Product Marketing, Data Products

<h2><strong>About Stripe</strong></h2> <p>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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</p> <h2><strong>About the team</strong></h2> <p>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. Different from many other Product Marketing teams, our team works across the entire product lifecycle, from helping shape the product, to driving launch and commercialization, to growing product adoption post-launch.</p> <p>We are looking to hire a Product Marketing Manager to own go-to-market strategy and drive adoption for Stripe's data products — including Sigma, Data Pipeline, Database, and new products we’re incubating. 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.</p> <h2><strong>What you'll do</strong></h2> <p>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:</p> <ul> <li>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.</li> <li>Own positioning and messaging for Stripe's data products, building a clear and differentiated point of view in a competitive market.</li> <li>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.</li> <li>Partner with demand generation and campaigns to design and execute programs that reach the data analytics buyer and accelerate product adoption at scale.</li> <li>Build sales enablement — develop the messaging frameworks, competitive battlecards, and assets that help sales teams clearly articulate the value of Stripe's data products.</li> <li>Own competitive intelligence for the analytics and BI landscape, tracking competitors and turning that intelligence into differentiated positioning and sales tools.</li> <li>Define program KPIs and maintain accountability to measurable business outcomes across the data products portfolio.</li> </ul> <h2><strong>Minimum requirements</strong></h2> <ul> <li>10+ years of product marketing experience, preferably in B2B tech.</li> <li>A builder mentality with a strong bias to action. Comfortable with ambiguity, able to experiment and adapt at pace.</li> <li>Excellent communication and presentation abilities, with a proven track record of distilling complex technical concepts into compelling narratives for executive and external audiences.</li> <li>Exceptional cross-functional leadership and ability to influence across all levels and functions, from senior leadership to project teams.</li> <li>High comfort toggling between strategy and execution — big picture to fine detail.</li> <li>Proven ability to translate customer and market insights into differentiated positioning and measurable GTM programs.</li> </ul> <h2><strong>Preferred qualifications</strong></h2> <ul> <li>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.</li> <li>Experience marketing to technical audiences such as data engineers, analytics engineers, or developers.</li> <li>Power user (and builder) of AI-powered tooling.</li> </ul>