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Jobs(31,365)/AI Engineer Role(768)/Coin Market Cap Ltd (6) - AI Operations Specialist
Coin Market Cap Ltd

Coin Market Cap Ltd - AI Operations Specialist

Global / Dubai / Hong Kong / Kuala Lumpur / Singapore / Taipei / Penang2mo ago
In OfficeJuniorEMEACryptocurrencyArtificial IntelligenceAI EngineerCommodities BrokerOperations InternProduct MarketingOutreach

Requirements

• Bias for action: you spot what needs doing, prioritize what matters, and act without waiting to be told. • Willingness to do the unglamorous work: no task is beneath you if it moves the team forward, and you take pride in getting it done well. • High-agency execution: you can go from "vague problem" to "working solution" with minimal supervision, and you're comfortable with grunt work and ambiguity. • Deep working knowledge of AI tools: you use LLM-based tools to write, automate, prototype, and operate at a level that meaningfully expands what one person can do in a week. • Startup or fast-moving operating experience: 1 to 3 years of generalist or operations work where you've owned outcomes end to end, not just executed tickets. • Excellent communication skills (verbal and written): convey complex messages clearly and simply. • Familiarity with software development and product management. • 0 to 1 experience in fast-moving environments. • Hands-on experience with prompt engineering, evaluations, or other AI-adjacent operational work. • Experience and interest in cryptocurrency. • We have a strong preference for candidates who can point to outcomes they've owned and the obstacles they worked around to deliver them. Include these in your application to stand out.

Responsibilities

• Includes but not limited to: • Run evaluations on AI features: scoring outputs with AI assistance, flagging regressions, building golden sets, and turning results into clear writeups the team can act on. • Build lightweight tools and automations using AI coding tools: scripts, internal helpers, and one-off prototypes the team needs quickly. • Execute on prompt and workflow iteration: implementing changes, testing variations, and shipping the next round. • Run external outreach and relationship management end to end: reaching out to KOLs, running the calls, and following through. • Work with internal stakeholders to drive AI team outcomes: partnering with teams like marketing and other product teams. • Step in on whatever else is the AI team's highest-leverage need that week, even if it falls outside the list above.

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