7 дней назад
Marketing Operations Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Marketing Operations Manager (AI) (HubSpot/Revenue Operations): Building Kai's marketing operations foundation across data models, lifecycle management, campaign frameworks, routing, attribution, and pipeline measurement with an accent on AI-native automation and enterprise go-to-market systems. Focus on designing person-to-account architecture, multi-touch attribution, data-quality workflows, conversion tracking, and marketing-sourced revenue reporting.
Location: San Jose, CA, United States
Company
is an AI cybersecurity company developing an autonomous defense platform that uses agentic AI to contextualize, assess, reason about, and execute security work at machine speed.
What you will do
- Own the marketing data model across the marketing automation platform and Sales CRM.
- Design person-to-account architecture, including deduplication, hierarchy handling, and buying-group logic.
- Build lifecycle, campaign, routing, attribution, governance, and measurement frameworks connecting marketing spend to pipeline and revenue.
- Develop AI-driven enrichment, validation, monitoring, lead scoring, qualification, research, and inbound routing workflows.
- Operationalize events, webinars, field programs, partner motions, website conversion tracking, UTM discipline, forms, and progressive profiling.
- Deliver campaign, marketing-sourced, and marketing-influenced pipeline reporting while supporting SLA, recycle, re-entry, ABM, and account-based processes.
Requirements
- 5–8 years of experience in Marketing Operations, GTM Engineering, or Revenue Operations.
- Deep, hands-on HubSpot expertise.
- Fluency in data modeling and a clear philosophy on AI-native operations.
- Ability to build multi-touch attribution with cross-functional credibility.
- Experience with marketing lifecycle, routing, attribution, data quality, and campaign measurement systems.
Culture & Benefits
- Well-funded company with $125M raised.
- Work on an AI-native cybersecurity platform for Fortune 500 and Global 2000 enterprises.
- Competitive salary, meaningful equity, and recognition for contributions.
- Work directly with experienced founders who have more than 20 years of cybersecurity experience each.
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