Head of Enterprise Marketing Strategy & Analytics

Anthropic
San Francisco, CA | Seattle, WAPosted 30 March 2026

Tech Stack

Job Description

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 This foundational leadership role will build and lead the Enterprise Marketing Strategy Analytics function, serving as the operating system for a rapidly scaling marketing organization. The primary mandate is to define and measure success across all marketing programs—from demand generation (field events, ABM, EBCs, partner co-marketing) to pipeline contribution—creating a clear line from investment to pipeline to revenue. You will establish the metrics framework, stand up reporting infrastructure, and partner with Revenue Operations on planning and forecasting to enable faster, better-informed resource decisions. The role combines deep analytics (program ROI, attribution, demand and lead analytics) with operational leadership, managing core business functions. You will serve as the primary contact into Finance, HR, and Recruiting, owning headcount and budget tracking, and driving the organizational operating cadence. You will also lead the effort to deploy AI/automation across Enterprise Marketing workflows to prove out internally what we sell externally. You will inherit and grow a team of marketing ops, analytics, and martech professionals. The ideal candidate has scaled this function previously at a fast-growing B2B company, excels in both technical analytics and business operations, and is adept at building trust across sales leaders, finance partners, and field marketers. 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. You may be a good fit if you have 10+ years in marketing operations, analytics, revenue operations, or strategy roles, including at least 3 years leading a team. Experience building or significantly scaling a marketing ops/analytics function at a high-growth B2B technology company undergoing significant organizational expansion. Deep fluency in the enterprise demand funnel, including lead scoring, MQL/SQL definitions, pipeline attribution, and campaign influence models. Hands-on expertise with the modern GTM data stack (CRM, Marketing Automation, BI tools).. Proven track record of strategic partnership with Finance and Revenue Operations, including experience building budget models and sitting in planning cycles. Exp ... (truncated, view full listing at source)
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