Marketing Analytics Lead, Enterprise Marketing

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems

About the role

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. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works.

In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel

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 The annual compensation range for this role is listed below.