to the kinds of problems you'll solve at Lucidya, followed by a discussion of your approach and reasoning.</li> <li>Final conversations</li> <li>Culture fit / offer stage</li></p><p></p>