Marketing Analytics Lead Enterprise Marketing

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

Series F+Recently funded0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

San Francisco, United States
About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own the end-to-end marketing measurement framework, including metrics, data models, dashboards, and insights. You will write analytical SQL, improve data quality, align cross-functional teams on definitions, teach stakeholders how to use metrics, and present decision-ready findings to leadership.

Requirements

  • Experience with marketing analytics, lead funnels, attribution, enterprise pipeline, and product usage measurement
  • Experience designing trusted metrics from scratch
  • Ability to write analytical SQL on large datasets
  • Experience building data models in dbt and widely used dashboards
  • Ability to translate vague questions into measurable definitions
  • Experience aligning cross-functional teams
  • Ability to teach non-technical audiences about metrics

Responsibilities

  • Own the marketing measurement framework linking activity to pipeline, revenue, and product usage
  • Define marketing metrics and align cross-functional teams on definitions
  • Build and maintain reporting data models
  • Develop dashboards for weekly marketing and executive reviews
  • Teach stakeholders how metrics work
  • Lead adoption of the measurement framework as a shared source of truth
  • Connect marketing measurement to the broader revenue picture
  • Turn analysis into recommendations
  • Write analytical SQL on large datasets for funnel performance and attribution
  • Resolve framework gaps and data quality issues with data engineering
  • Present decision-ready findings to marketing leadership and executives

Benefits

  • Optional equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours