product manager

sales engineer

account manager

senior product designer

account director

senior product manager ai agent platform

Lucidya | لوسيديا

<div>
 
 About Lucidya
 
 
 
 Lucidya is a leading AI-powered Customer Experience Management (CXM) platform that enables brands to listen, understand, and engage with their customers across multiple channels. As part of our ambitious growth and innovation roadmap, we are launching a new AI Agent platform designed to automate and elevate customer interactions through cutting-edge artificial intelligence.
 
 
 This is a strategic, ground-floor opportunity to join a small, dedicated team at the forefront of an emerging market. You won't just manage tasks - you will shape the product's vision, strategy, and execution, leaving a tangible mark on a transformative platform.
 
 
 
 Role Overview
 
 
 
 As the Senior Product Manager for the AI Agent platform, you will own the entire product lifecycle - from defining and refining the roadmap to driving discovery with clients, collaborating closely with engineering and design teams, and delivering high-impact features that meet evolving market and customer needs.
 
 
 You will be the key driver ensuring that our AI Agent delivers exceptional customer experience every day, continuously improving based on data, feedback, and market trends.
 
 
 
 Your Team &amp; Collaboration
 
 
 
 You will lead a high-performing, cross-functional team that includes:
 
 
 <ul>
 <li>
 2 Front-end Engineers
 </li>
 <li>
 2 Backend Engineers
 </li>
 <li>
 3 AI Engineers
 </li>
 <li>
 1 Senior Product Designer
 </li>
 <li>
 1 Software Quality Assurance Specialist
 </li>
 <li>
 Solution Consultant
 
 
 </li>
 </ul>
 Your collaboration extends across Lucidya's broader product teams (Social Listening, Engage), Sales and Customer Success teams, clients for discovery and validation, external integration partners, and AI leadership (Director of AI, AI Agent Engineering Manager).
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own and drive the product roadmap for the AI Agent platform, aligning priorities with business goals and client needs
 </li>
 <li>
 Lead continuous discovery efforts with customers and internal stakeholders to validate and refine product direction
 </li>
 <li>
 Define product scope, releases, and success metrics; monitor agent performance post-launch
 </li>
 <li>
 Translate client feedback into actionable product improvements and feature enhancements
 </li>
 <li>
 Collaborate with AI engineers to define agent use cases and capabilities
 </li>
 <li>
 Identify and prioritize integrations with third-party platforms and Lucidya modules based on business value
 </li>
 <li>
 Stay abreast of AI Agent industry trends and emerging technologies, evaluating their potential impact on our product
 </li>
 <li>
 Test and vet new tools and technologies to drive innovation and efficiency
 
 
 </li>
 </ul>
 
 Day-to-Day Activities
 
 
 
 <ul>
 <li>
 Conduct regular sync meetings with engineering and design teams for alignment on scope, priorities, and delivery timelines
 </li>
 <li>
 Prioritize and manage the product backlog in support of roadmap execution
 </li>
 <li>
 Engage in client discovery sessions and calls to gather insights and validate product decisions
 </li>
 <li>
 Write and refine detailed product specifications and user stories
 </li>
 <li>
 Review designs and provide constructive feedback to ensure usability and alignment
 </li>
 <li>
 Track and analyze product KPIs and agent performance data
 </li>
 <li>
 Coordinate with cross-functional stakeholders to ensure seamless product delivery
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Rapidly shape and execute a clear product vision and roadmap that resonates with client needs and market opportunities
 </li>
 <li>
 Establish robust discovery and feedback loops that consistently improve product-market fit
 </li>
 <li>
 Deliver scalable AI Agent features and integrations that drive customer satisfaction and business growth
 </li>
 <li>
 Foster strong collaboration and communication across technical and non-technical teams
 </li>
 <li>
 Demonstrate agility in navigating an evolving AI landscape and fast-moving market dynamics
 
 
 </li>
 </ul>
 
 Challenges You'll Overcome
 
 
 
 <ul>
 <li>
 Navigating the fast-evolving AI Agent market by continuously monitoring trends and making strategic decisions
 </li>
 <li>
 Extracting true client pain points when customer understanding of AI capabilities may be limited
 </li>
 <li>
 Quickly ramping up on technical and AI concepts to effectively partner with engineers and AI experts
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Experience:
 
