Head of Marketing Operations (AI)

Location: Remote-friendly within the United States, with periodic travel to the San Mateo headquarters for team onsites, planning sessions, and other key in-person events.

Compensation: $250K–$280K plus equity.

Company

hirify.global provides an AI platform for building, training, and serving specialized models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Own the marketing technology stack, including automation, CDP or warehouse-native architecture, enrichment, integrations, and Salesforce data flows.
• Run annual and quarterly planning, goal tracking, weekly business reviews, cross-functional program management, and marketing prioritization.
• Manage the marketing budget model, vendor contracts, and headcount planning support alongside the marketing leader.
• Own the lifecycle from anonymous visitor through closed-won, including lead scoring, MQL/PQL definitions, routing, nurture, re-engagement, and sales handoffs.
• Lead marketing analytics, attribution methodology, channel ROI reporting, executive dashboards, and quarterly performance reviews.
• Own data hygiene, privacy compliance, and governance for GDPR, CCPA, and emerging US state laws.

Requirements

• 8+ years of experience in marketing operations, including at least 3 years in a leadership role.
• Experience building or replatforming marketing operations at a B2B SaaS company and working in a startup or fast-scaling growth-stage company.
• Experience running planning cadences, OKRs, and cross-functional program management for a marketing organization.
• Deep fluency in HubSpot or Marketo, Salesforce, and at least one BI tool such as Looker, Tableau, or Sigma.
• Experience with data quality, GDPR/CCPA compliance, attribution, budgets, vendors, and headcount planning.
• Must be able to work within the United States and travel periodically to the San Mateo HQ.

Nice to have

• Experience at a developer-first or product-led growth company.
• SQL fluency.
• Experience with hybrid PQL and MQL scoring models.

Culture & Benefits

• Work with AI infrastructure and low-latency inference and model-serving technologies.
• Collaborate with engineers and AI researchers on technology used by businesses and developers.
• Operate in a fast-growing environment focused on ownership, direct impact, and execution.
• Equity is included in the compensation package.
• Inclusive, equal-opportunity workplace committed to diversity.