Responsibilities:

• Product Vision & Strategy:
• Ability to define a clear product vision and roadmap for generative AI-based products.
• Aligning the generative AI product with broader company goals, customer needs, and market trends.


• Cross-functional Collaboration:
• Strong collaboration skills to work with diverse teams (engineering, data science, design, marketing, etc.) to ensure alignment and smooth execution.
• Acting as a bridge between technical teams and non-technical stakeholders, ensuring everyone is on the same page.


• Customer-Centric Mindset:
• Understanding customer needs and pain points to ensure the generative AI product
• provides real value to teachers, school administrators & teachers.
• Ability to gather user feedback, conduct interviews, and analyse user behaviour to refine AI features based on real-world needs.


• Communication & Stakeholder Management:
• Ability to clearly communicate complex AI concepts to stakeholders with non-technical backgrounds.
• Writing product briefs, preparing presentations, and articulating the value proposition of generative AI products to business leaders.


• Project Management:
• Managing timelines, milestones, and deliverables for product launches, ensuring that generative AI features are shipped on time.
• Organising resources and coordinating tasks across teams to ensure smooth product development.


• Ethics & Responsible AI:
• Understanding the societal impact of generative AI technologies and ensuring the product is developed and used ethically.
• Proactively addressing potential issues like bias, fairness, transparency, and privacy in AI models.


• Business Acumen:
• Understanding how generative AI can create business value, drive revenue, and contribute to a sustainable product strategy.
• Ability to conduct market analysis, competitor research, and identify new monetisation opportunities for AI-powered products.


• Adaptability & Continuous Learning:
• Ability to stay up to date with the fast-evolving field of AI/ML, including new algorithms, tools, and industry trends.
• Flexibility to pivot product direction based on emerging technology, customer feedback, or unforeseen challenges.


• Problem-Solving & Decision-Making:
• Strong critical thinking to solve complex issues related to the generative AI model’s limitations, product constraints, or user feedback.
• Making data-driven decisions to prioritise features, allocate resources, and guide product development.


• Risk Management:
• Anticipating potential risks, such as AI model failures or customer dissatisfaction, and implementing mitigation strategies.
• Ensuring that ethical, legal, and compliance issues are addressed throughout the product lifecycle.

To be successful in this role, you will have:

• Required Experience/Skills:
• Proficiency in NLP (Natural Language Processing), Large Language model prompting, and cognitive search technologies, such as Watson Discovery, Elasticsearch and vector databases
• Expertise in NoSQL databases, such as Cloudant
• Experience with implementation and management of generative AI-enabled applications and enabling developer studios, such as watsonx.ai
• Skills in creating and managing AI assistants, such as Watson Assistant
• Ability to stay up to date with the fast-evolving field of AI/ML, including new algorithms, models, tools, and industry trends
• Experience with cloud platforms
• Familiarity with data science and data engineering concepts.
• Knowledge of AI ethics and responsible AI practices.


• Soft Skills:
• Excellent verbal and written communication skills.
• Strong problem-solving and troubleshooting abilities.
• Ability to work collaboratively with cross-functional teams.
• Ability to multitask and manage time effectively in a fast-paced environment