 
 <ul>
 <li>
 5+ years as a Product Manager in B2B SaaS environments
 </li>
 <li>
 Experience with AI-powered products is a strong plus (focus on building AI-enabled features, not AI model development)
 
 
 </li>
 </ul>
 Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 Native Arabic speaker with professional proficiency in English
 </li>
 <li>
 Exceptional discovery skills to extract actionable insights from client feedback
 </li>
 <li>
 Strong prioritization and decision-making abilities, balancing trade-offs effectively
 </li>
 <li>
 Comfortable working closely with engineering teams and understanding technical concepts
 </li>
 <li>
 Excellent communication skills for diverse stakeholder engagement
 </li>
 <li>
 Creative and logical thinker with a hands-on mindset - willing to explore new tools and technologies
 </li>
 <li>
 Adaptable to ambiguity in a fast-paced, evolving product environment
 </li>
 <li>
 Market-aware: continuously researches AI, CXM, and competitive trends
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 <ul>
 <li>
 MawHub Screening
 </li>
 <li>
 Technical Interview with Kassem Bagher (AI Agent Engineering Manager) &amp; Hasan Al-Hendi (Head of Product)
 </li>
 <li>
 Final Interview with Tarik Shalby (General Manager - AI Agent) &amp; Qaiser Khan (Director of AI)
 
 
 </li>
 </ul>
 If you're passionate about AI, customer experience, and building products that redefine how brands engage with customers, we want to hear from you. Join us and help shape the future of AI-driven customer interactions.
</div>

