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Head of Marketing Operations

Exa · San Francisco, United States

External listingfull-time7 days ago

About The Role

Join Exa, an AI-first company, as the Head of Marketing Operations. In this role, you will build the infrastructure that allows marketing to scale, manage the marketing tech stack, and drive the analytics that turn marketing into a predictable pipeline engine. You will be the connective tissue between Marketing, Sales, and RevOps, and own the full lifecycle from anonymous visitor to closed-won. Success will be measured by conversion lift, clean handoff metrics, and leadership confidence in the numbers.

  • Posséder l'ensemble de la pile technologique marketing, de la sélection à l'intégration, en passant par la mise en œuvre et les normes qui régissent le flux de données entre les systèmes.
  • Concevoir et déployer des flux de travail alimentés par l'IA pour automatiser les tâches à haute fréquence, et promouvoir l'adoption de l'IA au sein de l'équipe GTM.
  • Assurer la qualité des données, la conformité à la vie privée (RGPD, CCPA) et le modèle de gouvernance qui maintient notre base de données fiable à mesure que nous évoluons.
  • Track record owning attribution methodology, lead scoring, routing, and data quality at scale
  • Experience building marketing operations from scratch or replatforming, ideally at a developer-first or PLG company
  • A proven AI builder mindset: you've shipped automations and internal tools using LLMs and workflow platforms (Clay, Zapier, Make, n8n), not just used ChatGPT
  • Nice to Have
  • Experience running planning cadences, budget, and vendor management alongside a marketing leader
  • 6+ years in marketing operations, with meaningful time at a high-growth B2B startup. You thrive in ambiguity and don't need a playbook to get started
  • Impeccable analytical and problem-solving skills; calm under pressure, strong opinions held loosely
  • Deep fluency in HubSpot or Marketo, Salesforce, and at least one BI tool (Looker, Tableau, Sigma, Hex)
  • Experience with hybrid PQL + MQL scoring models
  • SQL fluency and experience with ETL/data pipelines or warehouse-native architecture
  • Bachelor's degree in a quantitative or technical field (or equivalent hands-on experience)
  • Familiarity with the developer tools landscape and how developers like to be marketed to (hint: they don't)
  • Experience managing outbound infrastructure and deliverability at scale

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