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Coin Market Cap: Technical AI Product Manager
예상 기간
장기 (정규직)
난이도
어려움
기술 스택
Python
LLM
Prompt Engineering
AI Agents
RAG
AI 분석 요약 기회점수 68/100
CoinMarketCap의 AI 팀에서 암호화폐 사용자를 위한 AI 제품을 프로토타이핑하고 개선하는 Technical AI Product Manager 역할입니다. Python으로 AI 경험을 프로토타이핑하고, 프롬프트·컨텍스트 엔지니어링, 평가 루프 구축, 엔지니어링팀과의 프로덕션화 협업을 담당합니다. LLM 기반 제품을 빠르게 만들고 검증할 수 있는, 제품 감각과 Python 실전 능력을 갖춘 개발자에게 적합합니다.
핵심 요구사항
- Python으로 빠르게 AI 프로토타입을 구현하는 실전 능력
- LLM 프롬프트 반복·컨텍스트 설계·도구 호출 패턴에 대한 실무 경험과 직관
- 골든셋·시나리오 커버리지 등 평가 루프 및 품질 정의 능력
- 모호한 문제를 명확한 MVP로 전환하는 강한 제품 판단력
- 높은 자율성과 뛰어난 커뮤니케이션 능력
산출물
- 검증된 AI 기능 프로토타입 (Python)
- 프롬프트·컨텍스트 엔지니어링 설계 및 가드레일
- 평가 루프 및 수용 기준(acceptance criteria)
- 엔지니어링 핸드오프 스펙 및 엣지케이스 문서
매력 포인트
- 글로벌 인지도 높은 CoinMarketCap 소속 AI 팀
- 완전 원격 근무
- 0→1 AI 제품을 주도할 수 있는 높은 자율성
주의사항
- 예산·급여 정보 미공개
- 채용 공고형 포지션으로 외주/프리랜서 프로젝트와 성격이 다름
프로젝트 유형장기계약
적합 개발자LLM 제품 프로토타이핑 경험이 있는 Python 능숙 AI Product Manager / 엔지니어
프로젝트 원문 설명
Headquarters: Global / Dubai / Hong Kong / Singapore
About the role
CoinMarketCap is building AI products to help users discover, understand, and act on crypto information more effectively. We’re hiring a Technical AI Product Manager to join our AI team. This is an individual contributor role in the Product org. You’ll spend most of your time building and iterating: identifying user pain points, prototyping in Python, prompt engineering, context engineering, and improving AI features we’ve already shipped based on real usage and feedback.Once an MVP is validated, you’ll partner with Engineering to productionize and scale it. You are not responsible for long-term platform scalability or owning the full engineering surface area. You are responsible for producing strong prototypes and handing Engineering a clear, validated direction.
What you’ll do
Includes but not limited to:
1. Identify the biggest user pain points where a crypto AI can materially improve outcomes.
2. Turn ambiguous ideas into a clear MVP, with crisp scope, constraints, and success metrics.
3. Prototype full AI experiences in Python to validate value and quality before we ship to production.
4. Own prompts and context engineering: instruction design, context shaping, guardrails, tool/function calling patterns, and output formatting.
5. Build practical evaluation loops: golden sets, scenario coverage, qualitative rubrics, regressions, and acceptance criteria.
6. Design the AI user experience: make it clear, trustworthy, and resilient if things go wrong.
7. Run fast experiments, learn from real outputs and usage data, and iterate quickly.
8. Partner with Engineering to ship: provide handoff specs, edge cases, evaluation results, and support debugging and iteration post-launch.
9. Work on whatever surface is the highest leverage.
What we’re looking for
1.Strong product judgment and the ability to make good calls under ambiguity.
2. Hands-on Python prototyping ability: you move fast, write clean code, and can translate ideas into working prototypes.
3. Practical LLM experience + intuition: you understand prompt iteration, context design, and have a strong intuition for how to build useful products on top of LLMsA strong evaluation mindset: you can define quality, test for failure modes, and prevent regressions without heavy process.
4. High-agency execution: you can go from “vague problem” → “shipped learning” with minimal supervision.
5. Excellent communication skills (verbal and written): convey complex messages clearly and simply, and driving conviction across stakeholders.
Nice to have
1.Shipped user-facing AI features (chat, agents, copilots, summarization, search/Q&A, personalization).
2. 0 to 1 experience in fast-moving environments and owning ambiguous problems end-to-end.
3. Experience building tool-using and agent-like workflows.
4. 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.
To apply: https://weworkremotely.com/remote-jobs/coin-market-cap-technical-ai-product-manager
About the role
CoinMarketCap is building AI products to help users discover, understand, and act on crypto information more effectively. We’re hiring a Technical AI Product Manager to join our AI team. This is an individual contributor role in the Product org. You’ll spend most of your time building and iterating: identifying user pain points, prototyping in Python, prompt engineering, context engineering, and improving AI features we’ve already shipped based on real usage and feedback.Once an MVP is validated, you’ll partner with Engineering to productionize and scale it. You are not responsible for long-term platform scalability or owning the full engineering surface area. You are responsible for producing strong prototypes and handing Engineering a clear, validated direction.
What you’ll do
Includes but not limited to:
1. Identify the biggest user pain points where a crypto AI can materially improve outcomes.
2. Turn ambiguous ideas into a clear MVP, with crisp scope, constraints, and success metrics.
3. Prototype full AI experiences in Python to validate value and quality before we ship to production.
4. Own prompts and context engineering: instruction design, context shaping, guardrails, tool/function calling patterns, and output formatting.
5. Build practical evaluation loops: golden sets, scenario coverage, qualitative rubrics, regressions, and acceptance criteria.
6. Design the AI user experience: make it clear, trustworthy, and resilient if things go wrong.
7. Run fast experiments, learn from real outputs and usage data, and iterate quickly.
8. Partner with Engineering to ship: provide handoff specs, edge cases, evaluation results, and support debugging and iteration post-launch.
9. Work on whatever surface is the highest leverage.
What we’re looking for
1.Strong product judgment and the ability to make good calls under ambiguity.
2. Hands-on Python prototyping ability: you move fast, write clean code, and can translate ideas into working prototypes.
3. Practical LLM experience + intuition: you understand prompt iteration, context design, and have a strong intuition for how to build useful products on top of LLMsA strong evaluation mindset: you can define quality, test for failure modes, and prevent regressions without heavy process.
4. High-agency execution: you can go from “vague problem” → “shipped learning” with minimal supervision.
5. Excellent communication skills (verbal and written): convey complex messages clearly and simply, and driving conviction across stakeholders.
Nice to have
1.Shipped user-facing AI features (chat, agents, copilots, summarization, search/Q&A, personalization).
2. 0 to 1 experience in fast-moving environments and owning ambiguous problems end-to-end.
3. Experience building tool-using and agent-like workflows.
4. 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.
To apply: https://weworkremotely.com/remote-jobs/coin-market-cap-technical-ai-product-manager
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