Senior Product Manager - AI Agent Platform

Lucidya

<div><h3 class="jobSectionHeader">About Lucidya</h3>
Lucidya is a leading AI-powered Customer Experience Management (CXM) platform that enables brands to listen, understand, and engage with their customers across multiple channels. As part of our ambitious growth and innovation roadmap, we are launching a new AI Agent platform designed to automate and elevate customer interactions through cutting-edge artificial intelligence.
This is a strategic, ground-floor opportunity to join a small, dedicated team at the forefront of an emerging market. You won&rsquo;t just manage tasks - you will shape the product&rsquo;s vision, strategy, and execution, leaving a tangible mark on a transformative platform.<h3 class="jobSectionHeader">
Role Overview</h3>
As the Senior Product Manager for the AI Agent platform, you will own the entire product lifecycle - from defining and refining the roadmap to driving discovery with clients, collaborating closely with engineering and design teams, and delivering high-impact features that meet evolving market and customer needs.
You will be the key driver ensuring that our AI Agent delivers exceptional customer experience every day, continuously improving based on data, feedback, and market trends.<h3 class="jobSectionHeader">
Your Team &amp; Collaboration</h3>
You will lead a high-performing, cross-functional team that includes:<ul>
<li>
2 Front-end Engineers</li>
<li>2 Backend Engineers</li>
<li>3 AI Engineers</li>
<li>1 Senior Product Designer</li>
<li>1 Software Quality Assurance Specialist</li>
<li>Solution Consultant</li>
</ul>
Your collaboration extends across Lucidya&rsquo;s broader product teams (Social Listening, Engage), Sales and Customer Success teams, clients for discovery and validation, external integration partners, and AI leadership (Director of AI, AI Agent Engineering Manager).<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Own and drive the product roadmap for the AI Agent platform, aligning priorities with business goals and client needs.</li>
<li>Lead continuous discovery efforts with customers and internal stakeholders to validate and refine product direction.</li>
<li>Define product scope, releases, and success metrics; monitor agent performance post-launch.</li>
<li>Translate client feedback into actionable product improvements and feature enhancements.</li>
<li>Collaborate with AI engineers to define agent use cases and capabilities.</li>
<li>Identify and prioritize integrations with third-party platforms and Lucidya modules based on business value.</li>
<li>Stay abreast of AI Agent industry trends and emerging technologies, evaluating their potential impact on our product.</li>
<li>Test and vet new tools and technologies to drive innovation and efficiency.</li>
</ul><h3 class="jobSectionHeader">Day-to-Day Activities</h3><ul>
<li>Conduct regular sync meetings with engineering and design teams for alignment on scope, priorities, and delivery timelines.</li>
<li>Prioritize and manage the product backlog in support of roadmap execution.</li>
<li>Engage in client discovery sessions and calls to gather insights and validate product decisions.</li>
<li>Write and refine detailed product specifications and user stories.</li>
<li>Review designs and provide constructive feedback to ensure usability and alignment.</li>
<li>Track and analyze product KPIs and agent performance data.</li>
<li>Coordinate with cross-functional stakeholders to ensure seamless product delivery.</li>
</ul><h3 class="jobSectionHeader">What Success Looks Like</h3><ul>
<li>Rapidly shape and execute a clear product vision and roadmap that resonates with client needs and market opportunities.</li>
<li>Establish robust discovery and feedback loops that consistently improve product-market fit.</li>
<li>Deliver scalable AI Agent features and integrations that drive customer satisfaction and business growth.</li>
<li>Foster strong collaboration and communication across technical and non-technical teams.</li>
<li>Demonstrate agility in navigating an evolving AI landscape and fast-moving market dynamics.</li>
</ul><h3 class="jobSectionHeader">Challenges You&rsquo;ll Overcome</h3><ul>
<li>Navigating the fast-evolving AI Agent market by continuously monitoring trends and making strategic decisions.</li>
<li>Extracting true client pain points when customer understanding of AI capabilities may be limited.</li>
<li>Quickly ramping up on technical and AI concepts to effectively partner with engineers and AI experts.</li>
</ul>
Requirements
Experience:<ul>
<li>
5+ years as a Product Manager in B2B SaaS environments.</li>
<li>Experience with AI-powered products is a strong plus (focus on building AI-enabled features, not AI model development).</li>
</ul>
Skills &amp; Qualifications:<ul>
<li>
Native Arabic speaker with professional proficiency in English.</li>
<li>Exceptional discovery skills to extract actionable insights from client feedback.</li>
<li>Strong prioritization and decision-making abilities, balancing trade-offs effectively.</li>
<li>Comfortable working closely with engineering teams and understanding technical concepts.</li>
<li>Excellent communication skills for diverse stakeholder engagement.</li>
<li>Creative and logical thinker with a hands-on mindset - willing to explore new tools and technologies.</li>
<li>Adaptable to ambiguity in a fast-paced, evolving product environment.</li>
<li>Market-aware: continuously researches AI, CXM, and competitive trends.</li>
</ul><h3 class="jobSectionHeader">
Interview Process</h3><ul>
<li>MawHub Screening</li>
<li>Technical Interview with Kassem Bagher (AI Agent Engineering Manager) &amp; Hasan Al-Hendi (Head of Product)</li>
<li>Final Interview with Tarik Shalby (General Manager - AI Agent) &amp; Qaiser Khan (Director of AI)</li>
</ul>
If you&rsquo;re passionate about AI, customer experience, and building products that redefine how brands engage with customers, we want to hear from you. Join us and help shape the future of AI-driven customer interactions.</div>

