Product Analyst, AI Adoption & Use-Case Development
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Responsibilities
- Reports to: Product Manager/Builder
- Works closely with: Product Manager/Builder, Engineering, UX/Design, Business Stakeholders, Change & Communication, Data & Analytics
Requirements
- 2+ years of experience in a product, business analysis, change management, or consulting role - with direct exposure to technology products and end-user adoption challenges
- Direct experience with AI-powered tools - practical understanding of LLM capabilities, limitations, and the human factors that determine whether adoption succeeds or fails
- Deep understanding of product and business analysis craft: use-case framing, requirements writing, outcome-based success metrics, and structured stakeholder engagement
- Hands-on experience with AI-powered tools (as user, analyst, or enabler) - practical understanding of where LLMs add value and where they need guardrails
- Ability to manage stakeholder expectations for AI-based systems: variability, confidence thresholds, and what the model should and should not do
- Strong ability to synthesise qualitative feedback and usage data into clear product insights - using AI-assisted tooling where it accelerates, not replaces, judgment
- Exceptional communication skills - translates between business language and product/technical language without l
Additional Information
Job Description This role sits at the intersection of business needs and AI product capability. The Product Analyst is the person who takes a business team from 'we've heard about our AI products' to 'we can't imagine working without them.' Working closely with the Product Manager/Builder and directly with business stakeholders, you own the full arc: discovering use-cases, running PoCs, enabling adoption, and feeding real-world evidence back into the product roadmap. Your work is what turns a product into a platform. Did you feel a hit of dopamine? Yes? Then keep reading. You combine strong analytical instincts with real stakeholder credibility. You know that adoption doesn't happen by accident - it takes structured discovery, honest PoC design, and sustained enablement long after launch day.
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Company Intel
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