Six Figure Work

Staff Analytics Engineer, GTM

Scribe

Company websitescribe.com (Scribe, opens in new tab)

Base salary $200K  to $250K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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.

Source: Scribe on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($200,000) is above 57% of the 1,470 Data & ML roles in California listed on this site; 72 others list the same floor. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Scribe roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Scribe roles with the nearest advertised base floor
RolePublished base
Staff Analytics Engineer, GTM (this listing)$200K - $250K
Director of Customer Marketing & Advocacy (founding role)$215K - $250K
Senior Product Manager$180K - $210K
Senior Full-Stack Engineer$175K - $240K
Senior Backend Engineer$175K - $240K
Product GTM Lead, Emerging Products$175K - $230K
Product GTM Lead, Solutions$175K - $230K

Same $100K to $400K scale as every card. All Scribe roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-11-03
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 200,000 – 250,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.