<div><h3 class="jobSectionHeader">About Lucidya</h3>
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.<h3 class="jobSectionHeader">
About the Role</h3>
The Project / Delivery Manager owns one critical question:
&ldquo;How do we execute what we promised?&rdquo;
You take the Solution Consultant&rsquo;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.<h3 class="jobSectionHeader">
Key Responsibilities</h3><h3 class="jobSectionHeader">
1. Scoping &amp; Handover from Solution Consultant</h3>
You step in once a pilot or project is conceptually approved.
Formal Handover<ul>
<li>
Receive full delivery context, including:</li>
<li><ul><li>Discovery findings</li>
<li>Workflow maps and agent logic</li>
<li>Success criteria and KPIs</li>
<li>Pilot narrative and client expectations</li>
</ul></li><li>Clarify:</li>
<li><ul><li>Scope, constraints, dependencies, and assumptions</li>
<li>Technical and operational boundaries</li>
</ul></li>
</ul>Scope Confirmation<ul>
<li>
Translate high-level workflows into clear delivery components:</li>
<li><ul><li>AI Agent versions (v0, v1, v2&hellip;)</li>
<li>Integrations, channels, and data sources</li>
<li>Dashboards, reporting, and monitoring</li>
<li>Training, enablement, and documentation</li>
</ul></li><li>Align internally and with the client on:</li>
<li><ul><li>What is in scope vs out of scope for each phase</li></ul></li>
</ul><h3 class="jobSectionHeader">2. Detailed Planning &amp; Backlog Management</h3>
This is where ideas become execution.
You own:<ul>
<li>
Building the delivery plan and timeline:</li>
<li><ul><li>Milestones, sprints, and go-live checkpoints</li>
<li>Cross-team dependencies (AI, backend, integrations, data, CX ops)</li>
</ul></li><li>Creating and maintaining the delivery backlog:</li>
<li><ul><li>Break down deliverables into tasks and subtasks</li>
<li>Assign clear owners (AI Agent Engineers, Backend, Frontend, Data, Solutions)</li>
</ul></li><li>Keeping tools accurate and trusted:</li>
<li><ul><li>Trello / Jira / Notion as the single source of truth</li>
<li>Task status, blockers, due dates, and changes</li>
</ul></li></ul><h3 class="jobSectionHeader">3. Coordination &amp; Day-to-Day Execution</h3>
You are the operational heartbeat of each pilot or project.
Responsibilities include:<ul>
<li>
Running regular execution cadences:</li>
<li><ul><li>Standups and check-ins</li>
<li>Progress reviews and decision syncs</li>
</ul></li><li>Ensuring tight collaboration between:</li>
<li><ul><li>Solution Consultants (business &amp; workflows)</li>
<li>Engineering and AI teams (implementation)</li>
<li>Client stakeholders (CX, IT, Operations, Compliance)</li>
</ul></li><li>Driving execution discipline:</li>
<li><ul><li>Clear meeting notes</li>
<li>Action items with owners and deadlines</li>
<li>Relentless follow-up until closure</li>
</ul></li></ul><h3 class="jobSectionHeader">4. Risk, Change &amp; Stakeholder Management</h3>
AI agent delivery comes with moving parts - you own visibility and control.
You will:<ul>
<li>
Maintain a risk &amp; issues log covering:</li>
<li><ul><li>Technical risks (data access, integrations, latency, environments)</li>
<li>Business risks (scope creep, stakeholder shifts, external dependencies)</li>
</ul></li><li>Manage change transparently:</li>
<li><ul><li>Assess impact on scope, timelines, and delivery</li>
<li>Align with stakeholders before execution</li>
