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Product Owner – AI & Intelligence

United Kingdom
Posted 1 day ago
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Product Owner – AI & Intelligence

Reporting To: SVP Product

The Opportunity: Shape the Future of Intelligent Commerce

Epos Now is at an exciting inflection point. We are embedding deep intelligence directly into our platform, empowering merchants to take control with richer insights, smarter support, and automated tools that directly drive their business growth.

As the Product Owner – AI & Intelligence, you will be the driving force behind our AI services. Sitting at the vital intersection of Product Strategy, Data, and Engineering, you’ll turn ambiguous, cutting-edge opportunities ("Can AI do this?") into shipped, high-impact products that merchants trust every single day.

What You’ll Be Doing (The Mission)

  • Drive the AI Vision & Roadmap: Partner with the SVP and executive team to define, prioritize, and sequence AI initiatives, ranging from copilot-style assistants to background automation. You'll balance merchant value, technical feasibility, and cost-to-serve.
  • Ship Probabilistic Products: Translate fuzzy problems into sharp PRDs tailored for AI system dynamics, defining accuracy thresholds, hallucination tolerances, latency budgets, and fallback behaviors.
  • Pioneer Discovery & Validation: Run fast validation loops with design and research. Build prototypes to earn executive buy-in, but know when to kill ideas if a deterministic solution is cheaper or more reliable.
  • Champion the Merchant Voice: Meet with customers regularly, establish feedback forums, and build an exclusive customer "Intelligence Group" to iterate directly with our most vocal merchants.
  • Own Quality & Responsible AI: Build evaluation frameworks, golden datasets, and regression testing alongside data and engineering teams. Ensure full adherence to privacy, data protection, and transparency standards (GDPR/UK GDPR).
  • Be the AI Thought Leader: Monitor market trends, competitor moves, and cost-efficiency techniques across the POS and fintech landscape, translating insights into actionable business cases.

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.

Start with a chat, not a search bar

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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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Strong

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.

Who You Are

Must-Haves

  • Product Experience: 3+ years as a Product Owner / Product Manager on a B2B SaaS platform, with a track record of shipped outcomes.
  • AI/ML Production Experience: Hands-on experience delivering at least one AI/ML-powered feature into production (e.g., LLM-based tools, recommendation engines, or forecasting models).
  • AI Fluency: Comfortable navigating concepts like prompting, RAG, fine-tuning vs. off-the-shelf models, LLM evals, and latency/cost trade-offs to hold credible conversations with engineering.
  • Spec Discipline: Proven skill in defining acceptance criteria and success metrics specifically suited for non-deterministic, probabilistic AI behaviors.
  • Data-Literate: Able to self-serve in SQL or analytics tools to answer your own product questions.
  • Communication: Exceptional ability to explain complex AI trade-offs to executives and non-technical stakeholders without hiding behind jargon.

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Nice-to-Haves

  • Experience in payments, POS, commerce, or platforms serving SMBs.
  • Familiarity with agentic workflows, tool-use architectures, and conversational UX.
  • Hands-on experience with LLMOps tools, model evaluation frameworks, or AI governance.
  • Experience scaling products across international markets.

Why Join Epos Now?

We welcome applicants from all backgrounds. If you don't tick every single box, but you've shipped AI products that real customers actually use and love, we want to hear from you!

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Product Management
AI Strategy
Machine Learning
Product Roadmap
PRD Development
SQL
Data Analytics
LLM
RAG
Prompt Engineering
Model Evaluation
B2B SaaS
Stakeholder Management
GDPR Compliance
Product Discovery
Prototyping

Location

United Kingdom

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