About LucidyaLucidya 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.This role sits at the heart of turning AI agent concepts into live, business-impacting solutions.About the RoleThe Project / Delivery Manager owns one critical question:“How do we execute what we promised?”You take the Solution Consultant’s vision and turn it into a clear execution plan, structured backlog, and predictable delivery rhythm - from initial scoping through go-live and stabilization.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.Key Responsibilities1. Scoping & Handover from Solution ConsultantYou step in once a pilot or project is conceptually approved.Formal HandoverReceive full delivery context, including:Discovery findingsWorkflow maps and agent logicSuccess criteria and KPIsPilot narrative and client expectationsClarify:Scope, constraints, dependencies, and assumptionsTechnical and operational boundariesScope ConfirmationTranslate high-level workflows into clear delivery components:AI Agent versions (v0, v1, v2…)Integrations, channels, and data sourcesDashboards, reporting, and monitoringTraining, enablement, and documentationAlign internally and with the client on:What is in scope vs out of scope for each phase2. Detailed Planning & Backlog ManagementThis is where ideas become execution.You own:Building the delivery plan and timeline:Milestones, sprints, and go-live checkpointsCross-team dependencies (AI, backend, integrations, data, CX ops)Creating and maintaining the delivery backlog:Break down deliverables into tasks and subtasksAssign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions)Keeping tools accurate and trusted:Trello / Jira / Notion as the single source of truthTask status, blockers, due dates, and changes3. Coordination & Day-to-Day ExecutionYou are the operational heartbeat of each pilot or project.Responsibilities include:Running regular execution cadences:Standups and check-insProgress reviews and decision syncsEnsuring tight collaboration between:Solution Consultants (business & workflows)Engineering and AI teams (implementation)Client stakeholders (CX, IT, Operations, Compliance)Driving execution discipline:Clear meeting notesAction items with owners and deadlinesRelentless follow-up until closure4. Risk, Change & Stakeholder ManagementAI agent delivery comes with moving parts - you own visibility and control.You will:Maintain a risk & issues log covering:Technical risks (data access, integrations, latency, environments)Business risks (scope creep, stakeholder shifts, external dependencies)Manage change transparently:Assess impact on scope, timelines, and deliveryAlign with stakeholders before executionProvide clear, consistent communication:Status updatesEscalations when neededExpectation management throughout the lifecycle5. UAT, Go-Live & Post-Go-Live StabilizationPlan and coordinate:UAT cycles and acceptance criteriaGo-live readiness and rollout plansEnsure smooth transition:Monitor early performance and issuesCoordinate fixes and optimizationsOwn final handover:DocumentationSupport transitionClear ownership post-deliveryRequirements5-8 years in:SaaS implementationTechnical project managementDigital or platform delivery3+ years delivering enterprise projects with multiple stakeholders (business & IT)Proven experience with:Integrations, APIs, and data-driven workflowsBackground in CX, contact centers, CRM, or customer-facing platforms is a strong plusExperience working closely with product and engineering teams in Agile/Scrum environmentsMust-Have SkillsProject & Delivery ExcellenceStrong command of:Scoping, timelines, milestonesRAID (Risks, Assumptions, Issues, Dependencies)Confident running:Standups, execution reviews, steering meetingsTechnical Literacy (Non-Coding)Comfortable with:API-based integrations and webhooksData flows between systemsAble to:Read basic API documentation and JSON payloadsTranslate technical constraints into delivery decisionsSolid conceptual understanding of:SaaS platformsLLMs and AI agent workflowsStakeholder Management & CommunicationCan confidently manage:CX leadershipIT and engineering teamsInternal product and AI stakeholdersProduces:Clear documentationActionable recapsConcise, honest status updatesExecution MindsetTurns ideas into:Tasks, owners, and deadlinesKeeps delivery tools always current and reliableStrong sense of ownership and follow-throughAI Project AwarenessComfortable with:Iterative AI delivery (experiments, versions, evaluation cycles)Data privacy, guardrails, and quality metricsUnderstands that AI delivery is adaptive, not linearWhy Join Lucidya’s AI Agents TeamWork at the intersection of AI, CX, and enterprise deliveryShape how AI agents are deployed in real-world, high-impact environmentsPartner with strong product, AI, and engineering teamsOwn delivery end-to-end - not just coordinationHelp define delivery standards for a brand-new AI business lineApply Now and help us redefine the future of Customer Experience with AI Agents.
About Lucidya
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.
This role sits at the heart of turning AI agent concepts into live, business-impacting solutions.
About the Role
The Project / Delivery Manager owns one critical question:
“How do we execute what we promised?”
You take the Solution Consultant’s vision and turn it into a clear execution plan, structured backlog, and predictable delivery rhythm - from initial scoping through go-live and stabilization.
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.
Key Responsibilities
1. Scoping & Handover from Solution Consultant
You step in once a pilot or project is conceptually approved.
