Quantum World Technologies Inc.
Product Manager

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Title – AI Product Manager
Location – London, UK (Hybrid : 2-3 days a week)
Mode – Contractor or FTE - Open for both
Domain – Retail & eCommerce
Availability – Immediate to 1 month
Job Description
: We are seeking an AI Product Manager with 5+ years of experience to lead a critical, fast-paced discovery phase aimed at defining the strategic AI roadmap for our Customer Support and Contact Centre capabilities. In this role, you will bring strong product thinking to bridge the gap between technical feasibility and business value, collaborating closely with architecture and data teams to translate opportunities into a prioritized, delivery-ready roadmap that supports upcoming investment decisions.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Skills & Qualifications
: Generative AI & Tech Fluency: Strong awareness and practical understanding of GenAI, NLP, and machine learning capabilities, with the ability to identify how and where to apply these technologies to solve real-world customer support challenges
: Complex Discovery & Roadmap Prioritization: Proven track record of leading structured discovery phases, managing ambiguity, and prioritizing high-value use cases using robust product frameworks


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: Data & Integration Savvy: Ability to collaborate closely with technical teams to capture data requirements and design integration workflows between enterprise data platforms and front-end support tools
: Stakeholder Influence: Exceptional communication skills to align cross-functional teams (product, data, architecture) and present compelling, data-backed business cases to leadership
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