The Portfolio Group
AI Product Owner

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AI Product Owner | Manchester (Office Based) | £90,000 + Fantastic Benefits | Reporting to: Chief Executive Officer
A genuine once-in-a-career opportunity.
We're looking for an exceptional AI Product Owner to take ownership of the AI product roadmap for a sales-led, essential business services provider at the forefront of digital innovation. The business has an unrivalled track record of year-on-year subscription growth and is part of a highly successful international Group. It is now investing seriously in AI, both in client-facing products and internally to drive efficiency across the business.
This is a rare opportunity for an experienced AI Product Owner or AI Product Manager, or a Senior AI Engineer ready to move into product, to own AI products end to end. You'll set the vision and roadmap and take generative AI features from concept through to production-grade delivery.
What You'll Do
- Own the AI product vision and roadmap, leading the design and launch of market-leading AI features across the web and app-based product portfolio.
- Partner with product managers, content managers, engineers and senior stakeholders to define, prioritise, build and optimise AI, ML, LLM and GenAI solutions.
- Translate business and customer needs into clear requirements, user stories and a prioritised backlog.
- Use AI to broaden reach, engagement and utilisation across the company's services.
- Identify opportunities to drive efficiency through AI across the wider business, and build the business case for each.
- Track the competitive landscape and keep the product ahead of advances in GenAI.
- Define the success metrics for every AI feature and govern performance after launch.
- Analyse usage data and user feedback to drive continuous optimisation, reporting findings to stakeholders.
- Champion AI across the business, educating and supporting engineering teams and wider colleagues.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You'll Bring
- A degree in computer science, AI, machine learning or a related STEM field.
- Proven experience as a Product Owner or Product Manager on AI or ML products, with confident stakeholder management and communication at all levels.
- A track record of taking business-critical ML models or GenAI features into production.
- Hands-on understanding of RAG applications, semantic search and text embeddings.
- Cloud experience, ideally with Azure, AWS or GCP.
- Strong ML and data science fundamentals, including NLP.
- The ability to manage AI, RAG and GenAI risk, and knowledge of fine-tuning models on proprietary datasets.
- Technical credibility with Python and SQL, and familiarity with frameworks such as PyTorch and TensorFlow.


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If you're ready to own AI products from vision to production, at real scale, this is the role for you. You'll join a high-growth organisation where you can make an immediate impact and broaden your skillset, working closely with a highly commercial Board and C-Suite.
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