AI Operations Specialist

About the role

This individual contributor role within the Product organization at CoinMarketCap focuses on supporting the AI team as it builds products to help users understand crypto information. Key responsibilities include evaluating AI feature outputs, identifying regressions, and creating clear reports based on these findings. The specialist will also contribute to building 'golden sets' for AI models.

A significant part of the role involves developing lightweight tools and automations using AI coding tools. This includes creating scripts, internal helper applications, and rapid prototypes to meet the team's immediate needs. The specialist will also be responsible for implementing changes to prompts and workflows, testing different variations, and deploying new iterations.

Beyond technical tasks, the role requires engaging in external outreach and managing relationships with key opinion leaders (KOLs) from start to finish. The specialist will also collaborate with internal stakeholders, such as marketing and other product teams, to ensure the AI team's objectives are met. Flexibility to address the team's most critical needs each week, even if outside defined duties, is also expected.

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

Skills that matter here

• Bias for action: This role requires identifying necessary tasks, prioritizing them, and acting without needing direct instructions.
• Willingness to do the unglamorous work: The specialist must be prepared to handle any task that advances the team's goals, regardless of its nature.
• High-agency execution: The ability to transform vague problems into working solutions with minimal oversight, embracing both routine tasks and uncertainty, is essential.
• Deep working knowledge of AI tools: Proficiency in using LLM-based tools for writing, automation, prototyping, and operations is crucial to significantly enhance individual productivity.
• Startup or fast-moving operating experience: One to three years of experience in generalist or operations roles where the candidate was responsible for end-to-end outcomes, not just executing tickets, is sought.
• Excellent communication skills (verbal and written): The role demands the ability to clearly and simply convey complex information.

Who this role suits

• You are a self-starter who identifies problems and proactively works towards solutions.
• You are comfortable with ambiguity and can drive projects from concept to completion with little supervision.
• You thrive in fast-paced environments and are willing to take on diverse tasks to support team objectives.
• You have a practical, hands-on approach to using AI tools to enhance productivity and problem-solving.

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.