# Product Marketing, Data Products

**Company:** [Stripe](https://hotfix.jobs/companies/stripe)
**Location:** Unspecified
**Role:** Product Marketing
**Experience:** 10+ years
**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
**Posted:** 2026-08-06

> 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.

## Job Description

## 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.

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