Operations Coordinator (Intern)

About the roleNearly Perfect Rooms is a hospitality startup launching June 1, 2026. We show travelers exactly what they are getting, including imperfections. We price accordingly. We match them to the right room.This role is for someone who wants to be on  the ground floor  while that happens. You execute the daily logistics that keep the team moving and use AI-native tooling (Claude Code, Viktor, agentic workflows) to do the work that would otherwise take three people.We are hiring a paid intern who already operates this way, or is close enough that we can finish the calibration in week one.How we work, and what we expect on AINearly Perfect Rooms runs AI-natively, top to bottom.The marketing team operates with a shared AI coworker (Viktor) connected to Slack, project management, and the document layer. It is the team's memory.The team ships work through Claude Code with custom skills and Python automations.Hotel partner outreach, drop campaign logistics, content calendars, and pitch deck updates all live inside AI-assisted workflows. We do not maintain spreadsheets manually when an agent can.You are not joining to make spreadsheets prettier. You are joining to learn how to operate a startup at AI-native pace, with tooling most companies have not figured out yet.AI is not a tool we use. It is how the work gets done.What you will ownHotel partner operationsCoordinate LiDAR room scanning scheduling and logistics with hotel partnersMaintain the hotel partner database and pipeline tracker (Notion, Sheets, or Airtable; your call to recommend after week one)Support onboarding of new hotel partners: checklists, communications, follow-upsBuild AI-assisted templates for outreach and follow-up sequences using Claude Code or ViktorMarketing operationsUpdate and maintain pitch decks, one-pagers, and presentation materials (working alongside the CMO and the Junior Marketing Analyst)Support drop campaign logistics: insider list management, scheduling, QACoordinate content production schedules between the in-house team and the content production houseData and adminQA the spreadsheet and report outputs the agentic workflows produce — catch the weird ones, structure the new onesPull and format ad-hoc data when the AI workflow does not exist yet, then turn it into a workflowCalendar management and meeting coordination for the GTM teamDocument organization, file naming discipline, version control hygiene across Drive and NotionGeneral executionCatch the things that fall through the cracksBuild the checklist the second time the same step gets missedUse AI tools to compress the work, not to skip the thinkingWhat we expect from you on AIYou build, you do not just prompt. If you have not written code before but have been pairing with Claude Code, Cursor, or Replit to ship real automations, that counts.You have used Claude Code, Viktor, Cursor, or a comparable agentic tool as part of how you work. Not for Q&A. For shipping something.You stay curious about how AI is changing operations work. You have opinions on what it is good at and what it is not.You write with discipline. Clean emails. Exact numbers. Flagged uncertainties. No "approximately" when you mean 32.4%.What we are looking forRequiredDemonstrated interest in AI-native tooling. You have actually opened Claude Code, Viktor, Cursor, Replit, or a comparable agentic tool and made it do something real. A small project, an automation, a side experiment, a portfolio piece. The bar is "you have shipped something with AI" not "you have used ChatGPT to draft an email."Spreadsheet literacy. Basic formulas, pivot tables, clean formatting habits. You are not building reports from scratch every week - you are QA'ing agent output, structuring new data, and catching the weird ones. You can find a typo in a 200-row spreadsheet.Comfortable in the terminal at a basic level, or willing to learn fast. You can follow setup instructions, run a script someone else wrote, and not be afraid of a command line.Clear written communicator. You can write a professional email without a template. Tone matches audience.Strong organizational instincts. You notice the gap between "we said we would do this" and "we did it." You build the checklist before the founder asks.20 to 30 hours / week with reliable EST overlap.Nice to haveCollege student (junior or senior) or recent graduateBackground or coursework in hospitality, marketing, operations, computer science, or anything that mixes execution discipline with curiosity about toolingProject management tool fluency (Notion, ClickUp, Asana, Linear)Familiarity with Slack, Loom, Figma, CanvaNYC area preferred for occasional in-person work, but not requiredWhat we are not looking forSomeone whose only AI experience is asking ChatGPT to write papers. That is table stakes, not the bar.A coordinator who needs every task explained twice.Someone looking for a resume line item without the work behind it.A "set me up with a process and I will follow it" operator. We do not have all the processes yet. You help build them.What you will getFront-row seat at a category-defining hospitality startup at launch stageDirect working relationship with the CMO, Operations Lead, and Junior Marketing AnalystReal exposure to GTM strategy, hotel partnership operations, content production, and AI-native workflowsA role designed to convert to full-time if the fit is there and the company continues to scalePortfolio-worthy work product: real brand, real campaigns, real outputs you can showDirect mentorship on how to operate inside Claude Code, Viktor, and the broader AI-native marketing stack. This skill set is becoming the differentiator for junior marketers across the industry.Compensation and LogisticsThis is a paid internship (W2) at $18-$22 per hour 20-30 hours per week, with flexible weekly distributionRemote, but NYC area preferred for occasional in-person workStart is ASAP, with a two-week paid working trial on one workstream before full scopeHow to applySend to recruiting@perfect.careers:One paragraph on why this role, not just any internship. Why NPR, why now.Resume or LinkedIn.One thing you have shipped with AI tooling. A Loom of a Claude Code session, a screenshot of a Viktor workflow, a Python script you have written (even a small one), a Notion or Sheets automation, a Replit project, a Cursor commit history. We want proof, not a description.One organizational system you have built for yourself. A weekly planning template, a project tracker, a learning system. Something that demonstrates how you stay on top of things.One question you would ask us if hired.Applications without a working sample (item 3) will be deprioritized. We are not looking for someone who has dabbled. We are looking for someone who has made AI part of how they actually work.