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AI Engineering Manager – Marketing, Personalization AI
UnifonicAI Engineering Manager leading the team behind marketing & personalization AI solutions at Unifonic. Delivering scalable AI capabilities that drive conversion, engagement, and customer retention.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML engineering, focusing on the development and delivery of scalable marketing and personalization solutions. Proficient in leading engineering teams, implementing best practices, and communicating complex technical concepts to diverse stakeholders.
Highest-signal resume keywords
AI/ML EngineeringPython ProficiencyTensorFlow and PyTorch ExperienceCustomer Segmentation and Propensity ModelingGenerative AI for Content Personalization
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML EngineeringCustomer SegmentationPropensity ModelingGenerative AIA/B TestingNLP TechniquesReal-Time DecisioningCampaign OptimizationProduction-Grade Model DeploymentAdvanced Modeling Techniques
Soft Skills
Excellent CommunicationInterpersonal SkillsTeam MotivationStrategic MindsetSolution-Oriented Thinking
Tools & Technologies
TensorFlowPyTorchOCIAWSGCPCI/CD WorkflowsMarTech EcosystemsCustomer Data PlatformsHugging Face EcosystemRust
Industry Keywords
Marketing AIPersonalization AICampaign OrchestrationCPaaSOmnichannel MessagingHigh-Growth SaaSMENA MarketConversational CommerceUplift ModelingModel Impact Evaluation
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformPythonPyTorchRustTensorflow
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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 familiarity with the MENA market is preferred.
- Experience scaling teams and systems in a high-growth SaaS environment is preferred.
Benefits
Comp & perks- Competitive salary and bonus
- Unifonic share scheme (we are all owners!)
- 30 holiday days after the first anniversary
- Your Birthday off!
- Spend up to 25 days per year working from anywhere in the world!
- Paid leave for new parents