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.
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.

We have a strong preference for candidates who can point to things they’ve built (prototypes, side projects, or shipped features) and explain how they navigated ambiguity to reach a useful outcome. To stand out, include examples of these in your application.

Technical AI Product Manager

Key skills