AI Engineering Manager – Marketing, Personalization AI

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Unifonic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2006

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 $125M Series B on 2021-09

Artificial Intelligence • SaaS • Telecommunications

Unifonic is a customer engagement platform powered by artificial intelligence, designed to facilitate personalized omnichannel communication. The company offers a variety of communication channels and applications, including SMS, Voice, WhatsApp, Push Notifications, and Webchat to enhance customer interactions across multiple industries. Unifonic focuses on improving marketing automation, IT and operations, and customer support by providing AI-powered tools and automated workflows, ensuring timely and efficient customer communication. Their solutions cater to industries such as retail, banking, healthcare, and logistics, providing integrations with popular platforms like Salesforce and Shopify. With over 25 billion messages sent and 5,000+ customers, Unifonic provides global connectivity and a seamless customer experience.

📋 Description

• 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

• 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

• 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