Rebuilt - Operations Specialist
Requirements
• 1–3 years in operations, program coordination, sales support, training or a similar fast-paced role (strong internships count). • Heavy, hands-on AI use as part of how you work. You should be able to show examples of: • Creating finished work with AI tools (Claude, ChatGPT or similar): SOPs, training guides, slide decks, dashboards, simple web pages or reports. • Automating a manual process with AI or no-code tools: a workflow, a script, a spreadsheet automation or an AI-driven routine you set up and maintained. • Judging AI output critically and checking it before it goes to anyone else. • Clear, concise writing: you can turn a messy process into steps someone else can follow. • Comfortable teaching: you can run a training session and explain a new tool to a skeptical audience. • Highly organized; you track many moving pieces and close loops without reminders. • Proactive: you drive work forward instead of waiting to be told the next step. • Strong with Google Workspace (Docs, Sheets, Calendar, Slides) and Slack. • Comfortable working asynchronously with remote teams across time zones. • Sound judgment on when to decide and when to escalate. • Exposure to real estate investing, wholesaling or a sales-driven environment. • Experience coordinating onboarding, training cohorts or an LMS. • Experience writing SOPs or maintaining a knowledge base. • HubSpot or another CRM. • Basic technical comfort: Markdown/HTML, GitHub, Google Apps Script, or SQL/Metabase. • Bachelor's degree, or equivalent experience.
Responsibilities
• Own new-hire setup and onboarding: system access, rosters, cohort calendars, communications and knowledge checks. • Write and maintain SOPs and keep our knowledge base current. • Coordinate weekly team meetings and skills practice: agendas, materials, recaps and attendance. • Build and deliver training when new tools or significant system updates launch, and announce process changes to the field. • After launch, gather user feedback and bugs, and close the loop with Product and Engineering on fast follows. • Act as the hands-on user voice in product design sessions, and test new features in the real workflow. • Run recurring reports and routine operational tasks, back up peers during PTO, and turn repetitive work into AI or automation solutions.
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