Head of Enterprise Marketing Strategy & Analytics

San Francisco, CA (Hybrid)

$0K/yr – $0K/yrSenior Level10+ years expFull time

Posted 4 months ago

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Job Summary

Drive enterprise marketing measurement, data stack, and cross-functional governance to align Marketing with Revenue Ops and Finance.

  • Own the enterprise marketing measurement framework, targets, and reporting.
  • Strong 10+ years in marketing operations/analytics with team leadership.

Job Description

Responsibilities

  • Define and own the Enterprise Marketing measurement framework, targets, and reporting, covering the full funnel from top-of-funnel demand through pipeline influence and closed-won attribution.
  • Build and maintain core analytics infrastructure (data models, attribution logic, dashboards) in partnership with Revenue Operations and Data Science, ensuring marketing and sales alignment on key metrics.
  • Serve as the primary operating partner to Finance, HR, and Recruiting, leading budget tracking, headcount planning, vendor management, and the organizational rhythms.
  • Partner with marketing leadership on annual and quarterly planning, resource allocation, and performance reviews.
  • Establish the operating cadence for the organization (QBRs, pipeline reviews, program retros) and drive the preparation needed to make these forums decision-useful.
  • Lead the identification of high-leverage workflows to automate, partnering with the central GTM AI team on implementation and measuring productivity gains.
  • Build and manage the Marketing Operations, Demand Analytics, and MarTech team, setting a high bar for analytical rigor and business partnership.
  • Drive cross-functional alignment on shared definitions, tooling, and a single source of truth for marketing performance across the broader Marketing organization and with Revenue Operations.
  • Conduct strategic analyses to inform key organizational decisions, such as resource deployment, coverage ratios, and campaign capacity planning.
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Anthropic

4.3 Glassdoor

We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

Founded in 2021
3K employees (168 in marketing)
82% recommend to a friend

Recent Ads

Traffic Signals

Monthly Visitors
11.6M
Monthly Google Ads Budget
$175.7K
Traffic Source Mix
Search
38.4%
Direct
48.7%
Referral
11.3%
Social
1.2%
Paid
0.4%

Headcount Trend

Current headcount: ~3K

Marketing Team

Marketing Team Size
130 (4% of company)
Median Career Experience
14 years
Median Tenure
1.1 years
Marketing Roles Posted (Last 30 Days)
7

Funding

Total Funding
$63.7B
Last Raise
$30B
Series G, 1 months ago

Funding History

  • Feb 2026
    Series G • $30B
  • Sep 2025
    Series F • $13B
  • May 2025
    Debt Financing • $2.5B

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