Full-stack Product-Oriented AI Builder (AI Product Manager)

Vallettasoftware - custom mobile/web software developer in the US and Europe. Our teams implement IT projects of varying complexity, including website and mobile app development, enterprise systems, and solutions based on artificial intelligence and machine learning (AI/ML).

Our company has earned a place among Clutch's Fall 2025 Champions. These awards confirm that we are a Top 15 AI Agent Developing companies!

We are a distributed team - you can work from any place in the world, except RF and RB, ensuring silence, good internet connection, availability and proper environment.

We are looking for a AI Product Manager or Product-Oriented AI Builder, with:

• Strong backend / system engineering background
• Experience building APIs, services, integrations, and async workflows
• SQL + NoSQL, Git, Docker, CI/CD
• Full-stack experience (backend + frontend)
• Understanding of UI/UX for AI products (chat, copilots, dashboards)

The main feature of this role: you must be able to implement tasks hands-on using AI tools. You will work within a team, but you are expected to autonomously handle the entire feature development lifecycle.

Product & Delivery (No unnecessary bureaucracy)

Requirements gathering & validation: Communicating with stakeholders, understanding business needs, and translating them into product solutions.

Autonomy within a team: Ability to independently build a prototype and take it all the way to production, acting as a fully functional unit within a larger team.

Understanding of product metrics (conversion, retention) and focus on business outcomes, not on perfect processes for the sake of process.

AI-First Development (Strictly required)

Hands-on experience building real projects / MVPs using Cursor, Claude Code.

Ability to effectively prompt AI (prompt engineering, using predefined skills) and maintain context for complex tasks.

Ability to take generated code to a working state using AI assistants — not just copying random snippets from a chat.

Technical Foundation (System Thinking)

Exposure and experience working with engineering teams (5–10 years), sufficient to understand the fundamental principles of the software development lifecycle.

Clear systemic understanding of how modern web applications work: the difference between frontend and backend, how APIs, databases, and client-server architecture function.

No requirement to write or read code manually — the key is understanding how system components interact with each other at a high level.

Engineering Foundation

Must-have:

• Strong engineering background in backend / system development
• Backend stack is not critical
• Ability to build APIs, services, integrations, and async workflows
• SQL + NoSQL
• Git, Docker, CI/CD

Nice-to-have:

• Full-stack development experience (backend + frontend)
• Understanding of UI/UX aspects of AI products (chat, copilots, dashboards)

Communication & Culture

English: C1 (required). Confident communication with clients and presentation of completed solutions.

Hands-on approach: willingness to dive deep into product implementation details.

Ability to work in uncertainty and quickly test hypotheses.

Key Selection Criteria

The candidate must have real experience building MVPs or working features using AI tools (not just ChatGPT for text, but end-to-end generation of working applications).