---
title: 'Staff Analytics Engineer, GTM at Scribe'
canonical: 'https://feeny.ai/job/staff-analytics-engineer-gtm-scribe-san-francisco-pvw7q0zzpjjj'
type: 'job'
last_seen: '2026-11-04'
---

# Staff Analytics Engineer, GTM at Scribe

- **Company:** Scribe
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-11-03
- **Last confirmed live:** 2026-11-04
- **Apply:** https://jobs.ashbyhq.com/scribe/ce76fdea-cfe1-49fa-910b-ad0a1e7a647f

## Job description

## About Scribe

[Scribe](https://scribe.com) 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](https://www.linkedin.com/in/melanie-herscher-2757a997/), 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](https://scribe.com/legal/worker-privacy).

## About Scribe

## Company Overview
- **One-liner**: Scribe is an AI-powered platform that automatically captures, documents, and shares workflows, providing the missing context for teams and AI agents to operate efficiently.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, USA (with employees across 3 continents)
- **Founded**: 2020
- **Founders**: Jennifer Smith (CEO) and Aaron Podolny

## Core Business
- Primary industry: Workflow documentation, AI-powered process intelligence, and enterprise knowledge management
- Target customers: B2B, serving both SMBs and large enterprises (94% of the Fortune 500 are customers)
- Mission: "To unleash and uplevel the world's know-how" — making it automatic for the "go-to person" on every team to share how they get things done

## Products & Services
- **Scribe Platform**: An AI-powered tool that automatically captures step-by-step workflows as users work, transforming institutional knowledge into documentation, guides, and context that both human teams and AI agents can read.
- **Scribe AI**: A suite of AI features that analyzes workflows to surface bottlenecks, redundancies, and time drains; provides data-backed recommendations for automation; and gives AI tools (like agents and copilots) the workflow context they need to perform 71% better.
- **Workflow Intelligence**: A product that helps enterprises build their AI roadmap in days by identifying exactly where AI and automation will have the biggest impact and proving ROI.

## Market Standing
- **Valuation**: $1.3 billion (as of early 2026, per Fortune reporting)
- **Key Metric**: Total funding raised of $130M; YoY revenue growth of 300%
- **Notable Investors/Partners**: Not explicitly named in search results, but the company is backed by prominent venture capital firms (early backers mentioned on the about page)
- **Growth Signals**:
  - 6 million+ users and hundreds of thousands of organizations
  - 94% of the Fortune 500 are customers
  - 100+ employees across 3 continents
  - 35 hours saved per person per month for Pro Team & Enterprise customers
  - 98% of customers say they make fewer mistakes
  - 95% of leaders say Scribe enables them to do more with less
  - 12x faster documentation creation

## Competitive Advantages
- **Network effects**: Every workflow captured enriches the platform's AI models, making recommendations smarter for all users
- **Enterprise-grade security**: Meets SOC 2 Type II, HIPAA, CCPA, GDPR, FERPA, and other compliance standards, with automatic redaction of sensitive data
- **AI-native architecture**: Purpose-built to provide context to both human teams and AI agents, solving the "context gap" that limits AI agent adoption in enterprises
- **Zero-friction capture**: Documentation happens automatically as users work — no manual steps, no interrupting workflow
- **High switching costs**: Becomes the "single source of truth" for all organizational processes, deeply embedded in daily operations

## Strategic Focus
- **AI transformation**: Helping enterprises build their AI roadmap in days by measuring exactly where AI and automation will have the biggest impact
- **Context for AI agents**: Positioned as the platform that gives AI tools the workflow context they've been missing — a critical enabler for enterprise AI agent adoption
- **Scaling the best ways of working**: Ensuring best practices are followed consistently across teams and tools
- **International expansion**: Already operating across 3 continents, with continued hiring globally

## Why Work Here
- **Culture and values**: Strong emphasis on six core values that drive decisions daily: Accelerate Impact, Rapid Learning Machine, Raise the Bar, Clear is Kind, Make Our Users Heroes, One Team One Dream. These aren't "corporate buzzwords" — they are used regularly in meetings and decision-making.
- **High agency, low ego**: Described as a place with no micromanagement, no ego — just "thoughtful, humble, incredibly driven teammates."
- **Recruiting as a strategic advantage**: Talent is treated as foundational, not transactional. Hiring managers partner deeply with recruiting from day one. The bar is high but never lowered, even as headcount doubles.
- **Rapid growth trajectory**: 300% YoY revenue growth and a $1.3B valuation mean employees are building at scale with significant resources and impact.
- **Remote/hybrid policy**: Not explicitly stated, but the company has employees across 3 continents, suggesting a distributed or hybrid model.
- **Mission-driven work**: Employees are united by a mission to "uplevel how people do work" and make every team member more effective.

## Sources
1. [scribe.com](https://scribe.com/) — Main product site with customer stats and value proposition
2. [scribe.com/about](https://scribe.com/about/) — Company mission, history, and values
3. [scribe.com/careers](https://scribe.com/careers) — Careers page with culture, values, and growth metrics
4. [scribe.com/library/what-its-like-to-recruit-at-scribe](https://scribe.com/library/what-its-like-to-recruit-at-scribe) — Internal recruiting blog post detailing culture and hiring philosophy
5. [fortune.com](https://fortune.com/2026/scribe-1.3-billion-valuation-ai-workflow/) — Fortune article: "Scribe hits $1.3B valuation as it moves to show where AI will actually pay off"

## Other roles at Scribe

- [Product GTM Lead, Emerging Products](https://feeny.ai/job/product-gtm-lead-emerging-products-scribe-san-francisco-vv49enesftnz) — San Francisco, CA
- [Contracts Manager](https://feeny.ai/job/contracts-manager-scribe-san-francisco-ma1ks7kp798c) — San Francisco, CA
- [Senior Data Scientist, Product](https://feeny.ai/job/senior-data-scientist-product-scribe-san-francisco-xkrctdsafbhd) — San Francisco, CA
- [Manager, Large Enterprise Sales](https://feeny.ai/job/manager-large-enterprise-sales-scribe-united-states-2h1t41mzqtbe) — United States
- [GTM Enablement Lead](https://feeny.ai/job/gtm-enablement-lead-scribe-san-francisco-j98m50pq8rr1) — San Francisco, CA
- [Information Security and GRC Manager](https://feeny.ai/job/information-security-and-grc-manager-scribe-san-francisco-amdnrces8z8z) — San Francisco, CA
- [Backend Engineer, Data Ingestion](https://feeny.ai/job/backend-engineer-data-ingestion-scribe-san-francisco-cp007dns2xj6) — San Francisco, CA
- [Senior Technical Recruiter](https://feeny.ai/job/senior-technical-recruiter-scribe-san-francisco-f4gm6ktgekbv) — San Francisco, CA
- [GTM Operations Manager, Tooling and Process](https://feeny.ai/job/gtm-operations-manager-tooling-and-process-scribe-united-states-m9grn497w8d9) — United States
- [Senior Database Reliability Engineer](https://feeny.ai/job/senior-database-reliability-engineer-scribe-remote-e133st8xvp29)