Responsibilities

• Marketing technology stack and architecture Own the marketing tech stack end to end: selection, implementation, integration, and the standards that govern how data flows between systems, including marketing automation, enrichment, and the integration layer with Salesforce. Success is measured by stack reliability, total cost of ownership, and the speed at which marketing can launch new programs.
• AI-first automation Design and deploy AI-powered workflows (Claude, Clay, Zapier, and whatever you build yourself) to automate high-frequency tasks, and evangelize AI adoption across the GTM team. If a process runs manually more than twice, you should be itching to automate it.
• Lifecycle, lead management, and scoring Own the full lifecycle from anonymous visitor through closed-won: lead scoring, MQL and PQL definitions, SLA enforcement, routing, enrichment, nurture, and the handoff to sales. Success is measured by conversion lift and clean handoff metrics.
• Attribution, reporting, and analytics Own marketing analytics, attribution methodology, and the dashboards leadership sees: pipeline attribution, channel ROI, and the quarterly marketing performance review. Success is measured by leadership confidence in the numbers and the speed of decisions informed by them.
• Marketing operating rhythm Drive the drumbeat of the marketing team: quarterly planning, goal tracking, weekly business reviews, budget and vendor management, and the prioritization framework that turns a long list of ideas into a focused roadmap.
• Data governance and deliverability Own data hygiene, privacy compliance (GDPR, CCPA, and emerging US state laws), email deliverability, and the governance model that keeps our database trustworthy as we scale.

Requirements

• 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.
• Experience building marketing operations from scratch or replatforming, ideally at a developer-first or PLG company.
• Deep fluency in HubSpot or Marketo, Salesforce, and at least one BI tool (Looker, Tableau, Sigma, Hex).
• 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.
• Track record owning attribution methodology, lead scoring, routing, and data quality at scale.
• Experience running planning cadences, budget, and vendor management alongside a marketing leader.
• Impeccable analytical and problem-solving skills; calm under pressure, strong opinions held loosely.

Preferred

• SQL fluency and experience with ETL/data pipelines or warehouse-native architecture.
• Experience with hybrid PQL + MQL scoring models.
• Familiarity with the developer tools landscape and how developers like to be marketed to (hint: they don't).
• Bachelor's degree in a quantitative or technical field (or equivalent hands-on experience).
• Experience managing outbound infrastructure and deliverability at scale.

Benefits

• Health and wellness: Premium medical, dental, and vision coverage, plus a monthly wellness benefit and a monthly commuter benefit for our SF team.
• Fertility and family planning: Reimbursement for eligible egg freezing and related medical expenses up to a $15,000 lifetime maximum, plus 16 weeks of fully paid parental leave for all new parents, whether through birth, adoption, surrogacy, or foster placement.
• Life at Exa: Lunch and dinner served daily, an office stocked with snacks, coffee, and health supplements, fresh bread from a local bakery every morning, weekly milk tea deliveries, monthly picnics, and parties to celebrate the wins (and each other).
• Visa sponsorship: We sponsor visas for exceptional candidates and welcome applicants from all backgrounds and locations.