Staff Analytics Engineer, GTM

Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to own their specialized intelligence: the unique way their teams work, decide, and get things done. Our Specialized Intelligence platform automatically captures how work happens and turns it into a living asset for people and AI agents.

We're growing fast. Since our founding in 2019, we've reached 7 million users across 600,000 businesses. Based in San Francisco, we're a LinkedIn Top Startup, valued at over $1B, and backed by leading investors. Join us in our mission to transform how people work.

At Scribe, data is the foundation of how we make decisions — we take it very seriously. As we accelerate our sales organization into a first-class enterprise team, the data behind our go-to-market motion needs to be just as strong as the data behind our product. We’re looking for a hands-on builder to lay the foundation of GTM data at Scribe — designing first-principles data models across Sales, Marketing, and Finance, and building a culture where every GTM decision starts from a trusted, shared source of truth.

As the Lead Analytics Engineer for GTM, you’ll be the first dedicated data hire for our go-to-market organization, reporting directly to the Head of Data. You’ll design and build the core data models that define how Scribe measures pipeline, bookings, revenue, and customer growth, and you’ll set the standards that future GTM analytics work is built on. As the team grows, you’ll have the opportunity to mentor and shape the analysts and analytics engineers who join it.

Working hand in hand with sales, marketing, finance, and RevOps, you will answer Scribe’s most critical go-to-market questions and turn them into durable, self-serve data products. Your work will be central to how we scale our enterprise motion, helping leadership understand what drives pipeline and revenue, and where to invest next.

Key responsibilities of this role include:

You’d be a great fit for this role if this sounds like you:

• Experience working in high-paced Enterprise SaaS startups, especially during a shift from self-serve to enterprise sales

• Experience mentoring analysts or analytics engineers, or serving as a tech lead on a data team

• Experience creating a step-function change in a GTM team’s effectiveness with the help of AI tooling