PLG Monetization & Pricing Lead (Hybrid)

Rippling

New York (NY)

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Rippling is building a Monetization & Pricing Team within BizOps. As a founding member, you will own pricing and packaging strategies across our expanding product portfolio, with a focus on Product-Led Growth monetization, self-serve funnels, and freemium-to-paid conversions across AI, HR, IT, and Spend products.

You will collaborate with Product, Growth, Marketing, and Engineering to design pricing tiers, optimize paywalls, and run rapid price experiments, while balancing cross-functional needs

Qualifications

  • 6+ years in growth, pricing, business ops, consulting, VC, or founder roles with PLG focus.
  • Deep PLG acumen and bottom-up SaaS understanding with key metrics.
  • Analytical mindset with dashboards, SQL, and product analytics tools.
  • Cross-functional fluency bridging Product and Sales.
  • Ownership mindset, decisiveness, and strong judgment in ambiguity.

Responsibilities

  • Drive PLG monetization strategy with pricing tiers and freemium models.
  • Optimize monetization triggers and paywall interventions.
  • Lead quantitative and qualitative research including price tests and WTP.
  • Go deep into buyer journey analytics and competitor pricing teardown.
  • Balance cross-functional needs between Product Growth, GTM, and Finance.

Skills

PLG monetization
SaaS metrics
SQL
Product analytics
A/B testing
Cross-functional fluency
Altitude agility
Extreme ownership
Decisiveness

Tools

Amplitude
Mixpanel
A/B testing frameworks

Job description

Rippling is building a Monetization & Pricing Team within BizOps. As a founding member, you will own pricing and packaging strategies across our expanding product portfolio, with a focus on Product-Led Growth monetization, self-serve funnels, and freemium-to-paid conversions across AI, HR, IT, and Spend products.

You will collaborate with Product, Growth, Marketing, and Engineering to design pricing tiers, optimize paywalls, and run rapid price experiments, while balancing cross-functional needs

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