O pozici
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.
Co budeš dělat
- Use-Case Discovery & Business Analysis: Engage directly with business teams to understand their workflows, pain points, and unmet needs — going beyond what they ask for to find the underlying problem worth solving. Document use-cases with rigour: goals, success metrics, constraints, assumptions, and what 'good' looks like before work begins. Prioritise use-cases in partnership with the Product Man
- Requirements & Feature Definition: Translate business use-cases into clear, structured requirements and user stories that engineering and design can act on. Work with the Product Manager to define and refine AI features — including what the model should and should not do in each use-case context. Ensure requirements reflect the realities of working with LLM-based systems: manage stakeholder expect
- Onboarding & PoC Management: Plan and run onboarding of new business use-cases onto the core AI platform — from first briefing through to live usage. Coordinate PoCs with clear scope, success criteria, and timelines. Structure each PoC as a learning exercise, not just a demo — what hypothesis are we testing and how will we know? Track PoC progress, surface risks early, and communicate status trans
- AI Product Adoption & Change Enablement: Own the adoption arc for each use-case: training, enablement materials, live support during rollout, and proactive check-ins in the first 60 days. Collect structured feedback from users and business teams — tracking where the product is delivering value and where friction or distrust is limiting use. Work with Product and Change/Communication teams to desig
- Productisation of Use-Cases: Evaluate PoC outcomes against pre-defined success criteria and make a clear recommendation: productise, iterate, or stop. Define what's needed to move from a successful PoC to a robust, reusable capability in GPTeal: scalability, governance, support model, documentation. Collaborate with Product, Engineering, and Operations to integrate the use-case into the standard p
- Continuous Improvement & Product Feedback Loop: Monitor usage, engagement, and business impact of live use-cases — distinguishing between 'adopted' and 'used once and abandoned.' Feed structured evidence from use-cases — user friction, missing capabilities, recurring patterns — back to the Product Manager to inform the product roadmap. Identify patterns across use-cases that point to reusable comp
Koho hledáme
- 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 understand
