Monetization Strategy Lead, Subscriptions

LinkedIn

San Francisco (CA)

Hybrid

USD 109,000 - 176,000

Full time

47 hours ago
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Job summary

LinkedIn is seeking a Monetization Strategy Manager based in New York or San Francisco, with a hybrid work model. You will accelerate growth for LinkedIn's Online Subscriptions by crafting pricing models, optimizing packaging, and defining monetization strategies across global markets.

You will collaborate with Marketing, Sales, Finance, and Product to drive data-driven decisions and scalable processes. The role emphasizes hypothesis-driven analyses, large-scale studies, and close partnership

Qualifications

  • 4+ years of Pricing, Strategy & Operations, Business Strategy, Finance, Analytics or Go-To-Market experience at a SaaS company or similar analytical role.
  • BA/BS degree in economics, management science, business, applied math, statistics, finance, analytics or related field.

Responsibilities

  • Serve as the monetization strategy trusted advisor for a set of products and services across LinkedIn Consumer Subscriptions.
  • Partner with Product Management, Product Marketing and Strategic Finance to determine go-to-market and monetization strategies for next-gen consumer subscriptions and AI-based features.
  • Evolve pricing and packaging strategy to accelerate growth in emerging markets and high-growth segments.
  • Build analytical models to inform pricing strategy and size opportunities.

Skills

Pricing strategy
Go-to-market strategy
Financial modeling
Pricing research
Cross-functional collaboration
AI-based pricing

Education

BA/BS in economics or related field

Tools

SQL

Job description

LinkedIn is seeking a Monetization Strategy Manager based in New York or San Francisco, with a hybrid work model. You will accelerate growth for LinkedIn's Online Subscriptions by crafting pricing models, optimizing packaging, and defining monetization strategies across global markets.

You will collaborate with Marketing, Sales, Finance, and Product to drive data-driven decisions and scalable processes. The role emphasizes hypothesis-driven analyses, large-scale studies, and close partnership

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