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

Requirements

• 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

• 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

Benefits

• We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.