L
Not Specified Permanent

San Francisco, California · USA job

Product Marketing Manager, Data Capabilities

Linkedin

San Francisco, California

Job description

Overview

In this role you will shape the future of LinkedIn's advertising products by translating advertiser needs and data signals into strategic product and go-to-market plans. You will collaborate with product, engineering, legal, sales, and marketing to strengthen data-driven audiences, improve campaign performance, and drive adoption of new data capabilities. You'll craft compelling narratives for advertisers and LinkedIn Marketing Partners, aligning data capabilities with cross-functional initiatives to deliver measurable value. This is a cross-functional, impact-focused role at scale in a fast-growing LMS business.

Compensation / Benefits
  • annual performance bonus
  • stock
  • benefits
  • flexible work arrangements
Responsibilities
  • Voice of global advertisers: identify data, privacy, and integration requirements and monitor trends to guide product strategy and GTM priorities
  • Develop positioning, messaging, and GTM plans to drive adoption of data capabilities, integrations, and solutions that improve signal quality and match rates
  • Lead communications and change management related to regulatory shifts and LinkedIn terms affecting data use in marketing campaigns
  • Partner cross-functionally to align product strategy, ensure launch readiness, and drive GTM execution
  • Identify opportunities to connect data capabilities across LinkedIn for a more integrated B2B data and GTM engine
  • Navigate ambiguity and evolving priorities while balancing strategy, alignment, and execution across complex initiatives
Key requirements
  • BA/BS Degree or equivalent experience
  • 4+ years of experience in relevant B2B product, marketing, or business strategy roles
  • 2+ years in product marketing in advertising, marketing technology, or related industry
  • Cross-functional collaboration
  • Stakeholder management
  • Strategic storytelling
  • AI-enabled tools and workflows in product marketing
  • Data capabilities, signals, and measurement
  • APIs, integrations, and data privacy/regulatory considerations

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