AI Engineering Manager: Marketing & Personalization AI

Proudly recognized as a Great Place to Work®, we are an AI-native customer experience platform purpose-built for emerging markets. With more than 25 years of conversational AI research and development, we serve over 5,000 enterprises across MENA and are pioneering sovereign, agentic AI through our Agentic Studio platform. As the category takes shape, the way Unifonic is perceived - by buyers, analysts, media, and the broader market - is a strategic asset. This role owns that perception.

We thrive on creativity, collaboration, and fun, where every idea is welcomed and celebrated. As shareholders in the company, we're more than just communicators-we're innovators shaping the future together. We are Unifones. Join us and be part of something extraordinary!

Meet the team!

Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic's solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.

As an AI Engineering Manager, you will lead the team behind Unifonic's marketing and personalization AI, building the intelligence that determines who to engage, through which channel, at what time, and with what message. You will 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. These systems directly drive conversion, engagement, and customer retention for the brands we serve.

This is a hands-on leadership role that combines people management with technical ownership. You will lead, mentor, and grow a team of talented AI engineers while actively contributing to architecture, technical design, code reviews, perform…

What you will bring

• Bachelor's or master's degree in Computer Science, Engineering, or a related field.
• 8+ years of software development experience with at least 3 years focused on AI/ML engineering and related technologies.
• Demonstrated experience building and shipping marketing or personalization AI in production recommendation systems, customer segmentation, propensity/churn/LTV modeling, real-time decisioning, or campaign optimization with measurable impact on business KPIs.
• Proven track record of leading, mentoring, or managing engineering teams, preferably in high-growth or innovative tech environments.
• Hands-on experience with a range of AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced modeling techniques (NLP, LLMs and generative AI, recommendation and ranking systems), and production-grade model deployments.
• Solid grounding in experimentation and measurement, A/B testing, uplift modeling, and evaluating model impact on conversion, engagement, retention, and ROAS.
• Proficiency in Python, cloud platforms (e.g., OCI, AWS, GCP), CI/CD workflows, and modern software engineering practices.
• Excellent communication and interpersonal skills, with the ability to motivate teams and build productive cross-functional relationships.
• A strategic and solution-oriented mindset, capable of balancing technical depth with big-picture thinking.
• Experience with MarTech ecosystems, customer data platforms (CDPs), campaign orchestration, marketing automation, or CPaaS/omnichannel messaging platforms is preferred
• Experience applying LLMs to marketing use cases, content generation, conversational commerce, or agentic customer journeys including fine-tuning and retrieval-augmented generation (RAG), ideally within the Hugging Face ecosystem (Transformers, PEFT, tokenizers, and the model hub) is preferred
• Exposure to Rust for performance-critical AI services, such as low-latency inference, real-time decisioning, or high-throughput data pipelines is preferred.
• Arabic NLP experience or familiari…