# Marketing Analytics Lead, Enterprise Marketing

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $255,000-$320,000 USD
**Category**: Marketing
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5434145008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5b126913-19b

## Description

As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions.

## Key Responsibilities

- Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage

- Set the direction for the framework and extend it to programs it doesn't cover yet

- Define marketing metrics clearly and get cross-functional teams to agree on definitions early

- Build and maintain the data models that power marketing reporting

- Develop dashboards that marketers and executives rely on in their weekly reviews

- Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve

- Lead adoption of the framework so that both marketing and executive teams use it as their shared source of truth

- Partner with finance, sales strategy, and sales development to connect marketing measurement to the broader revenue picture

- Find and share the insights nobody asked for, turning analysis into recommendations that change what we do

- Write analytical SQL on large datasets to answer questions about funnel performance and attribution

- Track framework gaps and data quality issues, and work with data engineering to resolve them

- Present findings to marketing leadership and executives in clear, decision-ready formats

## Minimum Qualifications

- Have deep experience with marketing analytics, including lead funnels, attribution to enterprise pipeline, and product usage measurement

- Have designed metrics from scratch and know what makes a metric trusted and useful

- Can write analytical SQL on large datasets with confidence

- Have built data models in tools like dbt and dashboards that many people use daily

- Are comfortable setting direction without waiting for a plan to be handed to you

- Can turn vague questions into clear, measurable definitions

- Work well across functions and know how to get teams aligned on definitions before problems surface

- Enjoy teaching others how metrics work and helping non-technical audiences build data fluency

- Finish what you start, from first definition to adopted dashboard

- Are excited about Anthropic's mission to develop AI that is safe and beneficial

## Preferred Qualifications

- Experience building marketing measurement for both enterprise sales-led and product-led growth motions

- Familiarity with marketing attribution models and their practical tradeoffs

- Experience presenting metrics and insights directly to executives and shaping how leadership reviews performance

- A background in data science, analytics engineering, or marketing operations

- Experience working with CRM and marketing automation data, such as Salesforce and related tooling

- Experience standing up a measurement practice where one didn't exist before

- Familiarity with how finance and sales strategy teams think about pipeline and forecasting

## Logistics

- Annual Salary: $255,000-$320,000 USD

## Skills

### Required
- marketing analytics
- SQL
- data modeling
- dashboard development
- metric definition

### Nice to have
- marketing attribution models
- data science
- analytics engineering
- marketing operations
- CRM and marketing automation data

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5434145008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
