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    AI Product Manager Sample CVs

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    What makes a strong AI Product Manager CV

    • Highlight AI/ML product experience: define what AI features you have shipped (recommendation engines, NLP, generative AI, computer vision)
    • Specify methodology: Agile/Scrum, OKRs, PRD writing, roadmap prioritisation, A/B testing for ML models
    • Include technical fluency: model evaluation, prompt engineering, MLOps collaboration, data pipeline understanding
    • List tools: Jira, Confluence, Productboard, Mixpanel, Amplitude, Figma, SQL, Python (basic)
    • Quantify business impact: uplift in conversion, reduction in churn, latency improvements, revenue attributed to AI features

    Key skills employers look for

    AI/ML Product Strategy

    AI roadmap, generative AI features, LLM integration, model selection, build-vs-buy decisions, AI ethics

    Product Development

    PRD writing, user stories, sprint planning, acceptance criteria, A/B testing, feature prioritisation

    Stakeholder & Data Collaboration

    Engineering, data science, design alignment; OKR setting, executive communication, go-to-market

    Analytics & Tooling

    Mixpanel, Amplitude, SQL, Jira, Confluence, Productboard, Figma, model metrics, KPI dashboards

    How to tailor your CV

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