As a Product Owner for AI, you are expected to have a good understanding of the following technologies:
Conversational AI: NLP, spaCy, NLTK, Hugging Face Transformers, ASR, STT, TTS, NLU, Dialogue Management
Generative AI: LLMs, TensorFlow, PyTorch, Keras, Transformers, RAG, Langchain, Llama Index, Hugging Face
General AI: sklearn, DNN, RNN, LSTMs, Supervised Learning, Unsupervised Learning
Discover and refine business use cases of AI in customer care.
Organize and prioritize the backlog according to business value and customer needs.
Collaborate with other Product Owners and work in an agile, cross-functional team structure.
Plan AI initiatives aligned with the product vision.
Oversee our self-service offering through all channels, including chat, voice, and email, using technologies such as (Conversational) IVR, Speech Recognition, Chatbots, Natural Language Understanding, Voice Biometrics, and Language Models.
Design, present, and train customer self-service conversations for Expertflow partners and clients in English, ideally also in Arabic and French, globally.
Assume functional leadership for this capability, define our functional strategy, manage our relationship with AI vendors and Hugging Face Open Source models, and define the technical skills that we should maintain within our employees.
Define our functional offering and describe it on our website and blog posts.
Acquire sufficient technical depth to implement conversation flows on your own, enabling you to present with authority and knowledge.
Lead our AI team functionally and interact daily with the project implementation teams across Africa, our product development team in Pakistan, and sales and partners globally.
Qualifications:
Educational Background: Master’s degree in Engineering, Computer Science, or a related field.
Proven Experience: Demonstrated success in a senior role focused on AI technologies, ideally with experience in Product Management. Strong ability to communicate complex AI products and services clearly.
Domain Expertise: In-depth experience with AI technologies, including large language models (LLMs), AI engines, natural language processing (NLP), and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with AI-driven conversational design and integration with voice or chatbots is highly desirable.
Technical Proficiency: Proficiency in deploying AI models and working with AI tech stacks. Familiarity with cloud-based AI platforms such as AWS, Google Cloud AI, or Microsoft Azure AI is a plus.
Leadership Skills: Strong organizational, decision-making, and leadership abilities. Capable of driving AI projects forward and making impactful decisions.
Language Skills: Fluent in spoken and written English.