Product Engineer You understand architecture, you've written code, you know how databases work, and you speak engineering fluently. AI is not a feature we're adding, it's how we work and how we build. Think 70% product, 30% engineer, 100% accountable for results. Own 0-to-1 development of Customer Care conversational systems (chat, voice/phone, knowledge base, tool integrations): decide what to build, why, and how to measure success, from discovery to launch to iteration. Design with engineers how the bot is built: agents, routing, tools, internal-system actions, handoff; Work independently: research the problem in the data yourself, prototype a fix with AI tools, test it on real conversations, and prove it works, then scale it with engineering or open the PR yourself. Write, test, and iterate prompts, skills, and knowledge so the bot answers correctly, acts safely, and sounds like us; Run A/B tests of models, prompts and flows, define success metrics upfront, and shut down what doesn't work. define "resolved" and "valid handoff" and monitor KPIs (deflection, handoff reasons, resolution quality, CSAT, handling time, cost per conversation). Write product specs and briefs engineers actually want to read: clear, technical, and opinionated. Challenge the rules around the bot, not just the bot: when escalation policies, back-office processes or missing tools block resolution, build the case and get them changed. 4+ years in product management, product engineering, or a similar role with strong technical involvement, including meaningful hands?AI-native way of working: you use LLMs, vibe coding, and AI agents daily to move faster and validate ideas. This isn't optional, it's core to how we expect you to operate.



You know at least one programming language well enough to build things yourself (Python or similar), and you're comfortable with git, databases, and evaluating system architecture. Strong analytical

skills:
comfortable with data, metrics, and decisions under uncertainty. Clear communicator in English: you explain technical decisions to non-technical stakeholders and write specs engineers respect. Degree in Computer Science, Software Engineering, or equivalent practical experience. Background in customer support, conversation design, product, or prompt engineering. Side projects with LLM APIs, agents, or automation. Fintech or banking support: cards, transfers, chargebacks, KYC/AML restrictions, account closure. Experience with LLM observability tools (Langfuse or similar) and helpdesk platforms (Kustomer, Zendesk). We have a hybrid model in our offices, or fully remote outside office locations. We support relocation to Cyprus (visa, package) when needed. AI-first culture – we use it every day, not just talk about it. Learning & development budget to support your professional growth. Real growth prospects, significant responsibility, and the ability to make an immediate impact from day one. And for individuals,

we offer
a simple way to manage and grow your wealth: access to general stocks, ETFs and 150+ cryptocurrencies, cashback, and personalised financial insights. Everyone deserves the chance to see their finances flourish, and we're dedicated to empowering our customers to make this a reality. We're building Vivid as an AI-native organization — across every function, from product to compliance to operations. Automation handles a growing share of day-to-day execution. For us, this means our teams can focus on architecture, strategy, and high-impact decision-making.

📌 Constructeur/ Engineer (Valladolid)
🏢 Vivid Money
📍 Valladolid