Technical AI Product Manager
Location
United States + 259 moreAll locations: United States, Afghanistan, Åland Islands, Albania, Algeria, American Samoa, Andorra, Angola, Anguilla, Antarctica, Antigua And Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Belize, Benin, Bermuda, Bhutan, Bolivia, Plurinational State Of, Bosnia And Herzegovina, Botswana, Bouvet Island, Brazil, British Indian Ocean Territory, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cambodia, Cameroon, Canada, Cape Verde, Cayman Islands, Central African Republic, Chad, Chile, China, Christmas Island, Cocos (keeling) Islands, Colombia, Comoros, Congo, Congo, The Democratic Republic Of The, Cook Islands, Costa Rica, Côte D'ivoire, Croatia, Cuba, Cyprus, Czech Republic, Denmark, Djibouti, Dominica, Dominican Republic, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Ethiopia, Falkland Islands (malvinas), Faroe Islands, Fiji, Finland, France, French Guiana, French Polynesia, French Southern Territories, Gabon, Gambia, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Grenada, Guadeloupe, Guam, Guatemala, Guernsey, Guinea, Guinea-bissau, Guyana, Haiti, Heard Island And Mcdonald Islands, Holy See (vatican City State), Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Islamic Republic Of, Iraq, Ireland, Isle Of Man, Israel, Italy, Jamaica, Japan, Jersey, Jordan, Kazakhstan, Kenya, Kiribati, Korea, Democratic People's Republic Of, Korea, Republic Of, Kuwait, Kyrgyzstan, Lao People's Democratic Republic, Latvia, Lebanon, Lesotho, Liberia, Libyan Arab Jamahiriya, Liechtenstein, Lithuania, Luxembourg, Macao, Macedonia, The Former Yugoslav Republic Of, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Martinique, Mauritania, Mauritius, Mayotte, Mexico, Micronesia, Federated States Of, Moldova, Republic Of, Monaco, Mongolia, Montenegro, Montserrat, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Caledonia, New Zealand, Nicaragua, Niger, Nigeria, Niue, Norfolk Island, Northern Mariana Islands, Norway, Oman, Pakistan, Palau, Palestinian Territory, Occupied, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Pitcairn, Poland, Portugal, Puerto Rico, Qatar, Réunion, Romania, Russian Federation, Rwanda, Saint Barthélemy, Saint Helena, Ascension And Tristan Da Cunha, Saint Kitts And Nevis, Saint Lucia, Saint Martin (french Part), Saint Pierre And Miquelon, Saint Vincent And The Grenadines, Samoa, San Marino, Sao Tome And Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Africa, South Georgia And The South Sandwich Islands, Spain, Sri Lanka, Sudan, Suriname, Svalbard And Jan Mayen, Swaziland, Sweden, Switzerland, Syrian Arab Republic, Taiwan, Province Of China, Tajikistan, Tanzania, United Republic Of, Thailand, Timor-leste, Togo, Tokelau, Tonga, Trinidad And Tobago, Tunisia, Turkey, Turkmenistan, Turks And Caicos Islands, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States Minor Outlying Islands, Uruguay, Uzbekistan, Vanuatu, Venezuela, Bolivarian Republic Of, Viet Nam, Virgin Islands, British, Virgin Islands, U.s., Wallis And Futuna, Western Sahara, Yemen, Zambia, Zimbabwe
Posted
54 days ago
Salary
Not specified
Job Description
Role Description
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
- Improving AI features based on real usage and feedback
Once an MVP is validated, you’ll partner with Engineering to productionize and scale it. You are responsible for producing strong prototypes and handing Engineering a clear, validated direction.
Qualifications
- 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 drive conviction across stakeholders
Requirements
- 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
Benefits
- 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
Job 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 drive conviction across stakeholders
- 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
Benefits
- 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
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