Unifonic

Engineering Manager

• Lead the team behind Unifonic's marketing and personalization AI.
• Own the development and delivery of AI capabilities spanning audience segmentation, propensity and churn prediction, next-best-action and channel recommendations, send-time optimization, campaign optimization, and generative AI for personalized content.
• Ensure the team delivers scalable, production-grade AI solutions and fosters engineering excellence.
• Serve as the technical owner on AI model design, architecture, and integration for marketing and personalization use cases across the Unifonic product ecosystem.
• Own the technical roadmap for personalization AI, recommendation and next-best-action engines, customer segmentation and propensity models, and generative AI for content personalization.
• Lead the evaluation, selection, and implementation of AI/ML frameworks, tools, and best practices.
• Collaborate with recruitment and HR to identify, attract, and retain top AI engineering talent.
• Communicate technical topics effectively to non-technical stakeholders.
• Implement and continuously improve the development processes, standards, and tools that drive efficiency, reliability, and scalability.

AI Engineering Manager – Marketing, Personalization AI

Data Engineer

• Invest in our "Data Foundation" space to become a data-driven organization
• Provide our business with needed insights about our customers, performance, and future predictions
• Responsible for building the future enterprise Data Lake for Unifonic
• Develop end-to-end data-related capabilities from data ingestion to reporting
• Help establish industry best practices for the data engineering team
• Build the needed capabilities for the organization to become more data-driven
• Evolve our data architecture by determining structural requirements
• Develop and install solutions
• Test and maintain those databases to ensure their longevity and overall efficiency

Senior Data Engineer

AI Engineer

• Owning the design and implementation of the AI-driven customer care systems and autonomous multi-agent orchestration workflows.
• Designing, developing, and scaling state-of-the-art cyclic graph agent networks and multi-agent systems using frameworks like LangGraph, CrewAI, or AutoGen.
• Optimizing LLM & Agent execution utilizing advanced runtime techniques such as quantization, pruning, batching, token streaming, and semantic caching to ensure ultra-low latency.
• Owning the solutions alignment of dependencies and service contracts with other teams.
• Designing, developing, and scaling real-time Retrieval-Augmented Generation (RAG) pipelines integrating state-of-the-art open-source LLMs (Llama 3, Mistral, Falcon, or similar).
• Implementing scalable, high-performance vector search (Qdrant, Weaviate, Milvus) for robust knowledge retrieval and semantic search.
• Having awareness of techniques such as quantization, pruning, distillation, batching, and caching for optimizing LLM inference with the minimum response times.
• Developing and exposing secure, performant APIs via FastAPI/gRPC or others, containerized (Docker), orchestrated (Kubernetes), and fully integrated into automated CI/CD pipelines.
• Embedding comprehensive monitoring and evaluation (e.g. MRR, Recall@k, NDCG, Faithfulness, latency metrics) and implementing automated regression testing for continuous improvement.
• Championing and enforcing best practices for data security, compliance (GDPR, Saudi PDPL is a plus), and responsible AI, including PII redaction and end-to-end encryption.
• Demonstrating mastery of foundational software engineering by writing clean code and architecture, maintainable and testable code, designing robust, modular, and scalable systems; leveraging version control, and implementing comprehensive continuous integration, automated testing, and deployment practices.
• Leading rigorous design and code reviews, mentoring engineers, and fostering an innovative engineering culture grounded in clean architecture, SOLID principles, and proactive best practices to ensure system reliability, security, and agility.

AI Engineering Lead

Performance Marketing

• Building and optimizing high-performance demand generation programs that convert paid and organic activity into qualified pipeline and revenue for Unifonic.
• Acting as a subject-matter expert within the growth team, defining channel strategy, improving performance across acquisition and conversion, and ensuring campaigns are data-driven, efficient, and scalable.
• Partnering closely with Marketing Operations, Product Marketing, and Sales to turn demand into qualified pipeline and revenue.
• Designing and optimizing full-funnel campaigns across paid search, paid social, display, and retargeting channels.
• Focusing on pipeline efficiency (CPL, CPA, cost per opportunity) rather than vanity metrics like clicks or impressions.
• Supporting account-based and intent-driven campaigns targeting key enterprise segments in MENA.
• Continuously testing and optimizing bidding strategies, audiences, and creatives to improve ROI.
• Supporting organic search strategy, including SEO and generative engine optimization (GEO).
• Improving landing page performance and conversion rates in collaboration with Web and Product teams.
• Contributing to technical and content SEO initiatives that improve organic pipeline over time.
• Optimizing inbound lead flows and nurture journeys using marketing automation platforms.
• Supporting lead scoring, routing, and lifecycle definitions in partnership with Marketing Operations and Sales.
• Ensuring accurate tracking and attribution across all funnel stages from first touch to opportunity.

AI Engineering Manager – Marketing, Personalization AI

Senior Data Engineer

AI Engineering Lead

Principal Performance Marketing Specialist