AI Operations Specialist

About the role

This role involves supporting CoinMarketCap's AI team in developing products that help users interact with crypto information. The specialist will conduct evaluations of AI features, which includes scoring outputs, identifying regressions, and creating data sets for analysis. This work requires translating evaluation results into clear documentation that guides the team's next steps.

A key part of the job is building lightweight tools and automations using AI coding tools. This means developing scripts, internal helpers, and rapid prototypes to meet immediate team needs. The specialist will also be responsible for iterating on AI prompts and workflows, implementing changes, testing variations, and deploying new versions.

Beyond technical tasks, the role includes external outreach and stakeholder collaboration. This involves engaging with key opinion leaders and partnering with internal teams like marketing and other product groups to ensure the AI team's objectives are met. The specialist should be ready to address any high-priority needs that arise, even if they fall outside the usual scope.

The salary for this position ranges from $52,000 to $88,000 USD annually.

Skills that matter here

• Bias for action: This role requires identifying necessary tasks, prioritizing them, and initiating action without direct instruction.
• Willingness to do the unglamorous work: The specialist must be prepared to handle any task that contributes to team progress, regardless of its nature.
• High-agency execution: This involves taking an ambiguous problem and developing a functional solution with minimal oversight, embracing both routine tasks and uncertainty.
• Deep working knowledge of AI tools: The role demands proficiency in LLM-based tools for writing, automation, prototyping, and general operations to significantly enhance individual productivity.
• Startup or fast-moving operating experience: The ideal candidate has 1 to 3 years of experience in a generalist or operations role where they were accountable for entire outcomes, not just executing specific tasks.
• Excellent communication skills (verbal and written): The specialist needs to convey complex information clearly and concisely to various audiences.

Who this role suits

• You are a self-starter who identifies problems and proactively works towards solutions.
• You are comfortable with ambiguity and can transform vague requirements into concrete results.
• You thrive in dynamic environments and are willing to take on any task that benefits the team.
• You have a strong practical understanding of AI tools and leverage them to maximize your output.

From the employer

What you'll do

• 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.

What we're looking for

• 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.