Product Manager Job in Dazn Careers

What's your new role about?

Key Responsibilities:

• Define and execute a strategic roadmap for conversational AI platforms, ensuring alignment with organizational objectives and customer needs.
• Lead end-to-end product lifecycle management, including concept development, production deployment, and iterative improvement.
• Establish and track clear, measurable KPIs to evaluate the performance and success of conversational AI systems.
• Conduct thorough market research to identify emerging trends, technologies, and best practices in conversational AI, NLP, and generative AI.
• Document detailed technical requirements, including architecture, data pipelines, and API designs for conversational models.
• Collaborate with UX/UI teams to create intuitive, engaging, and accessible conversational interfaces.
• Translate customer pain points and business challenges into technically feasible, impactful product solutions.
• Leverage expertise in NLP models (e.g., Transformer-based architectures, GPT, BERT) to guide their application for targeted use cases.
• Drive the development and optimization of core AI components, including natural language understanding (NLU) models, dialog management systems, and generative AI models.
• Define metrics and frameworks to evaluate model accuracy and conversational success rates, partnering with analytics teams for real-time performance insights.
• Architect scalable solutions to manage high-volume conversational interactions across diverse channels.
• Ensure compliance with data privacy regulations (e.g., GDPR) when processing sensitive user data.

You ll be set up for success if you have:

• Extensive Experience working with large language models (LLMs) and fine-tuning them for specific domain requirements.
• Expertise in conversational design principles and tools and techniques.
• Proficient in building and deploying conversational AI solutions.
• Solid understanding of machine learning concepts, NLP techniques, and model evaluation methods.
• Experience designing scalable architectures for conversational systems, including cloud-based deployments.
• Strong experience working with RESTful APIs, webhooks, and third-party integrations.
• Proficiency in Python or another relevant programming language for prototyping and understanding engineering implementations.
• Proven ability to bridge technical details and business priorities to develop impactful product strategies.
• Strong understanding of customer service workflows and systems (e.g., CRM platforms like Salesforce or Zendesk).
• Familiarity with ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) systems for voice interfaces

Personal Attributes:

• Analytical mindset with a data-driven approach to problem-solving.
• Ability to communicate complex technical ideas to non-technical stakeholders.
• Experience managing cross-functional teams in an agile environment.