Remote VP, Pricing & Packaging for AI Workflows

Ethos; United States; Remote; USD 102,000 - 146,000; Part time

Benefits offered by this job

Fully remote

Flexible hours 5-20 per week

Executive-ready pricing insights

Job summary

Ethos is seeking VPs of pricing and packaging to train AI on professional documents, spreadsheets, and slide decks. The role focuses on pricing strategy, revenue economics, and monetization analysis with ownership of elasticity and packaging recommendations.

The position is fully remote, flexible 5–20 hours per week, and pays $90 per hour. Ideal candidates demonstrate advanced willingness-to-pay analytics, discount governance, and the ability to deliver executive-ready pricing insights across

Qualifications

• 5+ years in pricing strategy, revenue economics, or monetization analysis with ownership of price elasticity and packaging recommendations.
• Advanced fluency in willingness-to-pay analysis, discount governance, and revenue waterfall modeling in spreadsheets.
• Expert-level document, spreadsheet, and slide craftsmanship with strong written communication.

Responsibilities

• Create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows.
• Develop and refine price elasticity and willingness-to-pay models to support pricing decisions.
• Produce packaging and tiering recommendations and discount governance guardrails for deals.
• Prepare revenue waterfall analyses and margin impact studies for executive stakeholders.
• Collaborate with cross-functional teams to deliver executive-ready pricing insights.

Skills

Pricing strategy

Revenue economics

Monetization analysis

Willingness-to-pay analysis

Price elasticity models

Packaging & tiering

Document craftsmanship

Spreadsheet craftsmanship

Written communication

Excel/Google Sheets modeling

Tools

Excel

Google Sheets

Job description

Ethos is seeking VPs of pricing and packaging to train AI on professional documents, spreadsheets, and slide decks. The role focuses on pricing strategy, revenue economics, and monetization analysis with ownership of elasticity and packaging recommendations.

The position is fully remote, flexible 5–20 hours per week, and pays $90 per hour. Ideal candidates demonstrate advanced willingness-to-pay analytics, discount governance, and the ability to deliver executive-ready pricing insights across