</ul></li><li>Provide clear, consistent communication:</li>
<li><ul><li>Status updates</li>
<li>Escalations when needed</li>
<li>Expectation management throughout the lifecycle</li>
</ul></li></ul><h3 class="jobSectionHeader">5. UAT, Go-Live &amp; Post-Go-Live Stabilization</h3><ul>
<li>Plan and coordinate:</li>
<li><ul><li>UAT cycles and acceptance criteria</li>
<li>Go-live readiness and rollout plans</li>
</ul></li><li>Ensure smooth transition:</li>
<li><ul><li>Monitor early performance and issues</li>
<li>Coordinate fixes and optimizations</li>
</ul></li><li>Own final handover:</li>
<li><ul><li>Documentation</li>
<li>Support transition</li>
<li>Clear ownership post-delivery</li>
</ul></li>
</ul>Requirements<ul>
<li>
5-8 years in:</li>
<li><ul><li>SaaS implementation</li>
<li>Technical project management</li>
<li>Digital or platform delivery</li>
</ul></li><li>3+ years delivering enterprise projects with multiple stakeholders (business &amp; IT)</li>
<li>Proven experience with:</li>
<li><ul><li>Integrations, APIs, and data-driven workflows</li></ul></li>
<li>Background in CX, contact centers, CRM, or customer-facing platforms is a strong plus</li>
<li>Experience working closely with product and engineering teams in Agile/Scrum environments</li>
</ul><h3 class="jobSectionHeader">Must-Have Skills</h3>
Project &amp; Delivery Excellence<ul>
<li>
Strong command of:</li>
<li><ul><li>Scoping, timelines, milestones</li>
<li>RAID (Risks, Assumptions, Issues, Dependencies)</li>
</ul></li><li>Confident running:</li>
<li><ul><li>Standups, execution reviews, steering meetings</li></ul></li>
</ul>
Technical Literacy (Non-Coding)<ul>
<li>
Comfortable with:</li>
<li><ul><li>API-based integrations and webhooks</li>
<li>Data flows between systems</li>
</ul></li><li>Able to:</li>
<li><ul><li>Read basic API documentation and JSON payloads</li>
<li>Translate technical constraints into delivery decisions</li>
</ul></li><li>Solid conceptual understanding of:</li>
<li><ul><li>SaaS platforms</li>
<li>LLMs and AI agent workflows</li>
</ul></li>
</ul>Stakeholder Management &amp; Communication<ul>
<li>
Can confidently manage:</li>
<li><ul><li>CX leadership</li>
<li>IT and engineering teams</li>
<li>Internal product and AI stakeholders</li>
</ul></li><li>Produces:</li>
<li><ul><li>Clear documentation</li>
<li>Actionable recaps</li>
<li>Concise, honest status updates</li>
</ul></li>
</ul>Execution Mindset<ul>
<li>
Turns ideas into:</li>
<li><ul><li>Tasks, owners, and deadlines</li></ul></li>
<li>Keeps delivery tools always current and reliable</li>
<li>Strong sense of ownership and follow-through</li>
</ul>
AI Project Awareness<ul>
<li>
Comfortable with:</li>
<li><ul><li>Iterative AI delivery (experiments, versions, evaluation cycles)</li>
<li>Data privacy, guardrails, and quality metrics</li>
</ul></li><li>Understands that AI delivery is adaptive, not linear</li>
</ul><h3 class="jobSectionHeader">Why Join Lucidya&rsquo;s AI Agents Team</h3><ul>
<li>Work at the intersection of AI, CX, and enterprise delivery</li>
<li>Shape how AI agents are deployed in real-world, high-impact environments</li>
<li>Partner with strong product, AI, and engineering teams</li>
<li>Own delivery end-to-end - not just coordination</li>
<li>Help define delivery standards for a brand-new AI business line</li>
</ul>
Apply Now and help us redefine the future of Customer Experience with AI Agents.</div>

