Product Marketing Manager, Pricing (Subscriptions)

Meta · San Francisco, California · Posted 2 weeks ago
Full-Time
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About this role

Meta is building a new generation of consumer and business subscription products with MetaOne. Pricing and bundling are central to whether these products succeed and deliver value to people and businesses. Meta is seeking a Product Marketing Manager to lead subscriptions pricing. The ideal candidate will have direct, hands-on experience setting pricing and bundling strategy for subscription products, an understanding of subscription business models, willingness-to-pay research and price elasticity, and a track record of translating that into decisions that grow adoption and revenue. They will coordinate cross-functional work with product, research, data science, finance and go-to-market peers to deliver results in a fast-paced environment. The Product Marketing Manager will be responsible for driving pricing strategy for Meta's subscription products — assessing market needs, conducting research to influence pricing and packaging decisions, establishing pricing governance and guardrails, and identifying opportunities to optimize monetization while protecting the customer experience. **Responsibilities** Lead pricing, packaging and bundling strategy for Meta's subscription products, including price setting, experimentation, discounting/promotions and internationalization. \* Lead market assessment, quantitative analysis and qualitative feedback — representing market requirements internally with Product Management, Data Science and Engineering. \* Drive ongoing pricing optimization, including periodic price adjustments, elasticity testing, to respond to market conditions and business goals. \* Establish and uphold pricing governance, including principles, methodology, approval processes and guardrails across the subscriptions portfolio. \* Own go-to-market strategy for pricing and packaging initiatives by guiding cross-functional teams in developing client communications, positioning and sales enablement. \* Monitor competitor pricing and subscription market trends, providing actionable insights and recommendations to leadership on pricing and packaging changes. \* Ensure the right level of alignment, consistency and flexibility in approach across regional and vertical teams, with the goal of scaling impact while meeting market-specific needs. **Qualifications** 10+ years of professional experience in pricing strategy, product marketing, product management, monetization or management consulting \* Direct experience developing and executing pricing, packaging and bundling strategy for subscription products \* Experience with pricing research, modeling and optimization (e.g. willingness-to-pay, price elasticity), and familiarity with key subscription metrics \* Experience leading cross-functional teams through influence and the ability to drive resolution in the context of competing perspectives \* Analytical, data-driven decision-maker with experience using deductive reasoning to simplify and communicate complex issues \* Communication skills that are effective with technical, business and external stakeholders, including senior leadership \* Experience working in a fast-paced, ambiguous environment and driving clarity in complex situations \* Bachelor's degree in Business, Marketing, Economics or a related discipline MBA or other relevant advanced degree \* Experience working across both B2B and B2C customer-driven development \* Experience with experimentation, A/B testing and data-driven decision-making \* Experience building out or scaling a pricing function or capability \* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) \* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) \* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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