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StripeStripe

Product Marketing, Data Products

Owns positioning, launches, and adoption programs for Stripe’s data products, translating analytics-buyer insights into product strategy and measurable go-to-market outcomes. Requires 10+ years of B2B product marketing experience and familiarity with data analytics ecosystems.

About the job

Responsibilities

  • Own go-to-market strategy and drive adoption for Stripe's data products, including Sigma, Data Pipeline, Database, and new products.
  • Build expertise on data analytics buyers, including data analysts, analytics engineers, and BI practitioners, and translate insights into product roadmap recommendations and go-to-market strategy.
  • Own positioning and messaging for data products.
  • Drive end-to-end go-to-market for product launches, including narrative, target audience, launch assets, and adoption programs across sold and self-serve motions.
  • Partner with demand generation and campaigns to reach data analytics buyers and accelerate product adoption.
  • Build sales enablement, including messaging frameworks, competitive battlecards, and sales assets.
  • Own competitive intelligence for the analytics and business intelligence landscape.
  • Define program KPIs and maintain accountability to measurable business outcomes.

Requirements

  • 10+ years of product marketing experience, preferably in B2B technology.
  • Builder mentality, strong bias to action, and comfort with ambiguity, experimentation, and rapid adaptation.
  • Excellent communication and presentation abilities, including the ability to distill complex technical concepts into compelling narratives for executive and external audiences.
  • Exceptional cross-functional leadership and ability to influence across senior leadership and project teams.
  • Ability to move between strategy and execution, from big-picture planning to detailed implementation.
  • Proven ability to translate customer and market insights into differentiated positioning and measurable go-to-market programs.

Nice-to-haves

  • Deep familiarity with the data analytics ecosystem, including BI tools, cloud data warehouses, and analytics workflows.
  • Experience marketing to data analysts, analytics engineers, data engineers, or developers.
  • Experience marketing to technical audiences.
  • Experience using and building AI-powered tooling.

Skills

Product Marketing, Go-to-Market Strategy, Data Analytics, Business Intelligence, Cloud Data Warehouses, Analytics Workflows, Competitive Intelligence, Sales Enablement, Demand Generation, Kpi Management, Ai-Powered Tooling

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