Project / Delivery Manager - AI Agents

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

<div><h3 class="jobSectionHeader">About Lucidya</h3>
At Lucidya, we are pioneering the future of customer experience (CX) through our innovative AI Agents business line. Our AI-powered conversational agents transform how businesses engage with customers - delivering seamless, intelligent, and scalable support. Join us as a CX Manager and be the driving force ensuring these AI Agents deliver exceptional daily experiences to customers worldwide.<h3 class="jobSectionHeader">
Role Summary</h3>
As the CX Manager - AI Agent CX, you own the question:
&ldquo;Is this AI agent delivering a great customer experience every day?&rdquo; 
You will step in once our AI agent goes live, leading day-to-day CX operations, monitoring agent performance, managing feedback loops, and driving continuous improvement. Your role is critical in bridging technology and real-world customer interactions, ensuring our AI Agents not only meet but exceed CX expectations.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
1. Go-live &amp; Hypercare<ul>
<li>
Lead CX operations as the primary contact during and immediately after AI agent deployment.</li>
<li>Collaborate with Implementation and Delivery teams on go-live planning.</li>
<li>Define hypercare period expectations with client CX leadership.</li>
<li>Collect and act on frontline feedback from supervisors and agents to ensure smooth early-stage operations.</li>
</ul>
2. Daily CX Operations<ul>
<li>
Oversee how the AI agent integrates with live CX workflows, including queue management, routing, and escalation.</li>
<li>Partner with client CX teams to balance automation and human intervention effectively.</li>
<li>Ensure seamless escalation processes with complete context and no dead ends or loops.</li>
</ul>
3. Conversation &amp; Performance Monitoring<ul>
<li>
Review sample conversations weekly to identify friction points, gaps in empathy, tone, and clarity.</li>
<li>Track key CX metrics such as containment vs escalation, CSAT, complaint trends, and reopened cases.</li>
<li>Escalate urgent issues involving critical errors, escalation failures, or compliance risks to relevant teams promptly.</li>
</ul>
4. Feedback &amp; Tuning Loop (with LLM &amp; Product Teams)<ul>
<li>
Act as the bridge between live CX insights and AI tuning teams.</li>
<li>Compile structured feedback for engineers and QA teams to improve agent performance and expand capabilities.</li>
<li>Prioritise fixes and new use cases based on impact and customer needs.</li>
<li>Participate in review cycles to validate enhancements align with CX realities.</li>
</ul>
5. CX Training &amp; Internal Enablement<ul>
<li>
Develop and deliver training materials for client CX teams, including quick guides, escalation protocols, and best practices.</li>
<li>Support training sessions on interpreting AI agent conversations, reporting issues, and reassuring customers.</li>
</ul>
6. Reporting &amp; Use Case Expansion<ul>
<li>
Produce regular performance reports summarizing key insights, trends, and recommendations.</li>
<li>Identify and propose new automation or co-pilot CX use cases based on data and frontline feedback.</li>
<li>Collaborate with Solution Consultants and Sales teams to uncover expansion opportunities and contribute CX success stories for case studies.</li>
</ul>
Requirements<h3 class="jobSectionHeader">
What We&rsquo;re Looking For</h3><ul>
<li>5-8 years in CX operations, contact center management, customer support, or customer success.</li>
<li>2-3 years managing or closely working with digital/omnichannel CX platforms (CRM, ticketing, CCaaS, messaging).</li>
<li>Experience managing post-go-live CX tool operations (bots, IVR, live chat) is a strong advantage.</li>
</ul><h3 class="jobSectionHeader">Must-have Skills</h3><ul>
<li>Deep understanding of contact center and CX operations: queues, SLAs, routing, escalation, QA scorecards, supervisor roles.</li>
<li>Strong analytical mindset: adept at interpreting dashboards, spotting patterns, and translating data into actionable insights.</li>
<li>Conceptual knowledge of LLM/AI behavior, recognizing the need for ongoing monitoring and tuning.</li>
<li>Excellent communication and stakeholder management skills - comfortable engaging CX directors, supervisors, and frontline agents alike.</li>
<li>Structured, disciplined approach to collecting feedback and ensuring follow-through.</li>
<li>Bilingual in Arabic and English is a strong advantage.</li>
</ul><h3 class="jobSectionHeader">Why Join Lucidya?</h3><ul>
<li>Be at the forefront of AI-driven CX innovation in a fast-growing, dynamic environment.</li>
<li>Collaborate with cutting-edge AI, engineering, and product teams dedicated to revolutionizing customer engagement.</li>
<li>Impact millions of customers by delivering flawless, empathetic AI-powered experiences.</li>
<li>Grow your career with continuous learning and leadership opportunities.</li></ul> 
Apply now and be part of our mission to redefine customer experience through intelligent automation.</div>

CX Manager- AI Agents

WASAMAAN LLP

e&rsquo;re Looking for a Technical Co-FounderWe&rsquo;re building an AI-powered Sales Automation B2B SaaS platform &mdash; and 90% of the project is already completed (Python + FastAPI + Next.js).We need a Technical Co-Founder to help finalize, scale, and lead the tech.atform Includes:Calling Agent (Inbound + Outbound)inkedIn AutomationCold Email Engineead Scoringntegrated CRM &amp; Pipeline Automationhat&rsquo;s Done (90%)<ul><li>Backend &ndash; Python + FastAPI</li><li>Frontend &ndash; Next.js</li><li>Cloud + Database integrated</li><li>AI models + VoIP APIs connected</li><li>Working demo ready</li><li>Core modules tested</li></ul>ho We NeedA Technical Co-Founder who can:<ul><li>Finish last 10%</li><li>Handle scaling, security &amp; optimization</li><li>Improve AI modules + calling system</li><li>Manage DevOps &amp; cloud deployment</li><li>Lead future tech team</li><li>Think like a founder</li></ul>Why Join?<ul><li>Product almost ready &mdash; no building from zero</li><li>High equity + ownership</li><li>Strong business &amp; AI-focused founding team</li><li>Targeting Middle East, Europe &amp; U.S. markets</li><li>Investor interest and early traction</li></ul>You&rsquo;re not joining an idea &mdash;You&rsquo;re joining a nearly finished product ready to scale.interested? Let&rsquo;s talk.Wasil@leadflownex.comLeadFlowNex.com+91 9997762660Job Types: Full-time, PermanentPay: ﷼80,000.00 per month

