Product Owner - AI & Intelligence

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.

Who You Are

* 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.

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!