About This Opportunity
We're working with a leading foundational AI lab to find experienced heads of pricing who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're looking for heads of pricing with 5+ years in pricing strategy, revenue economics, or monetization analysis to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: price elasticity models and willingness-to-pay analyses, packaging and tiering recommendation decks, discount governance and deal desk guardrail spreadsheets, competitive price benchmarking summaries, revenue waterfall models and margin impact analyses, and pricing experiment readouts for executive stakeholders.
Compensation: $90/hour
Commitment: Flexible, 5-20 hours per week (or more if desired)
Location: Fully remote, work on your own schedule
Start date: ASAP
Qualifications
- 5+ years in pricing strategy, revenue economics, or monetization analysis, with direct ownership of price elasticity models and packaging and tiering recommendations
- Advanced fluency in willingness-to-pay analysis, discount governance, and building revenue waterfall models in Excel or Google Sheets
- 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
- 5+ years in pricing strategy, revenue economics, or monetization analysis, with direct ownership of price elasticity models and packaging and tiering recommendations
- Advanced fluency in willingness-to-pay analysis, discount governance, and building revenue waterfall models in Excel or Google Sheets
- Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail
