AI Product Engineer — End-to-End Ownership (Hybrid)

zvoove; United States; Hybrid; USD 140,000 - 210,000; Full time

Job summary

zvoove is seeking a forward deployed engineer to join an AI Product Builder, embedding with customers to shape requirements and implement them—directly or via coding agents. You will own the technical outcome of a major feature area across product, engineering, and AI delivery.

Responsibilities include turning intent into specs for agents, coordinating delivery, and balancing AI-driven work with deterministic system behavior.

Qualifications

• Strong interest and hands-on experience with AI tools such as Claude, Cursor, and MCP, different LLM models, and prompting techniques.
• Proficiency in TypeScript or another production language such as Python, Java, or C#.
• Proven ownership of a feature area or product slice, having decided implementation and architecture from the problem rather than from a ticket.
• Fluency directing AI coding agents: writing specs and acceptance criteria, supervising execution, and rejecting output that is not production-ready.
• Enough product and customer judgement to challenge specs, a personal standard for code quality including on AI‑generated code, and comfort working with product, engineering, and governance counterparts without waiting for a perfect brief.
• Fluent German at C1 level and English at B2 level.

Responsibilities

• Own a product or major feature area end to end: discovery, implementation, quality, and delivery.
• Turn intent into precise specifications that coding agents can execute, then orchestrate and review their output.
• Decide where AI judgement is acceptable and where the system must stay deterministic, judging work on outcomes and tests rather than cleverness.
• Co-design solutions with the AI Product Builder as a near-peer, pushing back on specs that are clear but wrong.
• Identify and assess AI use cases on value, feasibility, and risk, and design evaluation for AI-delivered work covering test cases, inconsistency, hallucination, and bias.
• Raise responsible‑AI, privacy, and regulatory concerns early, and work with engineering on integration constraints so shipped work fits the systems it has to live in.

Skills

AI tooling

TypeScript

Python/Java/C#

Product ownership

Specification writing

German (C1)

English (B2)

Education

Degree in computer science

Tools

Claude

Cursor

MCP

Job description

zvoove is seeking a forward deployed engineer to join an AI Product Builder, embedding with customers to shape requirements and implement them—directly or via coding agents. You will own the technical outcome of a major feature area across product, engineering, and AI delivery.

Responsibilities include turning intent into specs for agents, coordinating delivery, and balancing AI-driven work with deterministic system behavior.