Responsibilities

• Day-to-day marketing operations across around ten restaurant brands: scheduling pipelines, content runway health, getting work delivered
• Client-facing AI automations, DM and comment flows, per-client AI agents, localised per brand, click-tested, kept true to each client's own source of truth
• The marketing infrastructure itself: Meta Business access, scheduling integrations, the connections between systems, troubleshot with logs and isolation rather than guesses
• Complex ad-hoc client work: landing pages, booking-flow fixes, outreach campaigns, data pulls, finished to a standard that goes straight to the client
• Working with AI properly: you are the editor, and everything an AI produces gets verified against reality before it moves anywhere

Requirements

• A software-engineering-adjacent background plus real marketing operations experience. You have administered a martech stack, written automations you then had to keep alive, and been the last pair of eyes before a paying customer saw the result.
• Verification is a reflex, not a process. You report things done once you have watched them work.
• You use AI as a power tool and stay the editor. You know what it should not be allowed to touch.
• Fast with everyday software: screen recordings, DNS basics, browser automation, APIs.
• You compress. A 60-second voice note over a 30-minute recording. Five lines over five paragraphs.
• You look before you ask, push back with reasons when you disagree, and act on direct feedback fast.