Назад
5 дней назад

Marketing Analytics Lead, Enterprise Marketing

255 000 - 320 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Marketing Analytics Lead, Enterprise Marketing (Marketing Analytics/SQL): Building and operating a unified measurement framework connecting marketing activity to enterprise pipeline, revenue, and product usage with an accent on metric definition, data modeling, attribution, and executive dashboards. Focus on writing analytical SQL over large datasets, resolving data quality gaps, aligning cross-functional teams, and turning funnel analysis into decisions.

Location: San Francisco, CA or New York City, NY; hybrid policy requiring staff to be in an Anthropic office at least 25% of the time

Annual salary: $255,000–$320,000 USD

Company

Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

  • Own and extend a marketing measurement framework connecting marketing activity to pipeline, revenue, and product usage.
  • Define trusted marketing metrics and align marketing, finance, sales strategy, sales development, data science, and data engineering teams on shared definitions.
  • Build and maintain data models and dashboards used by marketers and executives in regular performance reviews.
  • Write analytical SQL on large datasets to analyze funnel performance and attribution.
  • Lead adoption of the framework, teach stakeholders how the metrics work, and present decision-ready findings to leadership.
  • Track data quality issues and framework gaps, partnering with data engineering to resolve them.

Requirements

  • Deep experience in marketing analytics, including lead funnels, enterprise pipeline attribution, and product usage measurement.
  • Experience designing metrics from scratch and turning ambiguous questions into measurable definitions.
  • Strong analytical SQL skills with large datasets.
  • Experience building data models with tools such as dbt and dashboards used by broad audiences.
  • Ability to set direction independently, align cross-functional teams, and explain metrics to non-technical audiences.
  • Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.

Nice to have

  • Experience with both enterprise sales-led and product-led growth motions.
  • Familiarity with marketing attribution models, CRM and marketing automation data such as Salesforce, and the practical tradeoffs of pipeline measurement.
  • Background in data science, analytics engineering, or marketing operations.
  • Experience establishing a measurement practice and presenting insights directly to executives.

Culture & Benefits

  • Collaborative environment focused on high-impact AI research and trustworthy AI.
  • Flexible working hours and an office-based hybrid arrangement.
  • Competitive compensation with optional equity donation matching.
  • Generous vacation and parental leave.
  • Office space designed for collaboration.
  • Visa sponsorship may be available, with immigration lawyer support, depending on the role and candidate.

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