Formal Handover
- Receive full delivery context, including:
- Discovery findings
- Workflow maps and agent logic
- Success criteria and KPIs
- Pilot narrative and client expectations
- Clarify:
- Scope, constraints, dependencies, and assumptions
- Technical and operational boundaries
Scope Confirmation
- Translate high-level workflows into clear delivery components:
- AI Agent versions (v0, v1, v2…)
- Integrations, channels, and data sources
- Dashboards, reporting, and monitoring
- Training, enablement, and documentation
- Align internally and with the client on:
- What is in scope vs out of scope for each phase
2. Detailed Planning & Backlog Management
This is where ideas become execution.
You own:
- Building the delivery plan and timeline:
- Milestones, sprints, and go-live checkpoints
- Cross-team dependencies (AI, backend, integrations, data, CX ops)
- Creating and maintaining the delivery backlog:
- Break down deliverables into tasks and subtasks
- Assign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions)
- Keeping tools accurate and trusted:
- Trello / Jira / Notion as the single source of truth
- Task status, blockers, due dates, and changes
3. Coordination & Day-to-Day Execution
You are the operational heartbeat of each pilot or project.
Responsibilities include:
- Running regular execution cadences:
- Standups and check-ins
- Progress reviews and decision syncs
- Ensuring tight collaboration between:
- Solution Consultants (business & workflows)
- Engineering and AI teams (implementation)
- Client stakeholders (CX, IT, Operations, Compliance)
- Driving execution discipline:
- Clear meeting notes
- Action items with owners and deadlines
- Relentless follow-up until closure
4. Risk, Change & Stakeholder Management
AI agent delivery comes with moving parts - you own visibility and control.
You will:
- Maintain a risk & issues log covering:
- Technical risks (data access, integrations, latency, environments)
- Business risks (scope creep, stakeholder shifts, external dependencies)
- Manage change transparently:
- Assess impact on scope, timelines, and delivery
- Align with stakeholders before execution
- Provide clear, consistent communication:
- Status updates
- Escalations when needed
- Expectation management throughout the lifecycle
5. UAT, Go-Live & Post-Go-Live Stabilization
- Plan and coordinate:
- UAT cycles and acceptance criteria
- Go-live readiness and rollout plans
- Ensure smooth transition:
- Monitor early performance and issues
- Coordinate fixes and optimizations
- Own final handover:
- Documentation
- Support transition
- Clear ownership post-delivery
Requirements
- 5-8 years in:
- SaaS implementation
- Technical project management
- Digital or platform delivery
- 3+ years delivering enterprise projects with multiple stakeholders (business & IT)
- Proven experience with:
- Integrations, APIs, and data-driven workflows
- Background in CX, contact centers, CRM, or customer-facing platforms is a strong plus
- Experience working closely with product and engineering teams in Agile/Scrum environments
Must-Have Skills
Project & Delivery Excellence
- Strong command of:
- Scoping, timelines, milestones
- RAID (Risks, Assumptions, Issues, Dependencies)
- Confident running:
- Standups, execution reviews, steering meetings
Technical Literacy (Non-Coding)
- Comfortable with:
- API-based integrations and webhooks
- Data flows between systems
- Able to:
- Read basic API documentation and JSON payloads
- Translate technical constraints into delivery decisions
- Solid conceptual understanding of:
- SaaS platforms
- LLMs and AI agent workflows
Stakeholder Management & Communication
- Can confidently manage:
- CX leadership
- IT and engineering teams
- Internal product and AI stakeholders
- Produces:
- Clear documentation
- Actionable recaps
- Concise, honest status updates
Execution Mindset
- Turns ideas into:
- Tasks, owners, and deadlines
- Keeps delivery tools always current and reliable
- Strong sense of ownership and follow-through
AI Project Awareness
- Comfortable with:
- Iterative AI delivery (experiments, versions, evaluation cycles)
- Data privacy, guardrails, and quality metrics
- Understands that AI delivery is adaptive, not linear
Why Join Lucidya’s AI Agents Team
- Work at the intersection of AI, CX, and enterprise delivery
- Shape how AI agents are deployed in real-world, high-impact environments
- Partner with strong product, AI, and engineering teams
- Own delivery end-to-end - not just coordination
- Help define delivery standards for a brand-new AI business line
Apply Now and help us redefine the future of Customer Experience with AI Agents.
Lucidya is one of the fastest growing SaaS startups in the world & the leading social media analytics tool geared towards Arabic language. By leveraging AI, Machine Learning & big data technologies, we are on a mission of helping businesses in MENA region to understand and better serve their customers using our Media & Customer Intelligence products.With an HQ in Riyadh and offices in different countries in the world, we are funded by the most reputable investors in the region and scaling rapidly to meet the increasing demand of our products.Come and join the startup that has been named by World Economic Forum as one the most promising startups in MENA region … be part of the history we are making.
Lucidya is one of the fastest growing SaaS startups in the world & the leading social media analytics tool geared towards Arabic language. By leveraging AI, Machine Learning & big data technologies, we are on a mission of helping businesses in MENA region to understand and better serve their customers using our Media & Customer Intelligence products.
With an HQ in Riyadh and offices in different countries in the world, we are funded by the most reputable investors in the region and scaling rapidly to meet the increasing demand of our products.
Come and join the startup that has been named by World Economic Forum as one the most promising startups in MENA region … be part of the history we are making.
