AI Product Manager

Job description

Here’s what your roles and responsibilities will look like: 01-Business problem solving Partner across Growth, Marketing, Supply Chain, Finance, Operations, Customer Experience and Technology. Find high-impact bottlenecks and run structured, data-driven Root Cause Analysis (RCA). Turn ambiguous asks into clear problem statements and actionable hypotheses. Prioritise opportunities by business impact, effort and scalability. 02-PRDs and solution design Gather and consolidate requirements from business stakeholders. Write crisp PRDs covering workflows, rules, data, edge cases and success metrics. Design testable MVPs and make Build vs Buy vs Integrate decisions. Work with business, data and technology teams to take solutions live. 03-Build AI-native solutions This is a hands-on role. You should be able to independently prototype using Python, APIs, structured data and LLMs. TYPICAL BUILDS- AI COPILOTS CHATBOTS RCA ENGINES AI AGENTS RAG SYSTEMS DECISION TOOLS REPORTING AUTOMATION 04- Drive AI adoption Run practical AI workshops and prompt-engineering sessions. Create reusable prompts, workflows and internal playbooks. Redesign repetitive work with an AI-first mindset. Build AI champions and drive sustained adoption across teams. WHAT WE'RE LOOKING FOR 2-4 years of high-quality professional experience. Strong structured problem-solving and first-principles thinking. Strong Python skills and comfort working with data. Working knowledge of SQL, APIs and data structures. Hands-on experience with OpenAI, Claude, Gemini or similar LLMs. Strong prompt engineering and AI-assisted workflow design. Working knowledge of machine learning, statistics and analytics. Ability to conduct RCA, derive insights and write excellent PRDs. Exceptional written and verbal communication. Curiosity, bias for action and comfort operating in ambiguity.