About the role
We are looking for an experienced AI Product Manager who has successfully built AI-powered products or features from the ground up. This role is ideal for someone who has been deeply involved in the end-to-end product lifecycle, from identifying customer problems and defining product strategy to working closely with engineering and AI/ML teams to launch and scale AI-driven solutions.
Responsibilities:
- Own the product roadmap for AI-powered products and features from ideation through launch and iteration.
- Define product vision, strategy, and success metrics aligned with business objectives.
- Collaborate closely with AI/ML Engineers, Data Scientists, Software Engineers, UX Designers, and business stakeholders to deliver scalable AI solutions.
- Translate customer problems into AI-driven product opportunities and define detailed product requirements.
- Drive product discovery through customer interviews, market research, competitive analysis, and data-driven insights.
- Prioritise features using customer impact, business value, and technical feasibility.
- Work with engineering teams throughout development, testing, release, and post-launch optimisation.
- Define product KPIs and continuously improve product performance through experimentation and user feedback.
- Stay current with advancements in Generative AI, LLMs, AI agents, RAG, automation, and emerging AI technologies.
Requirements:
- 4+ years of Product Management experience with significant ownership of AI-powered products.
- Proven experience building AI products or AI features from scratch and taking them to production.
- Strong understanding of the AI product development lifecycle, including experimentation, deployment, evaluation, and continuous improvement.
- Experience working closely with AI/ML engineering teams and understanding model capabilities, limitations, and trade-offs.
- Hands-on experience defining product requirements, writing PRDs, prioritising roadmaps, and managing agile product development.
- Strong analytical and problem-solving skills with a data-driven mindset.
- Excellent stakeholder management and communication skills.
Good to Have:
- Experience with Generative AI, LLMs, AI Agents, RAG (Retrieval-Augmented Generation), NLP, conversational AI, recommendation systems, or intelligent automation.
- Experience delivering AI products for US-based customers or global enterprises.
- Experience in SaaS, HRTech, Enterprise Software, or B2B AI platforms.
- Familiarity with AI evaluation metrics, model performance, and experimentation frameworks.
- Technical understanding of APIs, cloud platforms, and modern AI architecture.