Co-founder CTO

COGNNA

<div>As a Senior AI Engineer, you will be the primary architect of Cognna&rsquo;s autonomous agent reasoning engine and the high-scale inference infrastructure that powers it. You are responsible for building production-grade reasoning systems that proactively plan, use tools, and collaborate. You will own the full lifecycle of our specialized security models, from domain-specific fine-tuning to architecting distributed, high-throughput inference services that serve as Security-core intelligence in our platform.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
1. Agentic Architecture &amp; Multi-Agent Coordination<ul>
<li>
Autonomous Orchestration: Design stateful, multi-agent systems using frameworks like Google ADK.</li>
<li>Protocol-First Integration: Architect and scale MCP servers and A2A interfaces, ensuring a decoupled and extensible agent ecosystem.</li>
<li>Cognitive Optimization: Develop lean, high-reasoning microservices for deep reasoning, optimizing context token usage to maintain high planning accuracy with minimal latency.</li>
</ul>
2. Model Adaptation &amp; Performance Engineering<ul>
<li>
Specialized Fine-Tuning: Lead the architectural strategy for fine-tuning open-source and proprietary models on massive cybersecurity-specific telemetry.</li>
<li>Advanced Training Regimes: Implement Quantization-Aware Training (QAT) and manage Adapter-based architectures to enable the dynamic loading of task-specific specialists without the overhead of full-model swaps.</li>
<li>Evaluation Frameworks: Engineer rigorous, automated evaluation harnesses (including Human annotations and AI-judge patterns) to measure agent groundedness and resilience against the Security Engineer&rsquo;s adversarial attack trees.</li>
</ul>
3. Production Inference &amp; MLOps at Scale<ul>
<li>
Distributed Inference Systems: Architect and maintain high-concurrency inference services using engines like vLLM, TGI, or TensorRT-LLM.</li>
<li>Infrastructure Orchestration: Own the GPU/TPU resource management strategy.</li>
<li>Observability &amp; Debugging: Implement deep-trace observability for non-deterministic agentic workflows, providing the visibility needed to debug complex multi-step reasoning failures in production.</li>
</ul>
4. Advanced RAG &amp; Semantic Intelligence<ul>
<li>
Hybrid Retrieval Architectures: Design and optimize RAG pipelines involving graph-like data structures, agent-based knowledge retrieval and semantic searches.</li>
<li>Memory Management: Architect episodic and persistent memory systems for agents, allowing for long-running security investigations that persist context across sessions.</li>
</ul>
Requirements<ul>
<li>
Experience: 5+ years in AI/ML Engineering or Backend Systems. Must have contributed to large-scale AI/ML inference service in production.</li>
<li>Education: B.S/M.S. in Compuper Science, Engineering, AI, or related fields.</li>
<li>Inference Orchestration: KV-cache management, quantization formats like AWQ/FP8, and distributed serving across multi-node GPU clusters).</li>
<li>Agentic Development: Expert in building autonomous systems using Google ADK/Langgraph/Langchain and experienced with AI Observervability frameworks like LangSmith or Langfuse. Hands-on experience building AI applications with MCP and A2A protocols.</li>
<li>Cloud AI Native: Proficiency in Google Cloud (Vertex AI), including custom training pipelines, high-performance prediction endpoints, and the broader MLOps suite.</li>
<li>Programming: Python and experience with high-performance backends (Go/C++) for inference optimization. You are comfortable working in a Kubernetes-native environment.</li>
<li>CI/CD: You are comfortable working in a Kubernetes-native environment.</li>
</ul>
Benefits
 Competitive Package &ndash; Salary + equity options + performance incentives 
 Flexible &amp; Remote &ndash; Work from anywhere with an outcomes-first culture 
 Team of Experts &ndash; Work with designers, engineers, and security pros solving real-world problems 
 Growth-Focused &ndash; Your ideas ship, your voice counts, your growth matters 
 Global Impact &ndash; Build products that protect critical systems and data</div>

Senior AI Engineer (Agentic Systems & Inference) - Onsite

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