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About the Role

The Head of Marketing Operations builds and scales the operational infrastructure for the marketing team, managing the marketing tech stack, data model, lead lifecycle, and analytics to create a predictable pipeline engine. This AI-first role involves building systems and deploying AI-powered workflows to enable a lean marketing team to operate at massive scale. The ideal candidate is rigorous, opinionated about tooling, and energized by operational challenges, thinking about marketing with an operator's mindset focused on cadence, accountability, resource allocation, and measurement. This role serves as the connective tissue between Marketing, Sales, and RevOps.

Responsibilities

Own the marketing tech stack end to end: selection, implementation, integration, and data flow standards.
Design and deploy AI-powered workflows to automate high-frequency tasks and evangelize AI adoption.
Own the full lead lifecycle from anonymous visitor through closed-won, including lead scoring, MQL/PQL definitions, SLA enforcement, routing, enrichment, nurture, and sales handoff.
Own marketing analytics, attribution methodology, and leadership dashboards, including pipeline attribution, channel ROI, and performance reviews.
Drive the marketing team's operating rhythm, including quarterly planning, goal tracking, business reviews, budget, and vendor management.
Own data hygiene, privacy compliance (GDPR, CCPA), email deliverability, and the data governance model.

Requirements

6+ years in marketing operations, with significant experience at a high-growth B2B startup.
Experience building marketing operations from scratch or replatforming, preferably at a developer-first or PLG company.
Proven AI builder mindset with experience shipping automations and internal tools using LLMs and workflow platforms.
Track record of owning attribution methodology, lead scoring, routing, and data quality at scale.
Experience running planning cadences, budget, and vendor management.
Impeccable analytical and problem-solving skills; calm under pressure, strong opinions held loosely.

Skills

HubSpot or Marketo
Salesforce
BI tools (Looker, Tableau, Sigma, Hex)
AI-powered workflows (Claude, Clay, Zapier)
Workflow platforms (Clay, Zapier, Make, n8n)
SQL fluency (preferred)
ETL/data pipelines (preferred)
Warehouse-native architecture (preferred)
Hybrid PQL + MQL scoring models (preferred)
Developer tools landscape understanding (preferred)
Outbound infrastructure and deliverability management (preferred)

Location

San Francisco HQ

Work Type

In-person

Experience Level

6+ years

Education Level

Bachelor's degree in a quantitative or technical field (or equivalent hands-on experience)

Benefits

Premium medical, dental, and vision coverage
Monthly wellness benefit
Monthly commuter benefit
Reimbursement for eligible egg freezing and related medical expenses up to $15,000 lifetime maximum
16 weeks of fully paid parental leave for all new parents
Lunch and dinner served daily
Office stocked with snacks, coffee, and health supplements
Fresh bread from a local bakery every morning
Weekly milk tea deliveries
Monthly picnics and parties
Visa sponsorship for exceptional candidates

About the Company

Exa is building a search engine for the AI era, powering Agents, Fortune 500s, and AI labs with its Search API.
The company raised a $250M Series C led by a16z, valuing Exa at $2.2 billion.
Exa is a rapidly growing team of ~100, with a mission to build the most intelligent search engine in history.
The team is described as high agency, low-ego, and united by a challenging problem.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.