Unifonic
AI Engineering Manager: Marketing & Personalization AI
Rol remoto de AI Engineering Manager con fit claro de ubicación del candidato.
Publicado18 jul 2026
Países elegiblesGlobal
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Global
Resumen del rol
AI Engineering Manager: Marketing & Personalization AI
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Help us shape the future of communications by:
- Serving as the technical owner on AI model design, architecture, and integration for marketing and personalization use cases across the Unifonic product ecosystem.
Help us shape the future of communications by:
- Owning the technical roadmap for personalization AI, recommendation and next-best-action engines, customer segmentation and propensity models, campaign and send-time optimization, and generative AI for content personalization.
Help us shape the future of communications by:
- Leading the evaluation, selection, and implementation of AI/ML frameworks, tools, and best practices, ensuring scalability, robustness, and maintainability.
Help us shape the future of communications by:
- Participating in hands-on coding, solution prototyping, and code reviews to maintain high-quality standards and guide the team through complex technical challenges.
Help us shape the future of communications by:
- Overseeing and refining the AI development lifecycle, including model training, validation, deployment, experimentation (A/B and uplift testing), and ongoing improvement.
Help us shape the future of communications by:
- Leading a team of AI engineers, providing mentorship, regular feedback, and career development support.
Help us shape the future of communications by:
- Defining clear performance expectations, conducting performance reviews, and identifying growth opportunities for team members.
Help us shape the future of communications by:
- Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration.
Help us shape the future of communications by:
- Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team’s ongoing growth and success.
Help us shape the future of communications by:
- Working closely with the Director of AI Development, Product Managers, Designers, Data Scientists, and other Engineering leaders to translate business requirements into technical roadmaps and actionable engineering plans.
Help us shape the future of communications by:
- Ensuring seamless integration of AI capabilities into existing and future products, partnering with platform, infrastructure, and DevOps teams to optimize deployment and operations.
Help us shape the future of communications by:
- Communicating technical topics effectively to non-technical stakeholders, making recommendations and reporting progress, risks, and opportunities.
Help us shape the future of communications by:
- Implementing and continuously improving the development processes, standards, and tools that drive efficiency, reliability, and scalability.
Help us shape the future of communications by:
- Ensuring adherence to best practices in model governance, performance monitoring, and compliance with relevant data privacy and security regulations, including regional data residency requirements.
Help us shape the future of communications by:
- Monitoring engineering metrics and KPIs, leveraging data-driven insights to improve development velocity, code quality, and team efficiency and connecting model performance to marketing outcomes such as conversion, engagement, and retention.
What you will bring:
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
What you will bring:
- 8+ years of software development experience with at least 3 years focused on AI/ML engineering and related technologies.
What you will bring:
- 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.
What you will bring:
- Proven track record of leading, mentoring, or managing engineering teams, preferably in high-growth or innovative tech environments.
What you will bring:
- 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.
What you will bring:
- Solid grounding in experimentation and measurement, A/B testing, uplift modeling, and evaluating model impact on conversion, engagement, retention, and ROAS.
What you will bring:
- Proficiency in Python, cloud platforms (e.g., OCI, AWS, GCP), CI/CD workflows, and modern software engineering practices.
What you will bring:
- Excellent communication and interpersonal skills, with the ability to motivate teams and build productive cross-functional relationships.
What you will bring:
- A strategic and solution-oriented mindset, capable of balancing technical depth with big-picture thinking.
What you will bring:
- Experience with MarTech ecosystems, customer data platforms (CDPs), campaign orchestration, marketing automation, or CPaaS/omnichannel messaging platforms is preferred
What you will bring:
- 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
What you will bring:
- Exposure to Rust for performance-critical AI services, such as low-latency inference, real-time decisioning, or high-throughput data pipelines is preferred.
What you will bring:
- Arabic NLP experience or familiarity with the MENA market is preferred.
What you will bring:
- Experience scaling teams and systems in a high-growth SaaS environment is preferred.
Craft & Toolkit:
- Machine Learning & Deep Learning
- Generative AI & LLMs
- Recommendation Systems & Personalization
- Customer Segmentation, Propensity & Churn Modeling
- Python
- TensorFlow / PyTorch
- Hugging Face & RAG
- AWS / GCP / OCI
- MLOps & CI/CD
- A/B Testing & Model Evaluation
- Software Architecture & System Design
- AI Engineering Leadership & Team Management
Character Traits:
- Analytical thinking and problem-solving – approach problems clearly, use data, and find solutions.
- Ownership and accountability – take responsibility and follow projects through to completion.
- Communication – explain ideas clearly and listen to others across teams.
- Collaboration – work well with others and support team goals.
- Adaptability and learning – adjust to change and keep learning new skills or tools.
- Mentorship and knowledge sharing – help others grow and share what you know.
- Resilience – stay calm under pressure and handle setbacks constructively.
- Quality and attention to detail – do work carefully and strive for improvement.
- Advocacy and innovation – encourage best practices, efficiency, and new ideas
As a Unifone you’ll receive a range of benefits:
- 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
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