Staff Analytics Engineer, GTM

Scribe; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Healthcare Coverage

Equity

401(k) Plan

Flex Benefit

Commuter Benefits

PTO

Parental Leave

Wellness & Family Support

Job summary

Scribe, based in San Francisco, is seeking a Lead Analytics Engineer for GTM to design core data models that define how we measure pipeline, bookings, ARR, and revenue. You will set standards for durable, self‑serve analytics across Sales, Marketing and Finance, and mentor the analytics team.

You will work hand‑in‑hand with sales, marketing, finance, and RevOps to answer critical GTM questions, delivering scalable data products and impact-driven insights that guide investments and strategy.

Qualifications

• 8+ years of analytics engineering, data engineering, or analytics in a SaaS environment.
• Built data models from ground up with clear, scalable definitions.
• Strong SQL skills and deep knowledge of GTM and revenue data (CRM, marketing, billing).

Responsibilities

• Build Scribe’s foundational GTM data models across Sales, Marketing and Finance.
• Turn business questions into actionable metrics and dashboards.
• Partner with GTM, finance, and RevOps to define KPIs and analyses.
• Mentor analysts and analytics engineers as the team scales.
• Establish data quality standards and self-serve tooling.

Skills

8+ years experience

Analytics engineering

Data modeling

SQL

Cross-functional

GTM data

Leadership

Data storytelling

Tools

Snowflake

dbt Cloud

Sigma

Mixpanel

Looker

Job description

About Scribe

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.

tl;dr – Why this role matters

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.

Hiring Manager: Melanie Herscher, Head of Data

About the role

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:

• Build Scribe’s foundational GTM data models from first principles, starting with Sales and extending across Marketing and Finance, so that metrics like pipeline, bookings, ARR, and conversion have one clear, consistent definition.
• Turn ambiguous business questions into simple, actionable metrics, partnering directly with GTM and finance leaders to define the KPIs, dashboards, and analyses they run the business on.
• Be a cross‑functional magnet with our sales, marketing, and finance teams, establishing trusted partnerships and serving as the go‑to resource for GTM data questions, deep‑dive analysis, and technical guidance.
• Lay the foundation of GTM data culture through reproducible work, documentation, data quality standards, and self‑serve tooling that make data accessible to everyone in the GTM org.
• Mentor and help grow the team as GTM analytics scales, setting the technical bar and best practices for the analysts and analytics engineers who follow.

What makes you a great fit

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

• Have 8+ years of experience in analytics engineering, data engineering, or analytics, with significant time spent on Sales, Marketing, or Finance data at a SaaS company
• Have built data models from the ground up, and know how to design for clarity, scale, and trust rather than inheriting what already exists
• Strong technical proficiency in our tech stack – Snowflake, dbt cloud, Sigma, Mixpanel, and Looker – with expert SQL and data modeling skills
• Fluent in GTM and revenue data, including CRM, marketing, and billing systems, and concepts like pipeline, bookings, ACV/ARR, funnel conversion, and attribution
• Customer mindset, adept at understanding how sellers, marketers, and finance partners actually work, and communicating complex findings clearly to non‑technical audiences
• Low ego. You care about building things and recognize that this may require rolling your sleeves up, getting in the trenches, and owning everything from data modeling to ad‑hoc analysis
• Proactive, high-output orientation. You push insights and data onto teams rather than waiting for requests to emerge from them
• Outcomes over output. You thrive on creating business value and know when to build a durable model v/s doing ugly napkin math to bias towards action
• Experience building technical and semantic infrastructure to power internal natural language agents and agentic automation

Bonus Points

• 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

Benefits

• Healthcare Coverage – Comprehensive health, dental, and vision plans, including two $0/month medical plan options for employees
• Equity – Ownership in what we're building
• 401(k) Plan – through Vestwell
• Flex Benefit – $500/year for home office equipment, productivity tools, learning & development or fitness/wellness
• Commuter Benefits – $100/month for SF based employees
• PTO – Flexible paid time off and company holidays
• Parental Leave – Paid leave to support growing families
• Wellness & Family Support – Free Talkspace membership, One Medical access (location-dependent), and Kindbody discounts for family planning

At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. Scribe is proud to be an Equal Opportunity Employer.

Our Worker Privacy notice can be found here.