AI Operations Specialist

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.

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.

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.

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.