Senior Product Engineer

Skills

About the Role

You will own the full journey of new products and features, from spotting problems worth solving through to launch and iteration. You'll define what to build, why it matters, and how success will be measured, then see it through to completion. You'll work directly with users, support teams, and data to uncover real problems rather than assumed ones. You'll run experiments, define metrics, and be willing to shut down what isn't working. You'll collaborate closely with engineering, understanding architectural trade-offs, reviewing technical approaches, and helping unblock decisions. You'll prototype and validate ideas quickly using AI tools like Claude, Cursor, Copilot, and agents, along with scripts or no-code solutions. You'll identify where AI and LLMs can create real product value and build the case for investing in them. You'll write clear, technical, and opinionated product specs and briefs that engineers actually want to read. You'll stay hands-on, writing queries, digging into data pipelines, spinning up prototypes, and opening pull requests when it makes sense.

Requirements

• Degree in Computer Science, Software Engineering, or a related technical field
• 5+ years in product management, product engineering, or a similar role with strong technical involvement
• Know at least one programming language well enough to build things yourself (Python or similar)
• Comfortable with git, databases, and evaluating system architecture
• Proven track record of taking ideas from 0 to live product with real users
• AI-native way of working using LLMs, vibe coding, and AI agents daily
• Strong analytical skills comfortable with data, metrics, and decisions under uncertainty
• Clear communicator in English able to explain technical decisions and write specs
• Self-directed

Responsibilities

• Own 0-to-1 development of new products and features from problem discovery to launch to iteration
• Define what to build why and how to measure success then see it through
• Work directly with users support and data to understand real problems
• Run experiments define metrics and shut down what doesn't work
• Collaborate deeply with engineering and review technical approaches
• Prototype and validate ideas fast using AI tools scripts or no-code
• Identify where AI and LLMs can create real product value and build the case for it
• Write product specs and briefs that engineers want to read
• Write queries dig into data pipelines spin up prototypes and open PRs when it makes sense

Benefits

• Hybrid model in Limassol and Berlin offices, or fully remote outside office locations
• Relocation support to Cyprus (visa, package) when needed
• Learning & development budget
• Fully paid vacation and sick leave
• Sports compensation