CoinMarketCap is building AI products to help users discover, understand, and act on crypto information more effectively. They are seeking a Technical AI Product Manager to join their AI team, focusing on building and iterating AI features based on user feedback and prototyping in Python.
Responsibilities:
- 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
Requirements:
- 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
- Shipped user-facing AI features (chat, agents, copilots, summarization, search/Q&A, personalization)
- 0 to 1 experience in fast-moving environments and owning ambiguous problems end-to-end
- Experience building tool-using and agent-like workflows
- Experience and interest in cryptocurrency