Product Marketing Lead, Data Cloud (Based in SF, NYC or Seattle
Listed on 2026-08-15
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IT/Tech
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Marketing / Advertising / PR
About the role
We’re looking for a highly strategic and hands‑on Product Marketing Manager to own the go‑to‑market strategy and narrative for Rippling Data Cloud.
With the launch of Data Cloud, we are fundamentally changing how companies interact with their business and people data. We are offering a modern data stack natively inside Rippling, while also allowing enterprise customers to seamlessly connect their existing data warehouses (Snowflake, Databricks, Big Query, etc.) via zero-copy data access. Layered with Rippling AI, we are empowering every leader to answer complex questions at the intersection of their workforce and their business.
In this role, you will turn Rippling’s groundbreaking data and platform capabilities into compelling stories that inspire customers to act. You will craft the positioning, build the go‑to‑market engine, enable our sales teams, and launch campaigns that connect deep technical innovation to everyday customer outcomes. The ideal candidate is both a visionary storyteller and a rigorous analytical thinker who can uncover customer insights, write persuasive copy spanning both technical and non‑technical audiences, and drive measurable product adoption at scale.
What you will do- Own Positioning, Messaging, and Go-to-Market
- Develop and refine the core messaging framework that positions Rippling as a unified solution connecting a company's data stack with its employee graph and governance model.
- Tailor the "Two paths, one platform" narrative for diverse buyer personas, from technical data/IT teams evaluating infrastructure to HR and business leaders looking for actionable insights.
- Partner with GTM, brand, and product leadership to design and execute high-impact launch strategies for Data Cloud features, BI/Analytics updates, and AI capabilities.
- Build high-impact sales enablement materials, including pitch decks, battle cards, competitive intelligence, and one-pagers.
- Train the global sales organization on how to effectively pitch Data Cloud, handle objections (e.g., "Why not just pipe Rippling data into Snowflake?"), and navigate complex technical evaluations.
- Support customer and field marketing with tailored assets for distinct audiences, industries, and company sizes.
- Develop a robust library of real-world use cases that show how Data Cloud solves complex problems (e.g., correlating CS attrition with Zendesk ticket volume, or triggering Salesforce commissions directly into payroll).
- Maintain and continuously expand the library with new examples that make cross-system automations and AI-generated insights tangible and inspiring for both prospects and existing customers.
- Write and produce compelling product content—from landing pages and demo videos to technical blog posts and email campaigns that bring Rippling Data Cloud to life.
- Translate complex architectural features (data pipelines, transformations, zero-copy architecture) into creative, benefit-driven content that converts.
- Launch scalable initiatives like "Automation of the Day" videos, AI use-case leaderboards, and recognition programs celebrating customer innovation.
- 8–10+ years of experience in product marketing, solutions marketing, or GTM strategy at a fast-paced B2B SaaS company.
- Exceptional copywriting and storytelling skills, with a proven ability to translate complex, technical concepts into accessible, value-driven messaging.
- Deep experience partnering with Sales, Product, and Demand Generation teams to drive full-funnel GTM campaigns and zero-to-one product launches.
- Proven track record of building pitch decks and sales materials that directly accelerate revenue and win rates.
- Data-informed and experiment-driven mindset with the ability to manage complex, cross-functional projects from concept through optimization.
- A growth mindset, high autonomy, and an eagerness to continuously test, learn, and iterate.
- Experience marketing data products, BI tools, analytics platforms, or the "modern data stack" (Fivetran, Snowflake, dbt, Looker, etc.).
- Familiarity with…
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