About This Opportunity We're working with a leading foundational AI lab to find experienced operations managers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're looking for operations managers with 4+ years in operations management, capacity planning, or continuous process improvement to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: capacity planning models, standard operating procedure playbooks, workflow process maps, inventory forecasting spreadsheets, process improvement business cases, and operational readiness checklists.
Compensation $70/hour
Commitment Versátil, 5-20 hours per week (or more if desired)
Location Fully remote, work on your own schedule
Start date ASAP
Qualifications Proven track record managing capacity planning models, inventory forecasting spreadsheets, or workflow process maps in a fast-paced operations environment




Experience authoring standard operating procedure playbooks and process improvement business cases that measurably reduced cost or cycle time
Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail
About Ethos Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.
Key Requirements Proven track record managing capacity planning models, inventory forecasting spreadsheets, or workflow process maps in a fast-paced operations environment
Experience authoring standard operating procedure playbooks and process improvement business cases that measurably reduced cost or cycle time
Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail
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📌 Expert Opportunity - Operations Manager (Santiago de Compostela)
🏢 ETHOS
📍 Santiago de Compostela