Product Manager

Valletta.Software is a custom mobile and web software development company operating in the US and Europe. The organization implements IT projects of varying complexity, including website and mobile app development, enterprise systems, and solutions based on artificial intelligence and machine learning.

• Lead customer discovery sessions and translate business goals into clear product and technical requirements;
• Define MVP scope, validate hypotheses, and prioritize work based on business impact;
• Own the product lifecycle from discovery through production and continuous iteration;
• Work closely with customers and stakeholders throughout delivery;
• Drive product decisions using measurable outcomes, including conversion, retention, and customer value;
• Build MVPs and production-ready features using AI-assisted development tools;
• Prototype and validate solutions rapidly before full implementation;
• Design and improve AI-powered workflows and user experiences;
• Review, debug, and refactor AI-generated code;
• Validate business logic, architecture, and implementation quality before production;
• Ensure AI-generated solutions meet production standards for reliability, scalability, and maintainability;
• Make informed architectural decisions together with engineering teams;
• Review technical designs and AI-generated implementations;
• Identify architectural issues, scalability risks, and implementation gaps before release;
• Coordinate engineering, QA, design, and product teams to deliver high-quality software;
• Support delivery from technical validation through deployment.

• 5+ Years of experience in Product Management, Technical Product Ownership, Delivery Leadership, Software Engineering, or a combination;
• Proven experience delivering complex digital products into production;
• Hands-on experience building AI-powered features using tools such as Claude Code, Cursor, GitHub Copilot, or similar;
• Strong understanding of modern AI application development with practical production experience;
• Ability to independently prototype, validate, and iterate on AI-powered solutions;
• Solid understanding of software architecture, APIs, databases, cloud systems, and modern development practices;
• Ability to confidently review, understand, and challenge AI-generated code;
• Strong engineering fundamentals and technical depth to discuss architecture and implementation trade-offs;
• Excellent communication skills and confidence working directly with customers;
• English B2 or C1 (written and spoken);
• Nice to have: Previous experience as a Senior Engineer or Tech Lead, experience building AI products using LLMs, agents, RAG, or similar technologies, startup or consulting background, experience building or scaling delivery teams, familiarity with SQL, Firebase, Amplitude, or similar analytics platforms.

• Remote-first culture with flexible working hours;
• Opportunity to own the entire product lifecycle;
• Work in an AI-first environment;
• Collaboration with a highly technical team.