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Product Marketing, Data Products

Stripe
US / CanadaPosted 147 days ago
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Stripe is hiring a Product Marketing, Data Products in 2317 Marketing - PMM — US / Canada. The overview below is synthesized from the employer posting on stripe.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.

About Stripe

Company context from the listing:

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.

About the team

Company context from the listing:

Our Product Marketing team's mission is to generate customer insights that inform Stripe's product strategy, and lead go-to-market for our suite of products. Product Marketing is a highly cross-functional role at Stripe, partnering closely with Product and Engineering, Sales, Partnerships, Demand Generation and Campaigns to name a few.

The listing frames the Product Marketing, Data Products at Stripe as a hands-on product role. As monetization grows more complex — from AI companies hyperscaling globally to enterprises integrating Stripe deeply into their operations — data has become a critical lever that helps businesses make better decisions.

What you'll do

Day-to-day scope for the Product Marketing, Data Products as described in the posting:

As a key owner of our GTM strategy for Stripe's data products, you'll need to quickly build a deep understanding of our products, the data analytics buyer, and our competitive differentiation. You will:

  • Be the expert on our data analytics buyers — understand how data analysts, analytics engineers, and BI practitioners evaluate and adopt tools, and translate those insights into product roadmap recommendations and GTM strategy.
  • Own positioning and messaging for Stripe's data products, building a clear and differentiated point of view in a competitive market.
  • Drive end-to-end go-to-market for data product launches — from defining the narrative and target audience to developing the assets and programs that drive adoption across sold and self-serve motions.
  • Partner with demand generation and campaigns to design and execute programs that reach the data analytics buyer and accelerate product adoption at scale.
  • Build sales enablement — develop the messaging frameworks, competitive battlecards, and assets that help sales teams clearly articulate the value of Stripe's data products.
  • Own competitive intelligence for the analytics and BI landscape, tracking competitors and turning that intelligence into differentiated positioning and sales tools.
  • Define program KPIs and maintain accountability to measurable business outcomes across the data products portfolio.

Minimum requirements

Experience and skills the team lists as required:

  • 10+ years of product marketing experience, preferably in B2B tech.
  • A builder mentality with a strong bias to action. Comfortable with ambiguity, able to experiment and adapt at pace.
  • Excellent communication and presentation abilities, with a proven track record of distilling complex technical concepts into compelling narratives for executive and external audiences.
  • Exceptional cross-functional leadership and ability to influence across all levels and functions, from senior leadership to project teams.
  • High comfort toggling between strategy and execution — big picture to fine detail.
  • Proven ability to translate customer and market insights into differentiated positioning and measurable GTM programs.

Preferred qualifications

Experience and skills the team lists as required:

  • Deep familiarity with the data analytics ecosystem — BI tools, cloud data warehouses, and analytics workflows — and a proven ability to market to the data analyst or analytics engineer buyer.
  • Experience marketing to technical audiences such as data engineers, analytics engineers, or developers.
  • Power user (and builder) of AI-powered tooling.