Product Marketing Lead, Data Cloud; SF, NYC or Seattle

Product Marketing Lead, Data Cloud (Based in SF, NYC or Seattle)

Location:

Seattle, Washington, United States. You will be based in our SF, NYC, or Seattle office and will be required to be in office 3x/week.

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third‑party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America’s best startup employers by Forbes.

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.

• 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—landing pages, demo videos, technical blog posts, and email campaigns—that brings 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 such as "Automation of the Day" videos, AI use‑case leaderboards, and…