Technical AI Product Manager

About the role

This role focuses on enhancing the user experience within the crypto space by leveraging AI. The successful candidate will identify key user challenges that AI can address, translating abstract concepts into defined Minimum Viable Products (MVPs) with clear objectives and success metrics. A core part of the work involves prototyping complete AI experiences using Python to validate their value and quality before they are released.

The position requires a deep understanding of prompt engineering, including instruction design, context shaping, and output formatting for AI models. The Technical AI Product Manager will also be responsible for establishing practical evaluation methods, such as creating golden sets and qualitative rubrics, to ensure product quality and prevent regressions. Designing an intuitive and resilient AI user experience is also a key responsibility.

Success in this role means rapidly experimenting with AI features, analyzing real-world outputs and usage data, and quickly iterating on designs. The individual will collaborate closely with engineering teams, providing detailed specifications and evaluation results, and offering support throughout the debugging and post-launch phases to ensure smooth product delivery and continuous improvement.

The salary for this full-time remote role ranges from $92,000 to $149,500 USD.

Skills that matter here

• Python: This role requires hands-on Python prototyping skills to quickly develop and test AI experiences.
• AI: The position involves building and improving AI products to enhance crypto information discovery and understanding for users.
• LLM: Practical experience with Large Language Models is essential for prompt iteration, context design, and developing useful products based on LLMs.

Who this role suits

• Someone who can make sound product decisions even when information is incomplete.
• An individual who is capable of quickly translating abstract ideas into functional prototypes using Python.
• A person with a strong focus on defining and measuring product quality, proactively identifying and addressing potential failure points.
• A self-starter who can independently guide projects from an initial problem statement to a delivered solution.

From the employer

• Identify the biggest user pain points where a crypto AI can materially improve outcomes.
• Turn ambiguous ideas into a clear MVP, with crisp scope, constraints, and success metrics.
• Prototype full AI experiences in Python to validate value and quality before we ship to production.
• Own prompts and context engineering: instruction design, context shaping, guardrails, tool/function calling patterns, and output formatting.
• Build practical evaluation loops: golden sets, scenario coverage, qualitative rubrics, regressions, and acceptance criteria.
• Design the AI user experience: make it clear, trustworthy, and resilient if things go wrong.
• Run fast experiments, learn from real outputs and usage data, and iterate quickly.
• Partner with Engineering to ship: provide handoff specs, edge cases, evaluation results, and support debugging and iteration post-launch.
• Work on whatever surface is the highest leverage.

• Strong product judgment and the ability to make good calls under ambiguity.
• Hands-on Python prototyping ability: you move fast, write clean code, and can translate ideas into working prototypes.
• Practical LLM experience + intuition: you understand prompt iteration, context design, and have a strong intuition for how to build useful products on top of LLMs.
• A strong evaluation mindset: you can define quality, test for failure modes, and prevent regressions without heavy process.
• High-agency execution: you can go from “vague problem” → “shipped learning” with minimal supervision.
• Excellent communication skills (verbal and written): convey complex messages clearly and simply, and driving conviction across stakeholders.